Tracking tremor frequency in spike trains using the extended Kalman smoother

IEEE Transactions on Biomedical Engineering

Volumn 53, Issue 8, 2006, Pages 1569-1577

  Kim, Sunghan ^a   McNames, James ^a  

^a Portland State University   (United States)

Author keywords

Binary spike trains; Essential tremor (ET); Extended Kalman filter (EKF); Hilbert transform; Instantaneous frequency; Interspike interval; Microelectrode recordings (MER); Parkinson's disease (PD); Renewal process; Spike detection

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTER SIMULATION; KALMAN FILTERING; MEASUREMENT ERRORS; NEURAL NETWORKS;

BINARY SPIKE TRAINS; ESSENTIAL TREMOR (ET); EXTENDED KALMAN FILTER (EKF); HILBERT TRANSFORMS; INSTANTANEOUS FREQUENCY; INTERSPIKE INTERVAL; MICROELECTRODE RECORDINGS (MER); PARKINSON'S DISEASE (PD); RENEWAL PROCESS; SPIKE DETECTION;

DISEASES;

ACCURACY; ARTICLE; ERROR; EXTENDED KALMAN SMOOTHER; MORBIDITY; NOISE; TECHNIQUE; TREMOR;

ACTION POTENTIALS; ALGORITHMS; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES; SYSTEMS THEORY; TREMOR;

EID: 33746652211     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2006.877809     Document Type: Article

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