Physical activity classification utilizing SenseWear activity monitor in manual wheelchair users with spinal cord injury

Spinal Cord

Volumn 51, Issue 9, 2013, Pages 705-709

  Hiremath, S V ^a,b   Ding, D ^a,b,c   Farringdon, J ^d   Vyas, N ^d   Cooper, R A ^a,b,c  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c University of Pittsburgh   (United States)

^d BodyMedia Inc   (United States)

Author keywords

energy expenditure; machine learning; manual wheelchair users; multisensor activity monitor; physical activity; spinal cord injury

Indexed keywords

ACCURACY; ADULT; ANALYTICAL ERROR; ARM MOVEMENT; ARTICLE; BAYESIAN LEARNING; BIOSENSOR; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CLINICAL EVALUATION; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; DYNAMOMETER; ENERGY EXPENDITURE; ERGOMETRY; FEMALE; HUMAN; LABORATORY; MALE; MANUAL WHEELCHAIR; MANUAL WHEELCHAIR USER; MULTIVARIATE ANALYSIS; PARAPLEGIA; PATIENT MONITOR; PHYSICAL ACTIVITY; PREDICTION; PRIORITY JOURNAL; QUADRATIC DISCRIMINANT ANALYSIS; QUADRIPLEGIA; SENSEWEAR ACTIVITY MONITOR; SPINAL CORD INJURY; UNIVERSITY;

ADULT; ALGORITHMS; ARM; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; ENERGY METABOLISM; ERGOMETRY; FEMALE; HUMANS; MALE; MONITORING, AMBULATORY; MOTOR ACTIVITY; PARAPLEGIA; PREDICTIVE VALUE OF TESTS; QUADRIPLEGIA; REPRODUCIBILITY OF RESULTS; SPINAL CORD INJURIES; WHEELCHAIRS;

EID: 84884144120     PISSN: 13624393     EISSN: 14765624     Source Type: Journal    
DOI: 10.1038/sc.2013.39     Document Type: Article

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