Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements

Journal of Applied Physiology

Volumn 119, Issue 4, 2015, Pages 396-403

  Staudenmayer, John ^a   He, Shai ^a   Hickey, Amanda ^a   Sasaki, Jeffer ^a   Freedson, Patty ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

ActiGraph; GT3X+; High frequency; Triaxial

Indexed keywords

ACTIMETRY; ADULT; BIOMECHANICS; BODY MASS; COMPARATIVE STUDY; DAILY LIFE ACTIVITY; DECISION TREE; DEVICE FAILURE; DEVICES; ENERGY METABOLISM; EVALUATION STUDY; FEMALE; HEALTH BEHAVIOR; HUMAN; INDIRECT CALORIMETRY; MACHINE LEARNING; MALE; MOTOR ACTIVITY; PHYSIOLOGY; REPRODUCIBILITY; SEDENTARY LIFESTYLE; SIGNAL PROCESSING; STATISTICAL MODEL; TIME FACTOR; WRIST; YOUNG ADULT;

ACTIGRAPHY; ACTIVITIES OF DAILY LIVING; ADULT; BIOMECHANICAL PHENOMENA; BODY MASS INDEX; CALORIMETRY, INDIRECT; DECISION TREES; ENERGY METABOLISM; EQUIPMENT FAILURE; FEMALE; HEALTH BEHAVIOR; HUMANS; LINEAR MODELS; MACHINE LEARNING; MALE; MODELS, STATISTICAL; MOTOR ACTIVITY; REPRODUCIBILITY OF RESULTS; SEDENTARY LIFESTYLE; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS; WRIST; YOUNG ADULT;

EID: 84939802010     PISSN: 87507587     EISSN: 15221601     Source Type: Journal    
DOI: 10.1152/japplphysiol.00026.2015     Document Type: Article

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