Using wavelet transform and fuzzy neural network for VPC detection from the Holter ECG

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 7, 2004, Pages 1269-1273

  Shyu, Liang Yu ^a   Wu, Ying Hsuan ^a   Hu, Weichih ^a  

^a CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

Fuzzy neural network; Holter ECG; Ventricular premature contraction; Wavelet transform

Indexed keywords

ALGORITHMS; ELECTROCARDIOGRAPHY; FUZZY SETS; WAVELET TRANSFORMS;

FUZZY NEURAL NETWORKS (FNN); NORMALIZATION PROCESS; VENTRICULAR PREMATURE CONTRACTION (VPC); WAVELET TRANSFORMS (WT);

BIOMEDICAL ENGINEERING;

AMPLITUDE MODULATION; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROCARDIOGRAPHY MONITORING; HEART LEFT BUNDLE BRANCH BLOCK; HEART VENTRICLE EXTRASYSTOLE; HOLTER MONITORING; MODEL; NERVE CELL NETWORK; QRS COMPLEX; R WAVE; RELIABILITY; SIGNAL DETECTION; SIGNAL PROCESSING; WAVEFORM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY, AMBULATORY; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR PREMATURE COMPLEXES;

EID: 2942746358     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2004.824131     Document Type: Article

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