Long term stability of surface EMG pattern classification for prosthetic control

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

Volumn , Issue , 2013, Pages 3622-3625

  Amsuss, Sebastian ^a   Paredes, Liliana P ^b   Rudigkeit, Nina ^c   Graimann, Bernhard ^b   Herrmann, Michael J ^c   Farina, Dario ^a  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

^b Otto Bock HealthCare GmbH   (Germany)

^c MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION APPROACH; CLASSIFICATION PERFORMANCE; COMMERCIAL VIABILITY; LONG TERM STABILITY; LONG-TERM BEHAVIOR; PROSTHETIC CONTROLS; SURFACE ELECTROMYOGRAPHY; UPPER LIMB PROSTHESIS;

PROSTHETICS;

MUSCLE;

ADULT; AUTOMATED PATTERN RECOGNITION; ELECTROMYOGRAPHY; FEMALE; FOREARM; HUMAN; LIMB PROSTHESIS; MALE; MUSCLE CONTRACTION; PHYSIOLOGY; PROCEDURES; PROSTHESIS; REPRODUCIBILITY; SIGNAL PROCESSING; TIME;

ADULT; ARTIFICIAL LIMBS; ELECTROMYOGRAPHY; FEMALE; FOREARM; HUMANS; MALE; MUSCLE CONTRACTION; PATTERN RECOGNITION, AUTOMATED; PROSTHESIS DESIGN; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 84886464761     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610327     Document Type: Conference Paper

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