Identifying waking time in 24-h accelerometry data in adults using an automated algorithm

Journal of Sports Sciences

Volumn 34, Issue 19, 2016, Pages 1867-1873

  van der Berg, Julianne D ^a   Willems, Paul J B ^a   van der Velde, Jeroen H P M ^a,b   Savelberg, Hans H C M ^a   Schaper, Nicolaas C ^a,b,c   Schram, Miranda T ^b,c   Sep, Simone J S ^b,c   Dagnelie, Pieter C ^a,c   Bosma, Hans ^a   Stehouwer, Coen D A ^b,c   Koster, Annemarie ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

^c MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Accelerometry; methodology; sedentary lifestyle; sleeping time; validation studies; waking time

Indexed keywords

ACCELEROMETRY; ADULT; CORRELATION COEFFICIENT; HUMAN; MAJOR CLINICAL STUDY; SELF REPORT; WAKEFULNESS; AGED; ALGORITHM; DAILY LIFE ACTIVITY; FEMALE; MALE; MIDDLE AGED; MOTOR ACTIVITY; PROCEDURES; REPRODUCIBILITY; SLEEP; VALIDATION STUDY;

ACCELEROMETRY; ACTIVITIES OF DAILY LIVING; AGED; ALGORITHMS; FEMALE; HUMANS; MALE; MIDDLE AGED; MOTOR ACTIVITY; REPRODUCIBILITY OF RESULTS; SELF REPORT; SLEEP; WAKEFULNESS;

EID: 84958057149     PISSN: 02640414     EISSN: 1466447X     Source Type: Journal    
DOI: 10.1080/02640414.2016.1140908     Document Type: Article

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