Qualitative and quantitative measurement of MOVEMENT patterns.
An increase in the rate of speed.
The measurement and recording of MOTOR ACTIVITY to assess rest/activity cycles.
The physical activity of a human or an animal as a behavioral phenomenon.
The use of electronic equipment to observe or record physiologic processes while the patient undergoes normal daily activities.
Usual level of physical activity that is less than 30 minutes of moderate-intensity activity on most days of the week.
Physical activity which is usually regular and done with the intention of improving or maintaining PHYSICAL FITNESS or HEALTH. Contrast with PHYSICAL EXERTION which is concerned largely with the physiologic and metabolic response to energy expenditure.
The act of taking solids and liquids into the GASTROINTESTINAL TRACT through the mouth and throat.
The chemical reactions involved in the production and utilization of various forms of energy in cells.
Methods and procedures for the diagnosis of diseases or dysfunction of the digestive system or its organs or demonstration of their physiological processes.
An activity in which the body advances at a slow to moderate pace by moving the feet in a coordinated fashion. This includes recreational walking, walking for fitness, and competitive race-walking.
The intentional interruption of transmission at the NEUROMUSCULAR JUNCTION by external agents, usually neuromuscular blocking agents. It is distinguished from NERVE BLOCK in which nerve conduction (NEURAL CONDUCTION) is interrupted rather than neuromuscular transmission. Neuromuscular blockade is commonly used to produce MUSCLE RELAXATION as an adjunct to anesthesia during surgery and other medical procedures. It is also often used as an experimental manipulation in basic research. It is not strictly speaking anesthesia but is grouped here with anesthetic techniques. The failure of neuromuscular transmission as a result of pathological processes is not included here.
The continuous measurement of physiological processes, blood pressure, heart rate, renal output, reflexes, respiration, etc., in a patient or experimental animal; includes pharmacologic monitoring, the measurement of administered drugs or their metabolites in the blood, tissues, or urine.
Method for obtaining information through verbal responses, written or oral, from subjects.
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Cyclical movement of a body part that can represent either a physiologic process or a manifestation of disease. Intention or action tremor, a common manifestation of CEREBELLAR DISEASES, is aggravated by movement. In contrast, resting tremor is maximal when there is no attempt at voluntary movement, and occurs as a relatively frequent manifestation of PARKINSON DISEASE.
The ability to carry out daily tasks and perform physical activities in a highly functional state, often as a result of physical conditioning.
Calculation of the energy expenditure in the form of heat production of the whole body or individual organs based on respiratory gas exchange.
An indicator of body density as determined by the relationship of BODY WEIGHT to BODY HEIGHT. BMI=weight (kg)/height squared (m2). BMI correlates with body fat (ADIPOSE TISSUE). Their relationship varies with age and gender. For adults, BMI falls into these categories: below 18.5 (underweight); 18.5-24.9 (normal); 25.0-29.9 (overweight); 30.0 and above (obese). (National Center for Health Statistics, Centers for Disease Control and Prevention)
Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.
A status with BODY WEIGHT that is grossly above the acceptable or desirable weight, usually due to accumulation of excess FATS in the body. The standards may vary with age, sex, genetic or cultural background. In the BODY MASS INDEX, a BMI greater than 30.0 kg/m2 is considered obese, and a BMI greater than 40.0 kg/m2 is considered morbidly obese (MORBID OBESITY).
Drugs that interrupt transmission at the skeletal neuromuscular junction without causing depolarization of the motor end plate. They prevent acetylcholine from triggering muscle contraction and are used as muscle relaxants during electroshock treatments, in convulsive states, and as anesthesia adjuvants.
An activity in which the body is propelled by moving the legs rapidly. Running is performed at a moderate to rapid pace and should be differentiated from JOGGING, which is performed at a much slower pace.
Difficulty in SWALLOWING which may result from neuromuscular disorder or mechanical obstruction. Dysphagia is classified into two distinct types: oropharyngeal dysphagia due to malfunction of the PHARYNX and UPPER ESOPHAGEAL SPHINCTER; and esophageal dysphagia due to malfunction of the ESOPHAGUS.
The transmission and reproduction of transient images of fixed or moving objects. An electronic system of transmitting such images together with sound over a wire or through space by apparatus that converts light and sound into electrical waves and reconverts them into visible light rays and audible sound. (From Webster, 3rd ed)
A status with BODY WEIGHT that is above certain standard of acceptable or desirable weight. In the scale of BODY MASS INDEX, overweight is defined as having a BMI of 25.0-29.9 kg/m2. Overweight may or may not be due to increases in body fat (ADIPOSE TISSUE), hence overweight does not equal "over fat".
The relative amounts of various components in the body, such as percentage of body fat.
The measurement of the quantity of heat involved in various processes, such as chemical reactions, changes of state, and formations of solutions, or in the determination of the heat capacities of substances. The fundamental unit of measurement is the joule or the calorie (4.184 joules). (McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)
Predetermined sets of questions used to collect data - clinical data, social status, occupational group, etc. The term is often applied to a self-completed survey instrument.
The technique that deals with the measurement of the size, weight, and proportions of the human or other primate body.
Expenditure of energy during PHYSICAL ACTIVITY. Intensity of exertion may be measured by rate of OXYGEN CONSUMPTION; HEAT produced, or HEART RATE. Perceived exertion, a psychological measure of exertion, is included.
Any observable response or action of a child from 24 months through 12 years of age. For neonates or children younger than 24 months, INFANT BEHAVIOR is available.
Manner or style of walking.
Computer-assisted processing of electric, ultrasonic, or electronic signals to interpret function and activity.
Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.
Determination, by measurement or comparison with a standard, of the correct value of each scale reading on a meter or other measuring instrument; or determination of the settings of a control device that correspond to particular values of voltage, current, frequency or other output.
Controlled physical activity which is performed in order to allow assessment of physiological functions, particularly cardiovascular and pulmonary, but also aerobic capacity. Maximal (most intense) exercise is usually required but submaximal exercise is also used.
Typical way of life or manner of living characteristic of an individual or group. (From APA, Thesaurus of Psychological Index Terms, 8th ed)
Educational institutions.
The number of times the HEART VENTRICLES contract per unit of time, usually per minute.
The amount of fat or lipid deposit at a site or an organ in the body, an indicator of body fat status.
Behaviors expressed by individuals to protect, maintain or promote their health status. For example, proper diet, and appropriate exercise are activities perceived to influence health status. Life style is closely associated with health behavior and factors influencing life style are socioeconomic, educational, and cultural.
The act, process, or result of passing from one place or position to another. It differs from LOCOMOTION in that locomotion is restricted to the passing of the whole body from one place to another, while movement encompasses both locomotion but also a change of the position of the whole body or any of its parts. Movement may be used with reference to humans, vertebrate and invertebrate animals, and microorganisms. Differentiate also from MOTOR ACTIVITY, movement associated with behavior.
The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms.
A noninvasive method for assessing BODY COMPOSITION. It is based on the differential absorption of X-RAYS (or GAMMA RAYS) by different tissues such as bone, fat and other soft tissues. The source of (X-ray or gamma-ray) photon beam is generated either from radioisotopes such as GADOLINIUM 153, IODINE 125, or Americanium 241 which emit GAMMA RAYS in the appropriate range; or from an X-ray tube which produces X-RAYS in the desired range. It is primarily used for quantitating BONE MINERAL CONTENT, especially for the diagnosis of OSTEOPOROSIS, and also in measuring BONE MINERALIZATION.
Elements of limited time intervals, contributing to particular results or situations.
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.
The performance of the basic activities of self care, such as dressing, ambulation, or eating.
The rate at which oxygen is used by a tissue; microliters of oxygen STPD used per milligram of tissue per hour; the rate at which oxygen enters the blood from alveolar gas, equal in the steady state to the consumption of oxygen by tissue metabolism throughout the body. (Stedman, 25th ed, p346)
Encouraging consumer behaviors most likely to optimize health potentials (physical and psychosocial) through health information, preventive programs, and access to medical care.
Studies in which variables relating to an individual or group of individuals are assessed over a period of time.
Studies to determine the advantages or disadvantages, practicability, or capability of accomplishing a projected plan, study, or project.
Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances.
A plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that an hypothesis can be tested properly.
Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.

Objectively measured physical activity and C-reactive protein: National Health and Nutrition Examination Survey 2003-2004. (1/226)

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Evaluation of 2 self-report measures of physical activity with accelerometry in young adults. (2/226)

BACKGROUND: The purpose of this paper is to evaluate self-reported physical activity of young adults using 1-week and 1-year recall measures with an accelerometer as the criterion measure. METHODS: Participants were a subsample (N = 121, 24 +/- 1.7 yrs) from a large longitudinal cohort study. Participants completed a detailed 1-year physical activity recall, wore an accelerometer for 1 week and then completed a brief 1-week physical activity recall when they returned the accelerometer. RESULTS: Mean values for moderate-to-vigorous physical activity (MVPA) from the 3 instruments were 3.2, 2.2, and 13.7 hours/wk for the accelerometer, 1-week recall, and 1-year recall, respectively (all different from each other, P < .001). Spearman correlations for moderate, vigorous, and MVPA between the accelerometer and the 1-week recall (0.30, 0.50, and 0.40, respectively) and the 1-year recall (0.31, 0.42, and 0.44, respectively) demonstrated adequate validity. CONCLUSIONS: Both recall instruments may be used for ranking physical activity at the group level. At the individual level, the 1-week recall performed much better in terms of absolute value of physical activity. The 1-year recall overestimated total physical activity but additional research is needed to fully test its validity.  (+info)

A worksite vitality intervention to improve older workers' lifestyle and vitality-related outcomes: results of a randomised controlled trial. (3/226)

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Energy cost of common activities in children and adolescents. (4/226)

BACKGROUND: The Compendium of Energy Expenditures for Youth assigns MET values to a wide range of activities. However, only 35% of activity MET values were derived from energy cost data measured in youth; the remaining activities were estimated from adult values. PURPOSE: To determine the energy cost of common activities performed by children and adolescents and compare these data to similar activities reported in the compendium. METHODS: Thirty-two children (8-11 years old) and 28 adolescents (12-16 years) completed 4 locomotion activities on a treadmill (TRD) and 5 age-specific activities of daily living (ADL). Oxygen consumption was measured using a portable metabolic analyzer. RESULTS: In children, measured METs were significantly lower than compendium METs for 3 activities [basketball, bike riding, and Wii tennis (1.1-3.5 METs lower)]. In adolescents, measured METs were significantly lower than compendium METs for 4 ADLs [basketball, bike riding, board games, and Wii tennis (0.3-2.5 METs lower)] and 3 TRDs [2.24 m . s(-1), 1.56 m . s(-1), and 1.34 m . s(-1) (0.4-0.8 METs lower)]. CONCLUSION: The Compendium of Energy Expenditures for Youth is an invaluable resource to applied researchers. Inclusion of empirically derived data would improve the validity of the Compendium of Energy Expenditures for Youth.  (+info)

Effect of a physical activity intervention on the metabolic syndrome in Pakistani immigrant men: a randomized controlled trial. (5/226)

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Use of accelerometry to measure physical activity in adults and the elderly. (6/226)

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Social cognitive influences on physical activity participation in long-term breast cancer survivors. (7/226)

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Habitual levels of high, but not moderate or low, impact activity are positively related to hip BMD and geometry: results from a population-based study of adolescents. (8/226)

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Methods: Based on methodology from a study in the USA using the National Health and Nutrition Examination Survey (Steeves et al., 2015), accelerometer-derived variables were computed from the Health Survey for England 2008. For each of the 25 sub-major groups of the Standard Occupational Classification 2000, the following variables were derived: total activity counts/day, activity counts/min, proportion of wear-time in SB, light PA, lifestyle PA and moderate-to-vigorous PA. The sum of the ranks of these variables was used to create a summary score for each occupational category: this score was ranked to establish categories with low, intermediate and high OA ...
Background: Epidemiologic studies examining physical activity have used self-report or the preferred objective measurement devices of pedometers or accelerometers. NHANES 2003-2004 used remuneration, in-person and express mail methods to obtain accelerometer data from 7176 individuals with 4867 (68%) providing 4+ valid days of wear. Herein we describe the experience of another national epidemiologic study that used telephone and regular mail to obtain accelerometer data.. Methods: This is an ancillary study to REGARDS, a national, population-based, longitudinal study of 30,239 blacks and whites, aged , 45 years, enrolled January 2003-October 2007. Participants were recruited from communities across all 48 of the lower United States, and include residents of 1,855 of the 3,033 US counties. Baseline evaluations were conducted through computer-assisted telephone interview (CATI), self-administered questionnaires, and an in-home visit. Participants are followed by CATI every 6 months. Starting with ...
Purpose: This study described the adherence and performance of the accelerometer in a cohort study of adults. Methods: From 2008-2011, 16,415 Hispanic/Latino adults age 18-74 years enrolled in the Hispanic Community Health Study/Study of Latinos. Immediately following the baseline visit, participants wore an Actical accelerometer for one week. This study explored correlates of accelerometer participation and adherence, defined as wearing it for 3-6 days for ,=10 hours each day. Accelerometer performance was assessed by exploring the number of different values of accelerometer counts/minute for each participant. Results: Overall, 92.3% (n=15,153) had at least one day with accelerometer data and 77.7% (n=12,750) were adherent. Both accelerometer participation and adherence were higher among participants who were married or partnered, reported a higher household income, were first generation immigrants, or reported lower sitting time. Accelerometer participation was higher among those with no stair ...
Animal-attached devices can be used on cryptic species to measure their movement and behaviour, enabling unprecedented insights into fundamental aspects of animal ecology and behaviour. However, direct observations of subjects are often still necessary to translate biologging data accurately into meaningful behaviours. As many elusive species cannot easily be observed in the wild, captive or domestic surrogates are typically used to calibrate data from devices. However, the utility of this approach remains equivocal. Here, we assess the validity of using captive conspecifics, and phylogenetically-similar domesticated counterparts (surrogate species) for calibrating behaviour classification. Tri-axial accelerometers and tri-axial magnetometers were used with behavioural observations to build random forest models to predict the behaviours. We applied these methods using captive Alpine ibex (Capra ibex) and a domestic counterpart, pygmy goats (Capra aegagrus hircus), to predict the behaviour including
MONDAY, Oct. 23, 2017 (HealthDay News) -- Interactions between genes and physical activity and genes and sedentary behavior may play a role in the development of obesity, according to a study published in the October issue of Diabetes.. Jee-Young Moon, Ph.D., from Albert Einstein College of Medicine in Bronx, New York, and colleagues analyzed interactions of accelerometer-measured moderate-to-vigorous physical activity (MVPA) and sedentary time with genetic variants on obesity among 9,645 U.S. Hispanics/Latinos. Ninety-seven genetic variants associated with body mass index (BMI) were used to calculate an overall genetic risk score (GRS), central nervous system (CNS)-related GRS, and non-CNS GRS.. The researchers found that genetic association with BMI was stronger in individuals with lower MVPA (first tertile) versus higher MVPA (third tertile; Pinteraction = 0.005) and in those with greater sedentary time (third tertile) versus less sedentary time (first tertile; Pinteraction = 0.006). Obesity ...
Results Those selected to be offered an accelerometer were older, more likely to be retired and to have a limiting longstanding illness than participants not in the accelerometry subsample. Seven-day accelerometer wearers were older (OR 1.02, 95% CI 1.02 to1.03) though less likely to be retired (0.77, 0.62 to 0.97) or otherwise economically inactive (0.62, 0.49 to 0.78) or live in a deprived area (0.78, 0.62 to 0.96), and more likely to be ex- (1.42, 1.14 to 1.78) or never-smokers (1.37, 1.13 to 1.67), and to have been moderately physically active in the past month (1.45, 1.20 to 1.75) or met the physical activity recommendations (1.45, 1.17 to 1.79). Four- to seven-day wearers were also older (1.01, 1.01 to 1.02), less likely to be retired (0.77, 0.62 to 0.95) or otherwise economically inactive (0.60, 0.50 to 0.73), but were more likely to have a limiting longstanding illness; differences in self-reported activity were less marked.. ...
ActiGraph is dedicated to providing our clients with highly accurate, innovative, and cost effective objective monitoring solutions to help them achieve their research and clinical data collection, analysis, and management objectives. Through close collaborative relationships with our clients, we strive to proactively identify emerging trends and understand the changing landscape of our industry, allowing us to deliver cutting edge hardware, software, and data management solutions to meet the evolving needs of the scientific community.
You should have a clear plan covering all the details in your recording session. Prepare to be patient. Setting up always takes a bit longer than expected, and when carrying out experiments ... the third times the charm! Keep your device charged! It is best to ensure you have more than 50% charge before you start. Where do you want to place the electrodes? For how long do you want to record? Do you have a good naming scheme for your EEG files? What data formats do you want to save? Do you need accelerometry data? Do you want a line filter applied to the data (if so 50 or 60 Hz?)? Do you have an electrode referencing scheme planned ahead? You should include in your montage construct a solution for data referencing. With our systems, data will be recorded referenced to the device electrical ground (the CMS electrode), but for data analysis you should always reference the data to an electrode or to the electrode average. See, e.g., , this for more on referencing. ...
Where do you want to place the electrodes? For how long do you want to record? Do you have a good naming scheme for your EEG files? What data formats do you want to save? Do you need accelerometry data? Do you want a line filter applied to the data (if so 50 or 60 Hz?)? Do you have an electrode referencing scheme? You should include in your montage a solution for data referencing. Data will be recorded referenced to the device electrical ground (the CMS electrode), but for data analysis you should always reference the data to an electrode or to the electrode average. And finally .. prepare to be patient. Setting up always takes a bit longer than expected, and the third time is the charm! ...
Software add-on with proprietary metrics for Engagement, Workload, Drowsiness, and more Classify Cognitive States with this analysis software add-on for B-Alert Systems (Windows 7/XP OS only). The Cognitive States Analysis software provides real-time monitoring of fatigue, stress, confusion, engagement and workload with fully customizable gauges. Metrics classify data from B-Alert Wireless EEG systems. The GUI intuitively represents both the raw and processed data for easy understanding. Cognitive States Software also provides access to accelerometry data.. This cognitive states analysis software add-on(B-Alert X10 sold separately) and the B-Alert X10 are components of a complete data acquisition and analysis system when used with BIOPACs AcqKnowledge software, the MP data analysis and acquisition hardware platforms, amplifiers and other system elements. ...
Respiration affects the cardiovascular system significantly and this is observed in hemodynamic parameters such as stroke volume and heart rate. The morphology of signals relevant to the heart also changes with respiration. Such changes have been used to extract respiration signal from the electrocardiogram (ECG). It is also shown that accelerometers placed on the body can be used to extract respiration signals. Apart from measuring the respiration rate or estimating the respiration signal morphology, what is also important is to detect the phases of respiration using the same accelerometers. This project mainly focuses on detection of the start and end timings of respiration phases and also discriminating heart beats related to inhaling from those related to exhale phases rather than detecting them alone or computing respiration rates only. Thus, the idea behind this study is to compare the efficacy of accelerometer-derived respiration (ADR) to Electrocardiogram derived respiratory (EDR) in ...
ActiGraph is dedicated to providing our clients with highly accurate, innovative, and cost effective objective monitoring solutions to help them achieve their research and clinical data collection, analysis, and management objectives. Through close collaborative relationships with our clients, we strive to proactively identify emerging trends and understand the changing landscape of our industry, allowing us to deliver cutting edge hardware, software, and data management solutions to meet the evolving needs of the scientific community.
ActiGraph is dedicated to providing our clients with highly accurate, innovative and cost effective objective monitoring solutions to help them achieve their research and clinical data collection, analysis and management objectives.
TY - GEN. T1 - Manual and accelerometer analysis of head nodding patterns in goal-oriented dialogues. AU - Inoue, Masashi. AU - Irino, Toshio. AU - Furuyama, Nobuhiro. AU - Hanada, Ryoko. AU - Ichinomiya, Takako. AU - Massaki, Hiroyasu. PY - 2011. Y1 - 2011. N2 - We studied communication patterns in face-to-face dialogues between people for the purpose of identifying conversation features that can be exploited to improve human-computer interactions. We chose to study the psychological counseling setting as it provides good examples of task-oriented dialogues. The dialogues between two participants, therapist and client, were video recorded. The participants head movements were measured by using head-mounted accelerometers. The relationship between the dialogue process and head nodding frequency was analyzed on the basis of manual annotations. The segments where nods of the two participants correlated were identified on the basis of the accelerometer data. Our analysis suggests that there are ...
Because 2 in 5 adults (42%) with rheumatoid arthritis (RA) are inactive, public health initiatives need to address the lack of motivation to exercise and promote the benefits of physical activity in this population, say authors of an article published online in Arthritis Care & Research.. The researchers analyzed data on 176 patients with RA, 18 years of age or older, enrolled in a randomized controlled trial to assess the effectiveness of an intervention promoting physical activity. The team evaluated pre-intervention data for inactivity that was defined as no sustained 10-minute periods of moderate-to-vigorous physical activity during a week. They also assessed the relationships between inactivity and modifiable risk factors, such as motivation for physical activity, obesity, and pain. Results show that 42% of RA patients were inactive-participating in no moderate-to-vigorous physical activity periods of at least 10 minutes during a 7-day period of objective activity monitoring. Researchers ...
Because 2 in 5 adults (42%) with rheumatoid arthritis (RA) are inactive, public health initiatives need to address the lack of motivation to exercise and promote the benefits of physical activity in this population, say authors of an article published online in Arthritis Care & Research.. The researchers analyzed data on 176 patients with RA, 18 years of age or older, enrolled in a randomized controlled trial to assess the effectiveness of an intervention promoting physical activity. The team evaluated pre-intervention data for inactivity that was defined as no sustained 10-minute periods of moderate-to-vigorous physical activity during a week. They also assessed the relationships between inactivity and modifiable risk factors, such as motivation for physical activity, obesity, and pain. Results show that 42% of RA patients were inactive-participating in no moderate-to-vigorous physical activity periods of at least 10 minutes during a 7-day period of objective activity monitoring. Researchers ...
ActiGraph is dedicated to providing our clients with highly accurate, innovative, and cost effective objective monitoring solutions to help them achieve their research and clinical data collection, analysis, and management objectives. Through close collaborative relationships with our clients, we strive to proactively identify emerging trends and understand the changing landscape of our industry, allowing us to deliver cutting edge hardware, software, and data management solutions to meet the evolving needs of the scientific community.
Baseline and postintervention data were collected from 72 Latinas (mean age = 43.01; SD = 9.05) who participated in Caminando con Fe/Walking with Faith, a multilevel intervention promoting PA among church-going Latinas. Participants completed the GPAQ and were asked to wear the accelerometer for 7 consecutive days at baseline and again 6 months later. Accelerometer data were aggregated into 5 levels of activity intensity (sedentary, light, moderate, moderate-vigorous, and vigorous) and correlated to self-reported mean minutes of PA across several domains (leisure time, work, commute and household chores). ...
Eleven of twelve countries are providing accelerometer data and 11 are providing GIS data. Current projections indicate that 14,119 participants will provide survey data on built environments and physical activity and 7145 are likely to provide objective data on both the independent and dependent va …
Ready to take on the trails, the Garmin Edge 830 touchscreen cycling computer puts trail maps and ratings at your fingertips and offers insights to help you improve. Preloaded with the Garmin Cycling Map, the Edge 830 provides turn-by-turn directions and navigation alerts. Popularity routing chooses from the trails most travelled by fellow cyclists - so you can discover new routes and get a taste for the local biking scene. With the preloaded Trailforks app from the Connect IQ Store, you can seamlessly sync your rides planned on Trailforks right to your Edge. Trailforks features topographic information, points of interest, heatmaps, trail conditions and much more. The Edge 830 also captures every stat, such as jump count, jump distance and hang time and it also has ratings for Grit and Flow. Grit rates the difficulty of a ride using GPS, elevation and accelerometer data and Flow measures how smoothly you descend a trail. For safety, the Edge 830 assistance feature allows you to manually send ...
Do you want to analyse your own data without depending on others? Dr. van Hees (Accelting) can help you to become familiar with both the theoretical and practical aspects of analysing accelerometer data for human movement and sleep research. Dr. van Hees typically does this via online sessions, involving a combination of discussions, live demonstrations, and lectures. You are free to add your colleagues to the call ...
Background: Workplace design can impact workday physical activity (PA) and sedentary time. The purpose of this study was to evaluate PA behavior among university employees before and after moving into a new building. Methods: A pre-post, experimental versus control group study design was used. PA data were collected using surveys and accelerometers from university faculty and staff. Accelerometry was used to compare those moving into the new building (MOVERS) and those remaining in existing buildings (NONMOVERS) and from a control group (CONTROLS). Results: Survey results showed increased self-reported PA for MOVERS and NONMOVERS. All 3 groups significantly increased in objectively collected daily energy expenditure and steps per day. The greatest steps per day increase was in CONTROLS (29.8%) compared with MOVERS (27.5%) and NONMOVERS (15.9%), but there were no significant differences between groups at pretest or posttest. Conclusions: Self-reported and objectively measured PA increased from ...
Percentage of patients with diagnosed gastrointestinal cancer who showed daily compliance using activity monitors and tablet computers to measure physical activity ...
Despite widespread use of accelerometers to objectively monitor physical activity among adults and youth, little attention has been given to older populations. The purpose of this study was to define an accelerometer-count cut point for a group of older adults and to then assess the groups physical …
Crime and safety are commonly cited barriers to physical activity (PA). We had three objectives, 1) describe the association between objective crime measures and perceptions of crime, 2) analyze the relationships between each type of crime and accelerometer-measured physical activity in caretakers and young children (ages 3-5 years), and 3) explore for early gender differences in the relationship between crime and physical activity in young children. Data are from the cross-sectional baseline data of an ongoing randomized controlled trial in Nashville, Tennessee spanning September 2012 through May 2014. Data was analyzed from 480 Hispanic dyads (adult caretaker and 3-5 year old child). Objective crime rate was assessed in ArcGIS and perception of crime was measured by caretaker agreement with the statement The crime rate in my neighborhood makes it unsafe to go on walks. The primary outcome was accelerometer-measured physical activity over seven consecutive days. Objective and perceived crime ...
Tri-axial accelerometers are high-level output transducers requiring no additional amplification since the amplifier is built into the transducer. They
Background: Aspects of physical functioning, including balance and gait, are affected after surgery for lower limb musculoskeletal tumors. These are not routinely measured but likely are related to how well patients function after resection or amputation for a bone or soft tissue sarcoma. Small, inexpensive portable accelerometers are available that might be clinically useful to assess balance and gait in these patients, but they have not been well studied.. Questions/purposes: In patients treated for lower extremity musculoskeletal tumors, we asked: (1) Are accelerometer-based body-worn monitor assessments of balance, gait, and timed up and go tests (TUG) feasible and acceptable? (2) Do these accelerometer-based body-worn monitor assessments produce clinically useful data (face validity), distinguish between patients and controls (discriminant validity), reflect findings obtained using existing clinical measures (convergent validity) and standard manual techniques in clinic (concurrent ...
Physical activity is a cornerstone in the prevention and treatment of obesity. There are relatively few studies that explore the effect of accelerometer-determined moderate-to-vigorous physical activity (MVPA) on neck circumference (NC), most of them confined to single high-income countries. The present study investigated the association of accelerometer-determined MVPA with NC in adolescents and adults from eight Latin American countries, which are mostly upper-middle income countries. The sample consisted of 2370 participants (47.8% male) from the Latin American Study of Nutrition and Health, a multicenter cross-sectional nutrition and health surveillance study of a nationally representative sample from eight Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Peru, and Venezuela). Times (min/day) in MVPA (defined as time accumulated at ≥1952 activity counts/min) was assessed by ActiGraph GT3X+ accelerometer over 7 days. NC for adolescent was categorized as abnormal if
TY - JOUR. T1 - International study of objectively measured physical activity and sedentary time with body mass index and obesity: IPEN adult study. AU - Van Dyck, Delfien. AU - Cerin, Ester. AU - De Bourdeaudhuij, Ilse. AU - Hinckson, Erica A.. AU - Reis, Rodrigo S.. AU - DAVEY, Rachel. AU - Sarmiento, Olga L.. AU - Mitáš, Josef. AU - Troelsen, Jens. AU - MacFarlane, Duncan J.. AU - Salvo, Deborah. AU - Aguinaga-Ontoso, Ines. AU - Owen, Neville. AU - Cain, Kelli L.. AU - Sallis, James F.. PY - 2015. Y1 - 2015. N2 - BACKGROUND: Physical activity (PA) has been consistently implicated in the etiology of obesity, whereas recent evidence on the importance of sedentary time remains inconsistent. Understanding of dose-response associations of PA and sedentary time with overweight and obesity in adults can be improved with large-scale studies using objective measures of PA and sedentary time. The purpose of this study was to examine the strength, direction and shape of dose-response associations of ...
Previous questionnaires targeting older adults sedentary time have underestimated total sedentary time, possibly by not including all relevant specific sedentary behaviors. The current study aimed to investigate the criterion validity and test-retest reliability of a new questionnaire assessing a comprehensive set of sedentary behaviors. Additionally, we examined whether the criterion validity of the questionnaire differed according to age, gender and educational level. A sample of home-dwelling Belgian older adults (|64 years, n = 508) completed a newly-developed questionnaire assessing twelve specific sedentary behaviors and wore an accelerometer for seven consecutive days as criterion measure. A subsample (n = 28) completed the questionnaire a second time to examine test-retest reliability. Data collection occurred between September 2010 and October 2012. Correlational analyses examining self-reported total sitting time and accelerometer-derived sedentary time yielded a Spearmans ρ of 0.30. Using
This cross-sectional study is one of the first to examine and compare the independent associations of objectively measured sedentary time, moderate to vigorous physical activity (MVPA) and fitness with cardio-metabolic risk factors. We studied 543 men and women (aged 18-49 years) from the NHANES 2003-2004 survey. Sedentary time and MVPA were measured by accelerometry. Fitness was assessed with a submaximal treadmill test. Cardio-metabolic risk factors included: waist circumference (WC), BMI, blood pressure, fasting glucose, HDL- and non HDL cholesterol, triglycerides (TG), and C-reactive protein (CRP). Sedentary time, MVPA and fitness were used as predictors for the cardio-metabolic outcomes in a multiple regression analysis. Standardized regression coefficients were computed. Results show that sedentary time was associated with HDL-cholesterol (β = −0.080, p = 0.05) and TG (β = 0.080, p = 0.03). These results became non-significant after adjustment for MVPA and fitness. MVPA was associated with WC
Obesity treatment and prevention in youth is challenging. Thus, we are developing the KNOWME Network, a suite of wearable, Bluetooth-enabled wireless devices for monitoring obesity-related behaviors in minority youth. Here we present the Bluetooth-enabled Accelerometer (BEA), developed to address a lack of Bluetooth-enabled, research-quality accelerometers. The BEA provides information about body movement and orientation using an accelerometer and gyroscope combination that interfaces directly with a mobile phone/computer in real time. The accuracy of BEA-based models was assessed by estimating walking speed. Purpose: To develop personalized models for estimating treadmill walking speed using the BEA. Methods: Five subjects (4 male, 1 female; age 35 ± 12) walked at 7 speeds ranging from 2.5 to 4.0 miles per hour (mph) for 5 minutes per speed while wearing the BEA on the right hip. The BEA recorded motion information with a tri-axial accelerometer and tri-axial gyroscope and transmitted it via ...
Research on sedentary time and health outcomes in older adults has focused primarily on outcomes of mortality and cardiometabolic disease risk factors or outcomes. A growing body of longitudinal evidence suggests an association between sedentary time and mortality.48 49 There also appears to be an association between sedentary time and some cardiometabolic disease risk factors, although much of the evidence comes from cross-sectional studies.50-52 There is a dearth of research on the association of sedentary time with other health outcomes such as cancer, pulmonary disease, mental health and more. Furthermore, few high-quality studies have looked at the association between sedentary time and geriatric-relevant health outcomes, that is, non-disease outcomes that strongly influence quality of life in this population.. Geriatric-relevant outcomes include physical function, cognitive function, urinary incontinence and mental health (depressive symptoms). Research on these outcomes and their ...
Accelerometry: A new approach to real-world outcome measures in rehabilitation. Constraint-Induced (CI) Movement Therapy, is a new treatment for chronic upper extremity hemiparesis. It has been cited by the Chair of a committee convened by NIH to assess the effectiveness of treatments in physical neurorehabilitation as one of the few modalities for which there is sound evidence of successful transfer of therapeutic effect from the clinic to the life situation. Traditional instruments in physical rehabilitation, however, do not provide a direct measure of motor function in the home. Therefore, it was necessary that this laboratory, which develops and evaluates new CI Therapy techniques, develop new methods for assessing real-world motor outcomes. The development of cognitive rehabilitation techniques also demand innovations in measurement, since treatment adherence and effect are best evaluated by direct, continuous, and objective measures of cognitive function in the home. Current ...
Administrative Coordinating Center, University of Florida, Gainesville, FL: Marco Pahor, MD-Principal Investigator of the LIFE Study; Jack M. Guralnik, MD, PhD-Co‐Investigator of the LIFE study (University of Maryland School of Medicine, Baltimore, MD); Christiaan Leeuwenburgh, PhD; Connie Caudle; Lauren Crump, MPH; Latonia Holmes; Jocelyn Lee, PhD; Ching‐ju Lu, MPH.. Data Management, Analysis and Quality Control Center, Wake Forest University, Winston Salem, NC: Michael E. Miller, PhD-DMAQC Principal Investigator; Mark A. Espeland, PhD-DMAQC Co‐Investigator; Walter T. Ambrosius, PhD; William Applegate, MD; Daniel P. Beavers, PhD, MS; Robert P. Byington, PhD, MPH, FAHA; Delilah Cook, CCRP; Curt D. Furberg, MD, PhD; Lea N. Harvin, BS; Leora Henkin, MPH, Med; John Hepler, MA; Fang‐Chi Hsu, PhD; Laura Lovato, MS; Wesley Roberson, BSBA; Julia Rushing, BSPH, MStat; Scott Rushing, BS; Cynthia L. Stowe, MPM; Michael P. Walkup, MS; Don Hire, BS; W. Jack Rejeski, PhD; Jeffrey A. Katula, PhD, MA; ...
Accelerometers provide a measure of step-count. Reliability and validity of step-count and pedal-revolution count measurements by the GT3X+ accelerometer, placed at different anatomical locations, is absent in the literature. The purpose of this study was to investigate the reliability and validity of step and pedal-revolution counts produced by the GT3X+ placed at different anatomical locations during running and bicycling. Twenty-two healthy adults (14 men and 8 women) completed running and bicycling activity bouts (5 minutes each) while wearing 6 accelerometers: 2 each at the waist, thigh and shank. Accelerometer and video data were collected during activity. Excellent reliability and validity were found for measurements taken from accelerometers mounted at the waist and shank during running (Reliability: intraclass correlation (ICC) ≥ 0.99; standard error of measurement (SEM) ≤1.0 steps;
To be able to curb the global pandemic of physical inactivity and the associated 5.3 million deaths per year, we need to understand the basic principles that govern physical activity. However, there is a lack of large-scale measurements of physical activity patterns across free-living populations worldwide. Here we leverage the wide usage of smartphones with built-in accelerometry to measure physical activity at the global scale. We study a dataset consisting of 68 million days of physical activity for 717,527 people, giving us a window into activity in 111 countries across the globe. We find inequality in how activity is distributed within countries and that this inequality is a better predictor of obesity prevalence in the population than average activity volume. Reduced activity in females contributes to a large portion of the observed activity inequality. Aspects of the built environment, such as the walkability of a city, are associated with a smaller gender gap in activity and lower ...
Publishing in Annals of Internal Medicine, researchers looked at sedentary behaviour and reported that increased sedentary behaviour, both in total volume and prolonged uninterrupted bouts, was associated with increased risk of death.. Dr Amitava Banerjee, Senior Clinical Lecturer in Clinical Data Science and Honorary Consultant Cardiologist, UCL, said: This large-scale US study in nearly 8000 individuals over the age of 45 years measured physical activity using accelerometers which is much more objective than self-report. There were three main findings. First, inactivity or sedentary behaviour made up most of the waking day: 12.3 out of 16 hours. Second, the total time spent inactive as well as the average duration of each period of inactivity were both associated with a higher risk of all-cause mortality. Third, the increased risk of mortality associated with sedentary behaviour was lower in those individuals who kept sedentary periods to less than 30 minutes.. This is an observational ...
The SenseWear armband monitor utilizes multiple heat detecting sensors in addition to a tri-axial accelerometer to assess physical activity, which considerably enhances its accuracy in comparison to other commonly used monitors. We conducted foundational research with the Sensewear and documented the advantages of this technology over other monitors using the doubly-labelled method as well as with portable indirect calorimetry methods. The Sensewear became accepted as perhaps the most valid research grade tool. While it is no longer commercially available, our lab still uses it in studies as a de-facto alloyed standard for comparisons with other monitors and assessments. ...
For data on gene variants, the MGH researchers tapped genome-wide association studies conducted in the U.K. and around the world. The U.K.-based studies focused on physical activity, while the global ones covered depression.. The data of the physical activity-centered studies came from two different populations: The self-reported levels by a total of 377,000 participants, and the readings from accelerometers worn by more than 91,000 people. Meanwhile, the depression-focused studies compiled data from 143,000 participants who were either healthy or diagnosed with major depressive disorder.. The researchers evaluated the information from the different studies and compared them. They found that the accelerometer-measured data lent credence to the theory that physical activity protected against depression.. However, analysis of the self-reported activity data did not produce similar results. The researchers attributed this dissimilarity to several factors.. First, the participants might have been ...
ActiGraph is dedicated to providing our clients with highly accurate, innovative, and cost effective objective monitoring solutions to help them achieve their research and clinical data collection, analysis, and management objectives. Through close collaborative relationships with our clients, we strive to proactively identify emerging trends and understand the changing landscape of our industry, allowing us to deliver cutting edge hardware, software, and data management solutions to meet the evolving needs of the scientific community.
Bourke, A.K. and van de Ven, P. and Gamble, M. and OConnor, R. and Murphy, K. and Bogan, E. and McQuade, E. and Finucane, P. and \OLaighin, G. and Nelson, J. (2010) Assessment of waist-worn tri-axial accelerometer based fall-detection algorithms using continuous unsupervised activities Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE , pp.2782-2785 [Details] ...
RESULTS: In total, 789 women were randomised (n = 394 PA, n = 395 control). Four were excluded post randomisation (two had been enrolled twice in sequential pregnancies and two were ineligible and randomised erroneously). The intention-to-treat analysis comprised 785 participants (n = 392 PA, n = 393 control). There was no significant difference in the rate of abstinence at the end of pregnancy between the PA group (7.7%) and the control group (6.4%) [odds ratio for PA group abstinence 1.21, 95% confidence interval (CI) 0.70 to 2.10]. For the PA group compared with the control group, there was a 33% (95% CI 14% to 56%), 28% (95% CI 7% to 52%) and 36% (95% CI 12% to 65%) significantly greater increase in self-reported minutes of moderate- and vigorous-intensity PA from baseline to 1 week, 4 weeks and 6 weeks respectively. Accelerometer data showed that there was no significant difference in PA levels between the groups. There were no significant differences between the groups for change in ...
I am a Digital Health scientist focusing on transforming disease monitoring and assessment using wearable sensors and mobile technology. My main area of expertise is related to data collection and analysis for objectively measured physical activity, sleep, circadian rhythmicity, and other human behavior (e.g. nocturnal scratch) using actigraphy, accelerometry, etc. I develop novel statistical/machine learning methodologies and software, as well as collaborate on scientific projects with subject matter expertise.
Indeed, the gizmo above is meant to be used as a gas pedal. [Grant Skinner] came up with the idea to control slot cars using an Android phone as a gas pedal. He coded the software for the handset and a computer using Adobe AIR. Once connected, the computer is sent the accelerometer data from the phone, relaying the speed control to the slot car track with the aid of a Phidgets motor controller. See it go after the break.. Weve seen the Phidgets board used in several projects like the augmented vending machine and the plotter white board. What we havent seen is hacks that make use of AIR, a framework we looked at two years ago. If youve got hacks that make use of AIR we want to hear about them.. ...
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Structures and architectures for gyroscopes, accelerometers, micro strain gauges for direct application to rigid structures e.g., steel, and levitated MEMS ...
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The idiopathic inflammatory myopathies (IIMs) are a group of rare conditions characterised by muscle inflammation (myositis). Accurate disease activity assessment is vital in both clinical and research settings, however, current available methods lack ability to quantify associated variation of physical activity, an important consequence of myositis. This study aims to review studies that have collected accelerometer-derived physical activity data in IIM populations, and to investigate if these studies identified associations between physical and myositis disease activity. A narrative review was conducted to identify original articles that have collected accelerometer-derived physical activity data in IIM populations. The following databases were searched from February 2000 until February 2019: Medline via PubMed, Embase via OVID and Scopus. Of the 297 publications screened, eight studies describing accelerometer use in 181 IIM cases were identified. Seven out of the eight studies investigated juvenile
Human movement analysis is a field of wide interest since it enables the assessment of a large variety of variables related to quality of life. Human movement can be accurately evaluated through Inertial Measurement Units (IMU), which are wearable and comfortable devices with long battery life. The IMUs movement signals might be, on the one hand, stored in a digital support, in which an analysis is performed a posteriori. On the other hand, the signal analysis might take place in the same IMU at the same time as the signal acquisition through online classifiers. The new sensor system presented in this paper is designed for both collecting movement signals and analyzing them in real-time. This system is a flexible platform useful for collecting data via a triaxial accelerometer, a gyroscope and a magnetometer, with the possibility to incorporate other information sources in real-time. A µSD card can store all inertial data and a Bluetooth module is able to send information to other external devices
The Inertial Labs IMU-P is a new generation of compact size (39 x 45 x 22 mm), low weight (70 gram) and high performance Inertial Measurement Units (IMU).
We tagged 82 lactating northern fur seals (Callorhinus ursinus) with tri-axial accelerometers and magnetometers on two eastern Bering Sea islands (Bogoslof and St. Paul) with contrasting population trajectories. Using depth data, accelerometer data and spectral analysis we classified time spent diving (30%), resting (~7%), shaking and grooming their pelage (9%), swimming in the prone position (~10%) and two types of previously undocumented rolling behavior (29%), with the remaining time (~15%) unspecified. The reason for the extensive rolling behavior is not known. We ground-truthed the accelerometry signals for shaking and grooming and rolling behaviors-and identified the acceleration signal for porpoising-by filming tagged northern fur seals in captivity. Speeds from GPS interpolated data indicated that animals traveled fastest while in the prone position, suggesting that this behavior is indicative of destination-based swimming. Very little difference was found in the percentages of time spent in the
Those were some gestures that I thought were useful to use - due to lack of imagination for short gestures. If anyone can think to some short gestures, please tell me how these short gestures should look like, and Ill create them. Were not constraint to use those gestures, not at all. Paul On Mon, Aug 11, 2008 at 2:53 PM, Ross Woodruff ,rossw1991 at googlemail.com,wrote: , Dont have my freerunner yet but that really is a great bit of work, keep , it up, can see this being really useful, only criticism some of the , gestures seems to be a little, well, over the top, I mean, if I was on , the bus and I started doing the Z shape for example people would think , what I was upto, do the gestures have to the this exagerated or was that , just for the demo so people could clearly see what you were doing? , , Paul-Valentin Borza wrote: , , Hi, , , , , As Google Summer of Code 2008 is almost at its end, heres a video , , showing what you should expect out of the accelerometer-based gestures , , ...
TY - JOUR. T1 - Objectively measured physical activity and sedentary behavior and quality of life indicators in survivors of breast cancer. AU - Phillips, Siobhan M.. AU - Awick, Elizabeth A.. AU - Conroy, David E.. AU - Pellegrini, Christine A.. AU - Mailey, Emily L.. AU - McAuley, Edward. PY - 2015/11/15. Y1 - 2015/11/15. N2 - BACKGROUND The primary purpose of the current study was to determine prospective associations of accelerometer-assessed physical activity intensity and sedentary time with health-related quality of life (HRQOL) indicators among survivors of breast cancer. METHODS A total of 358 survivors of breast cancer wore an accelerometer for 7 days at baseline to assess different activity intensities (light, lifestyle, and moderate to vigorous) and sedentary behavior. Six months later, survivors completed online questionnaires that assessed HRQOL indicators (disease-specific HRQOL, fatigue, depression, and anxiety) and relevant covariates. Relationships between activity and ...
TY - JOUR. T1 - Factors associated with change in objectively measured physical activity in older people. T2 - data from the Physical Activity Cohort Scotland study. AU - Clarke, Clare. AU - Sniehotta, Falko F.. AU - Vadiveloo, Thenmalar. AU - Argo, Ishbel. AU - Donnan, Peter. AU - McMurdo, Marion. AU - Witham, Miles. N1 - Funding: Chief Scientist Office, Scottish Government. Grants CZH/4/518 and CZG/2/569. PY - 2017/8/14. Y1 - 2017/8/14. N2 - Background: Cross-sectional relationships between physical activity and health have been explored extensively, but less is known about how physical activity changes with time in older people. The aim of this study was to assess baseline predictors of how objectively measured physical activity changes with time in older people.Methods: Longitudinal cohort study using data from the Physical Activity Cohort Scotland. A sample of community-dwelling older people aged 65 and over were recruited in 2009-2011, then followed up 2-3 years later. Physical activity ...
The aim of this study was to investigate the effect of a 10-week family focused Active Play intervention on childrens weekday and weekend day sedentary time and total physical activity. Secondary objectives were to investigate the influence of specific confounding variables on childrens weekday and weekend day sedentary time and total physical activity.. Compared with an age-matched comparison group, a family focused intervention delivered in childrens centres located in areas of high deprivation resulted in a positive significant intervention effect on childrens sedentary time and total physical activity assessed using accelerometry for weekday and weekend day. The presence of a significant intervention effect on childrens sedentary time and physical activity are similar to the findings from other empirical family focused studies, which have demonstrated significant increases in physical activity levels [65-67]. Furthermore these results suggest that children in the intervention group ...
Contents of the 15 Chapter for This High Performance Inertial Sensors Market Study:-. Chapter 1: to describe Global High Performance Inertial Sensors Market Introduction, product scope, market overview, market opportunities, market risk, market driving force;. Chapter 2: to analyze the top manufacturers of Global High Performance Inertial Sensors Market, with sales, revenue, and price of Global High Performance Inertial Sensors Market, in 2016 and 2017;. Chapter 3: to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;. Chapter 4: to show the Global High Performance Inertial Sensors market by regions, with sales, revenue and market share of Global High Performance Inertial Sensors Market, for each region, from 2012 to 2017;. Chapter 5, 6, 7, 8 and 9: to analyze the key regions, with sales, revenue and market share by key countries in these regions;. Chapter 10 and 11: to show the market by type and application, with sales market ...
There is limited evidence on the prospective association of time spent in activity intensity (sedentary (SED), moderate (MPA) or vigorous (VPA) physical activity) and dietary intake with adiposity indicators in young people. This study aimed to assess associations between (1) baseline objectively measured activity intensity, dietary energy density (DED) and 4-year change in adiposity and (2) 4-year change in activity intensity/DED and adiposity at follow-up. We conducted cohort analyses including 367 participants (10 years at baseline, 14 years at follow-up) with valid data for objectively measured activity (Actigraph), DED (4-d food diary), anthropometry (waist circumference (WC), %body fat (%BF), fat mass index (FMI), weight status) and covariates. Linear and logistic regression models were fit, including adjustment for DED and moderate-to-vigorous physical activity. Results showed that baseline DED was associated with change in WC (β for 1kJ/g difference: 0·71; 95% CI 0·26, 1·17), ...
And finally, a really cool study by Watson (3) that analyzed hand motion patterns using an inertial measurement unit. The author looked at 14 surgical attendings and 10 first- and second-year surgical residents. They were asked to do a simulated surgical procedure while wearing an inertial measurement unit on their dominant hand. They used the pattern of movements to train a classification algorithm with expert and novice patterns. The classification algorithm (which is similar to an artificial neural network) is good at identifying patterns. In this case, when the authors gave the classification algorithm blinded hand motion patterns, it did a pretty good job of classifying them as expert or novice. Its accuracy was 83%, with a sensitivity of 86% and specificity of 80%. The classification algorithm was able to reliably classify surgical hand motion patterns as expert or novice. This could be used in the future to make an objective assessment of procedural or surgical proficiency ...
Accelerometers are used in a variety of applications ranging from navigation systems to stand-alone tests. In each application, the accuracy of the accelerometer is crucial. There are various calibration techniques that range in precision, yet each apparatus devised to calibrate the accelerometer is quite complex. A calibration method of less complexity is desired to calibrate stand-alone accelerometers that require moderate accuracy. One stand-alone accelerometer, the X16-1D, was used to investigate calibration techniques. Six calibration techniques were investigated to determine an efficient method to calibrate a stand-alone accelerometer. Each method provided a different acceleration component that was modeled by theoretical equations. For all six methods, test variables were established to determine the accelerometers ability to track acceleration. Each test was compared to the theoretical acceleration model to determine the effectiveness of the calibration technique. The overall errors of each
TY - JOUR. T1 - Relationship between Sedentary Time, Physical Activity and Multiple Lifestyle Factors in Children. AU - Sheldrick, Michael. AU - TYLER, RICHARD. AU - Mackintosh, Kelly A. AU - Stratton, Gareth. PY - 2018. Y1 - 2018. N2 - An improved understanding of relationships between moderate-to-vigorous physical activity (MVPA), screen-time and lifestyle factors is imperative for developing interventions, yet few studies have explored such relationships simultaneously. Therefore, the studys aim was to examine the relationship between sufficient MVPA (≥60 min·day-1) and excessive screen-time (≥2 h·day-1) with lifestyle factors in children. In total, 756 children (10.4±0.6 years) completed a questionnaire, which assessed sleep duration, MVPA, homework/reading, screen-time and diet, and a 20 metre multi-stage shuttle run test to assess cardiorespiratory fitness (CRF). Body mass and stature were measured and used to calculate BMI (body mass index) for age/sex z-scores. Fruit and ...
Older people are at greater risk of traffic accidents, partially because of age-related declines in visual function, including reduced useful field of view (UFOV). However, lifestyle factors which cause age-related decline in UFOV remain poorly understood. We conducted a study to investigate whether physical activity and appetite status were related to UFOV test performance in healthy older adults. Thirty community-dwelling older people (age 68.6 ± 3.1 years, 15 females) were enrolled in this study. Each participant completed the Council on Nutrition appetite questionnaire (CNAQ) and a UFOV test. They then wore a tri-axial accelerometer (Active style Pro HJA-350IT) for 3-6 consecutive days to objectively measure their PA in free-living conditions. Longer time spent in vigorous physical activity was significantly associated with better UFOV test performance when adjusted for age and accelerometer wear time (non-locomotive: r = −0.435, locomotive: r = −0.449; n = 25). In addition, male, but not
A portable distance tracking device calculates the distance to a flag from a first position on a hole of a golf course. An initialization means initializes the device at the start of play. The device includes two rotational accelerometers, to measure acceleration along pitch and roll axes, and a translational accelerometer, to measure acceleration along a surge axis. A microprocessor, including an A-D converter, (i) converts the accelerations to digital data and (ii) integrates the data twice, over time, to determine distance traveled on the hole. The microprocessor further compensates the data for forces due to at least one of gravity, centripetal acceleration, and a rotation of earth, and thereafter determines the distance to the flag as a function of the distance traveled. A keypad input device provides for selecting the initialization and for selecting the hole in play. A memory element stores a digital representation of the hole; and a display unit displays the distance to the flag.
Janney, C., Richardson, C., Hollerman, R., Glasheen, C., Strath, S., Conroy, M., & Kriska, A. (2008). Gender, mental health service use and objectively measured physical activity: Data from the National Health and Nutrition Examination Survey (NHANES 2003-2004). Mental Health and Physical Activity, 1(1), 9 - 16 ...
With the increase in the number and computational power of commercial mobile devices like smart phones and tablet computers, augmented reality applications are gaining more and more volume. In order to augment virtual objects effectively in real scenes, pose of the camera should be estimated with high precision and speed. Today, most of the mobile devices feature cameras and inertial measurement units which carry information on change in position and attitude of the camera. In this thesis, utilization of inertial sensors on mobile devices in aiding visual pose estimation is studied. Error characteristics of the inertial sensors on the utilized mobile device are analyzed. Gyroscope readings are utilized for aiding 2D feature tracking while accelerometer readings are used to help create a sparse 3D map of features later to be used for visual pose estimation. Metric velocity estimation is formulated using inertial readings and observations of a single 2D feature. Detailed formulations of ...
In order to evaluate potential risks of whole-body vibration (WBV) training, it is important to understand the transfer of vibrations from the WBV platform to the muscles. Therefore, the purpose of this study was to quantify the transmissibility of vibrations from the WBV platform to the triceps surae and quadriceps soft tissue compartments. Sixteen healthy, male participants were exposed to side-altering WBV at 2.5mm amplitude and frequencies of 10, 17 and 28Hz. Acceleration signals were measured at the platform and at the soft tissue compartments using tri-axial accelerometers. Transmissibility of peak acceleration and peak amplitude for both tested soft tissue compartments was high at 10Hz (2.1-2.3), moderate at 17Hz (1.1-1.9) and low at 28Hz (0.5-1.2). The average peak acceleration was 125.4ms(-2) and 46.5ms(-2) for the triceps surae and quadriceps at 28Hz, respectively. The muscles vibration frequency was equal to the input frequency of the WBV platform (p,0.05). The transfer of vibrations ...
Collings, P., Wijndaele, K. L., Corder, K. L., Westgate, K. L., Ridgway, C., Sharp, S. J., Atkin, A. J., et al. (2015). Objectively measured physical activity and longitudinal changes in adolescent body fatness: an observational cohort study. Pediatric Obesity https://doi.org/10.1111/ijpo.12031 ...
Compression mode and shear mode refer to internal construction techniques of piezoelectric accelerometers. These two techniques comprise the majority of how piezoelectric accelerometers are made, although there are other techniques as well (for example, bimorph benders). It is impossible to tell whether an accelerometer is compression or shear mode by examining the outside of the sensor, so the manufacturer will typically state this on the product data sheet. The exception to this is ring-type accelerometers, featuring a mounting screw through the center of the sensor. These are almost always shear mode accelerometers ...
Thanks, didnt know that. Ill definitely try it out. Thanks, Paul On Thu, Aug 14, 2008 at 7:55 PM, Harald Koenig , koenig at tat.physik.uni-tuebingen.de, wrote: , Hi Paul, , , On Aug 14, Paul-Valentin Borza wrote: , , , Theres a quick way to install it, and a more detailed way... Read , , http://wiki.openmoko.org/wiki/Gestures , , really nice work! , a quick hint how to start from ssh login, just use , , DISPLAY=:0 /etc/init.d/gesl start , , instead of , , /etc/init.d/gesl start , , , Harald , -- , I hope to die ___ _____ , before I *have* to use Microsoft Word., 0--,, /OOOOOOO\ , Donald E. Knuth, 02-Oct-2001 in Tuebingen. ,_/ / /OOOOOOOOOOO\ , \ \/OOOOOOOOOOOOOOO\ , \ OOOOOOOOOOOOOOOOO,// , \/\/\/\/\/\/\/\/\/ , Harald Koenig // / \\ \ , koenig at tat.physik.uni-tuebingen.de ^^^^^ ^^^^^ , -- http://www.borza.ro -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.openmoko.org/pipermail/community/attachments/20080814/c5cd53b1/attachment.htm ...
HD-FIT is a randomized controlled clinical trial that will analyze the impact of high volume online HDF in comparison to high-flux HD on measured physical activity (number of steps measured in the dialysis day) as a primary endpoint. The analysis of additional accelerometer data, HRQOL and time to recover from a dialysis session will be used as other outcomes. The study will also capture safety data, based on intradialytic events, hospitalization and mortality. Biochemical (according to the local requirements) and drug prescription data will be monitored for pharma-economic analysis. Serum samples will be collected for future analysis of additional biomarkers.. In summary, patients will go through a 4 week run in period on high flux HD. After this, patients will be randomized to the intervention of high volume online HDF for 6 months, or will continue on high flux HD; both groups will be observed for a 12 month follow up period. Patients will be evaluated for physical activity, HRQOL, ...
Background We have a limited understanding of the effects of age-related macular degeneration (AMD) on physical activity (PA), and we have no prevalence estimates of the daily movement patterns among Americans with AMD. Therefore, we examined the association between AMD and PA and provided estimates of the daily movement patterns of Americans with AMD. Methods Data from the 2005-2006 National Health and Nutrition Examination Survey were used, including 1,656 adults (40-85 yrs). Retinal imaging was performed to classify individuals as no AMD, early AMD, or late AMD. Participants wore an ActiGraph 7164 accelerometer for 7 days to measure PA behavior. Results 93.2% of participants with late AMD were in the least desirable group (not sufficiently active and having a negative light intensity-sedentary behavior balance). After adjustments (including age), participants with late AMD, as compared to those with no AMD, engaged in 50% less moderate-to-vigorous physical activity (MVPA) (RR = 0.50; 95% CI: 0.28
A major motivation for Lie group observers is their application as sensor fusion algorithms for an inertial measurement unit which can be used to estimate the orientation of a rigid-body. In the first part of this thesis ...
Commercial systems utilizing data from inertial measurement units (IMUs) to analyse movement patterns have not yet been adapted to monitor daily training in cross-country (XC) skiing. The main purposes of this study are to investigate: (1) the feasibility and potential of a multi-sensor system consi.... ...
This work focuses on the multi-objective optimization of a compliant-mechanism accelerometer. The design objective is to maximize the sensitivity of the accelerometer in its sensing direction, while minimizing its sensitivity in all other directions. In addition, this work proposes a novel compliant hinge intended to reduce the stress concentration in compliant mechanisms. The paper starts with a brief description of the new compliant hinge, the Lamé-shaped hinge, followed by the formulation of the aposteriori multi-objective optimization of the compliant accelerometer. By using the normalized constrained method, an even distribution of the Pareto frontier is found. The paper also provides several optimum solutions on a Pareto plot, as well as the CAD model of the selected solution.. ...
(2014) Freene et al. Journal of Science and Medicine in Sport. Objectives: To compare self-reported physical activity recorded in physical activity diaries or the Active Australia Survey with objectively measured physical activity using accelerometry in sedentary middle-aged adults completing two...
Excel has a few built-in number formats such as $100.00 or ¥100,00. But what if you want to add another measurement unit to the number format, such as lbs, stone, kg, km/h, ft, acre or oz?. If you type 169 lbs in the cell, Excel will interpret it as text, and you wont be able to do any calculations. We need to find another way.. One way is to divide it into two cells:. ...
Researchers agree that regular moderate-to-vigorous intensity exercise (such as walking, running or cycling) can improve the immune system and reduce inflammation. One serious consequence of COVID-19 is that inflammation goes into overdrive and damages organs. We already know that being physically active lowers risk (by 40-50%) of catching the common cold and flu. Exercising also reduces the severity of the common cold and flu. These benefits are probably due to the immune system working better to fight off infection. However, there have also been concerns that intense exercise may be bad for the body. This is because it could suppress the immune system, putting people at greater risk of infection with viruses. Experts concluded that, for the general population, vigorous exercise for 150 minutes per week is not bad for the immune system. On the contrary, regular moderate-to-vigorous physical activity and structured exercise helps the immune system work well. For more vulnerable people (like ...
Just throwing this question out there for all you ...... Do you think that my decrease in wafer wear time could be from one of the things I drink on a daily basis? I mix cranberry/black cherry juice and water (1/3 juice, 2/3 water). I usually drink 4-6 bottles of it a day, depending on my activity, along with my other drinks throughout the day. I think I began drinking this juice mix about 6 months ago or so.... hmmmmmm maybe? I sure hope not - I love the stuff, and I mix it pretty weak, just for flavor. And, some nutritional value as well ...
You would not make a constant-acceleration assumption in this case. You would typically do that if you had no means of measuring the systems acceleration, but you say that it is observable for your case. The most obvious way to model this system would be using the state vector. $$ \mathbf{x_k} = \left [ \begin{array}{c}x_k \\ \dot{x}_k \\ \ddot{x}_k \end{array} \right ] = \left [ \begin{array}{c}x_k \\ v_k \\ a_k \end{array} \right ] $$. where $x_k$ is the position, $v_k$ is the velocity, and $a_k$ is the acceleration of the system at time instant $k$. Since you say that you can measure the position and acceleration of the system, the measurement vector $\mathbf{z_k}$ would be:. $$ \mathbf{z_k} = \mathbf{Hx_k} + \mathbf{v_k} $$. with. $$ \mathbf{H} = \left[ \begin{array}{cc} 1 && 0 && 0 \\ 0 && 0 && 1 \end{array} \right] $$. resulting in the measurement model:. $$ \mathbf{z_k} = \left[ \begin{array}{c} x_k \\ a_k \end{array} \right] + \mathbf{v_k} $$. where $\mathbf{v_k}$ is the (Gaussian) ...
Description:Note: if you need the document, please send us an e-mail !!The type of module: GY-9250Chip: MPU-92509 axes: 3-axis gyroscope + 3-axis accelerometer + 3-axis magnetic field sensorPower supply: 3-5v (internal low dropout regulator)Communication: standard IIC / SPI communication protocol16 bit AD data output o
And the bar is pretty low for what constitutes light physical activity, researchers say. It can mean sauntering through a mall window-shopping instead of ordering online, fishing along a riverbank, or ballroom dancing.. In other words, casting a spinner or spinning on the dance floor can help offset our sedentary ways.. The problem, the authors say, is that nearly half of Americans surveyed did not engage in a sufficient amount of moderate-to-vigorous physical activity (more than 150 minutes a week) and, in fact, spent more time in sedentary mode than even doing light physical activity.. Thats actually rather frightening, said Bradley Cardinal, co-director of the Sport and Exercise Psychology Program at Oregon State University and co-author on the study. About half of the people in this country are incredibly sedentary - basically, couch potatoes. And that can have some very negative effects on ones health.. Results of the study have been published online in the journal Preventive ...
To handle motion data by periodic sampling, the app calls a start method taking no arguments and periodically accesses the motion data held by a property for a given type of motion data. This approach is the recommended approach for apps such as games. Handling accelerometer data in a block introduces additional overhead, and most game apps are interested only the latest sample of motion data when they render a frame.. ...
Generate all necessary R/Rmd/shell files for data processing after running GGIR (v2.4.0) for accelerometer data. In part 1, all csv files in the GGIR output directory were read, transformed and then merged. In part 2, the GGIR output files were checked and summarized in one excel sheet. In part 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In part 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data. ...
Generate all necessary R/Rmd/shell files for data processing after running GGIR (v2.4.0) for accelerometer data. In part 1, all csv files in the GGIR output directory were read, transformed and then merged. In part 2, the GGIR output files were checked and summarized in one excel sheet. In part 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In part 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data. ...
Following publication of the original article [1], the authors reported an error in the author list. The study group has been listed with the authors in the pdf version. The correct presentation of the authors is shown below.
GUIRAO-GORIS, Josep Adolf; CABRERO-GARCIA, Julio; MORENO PINA, J. Patricia e MUNOZ-MENDOZA, Carmen Luz. Structured review of physical activity measurement with questionnaires and scales in older adults and the elderly. Gac Sanit [online]. 2009, vol.23, n.4, pp.334.e51-334.e67. ISSN 0213-9111.. Objective: To characterize the distinct questionnaires and scales used to measure physical activity, their conceptual frameworks, psychometric properties and application norms. Method: The review included original articles that used questionnaires or scales to assess physical activity in older adults or the elderly. The CINAHL and MEDLINE databases were consulted for the years 1993 to 2007. The studies selected had to provide information on the use, development and psychometric properties of the instruments. Instruments used in the population aged more than 45 years old were included. Articles that assessed physical activity by direct estimation, complex methods, or physical performance were excluded. ...
Rugged in design, the Models 3801A and 4801A are ready for steady state and transient measurement applications in harsh environments. Compact and hermetically sealed, the components integrate gas-damped MEMS sensing elements with a wide frequency response. Available in ranges from ±2g to ±2000g, the accelerometers are suitable for both low-level and high-end transient shock measurements. Internal over-range stops provide shock protection to over 10,000g, reportedly without affecting calibration. The Model 3801A provides a mV-output signal for shock pulse measurements while the Model 4801A delivers a signal-conditioned, amplified output for low level measurements. A custom ASIC in Model 4801A provides temperature compensation over a range from -55°C to 125°C. Both accelerometers install with a 10-32 stud mounting and a five-pin, side-mount connector. For more information, call MEASUREMENT SPECIALTIES INC., Hampton VA. (800) 745-8008.. ...
For every additional 30 min each day men spend in moderate-to-vigorous physical activity, their odds of developing erectile dysfunction dropped 43 per cent.
Give your child the wonder of a toy gyroscope just like the one you played with when you were young! The TEDCO gyroscope continues to fascinate young and old alike with its mysterious force that seems to defy gravity. An excellent tool to teach gyroscopic inertia, the gyroscope will provide hours of creative play. Come
DESCRIPTION The MPU-6050 is a serious little piece of motion processing tech! By combining a 3-axis gyroscope and a 3-axis accelerometer on the same silicon die together with an onboard Digital Motion Processor (DMP) capable of processing complex 9-axis MotionFusion algorithms, the MPU-6050 does away with the cross-axi
A two degree of freedom (2 DOF) accelerometer comprising two imbalanced sensing modules (i.e., bar modules having an unbalance) is provided such that two sensing modules are located in the plane to be measured. The two imbalanced sensing modules have force balance and are used to measure linear and angular accelerations in two degrees of freedom. A single modular design is used for both of the axes. Each of the two individual sensing modules has a housing containing a proof mass for each measured output and a support of the proof mass with the support optimized for the sensitive axis selected for sensor output and having high rigidity in all other axes of the support. Also provided is electrostatic servo force balance technology. A proportional-integral-derivative (PID) controller is used to obtain a closed loop bandwidth of 1 kHz and a steady state error of zero for full scale accelerations up to 75 gs and 1000 rad/sec2.
ST offers digital 3-axis MEMS accelerometer sensors, featuring up to ±400g acceleration full scale and from 1.62 to 3.6V supply voltage. Ideal for low-power, industrial and automotive applications.

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