Pattern recognition control outperforms conventional myoelectric control in upper limb patients with targeted muscle reinnervation

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

Volumn , Issue , 2013, Pages 1599-1602

  Hargrove, Levi J ^a   Lock, Blair A ^a   Simon, Ann M ^a  

^a REHABILITATION INSTITUTE OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMPLITUDE CONTROL; CLASSIFICATION ERRORS; DIRECT CONTROL; MULTIPLE-DEGREE-OF-FREEDOM; MYOELECTRIC CONTROL; PERFORMANCE TASKS; PROSTHETIC LIMBS; REAL TIME PERFORMANCE;

PATTERN RECOGNITION SYSTEMS; REAL TIME CONTROL;

MUSCLE;

ALGORITHM; AMPUTATION; ARM; AUTOMATED PATTERN RECOGNITION; ELECTRODE; ELECTROMYOGRAPHY; FEMALE; HUMAN; HUMERUS; INNERVATION; LIMB PROSTHESIS; MALE; MOTOR PERFORMANCE; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; PROCEDURES; PROSTHESIS; REPRODUCIBILITY; SIGNAL PROCESSING; SKELETAL MUSCLE;

ALGORITHMS; AMPUTATION; ARTIFICIAL LIMBS; ELECTRODES; ELECTROMYOGRAPHY; FEMALE; HUMANS; HUMERUS; MALE; MOTOR SKILLS; MOVEMENT; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; PROSTHESIS DESIGN; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; UPPER EXTREMITY;

EID: 84886460716     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6609821     Document Type: Conference Paper

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