EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: A feasibility study

Journal of NeuroEngineering and Rehabilitation

Volumn 10, Issue 1, 2013, Pages

  Cesqui, Benedetta ^a,b   Tropea, Peppino ^b   Micera, Silvestro ^b,c   Krebs, Hermano Igo ^d,e  

^a IRCCS FONDAZIONE SANTA LUCIA   (Italy)

^b SCUOLA SUPERIORE SANT ANNA   (Italy)

^c EPFL EPFL/STI/IBI/LBO   (Switzerland)

^d Massachusetts Institute of Technology   (United States)

^e UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; CEREBROVASCULAR ACCIDENT; CLINICAL ARTICLE; COEFFICIENT OF EXPRESSIVENESS; COMPUTER PREDICTION; CONSTANTS AND COEFFICIENTS; CONTROLLED STUDY; ELECTROMYOGRAM; ELECTROMYOGRAPHY; FEASIBILITY STUDY; FEMALE; HUMAN; LOCOMOTION; MALE; MEASUREMENT ACCURACY; PATIENT CODING; PATIENT MOBILITY; PATTERN RECOGNITION; ROBOTIC EXOSKELETON; SIGNAL PROCESSING; STROKE PATIENT; SUPPORT VECTOR MACHINE; YOUNG ADULT; ARM; HAND; MOVEMENT (PHYSIOLOGY); NEUROFEEDBACK; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; ROBOTICS; SKELETAL MUSCLE; STROKE; METHODOLOGY;

ARM; ELECTROMYOGRAPHY; FEASIBILITY STUDIES; FEMALE; HAND; HUMANS; MALE; MOVEMENT; MUSCLE, SKELETAL; NEUROFEEDBACK; ROBOTICS; STROKE; SUPPORT VECTOR MACHINES;

EID: 84880130562     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-10-75     Document Type: Article

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