A new method of cardiac sympathetic index estimation using a 1D-convolutional neural network

A new method of cardiac sympathetic index estimation using a 1D-convolutional neural network

Epilepsy is a neurological disorder that causes seizures of many different types. The article presents an analysis of heart rate variability (HRV) for epileptic seizure prediction. Considering that HRV is nonstationary, our research focused on the quantitative analysis of a Poincare plot feature, i....

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Bibliographic Details
Main Authors: Marcin Kołodziej, Andrzej Majkowski, Paweł Tarnowski, Remigiusz Jan Rak, Andrzej Rysz
Format: Article
Language:English
Published: Polish Academy of Sciences 2021-03-01
Series:Bulletin of the Polish Academy of Sciences: Technical Sciences
Subjects:
epilepsy
seizure detection
seizure prediction
convolutional neural network
deep learning
ecg
hrv
cardiac sympathetic index
Online Access:https://journals.pan.pl/Content/119462/PDF/06_01971_Bpast.No.69(3)_23.06.21_Druk.pdf

Internet

https://journals.pan.pl/Content/119462/PDF/06_01971_Bpast.No.69(3)_23.06.21_Druk.pdf

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