Decoding of individuated finger movements using surface electromyography

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 5, 2009, Pages 1427-1434

  Tenore, Francesco V G ^a,b   Ramos, Ander ^c,d   Fahmy, Amir ^a,e   Acharya, Soumyadipta ^f   Etienne Cummings, Ralph ^a   Thakor, Nitish V ^f  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

^c TECNALIA RESEARCH AND INNOVATION   (Spain)

^d UNIVERSITY OF TÜBINGEN   (Germany)

^e Capital One Financial   (United States)

^f Johns Hopkins University   (United States)

Author keywords

Electromyography (EMG); Myoelectric signals; Neural networks; Transradial amputee

Indexed keywords

DEGREES OF FREEDOM; DESIGN AND DEVELOPMENT; FINGER MOVEMENTS; MULTIFINGERED HANDS; MYOELECTRIC SIGNALS; PROSTHETIC HANDS; REAL-TIME CONTROL STRATEGY; STATISTICALLY SIGNIFICANT DIFFERENCE; SURFACE ELECTROMYOGRAPHY; TRANSRADIAL AMPUTEE; UPPER LIMBS;

DECODING; ELECTROMYOGRAPHY; MYOELECTRICALLY CONTROLLED PROSTHETICS; NEURAL NETWORKS; REAL TIME CONTROL; STRATEGIC PLANNING;

ARTIFICIAL LIMBS;

ACCURACY; ADULT; ARM AMPUTATION; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; ELECTROMYOGRAPHY; FEMALE; FINGER; HUMAN; LIMB PROSTHESIS; MALE; MYOELECTRICITY;

ALGORITHMS; AMPUTEES; ELECTROMYOGRAPHY; FEMALE; FINGERS; FOREARM; HUMANS; MALE; MOVEMENT; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS, NONPARAMETRIC;

EID: 67649182962     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.2005485     Document Type: Article

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