Whitening of the electromyogram for improved classification accuracy in prosthesis control

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

Volumn , Issue , 2012, Pages 2627-2630

  Liu, Lukai ^a   Liu, Pu ^a   Clancy, Edward A ^a   Scheme, Erik ^b   Englehart, Kevin B ^b  

^a Worcester Polytechnic Institute   (United States)

^b UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ABSOLUTE VALUES; AUTO-REGRESSIVE; CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; COEFFICIENT OF VARIATION; CONTROL SCHEMES; ELECTROMYOGRAM; EMG AMPLITUDE ESTIMATIONS; EMG SIGNAL; MULTIPLE ELECTRODES; MYOELECTRIC PROSTHESIS; PERCENTAGE POINTS; PRE-PROCESSING STEP; PROSTHESIS CONTROL; TIME DOMAIN;

ELECTRODES; PATTERN RECOGNITION;

ELECTROMYOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; DISABLED PERSON; ELECTRODE; ELECTROMYOGRAPHY; HUMAN; METHODOLOGY;

ALGORITHMS; AMPUTEES; ELECTRODES; ELECTROMYOGRAPHY; HUMANS; PATTERN RECOGNITION, AUTOMATED;

EID: 84882951238     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346503     Document Type: Conference Paper

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