Detecting ECG abnormalities using an ensemble framework enhanced by Bayesian belief network

Author:

Han Jingyu,Sun Guangpeng,Song Xinhai,Zhao Jing,Zhang Jin,Mao Yi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference40 articles.

1. Cardiovascular diseases (CVDs) (2017). URL: https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).

2. Building normal ECG models to detect any arrhythmias using deep learning;Gyohten,2020

3. ECG signal classification using various machine learning techniques;Celin;J. Med. Syst.,2018

4. Heartbeat classification using abstract features from the abductive interpretation of the ECG;Teijeiro;IEEE J. Biomed. Health Inf.,2018

5. L. Kersey, K. Lilly, N. Park, ECG heartbeat classification: An exploratory study, in: Proc. of the Australasian Joint Conference on Artificial Intelligence – Workshops, ACM, New York, NY, USA, 2018, pp. 20–27.

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