Recognition of forearm muscle activity by continuous classification of multi-site mechanomyogram signals

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 3531-3534

  Alves, Natasha ^a,b   Chau, Tom ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b University of Toronto   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION STATE; CLASSIFICATION ACCURACY; CONTROL SIGNAL; FLEXOR CARPI RADIALIS; HAND MOTION; MACHINE INTERFACES; MECHANOMYOGRAM; MULTI-SITE; MUSCLE ACTIVITIES; PATTERN CLASSIFIER; PATTERN RECOGNITION METHOD; SIGNAL FEATURES; TIME-PERIODS;

ACCELEROMETERS; CLASSIFIERS; FEATURE EXTRACTION;

MUSCLE;

ADULT; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; ELECTROKYMOGRAPHY; ELECTROMYOGRAPHY; FEMALE; FOREARM; HUMAN; MALE; METHODOLOGY; MUSCLE CONTRACTION; PHYSIOLOGY; SKELETAL MUSCLE;

ADULT; ALGORITHMS; ELECTROMYOGRAPHY; FEMALE; FOREARM; HUMANS; KYMOGRAPHY; MALE; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED;

EID: 78650826016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627754     Document Type: Conference Paper

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