Segmentation and tracking of the electro-encephalogram signal using an adaptive recursive bandpass filter

Medical and Biological Engineering and Computing

Volumn 39, Issue 2, 2001, Pages 237-248

  Gharieb, R R ^a   Cichocki, A ^b  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b ASSIUT UNIVERSITY   (Egypt)

Author keywords

Adaptive tracking of centre frequency of biomedical signals; Electro encephalogram analysis; Non stationarity

Indexed keywords

ADAPTIVE FILTERING; BANDPASS FILTERS; COMPUTER SIMULATION; SIGNAL PROCESSING;

ELECTRO-ENCEPHALOGRAM (EEG) SIGNAL WAVES; SLEEP SPINDLES;

BIOMEDICAL ENGINEERING;

ACCURACY; ALPHA RHYTHM; ANALYTICAL PARAMETERS; ARTICLE; BETA RHYTHM; COMPUTER AIDED DESIGN; CONSTANTS AND COEFFICIENTS; CONTROLLED STUDY; DELTA RHYTHM; ELECTROENCEPHALOGRAM; FILTER; FREQUENCY ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MEDICAL INFORMATION; MULTIVARIATE ANALYSIS; ONLINE SYSTEM; SIGNAL DETECTION; SIMULATION; SLEEP SPINDLE; THETA RHYTHM; TIME;

ALGORITHMS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMANS; MODELS, NEUROLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP;

EID: 0035050694     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02344808     Document Type: Article

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