Correlation analysis of electromyogram signals for multiuser myoelectric interfaces

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 22, Issue 4, 2014, Pages 745-755

  Khushaba, Rami N ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Electromyogram (EMG); feature extraction; multiuser interface; myoelectric interface

Indexed keywords

ARTIFICIAL LIMBS; CALIBRATION; FEATURE EXTRACTION; METADATA;

CANONICAL CORRELATION ANALYSIS; CORRELATION ANALYSIS; ELECTROMYOGRAM; ELECTROMYOGRAM SIGNALS; FEATURE TRANSFORMATIONS; INDIVIDUAL DIFFERENCES; MOVEMENT RECOGNITION; MULTI-USER INTERFACES;

CLASSIFICATION (OF INFORMATION);

ACTION POTENTIAL; ADULT; ALGORITHM; AUTOMATED PATTERN RECOGNITION; ELECTROMYOGRAPHY; FEMALE; FINGER; HUMAN; MALE; MIDDLE AGED; MOVEMENT (PHYSIOLOGY); MUSCLE CONTRACTION; PHYSIOLOGY; PROCEDURES; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE; STATISTICAL ANALYSIS; STATISTICS; TASK PERFORMANCE;

ACTION POTENTIALS; ADULT; ALGORITHMS; DATA INTERPRETATION, STATISTICAL; ELECTROMYOGRAPHY; FEMALE; FINGERS; HUMANS; MALE; MIDDLE AGED; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICS AS TOPIC; TASK PERFORMANCE AND ANALYSIS;

EID: 84904290997     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2014.2304470     Document Type: Article

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