Time-frequency domain features of ECG signals: their application in P wave detection using the cross Wigner-Ville distribution-Reference-Cited by-同舟云学术

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Time-frequency domain features of ECG signals: their application in P wave detection using the cross Wigner-Ville distribution

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Container-title:International Conference on Acoustics, Speech, and Signal Processing
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Author:

Abeysekera R.M.S.S.,Boashash B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx2/805/6677/00266731.pdf?arnumber=266731

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ECG signal feature extraction trends in methods and applications;BioMedical Engineering OnLine;2023-03-08

2. A novel feature representation approach for single-lead heartbeat classification based on adaptive Fourier decomposition;International Journal of Wavelets, Multiresolution and Information Processing;2021-03-05

3. Automated phase classification in cyclic alternating patterns in sleep stages using Wigner–Ville Distribution based features;Computers in Biology and Medicine;2020-04

4. Dynamic signal quality index for electrocardiograms;Physiological Measurement;2018-10-22

5. Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier;Biomedical Signal Processing and Control;2018-03

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