Artificial proprioceptive feedback for myoelectric control

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 23, Issue 3, 2015, Pages 498-507

  Pistohl, Tobias ^a,b   Joshi, Deepak ^c   Ganesh, Gowrishankar ^d,e   Jackson, Andrew ^a   Nazarpour, Kianoush ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF FREIBURG   (Germany)

^c GRAPHIC ERA UNIVERSITY   (India)

^d NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^e NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

Author keywords

Electromyogram signal; Proprioceptive feedback; Sensorimotor integration

Indexed keywords

ARTIFICIAL LIMBS; INTEGRATION; MUSCLE; PARTIAL DISCHARGES; PROSTHETICS; SENSORY FEEDBACK; SENSORY PERCEPTION; VISUAL COMMUNICATION;

ANGULAR ACCURACY; AVERAGE DISTANCE; ELECTROMYOGRAM SIGNALS; MYOELECTRIC CONTROL; MYOELECTRIC PROSTHESIS CONTROLS; OVERALL ACCURACIES; SENSORIMOTOR INTEGRATION; VISUAL FEEDBACK;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

ADULT; ARM; COMPUTER INTERFACE; DEVICES; ELECTROMYOGRAPHY; FEEDBACK SYSTEM; FEMALE; HEMISPHERIC DOMINANCE; HUMAN; INNERVATION; MALE; PHYSIOLOGY; PROCEDURES; PROPRIOCEPTION; PROSTHESIS DESIGN; PSYCHOMOTOR PERFORMANCE; ROBOTICS; SENSORY FEEDBACK;

ADULT; ARM; ELECTROMYOGRAPHY; FEEDBACK, PHYSIOLOGICAL; FEEDBACK, SENSORY; FEMALE; FUNCTIONAL LATERALITY; HUMANS; MALE; PROPRIOCEPTION; PROSTHESIS DESIGN; PSYCHOMOTOR PERFORMANCE; ROBOTICS; USER-COMPUTER INTERFACE;

EID: 84929330989     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2014.2355856     Document Type: Article

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