A novel method for beat-to-beat detection of ventricular late potentials

IEEE Transactions on Biomedical Engineering

Volumn 48, Issue 8, 2001, Pages 931-935

  Wu, Shuicai ^a   Qian, Yongxian ^a   Gao, Zhiyong ^a   Lin, Jiarui ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Artificial neural networks; Signal detection; Time sequence adaptive filter; Ventricular late potentials; Wavelet transform

Indexed keywords

ADAPTIVE FILTERING; BANDPASS FILTERS; CARDIOLOGY; ELECTROCARDIOGRAPHY; NEURAL NETWORKS; SENSITIVITY ANALYSIS; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS;

VENTRICULAR LATE POTENTIALS (VLP);

BIOELECTRIC POTENTIALS;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROCARDIOGRAM; FILTER; HEART BEAT; HEART MUSCLE POTENTIAL; HEART VENTRICLE; SIGNAL DETECTION; SIGNAL NOISE RATIO; WAVEFORM;

ACTION POTENTIALS; ALGORITHMS; ELECTROCARDIOGRAPHY; HUMANS; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; VENTRICULAR DYSFUNCTION;

EID: 0034888140     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.936369     Document Type: Article

References (13)

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5. Enhancement of low-level ECG components in noise with time-sequenced adaptive filtering
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7. Detection late potentials by means of wavelet transform
8. A wavelet transform-based multichannel detection of ventricular late potentials
9. Automated neural network detection of wavelet preprocessed electrocardiogram late potentials
10. Use of signals in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction
11. Wavelets as alternative to short-time Fourier transform in signal-averaged electrocardiography
12. Classification of normal and abnormal electrogastrograms using multilayer feedforward neural networks