Mutual information between brain and heart activity before an epileptic seizure

Main Article Content

Олег Юрійович Панічев
М. А. Жуков
В. І. Харитонов

Abstract

The paper analyzes the relation between the brain and cardiovascular system activity in patients with epilepsy in the period before an epileptic seizure. Quantification of the connection by mutual information between full power of electroencephalogram and cardiorhythmogram in time windows for an hour before the seizure is proposed. Clinical study results for ten signals containing seizures showed a significant reduction of the mutual information in 5 minutes before the seizure. Ref. 19, Figs. 3.

Article Details

How to Cite
Панічев, О. Ю., Попов, А., Жуков, М. А., & Харитонов, В. І. (2015). Mutual information between brain and heart activity before an epileptic seizure. Electronics and Communications, 20(1), 36. https://doi.org/10.20535/2312-1807.2015.20.1.38595
Section
Biomedical devices and systems

References

Cao Y., Wen-wen Tung, J. B. Gao, V. A. Protopopescu, and L. M. Hively. (2004), Detecting dynamical changes in time series using the permutation entropy. Physical review E70.

Chen W., C.-L. Guo, P.-S. Zhang, C. Liu, H. Qiao, J.-G. Zhang, and F.-G. Meng, (2014), Heart rate changes in partial seizures: analysis of influencing factors among refractory patients.,” BMC Neurol., vol. 14, no. 1, p. 135, Jan. 2014.

Cover, T.M., Thomas. (1991), Elements of information theory. New York: Wiley.

Doquire, G., Verleysen, M. A (2012), “Comparison of Multivariate Mutual Information Estimators for Feature Selection,” SciTePress. Science and and Technology Publications.

Evrengül H., H. Tanriverdi, D. Dursunoglu, A. Kaftan, O. Kuru, U. Unlu, and M. Kilic, “Time and frequency domain analyses of heart rate variability in patients with epilepsy.,” Epilepsy Res., vol. 63, no. 2–3, pp. 131–9, Feb. 2005.

Finsterer J., Wahbi K. (2014), “CNS-Disease Affecting the Heart: Brain–heart Disorders,” Journal of the Neurological Sciences. Vol. 345(1-2). Pp. 8-14.

Kolsal E., A. Serdaroğlu, E. Cilsal, S. Kula, A. Ş. Soysal, A. N. Ç. Kurt, and E. Arhan. (2014), “Can heart rate variability in children with epilepsy be used to predict seizures?,” Seizure, Vol. 23, No. 5, Pp. 357–62, May 2014.

Legg, P.A., Rosin, P.L., Marshall, D., Morgan, J.E. (2007), Improving accuracy and efficiency of registration by mutual information using Sturges’ histogram rule,” Proc. Med. Image Understand. Anal. Pp. 26–30.

Lehnertz K. (1999), “Chaos in Brain”, World Scientific, Singapore, ISBN [978-981-4493-58-1.]

Li X., Ouyang G., Richards D.A. (2007), “Predictability analysis of absence seizures with permutation entropy,” Epilepsy Research, Vol. 77, Pp. 70-74.

Marek, T., Tichavsky, P.(2008), “On the estimation of mutual information,” ROBUST 2008, Pp. 263–269.

Mormann F., Andrzejak R.G., Elger C.E., Lehnertz K. (2007), “Seizure prediction: the long and winding road,” Brain, Vol. 130, No. Pt 2. Pp. 314–333.

Popov A., Avilov O. Oleksii Kanaykin, (2013), “Permutation entropy of EEG signals for different sampling rate and time lag combinations,” Proceedings of Signal Processing Symposium SPS. Pp. 1-4.

A. Popov, S. Zaunseder, H. Malberg. (2012), “Interdependency estimation between brain and cardiovascular activity,” XXXII International Scientific Conference "ELNANO 2012", April 10 12, 2012: Proceedings. Kyiv (Ukraine). Pp. 150-151.

O. Avilov, A. Popov, O. Kanaikin. (2013), “Saturation of electroencephalogram permutation entropy for large time lags,” XXXIII International Scientific Conference Electronics and Nanotechnology, 16-19 April 2013: proceedings. Kyiv, Pp. 251-254.

Schiecke K., Wacker M., D. Piper, F. Benninger, M. Feucht, and H. Witte. (2014), “Time-variant, frequency- selective, linear and nonlinear analysis of heart rate variability in children with temporal lobe epilepsy.,” IEEE Trans. Biomed. Eng., Vol. 61, No. 6, Pp. 1798–1808, Jun. 2014.

Sorjamaa, A., Hao, J., Lendasse, A. (2005), Mutual information and k-nearest neighbors approximator

for time series prediction. Springer.

Zhukov M. (2014), Analysis of interconnection between central nervous and cardiovascular systems. Electronics and Communications, Vol. 19. No 1(78). Pp. 26-36.

Zhukov, M.; Popov, A. (2014), "Bin number selection for equidistant mutual information estimaton," 2014 IEEE 34th International Conference on Electronics and Nanotechnology (ELNANO), Pp.259,263, 15-18 April 2014.