A Comparison of Classifiers for Epileptic Seizure Prediction Based on Heart Rate Variability
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49404-8_23
Reference24 articles.
1. World Health Organization: Epilepsy. https://www.who.int/en/news-room/fact-sheets/detail/epilepsy. Accessed 25 Apr 2022
2. Jeppesen, J., Beniczky, S., Johansen, P., Sidenius, P., Fuglsang-Frederiksen, A.: Detection of epileptic seizures with a modified heart rate variability algorithm based on Lorenz plot. Seizure 24, 1–7 (2015). https://doi.org/10.1016/j.seizure.2014.11.004
3. Melo, H., et al.: Ultra-short heart rate variability reliability for cardiac autonomic tone assessment in mesial temporal lobe epilepsy. Epilepsy Res. 174, 106662 (2021). https://doi.org/10.1016/j.eplepsyres.2021.106662
4. Truong, N.D., et al.: Seizure susceptibility prediction in uncontrolled epilepsy. Front. Neurol. 12 (2021). https://doi.org/10.3389/fneur.2021.721491. https://www.frontiersin.org/article/10.3389/fneur.2021.721491. ISSN 1664-2295
5. Pavei, J., et al.: Early seizure detection based on cardiac autonomic regulation dynamics. Front. Physiol. 8 (2017). https://doi.org/10.3389/fphys.2017.00765. https://www.frontiersin.org/article/10.3389/fphys.2017.00765. ISSN 1664-042X
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