Clustering physical activity phenotypes using the ATLAS index on accelerometric data from an epidemiologic cohort study

Studies in Health Technology and Informatics

Volumn 205, Issue , 2014, Pages 763-767

  Marschollek, Michael ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

Accelerometry; cohort studies; pattern recognition; physical activity

Indexed keywords

ACCELEROMETERS;

ACCELEROMETER DATA; ACCELEROMETRY; ACTIVITY PATTERNS; COHORT STUDIES; PHYSICAL ACTIVITY; X-MEANS;

PATTERN RECOGNITION;

ACCELEROMETRY; ACTIMETRY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CLUSTER ANALYSIS; COHORT ANALYSIS; HUMAN; MOTOR ACTIVITY; PHENOTYPE; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ACCELEROMETRY; ACTIGRAPHY; ALGORITHMS; CLUSTER ANALYSIS; COHORT STUDIES; HUMANS; MOTOR ACTIVITY; PATTERN RECOGNITION, AUTOMATED; PHENOTYPE;

EID: 84929506510     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-432-9-763     Document Type: Conference Paper

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