Automated diagnosis of premature ventricular contraction arrhythmia through electrocardiogram analysis and machine learning techniques
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41939-024-00521-4.pdf
Reference52 articles.
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3. Alajlan N et al (2014) Detection of premature ventricular contraction arrhythmias in electrocardiogram signals with kernel methods. SIViP 8:931–942
4. Apandi ZFM, Ikeura R, Hayakawa S (2018) Arrhythmia detection using MIT-BIH dataset: a review. In: 2018 international conference on computational approach in smart systems design and applications (ICASSDA). IEEE, pp 1–5
5. Attia ZI et al (2021) Application of artificial intelligence to the electrocardiogram. Eur Heart J 42(46):4717–4730
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