CISUC

Pre-ictal heart rate variability assessment of epileptic seizures by means of linear and non-linear analyses

Authors



Related Project

EPILEPSIAE- Evolving Platform for Improving Living Expectation of Patients

Journal

Anadolu Kardiyol Derg, Vol. 13, #8, pp. 797-803, January 2013

Cited by

Year 2016 : 8 citations

 Fujiwara, K., Miyajima, M., Yamakawa, T., Abe, E., Suzuki, Y., Sawada, Y., Kano, M., Maehara, T., Ohta, K., Sasai-Sakuma, T. and Sasano, T., 2016. Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features. IEEE Transactions on Biomedical Engineering, 63(6), pp.1321-1332.

 Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I.S., Pearl, P.L. and Loddenkemper, T., 2016. Automated seizure detection systems and their effectiveness for each type of seizure. Seizure, 40, pp.88-101.

 VAN DEN BIESEN, M., 2016. Cardiac changes in epilepsy. (http://lib.ugent.be/fulltxt/RUG01/002/272/890/RUG01-002272890_2016_0001_AC.pdf)

 Jeppesen, J., Beniczky, S., Johansen, P., Sidenius, P. and Fuglsang-Frederiksen, A., 2016. Comparing maximum autonomic activity of psychogenic non-epileptic seizures and epileptic seizures using heart rate variability. Seizure, 37, pp.13-19.

 Qaraqe, M., Ismail, M. and Serpedin, E., 2016, August. Combined matching pursuit and Wigner-Ville Distribution analysis for the discrimination of ictal heart rate variability. In Signal Processing Conference (EUSIPCO), 2016 24th European (pp. 2045-2049). IEEE.

 Qaraqe, M., Ismail, M., Serpedin, E. and Zulfi, H., 2016. Epileptic seizure onset detection based on EEG and ECG data fusion. Epilepsy & Behavior, 58, pp.48-60.

 Behbahani, S., Dabanloo, N.J., Nasrabadi, A.M. and Dourado, A., 2016. Prediction of epileptic seizures based on heart rate variability. Technology and Health Care, (Preprint), pp.1-16.

 Behbahani, S., Dabanloo, N.J., Nasrabadi, A.M. and Dourado, A., 2016. Gender-Related Differences in Heart Rate Variability of Epileptic Patients. American journal of men's health, p.1557988316638733.

Year 2015 : 3 citations

 Detection of epileptic seizures with a modified heart rate variability algorithm based on Lorenz plot
J Jeppesen, S Beniczky, P Johansen, P Sidenius… - Seizure, 2015 - Elsevier
Purpose In order to assess whether focal epileptic seizures can be detected and
distinguished from exercise we evaluated four different heart rate variability (HRV) methods
with short term moving window analysis of 30, 50 or 100 RR intervals or seconds per ...

 JD Slater - Sudden Unexpected Death in Epilepsy: Mechanisms …, 2015 - books.google.com
The exact pathophysiology of sudden unexplained death in epilepsy (SUDEP) remains
unknown, but a growing body of evidence points to peri-ictal (occurring concurrently with a
seizure) respiratory, cardiac, or autonomic dysfunction. Not every case of SUDEP ...

 Detection of epileptic seizures with a modified heart rate variability algorithm based on Lorenz plot
J Jeppesen, S Beniczky, P Johansen, P Sidenius… - Seizure, 2015 - Elsevier

Year 2014 : 3 citations

 Jeppesen, Jesper, et al. "Using Lorenz plot and Cardiac Sympathetic Index of heart rate variability for detecting seizures for patients with epilepsy." Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. IEEE, 2014.

 Jeppesen, Jesper, et al. "Detection of epileptic seizures with a modified heart rate variability algorithm based on Lorenz plot." Seizure (2014).

 van der Kruijs, S. J. M., et al. "Autonomic Nervous System Functioning Associated with Epileptic Seizures: Analysis of Heart Rate Variability." J Neurol Neurophysiol 5.215 (2014): 2.