Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 22, Issue 2, 2014, Pages 269-279

  Hahne, J M ^a   Biessmann F ^a,b   Jiang, N ^c   Rehbaum, H ^c   Farina, D ^c   Meinecke, F C ^a   Muller, K R ^a,b,d   Parra, L C ^e  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b Korea University   (South Korea)

^c UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

^d Bernstein Center for Neurotechnology Berlin   (Germany)

^e City University of New York   (United States)

Author keywords

Amputee; electromyography (EMG); hand prostheses; regression; Simultaneous myoelectric control

Indexed keywords

ELECTROMYOGRAPHY; REGRESSION ANALYSIS;

AMPUTEE; COMPUTATIONAL COSTS; HAND PROSTHESIS; KERNEL RIDGE REGRESSION (KRR); MYOELECTRIC CONTROL; NONLINEAR REGRESSION TECHNIQUE; REGRESSION; STATISTICAL LEARNING METHODS;

PROSTHETICS;

ADULT; ALGORITHM; ANALYSIS OF VARIANCE; ARM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; ELECTROMYOGRAPHY; EQUIPMENT; EXPERT SYSTEM; FEMALE; FINGER; HAND; HISTOLOGY; HUMAN; LEARNING; MALE; MOVEMENT (PHYSIOLOGY); NONLINEAR SYSTEM; NORMAL DISTRIBUTION; PHYSIOLOGY; PROSTHESES AND ORTHOSES; PROSTHESIS; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL MODEL; WRIST; YOUNG ADULT;

ADULT; ALGORITHMS; ANALYSIS OF VARIANCE; CALIBRATION; ELECTROMYOGRAPHY; EXPERT SYSTEMS; FEMALE; FINGERS; HAND; HUMANS; LEARNING; LINEAR MODELS; MALE; MOVEMENT; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; NORMAL DISTRIBUTION; PROSTHESES AND IMPLANTS; PROSTHESIS DESIGN; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; UPPER EXTREMITY; WRIST; YOUNG ADULT;

EID: 84896463697     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2014.2305520     Document Type: Article

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