Subject-specific myoelectric pattern classification of functional hand movements for stroke survivors

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 19, Issue 5, 2011, Pages 558-566

  Lee, Sang Wook ^a,b   Wilson, Kristin M ^c   Lock, Blair A ^d   Kamper, Derek G ^d,e  

^a Catholic University of America   (United States)

^b NATIONAL REHABILITATION HOSPITAL   (United States)

^c University of Pittsburgh   (United States)

^d REHABILITATION INSTITUTE OF CHICAGO   (United States)

^e Illinois Institute of Technology   (United States)

Author keywords

Electromyography (EMG); functional task; hand; pattern classification; stroke

Indexed keywords

ASSISTIVE DEVICES; CLASSIFICATION ACCURACY; ELECTRODE PLACEMENT; EMG PATTERN CLASSIFICATION; EMG SIGNAL; FEATURE VECTORS; FUNCTIONAL TASK; HAND; HAND MOVEMENT; HAND MUSCLES; HEMIPARESIS; LINEAR DISCRIMINANT ANALYSIS; MEAN CLASSIFICATION; MISCLASSIFICATIONS; MUSCLE ACTIVATION; PATTERN CLASSIFICATION TECHNIQUES; PATTERN CLASSIFIER; SQUARED EUCLIDEAN DISTANCE; STROKE; SUBJECT-SPECIFIC; SURFACE ELECTRODE; TASK SELECTION;

DISCRIMINANT ANALYSIS; FACE RECOGNITION;

MUSCLE;

AGED; ALGORITHM; ARTICLE; CLASSIFICATION; ELECTRODE; ELECTROMYOGRAPHY; FEASIBILITY STUDY; FEMALE; HAND; HAND STRENGTH; HUMAN; MALE; MIDDLE AGED; MOVEMENT (PHYSIOLOGY); PARESIS; PATHOPHYSIOLOGY; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; STATISTICS; STROKE; SURVIVOR;

AGED; ALGORITHMS; ELECTRODES; ELECTROMYOGRAPHY; FEASIBILITY STUDIES; FEMALE; HAND; HAND STRENGTH; HUMANS; MALE; MIDDLE AGED; MOVEMENT; PARESIS; PSYCHOMOTOR PERFORMANCE; STROKE; SURVIVORS;

EID: 80054085641     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2010.2079334     Document Type: Article

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