Continuous myoelectric control for powered prostheses using hidden Markov models

IEEE Transactions on Biomedical Engineering

Volumn 52, Issue 1, 2005, Pages 121-124

  Chan, Adrian D C ^a   Englehart, Kevin B ^b  

^a CARLETON UNIVERSITY   (Canada)

^b UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Classification; Electromyography; Hidden Markov model; Myoelectric signals; Prostheses

Indexed keywords

COMPUTATIONAL COMPLEXITY; DECISION THEORY; MARKOV PROCESSES; MUSCLE;

DECISION STREAM; HIDDEN MARKOV MODEL (HMM); MUSCLE ACTIVATION; MYOELECTRIC SIGNALS;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

ARM MOVEMENT; ARTICLE; ELECTRODE; ELECTROMYOGRAPHY; FEMALE; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; LIMB MOVEMENT; MALE; MYOELECTRIC CONTROL; NORMAL HUMAN; PATTERN RECOGNITION; PROBABILITY; PROSTHESIS; STATISTICAL MODEL; TASK PERFORMANCE;

ACTION POTENTIALS; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; HUMANS; MARKOV CHAINS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; PROSTHESES AND IMPLANTS; PROSTHESIS DESIGN; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 11244296094     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2004.836492     Document Type: Article

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