Hybrid feature subset selection for the quantitative assessment of skills of stroke patients in activity of daily living tasks

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 5699-5703

  Van Dijck, Gert ^b   Van Hulle, Marc M ^a,b   Van Vaerenbergh, Jo ^c  

^a IEEE   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c Centre for Multidisciplinary Approach and Technology vzw   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY OF DAILY LIVING (ADL) TASKS; MEASURING FORCES; QUANTITATIVE ASSESSMENT; STROKE PATIENTS;

BEHAVIORAL RESEARCH; BIOMECHANICS; FEATURE EXTRACTION; FUNCTIONAL ASSESSMENT; TIME SERIES ANALYSIS;

CARDIOLOGY;

ARTICLE; BAYES THEOREM; BIOMECHANICS; BRAIN; CEREBROVASCULAR ACCIDENT; DAILY LIFE ACTIVITY; FINGER; HAND STRENGTH; HUMAN; METHODOLOGY; MOTOR ACTIVITY; MOVEMENT (PHYSIOLOGY); PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; TIME; TORQUE;

ACTIVITIES OF DAILY LIVING; BAYES THEOREM; BRAIN; FINGERS; HAND STRENGTH; HUMANS; LIFTING; MODELS, STATISTICAL; MOTOR ACTIVITY; MOVEMENT; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; STROKE; TIME FACTORS; TORQUE;

EID: 34047142105     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.259284     Document Type: Conference Paper

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