A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations
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Association of day length and weather conditions with physical activity levels in older community dwelling people.Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sampleValidity of activity monitors in health and chronic disease: a systematic reviewA method to estimate free-living active and sedentary behavior from an accelerometer.Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study.Comparative evaluation of features and techniques for identifying activity type and estimating energy cost from accelerometer data.Comparison of physical activity measures using mobile phone-based CalFit and ActigraphMeasurement Methods for Physical Activity and Energy Expenditure: a ReviewDesign and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument.Physical activity, sedentary time and gain in overall and central body fat: 7-year follow-up of the ProActive trial cohortBipart: Learning Block Structure for Activity DetectionEstimating energy expenditure using heat flux measured at a single body site.A comparison of three accelerometry-based devices for estimating energy expenditure in adults and children with cerebral palsy.Physical activity and modernization among Bolivian Amerindians.Accelerometer adherence and performance in a cohort study of US Hispanic adults.Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settingsCalibrating physical activity intensity for hip-worn accelerometry in women age 60 to 91 years: The Women's Health Initiative OPACH Calibration Study.Validity of two wearable monitors to estimate breaks from sedentary timeEffect of BMI on prediction of accelerometry-based energy expenditure in youth.Evaluation of a questionnaire to assess sedentary and active behaviors in the Southern Community Cohort StudyAnkle Accelerometry for Assessing Physical Activity Among Adolescent Girls: Threshold Determination, Validity, Reliability, and FeasibilityNgram time series model to predict activity type and energy cost from wrist, hip and ankle accelerometers: implications of age.Predicting Adult Pulmonary Ventilation Volume and Wearing Compliance by On-Board Accelerometry During Personal Level Exposure Assessments.A comparison of energy expenditure estimation of several physical activity monitors.SenseWearMini and Actigraph GT3X Accelerometer Classification of Observed Sedentary and Light-Intensity Physical Activities in a Laboratory Setting.Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges.Childhood obesity and walking: guidelines and challenges.Clinical use of objective measures of physical activity.A guide to assessing physical activity using accelerometry in cancer patients.Accelerometer-based measures in physical activity surveillance: current practices and issues.Changes in bicycling over time associated with a new bike lane: relations with kilocalories energy expenditure and body mass index.Physical Activity Assessment with the ActiGraph GT3X and Doubly Labeled Water.Validation of the Fitbit One, Garmin Vivofit and Jawbone UP activity tracker in estimation of energy expenditure during treadmill walking and running.Optical wireless connected objects for healthcare.Invited commentary: meta-physical activity and the search for the truth.Accelerometer Derived Activity Counts and Oxygen Consumption between Young and Older Individuals.Validation of the Godin-Shephard Leisure-Time Physical Activity Questionnaire classification coding system using accelerometer assessment among breast cancer survivors.Comparison of steps and energy expenditure assessment in adults of Fitbit Tracker and Ultra to the Actical and indirect calorimetry.Physical activity outside of structured therapy during inpatient spinal cord injury rehabilitationImpact of anatomical placement of an accelerometer on prediction of physical activity energy expenditure in lower-limb amputees.
P2860
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P2860
A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
A comprehensive evaluation of ...... e and MET prediction equations
@ast
A comprehensive evaluation of ...... e and MET prediction equations
@en
type
label
A comprehensive evaluation of ...... e and MET prediction equations
@ast
A comprehensive evaluation of ...... e and MET prediction equations
@en
prefLabel
A comprehensive evaluation of ...... e and MET prediction equations
@ast
A comprehensive evaluation of ...... e and MET prediction equations
@en
P2093
P2860
P1476
A comprehensive evaluation of ...... e and MET prediction equations
@en
P2093
John W Staudenmeyer
Kate Lyden
Patty S Freedson
Sarah L Kozey
P2860
P2888
P304
P356
10.1007/S00421-010-1639-8
P577
2010-09-15T00:00:00Z