Cardiac arrhythmia detection using dual-tree wavelet transform and convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-06653-w.pdf
Reference34 articles.
1. Acharya UR et al (2017) Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals. Biomed Signal Process Control 31:31–43
2. Acharya UR, Fujita H, Oh SL, Hagiwara Y, Tan JH, Adam M (2017) Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals. Inf Sci (NY) 416:190–198
3. Babaoglu İ, Findik O, Ülker E (2010) A comparison of feature selection models utilizing binary particle swarm optimization and genetic algorithm in determining coronary artery disease using support vector machine. Expert Syst Appl 37(4):3177–3183
4. Bal U (2012) Dual tree complex wavelet transform based denoising of optical microscopy images. Biomed Opt Express 3(12):3231–3239
5. Ceylan R, Yüksel O (2011) Wavelet neural network for classification of bundle branch blocks. In: Proceedings of the world congress on engineering, vol 2, no 4
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