Use of sEMG in identification of low level muscle activities: Features based on ICA and Fractal dimension

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 364-367

  Naik, Ganesh R ^a   Kumar, Dinesh K ^a   Arjunan, Sridhar ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP NEURAL NETWORKS; FINITE DIFFERENCE METHOD; FRACTALS; INDEPENDENT COMPONENT ANALYSIS; MUSCLE; NEURAL NETWORKS;

FEATURE VALUES; FOUR-CHANNEL; IDENTIFICATION ACCURACY; INDEPENDENT COMPONENTS; MUSCLE ACTIVITIES; SURFACE ELECTROMYOGRAM; TRAINING AND TESTING;

FRACTAL DIMENSION;

EID: 77951017464     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5332489     Document Type: Conference Paper

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