Closed-loop control of deep brain stimulation: A simulation study

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 19, Issue 1, 2011, Pages 15-24

  Santaniello, Sabato ^a,b,c   Fiengo, Giovanni ^a   Glielmo, Luigi ^a   Grill, Warren M ^b  

^a UNIVERSITY OF SANNIO   (Italy)

^b Duke University   (United States)

^c Johns Hopkins University   (United States)

Author keywords

Autoregressive model (ARX); deep brain stimulation (DBS); essential tremor; local field potentials; minimum variance control; Parkinson's disease; recursive least squares (RLS) identification

Indexed keywords

AUTO REGRESSIVE MODELS; DEEP BRAIN STIMULATION; ESSENTIAL TREMOR; LOCAL FIELD POTENTIALS; MINIMUM VARIANCE CONTROL; PARKINSON'S DISEASE; RECURSIVE LEAST-SQUARES IDENTIFICATIONS;

ADAPTIVE FILTERING; BRAIN; COMPUTER SIMULATION; CONTROLLERS; DISEASE CONTROL; DISEASES; IDENTIFICATION (CONTROL SYSTEMS); NEUROSURGERY; PLASMA DIAGNOSTICS; POWER SPECTRUM;

CLOSED LOOP CONTROL SYSTEMS;

ACTION POTENTIAL; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BIOLOGICAL RHYTHM; BRAIN DEPTH STIMULATION; COMPUTER ASSISTED THERAPY; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMAN; METHODOLOGY; NERVE CELL; PHYSIOLOGY; PSYCHOPHYSIOLOGY; THALAMUS;

ACTION POTENTIALS; ALGORITHMS; BIOFEEDBACK, PSYCHOLOGY; BIOLOGICAL CLOCKS; COMPUTER SIMULATION; DEEP BRAIN STIMULATION; ELECTROENCEPHALOGRAPHY; HUMANS; MODELS, NEUROLOGICAL; NEURONS; THALAMUS; THERAPY, COMPUTER-ASSISTED;

EID: 79951614244     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2010.2081377     Document Type: Article

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