Using decision trees to measure activities in people with stroke

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 6337-6340

  Zhang, Ting ^a   Fulk, George D ^b   Tang, Wenlong ^a   Sazonov, Edward S ^a  

^a University of Alabama   (United States)

^b CLARKSON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; CLASSIFICATION ACCURACY; DECISION-TREE ALGORITHM; GROUP ACTIVITIES; GROUP MODELING; INDIVIDUAL MODELS; PHYSICAL ACTIVITY; STROKE PATIENTS;

NEURAL NETWORKS; STAIRS; WHEELS;

DECISION TREES;

ACCELEROMETRY; ACTIVITIES OF DAILY LIVING; ALGORITHMS; DECISION TREES; HUMANS; INSTRUMENTATION; METHODS; MONITORING, AMBULATORY; NEURAL NETWORKS (COMPUTER); POSTURE; SHOES; STROKE; WALKING;

ACCELEROMETRY; ACTIVITIES OF DAILY LIVING; ALGORITHMS; DECISION TREES; HUMANS; MONITORING, AMBULATORY; NEURAL NETWORKS (COMPUTER); POSTURE; SHOES; STROKE; WALKING;

EID: 84886519828     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6611003     Document Type: Conference Paper

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