Publisher
Springer Nature Switzerland
Reference14 articles.
1. Electrophysiology, task force of the European society of cardiology the north American society of pacing: heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation 93(5), 1043–1065 (1996)
2. Faust, O., Shenfield, A., Kareem, M., San, T.R., Fujita, H., Acharya, U.R.: Automated detection of atrial fibrillation using long short-term memory network with RR interval signals. Comput. Biol. Med. 102, 327–335 (2018)
3. Goldberger, A.L., et al.: PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation 101(23), e215–e220 (2000)
4. Joo, S., Choi, K.J., Huh, S.J.: Prediction of ventricular tachycardia by a neural network using parameters of heart rate variability. In: 2010 Computing in Cardiology, pp. 585–588. IEEE (2010)
5. Karal, Ö.: Performance comparison of different kernel functions in SVM for different k value in k-fold cross-validation. In: 2020 Innovations in Intelligent Systems and Applications Conference (ASYU), pp. 1–5. IEEE (2020)