Title :
Epileptic seizure behaviour from the perspective of Heart Rate Variability
Author :
Behbahani, Saeed ; Dabanloo, N.J. ; Nasrabadi, A.M. ; Attarodi, G. ; Teixeira, C.A. ; Dourado, Antonio
Author_Institution :
Sci. & Res.Branch, Islamic Azad Univ., Tehran, Iran
Abstract :
Heart Rate Variability (HRV) analysis has gained much importance in recent years, as a technique to explore the activity of autonomic nervous system (ANS), and an important early marker for identifying different pathological conditions. Epilepsy is a disease which progressively involves cardiac autonomic activity. Our studies indicate that time domain, frequency domain and some nonlinear measures of HRV would be able to provide valuable information regarding the autonomic dysfunction due to epileptic seizures. In this paper, we investigate the extracted features of heart rate variability for epileptic seizure detection and anticipation.
Keywords :
cardiology; diseases; neurophysiology; HRV analysis; autonomic nervous system; cardiac autonomic activity; disease; epileptic seizure; heart rate variability; pathological condition; Educational institutions; Epilepsy; Frequency domain analysis; Hafnium; Heart rate variability; Resonant frequency;
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4673-2076-4