Feature extraction and state identification in biomedical signals using hierarchical fuzzy clustering

Medical and Biological Engineering and Computing

Volumn 36, Issue 5, 1998, Pages 608-614

  Geva, A B ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

EEG; Events forecasting; Heart rate variability; Hierarchical clustering; Hybrid systems; Temporal pattern recognition; Unsupervised fuzzy clustering

Indexed keywords

ALGORITHMS; BIOMEDICAL ENGINEERING; DIGITAL SIGNAL PROCESSING; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; FUZZY SETS; PATTERN RECOGNITION; RECURSIVE FUNCTIONS; SPURIOUS SIGNAL NOISE;

BIOMEDICAL SIGNALS; EPILEPTIC SEIZURES; EVENTS FORECASTING; HEART RATE VARIABILITY; HIERARCHICAL FUZZY CLUSTERING; HYBRID SYSTEMS; STATE IDENTIFICATION;

MEDICAL COMPUTING;

ACTION POTENTIAL; ALGORITHM; ARTICLE; ELECTROCARDIOGRAM; ELECTROENCEPHALOGRAM; FORECASTING; HEART RATE; HUMAN; PATTERN RECOGNITION; PSYCHOSIS; SEIZURE; SIGNAL PROCESSING; TACHYCARDIA;

ALGORITHMS; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; HUMANS; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0032169829     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02524432     Document Type: Article

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