Heartbeat Classification Using MLP and Random Forest Techniques

Author:

Ortiz Carlos A. L.ORCID,Nadal JurandirORCID

Publisher

Springer Nature Switzerland

Reference12 articles.

1. Guyton, A., Hall, J.: Textbook of Medical Physiology. Elsevier Saunders, Amsterdam (2015)

2. Luz, E., Schwartz, W., Cámara-Chavez., G., Menotti, D.: ECG-based heartbeat classification for arrhythmia detection: a survey. Comput. Methods Programs Biomed. 127, 144–164 (2016)

3. Luz, E., Nunes, T., Papa, J., Menotti, D.: ECG arrhythmia classification based on optimum-path forest. Expert Syst. Appl. 40, 3561–3573 (2013)

4. Ye, C., Kumar, B., Coimbra, M.: Combining general multi-class and specific two-class classifiers for improved customized ECG heartbeat classification. In: 21st International Conference on Pattern Recognition ICPR 2012, pp. 2428–2431, Tsukuba, Japan (2012)

5. Dalvi, R., Zago, G., Aandreão, R.: Heartbeat classification system based on neural networks and dimensionality reduction. Res. Biomed. Eng. 32(4), 318–326 (2016)

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