Revolutionizing Cardiac Care: A Comprehensive Review of ECG-Based Arrhythmia Prediction Techniques
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7862-5_38
Reference28 articles.
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3. Sahoo, S., et al. (2022). Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques. Intelligent Systems with Applications, 16, 200127. https://doi.org/10.1016/j.iswa.2022.200127
4. Sai, Y. P., & Kumari, L. V. R. (2022). Cognitive assistant DeepNet model for detection of cardiac arrhythmia. Biomedical Signal Processing and Control, 71, 103221. https://doi.org/10.1016/j.bspc.2021.103221
5. Prabhakaran, D., Jeemon, P., & Roy, A. (2016). Cardiovascular diseases in India: Current epidemiology and future directions. Circulation, 133(16), 1605–1620. https://doi.org/10.1161/CIRCULATIONAHA.114.008729
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