The extraction of neural information from the surface EMG for the control of upper-limb prostheses: Emerging avenues and challenges

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 22, Issue 4, 2014, Pages 797-809

  Farina, Dario ^a   Jiang, Ning ^a   Rehbaum, Hubertus ^a   Holobar, Aleš ^b   Graimann, Bernhard ^c   Dietl, Hans ^c   Aszmann, Oskar C ^d  

^a UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

^b UNIVERSITY OF MARIBOR   (Slovenia)

^c Otto Bock HealthCare GmbH   (Germany)

^d MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

Motor unit; myoelectric control; neural drive to muscle; pattern recognition; regression

Indexed keywords

BRAIN; EDUCATION; ELECTROMYOGRAPHY; MUSCLE; NEURAL PROSTHESES; NEURONS; PATTERN RECOGNITION; PROSTHETICS; SIGNAL PROCESSING;

ACADEMIC ACHIEVEMENTS; FUNCTIONAL IMPROVEMENTS; MOTOR UNIT; MULTIPLE DEGREES OF FREEDOM; MYOELECTRIC CONTROL; REGRESSION; SUBSTANTIAL REDUCTION; SURFACE ELECTROMYOGRAM;

ADAPTIVE CONTROL SYSTEMS;

ACTION POTENTIAL; ARM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; ELECTROMYOGRAPHY; FEEDBACK SYSTEM; HUMAN; LIMB PROSTHESIS; MOVEMENT (PHYSIOLOGY); MUSCLE CONTRACTION; PHYSIOLOGY; SKELETAL MUSCLE; TRENDS;

ACTION POTENTIALS; ARM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL LIMBS; ELECTROMYOGRAPHY; FEEDBACK, PHYSIOLOGICAL; HUMANS; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED;

EID: 84904283386     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2014.2305111     Document Type: Article

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