Classifying Biosignals with wavelet networks : A method for nonivasive diagnosis

IEEE Engineering in Medicine and Biology Magazine

Volumn 15, Issue 5, 1996, Pages 103-111

  Dickhaus, Hartmut ^a,b,c   Heinrich, Hartmut ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

^c Polytechnical School   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIAGNOSIS; DISEASES; FEATURE EXTRACTION; FOURIER TRANSFORMS; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS; NONINVASIVE MEDICAL PROCEDURES; PATTERN RECOGNITION; STATISTICAL METHODS; WAVELET TRANSFORMS;

FEATURE SELECTION; VENTRICULAR TACHYCARDIA; WAVELET NETWORKS;

ELECTROCARDIOGRAPHY;

ARTIFICIAL NEURAL NETWORK; CALCULATION; CLASSIFICATION; CONTROLLED STUDY; DATA ANALYSIS; ELECTROCARDIOGRAM; FEMALE; HEART VENTRICLE TACHYCARDIA; HUMAN; MAJOR CLINICAL STUDY; MALE; PATTERN RECOGNITION; REVIEW; SIGNAL DETECTION;

EID: 0030245757     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/51.537066     Document Type: Review

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