An Automation Detection of Arrhythmia Using DWT-AR Features and Machine Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1724-8_63
Reference28 articles.
1. Ullah A, Anwar SM, Bilal M, Mehmood RM (2020) Classification of arrhythmia by using deep learning with 2-D ECG spectral image representation. Remote Sens 12(10):1685
2. Irfan S, Anjum N, Althobaiti T, Alotaibi AA, Siddiqui AB, Ramzan N (2022) Heartbeat classification and arrhythmia detection using a multi-model deep-learning technique. Sensors 22(15):5606
3. Ketu S, Mishra PK (2022) Empirical analysis of machine learning algorithms on imbalance electrocardiogram based arrhythmia dataset for heart disease detection. Arab J Sci Eng 1–23
4. Zhang J, Liu A, Gao M, Chen X, Zhang X, Chen X (2020) ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network. Artif Intell Med 106:101856
5. Alfaras M, Soriano MC, Ortín S (2019) A fast machine learning model for ECG-based heartbeat classification and arrhythmia detection. Front Phys 103
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