Artificial Neural Network prediction using accelerometers to control upper limb FES during reaching and grasping following stroke

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 2916-2919

  Tresadern, Phil ^a   Thies, Sibylle ^a   Kenney, Laurence ^a   Howard, David ^a   Goulermas, John Y ^b  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; ALGORITHMS; MOTION ESTIMATION; NEURAL NETWORKS; PATIENT MONITORING;

ACCELEROMETER SIGNALS; STROKE; UPPER LIMBS;

FUNCTIONAL ELECTRIC STIMULATION;

ACCELERATION; ADULT; AGED; ALGORITHM; ARM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMEDICAL ENGINEERING; CEREBROVASCULAR ACCIDENT; ELECTROMYOGRAPHY; EVALUATION STUDY; FEMALE; HEMIPLEGIA; HUMAN; MALE; MAN MACHINE INTERACTION; MOVEMENT (PHYSIOLOGY); PATHOPHYSIOLOGY; PHYSIOLOGY; TRANSCUTANEOUS NERVE STIMULATION; VERY ELDERLY;

ACCELERATION; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARM; BIOMEDICAL ENGINEERING; ELECTROMYOGRAPHY; FEMALE; HEMIPLEGIA; HUMANS; MALE; MAN-MACHINE SYSTEMS; MOVEMENT; NEURAL NETWORKS (COMPUTER); STROKE; TRANSCUTANEOUS ELECTRIC NERVE STIMULATION;

EID: 34047123310     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260447     Document Type: Conference Paper

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