Key result
Heart rate variability features, including time domain, frequency domain, and nonlinear measures, provide valuable information for epileptic seizure detection and anticipation.
Why the study?
Can heart rate variability (HRV) features be used for epileptic seizure detection and anticipation?
Can heart rate variability (HRV) features be used for epileptic seizure detection and anticipation?
Heart rate variability features may serve as a useful tool for detecting and anticipating epileptic seizures by reflecting underlying autonomic dysfunction.
HRV metrics may support seizure monitoring algorithms in epilepsy; leaves open prospective validation before clinical adoption.
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.
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Behbahani et al. (2012) studied Epilepsy. Heart Rate Variability (HRV) analysis was evaluated on Epileptic seizure detection and anticipation. Heart rate variability features, including time domain, frequency domain, and nonlinear measures, provide valuable information for epileptic seizure detection and anticipation.
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