An ECG classification based on modified local binary patterns: a novel approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42600-021-00165-0.pdf
Reference45 articles.
1. Appathurai A, Carol JJ, Raja C, Kumar SN, Krishnamoorthy S. A study on ECG signal characterization and practical implementation of some ECG characterization techniques. Measurement. 2019;147:106384.
2. Asl B, Setarehdan SK, Mohebbi M. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal. Artif Intell Med. 2008;44:51–65.
3. Benouis M, Mostefai L, Costen N, Regouid M. ECG based biometric identification using one-dimensional local difference pattern. Biomed Signal Process Control. 2021;64:102226.
4. Bhagyalakshmi V, Pujeri RV, Devanagavi GD. GB-SVNN: genetic BAT assisted support vector neural network for arrhythmia classification using ECG signals. J King Saud Univ - Comput Inf Sci In press. 2018. https://doi.org/10.1016/j.jksuci.2018.02.005.
5. Boix M, et al. Using the Wavelet Transform for T-wave alternans detection. Math Comput Model. 2009;50(5–6):738–43.
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1. Optimized multi-stage sifting approach for ECG arrhythmia classification with shallow machine learning models;International Journal of Information Technology;2023-12-20
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