Using EMG for real-time prediction of joint angles to control a prosthetic hand equipped with a sensory feedback system

Journal of Medical and Biological Engineering

Volumn 30, Issue 6, 2010, Pages 399-406

  Antfolk, Christian ^a   Cipriani, Christian ^b   Controzzi, Marco ^b   Carrozza, Maria Chiara ^b   Lundborg, Göran ^c   Rosén, Birgitta ^c   Sebelius, Fredrik ^a  

^a LUND UNIVERSITY   (Sweden)

^b SCUOLA SUPERIORE SANT ANNA   (Italy)

^c LUND UNIVERSITY HOSPITAL   (Sweden)

Author keywords

EMG signal acquisition; Myoelectric control; Prosthetic hand

Indexed keywords

ARTIFICIAL HAND; DATAGLOVE; DEGREE OF FREEDOM; EMG SIGNAL; FINGER JOINTS; FORCE SENSOR; HAND PROSTHESIS; JOINT ANGLE; LAZY LEARNING; LOCAL APPROXIMATION; MEAN CLASSIFICATION; MYOELECTRIC CONTROL; MYOELECTRIC SIGNALS; PATTERN RECOGNITION ALGORITHMS; PROSTHETIC HAND; PROSTHETIC HANDS; REAL-TIME PREDICTION; RESIDUAL LIMB; SENSORY INFORMATION; UPPER LIMBS;

ALGORITHMS; ARTIFICIAL LIMBS; JOINT PROSTHESES; JOINTS (ANATOMY); PATTERN RECOGNITION SYSTEMS; SENSORY FEEDBACK; SIGNAL ANALYSIS; SIGNAL PROCESSING;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

ACCURACY; ADULT; ARTICLE; BIOSENSOR; CASE REPORT; DISABLED PERSON; ELECTROMYOGRAPHY; FINGER JOINT; FUNCTIONAL STATUS; GRIP STRENGTH; HAND JOINT; HAND PROSTHESIS; HUMAN; LEARNING; MALE; MOTOR CONTROL; MYOELECTRIC CONTROL; MYOELECTRICITY; PATTERN RECOGNITION; SENSORY FEEDBACK; TACTILE STIMULATION;

EID: 78751498290     PISSN: 16090985     EISSN: None     Source Type: Journal    
DOI: 10.5405/jmbe.767     Document Type: Article

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