EEG-based classification for elbow versus shoulder torque intentions involving stroke subjects

Computers in Biology and Medicine

Volumn 39, Issue 5, 2009, Pages 443-452

  Zhou, Jie ^a   Yao, Jun ^b   Deng, Jie ^c   Dewald, Julius P A ^b,c,d  

^a NORTHERN ILLINOIS UNIVERSITY   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c Northwestern University   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Brain computer interface; Classification; Classification and regression tree; Elbow flexion; Electroencephalograph (EEG); Shoulder abduction; Stroke; Support vector machine; Time frequency synthesized spatial pattern algorithm

Indexed keywords

BRAIN-COMPUTER INTERFACE; CLASSIFICATION; CLASSIFICATION AND REGRESSION TREE; ELBOW FLEXION; ELECTROENCEPHALOGRAPH (EEG); SHOULDER ABDUCTION; STROKE; SUPPORT-VECTOR MACHINE; TIME-FREQUENCY SYNTHESIZED SPATIAL PATTERN ALGORITHM;

ALGORITHMS; CLASSIFIERS; ELECTRIC NETWORK TOPOLOGY; ELECTROENCEPHALOGRAPHY; LEARNING SYSTEMS; OPTICAL SENSORS; REGRESSION ANALYSIS; SHOULDERS (ROAD);

INTERFACES (COMPUTER);

ABDUCTION; ACCURACY; ADULT; ARTICLE; BEHAVIOR; CLASSIFICATION; CLINICAL ARTICLE; COMPUTER INTERFACE; CONTROLLED STUDY; ELBOW FLEXION; ELECTROENCEPHALOGRAM; FEMALE; HUMAN; INFORMATION PROCESSING; ISOMETRICS; MALE; MEDICAL LITERATURE; MOTOR CORTEX; PRIORITY JOURNAL; RELIABILITY; SHOULDER; STROKE; SUPPORT VECTOR MACHINE; TORQUE;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; ELBOW; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MIDDLE AGED; MOTOR CORTEX; MOVEMENT; MOVEMENT DISORDERS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SHOULDER; SIGNAL PROCESSING, COMPUTER-ASSISTED; STROKE; TORQUE;

EID: 67349113149     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2009.02.004     Document Type: Article

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