Automated diagnosis of premature ventricular contraction arrhythmia through electrocardiogram analysis and machine learning techniques

Author:

Bu Weiwei

Publisher

Springer Science and Business Media LLC

Reference52 articles.

1. Abbasi SH et al (2016) Factors associated with depressive symptoms in young adults with coronary artery disease: Tehran Heart Center’s premature coronary atherosclerosis cohort (THC-PAC) study. Iran J Psychiatry 11(4):214

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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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