A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disorders

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 4140-4143

  Shukla, Pitamber ^a   Basu, Ishita ^a   Graupe, Daniel ^a   Tuninetti, Daniela ^a   Slavin, Konstantin V ^b  

^a University of Illinois at Chicago   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

closed loop deep brain stimulation; feed forward back propagation neural network; Levenberg Marquardt learning algorithm; movement disorders; Surface EMG; tremor onset prediction

Indexed keywords

DEEP BRAIN STIMULATION; FEEDFORWARD BACKPROPAGATION; LEVENBERG-MARQUARDT LEARNING ALGORITHMS; MOVEMENT DISORDERS; SURFACE EMG;

FORECASTING; LEARNING ALGORITHMS; NEURAL NETWORKS;

NEUROSURGERY;

ADAPTATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN DEPTH STIMULATION; COMPUTER ASSISTED THERAPY; ELECTROMYOGRAPHY; HUMAN; METHODOLOGY; MOTOR DYSFUNCTION; PARKINSON DISEASE; PATHOPHYSIOLOGY; PSYCHOPHYSIOLOGY; TREATMENT OUTCOME;

ADAPTATION, PHYSIOLOGICAL; BIOFEEDBACK, PSYCHOLOGY; DEEP BRAIN STIMULATION; ELECTROMYOGRAPHY; HUMANS; MOVEMENT DISORDERS; NEURAL NETWORKS (COMPUTER); PARKINSON DISEASE; THERAPY, COMPUTER-ASSISTED; TREATMENT OUTCOME;

MLCS; MLOWN;

EID: 84880961883     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346878     Document Type: Conference Paper

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