Artificial neural networks to predict activity type and energy expenditure in youth

Medicine and Science in Sports and Exercise

Volumn 44, Issue 9, 2012, Pages 1801-1809

  Trost, Stewart G ^a   Wong, Weng Keen ^b   Pfeiffer, Karen A ^c   Zheng, Yonglei ^b  

^a OREGON STATE UNIVERSITY   (United States)

^b Oregon State University   (United States)

^c MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

adolescents; children; Objective assessment; pattern recognition; validity

Indexed keywords

ADOLESCENT; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALORIMETRY; CHILD; DAILY LIFE ACTIVITY; ENERGY METABOLISM; EXERCISE; FEMALE; HUMAN; MALE; METHODOLOGY; MOTOR ACTIVITY; PHYSIOLOGY; PRESCHOOL CHILD; REGRESSION ANALYSIS; SPORT;

ACTIVITIES OF DAILY LIVING; ADOLESCENT; CALORIMETRY, INDIRECT; CHILD; CHILD, PRESCHOOL; ENERGY METABOLISM; EXERCISE; FEMALE; HUMANS; MALE; MONITORING, AMBULATORY; MOTOR ACTIVITY; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; SPORTS;

EID: 84865488623     PISSN: 01959131     EISSN: 15300315     Source Type: Journal    
DOI: 10.1249/MSS.0b013e318258ac11     Document Type: Article

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