Publication Type : Book Chapter
Publisher : Advances in Signal Processing and Intelligent Recognition Systems
Source : Advances in Signal Processing and Intelligent Recognition Systems, Springer Singapore, Singapore (2020)
ISBN : 9789811548284
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2020
Abstract : Epilepsy is a neurological disorder which is a result of excessive electric discharge between the neurons of brain. Epileptic seizures can be treated with Anti Epileptic Drugs (AEDs), surgery and stimulation. In this study, Epileptor a dynamical system model is used to generate epileptic seizure signals in The Virtual Brain-a simulation framework and electrical Deep Brain Stimulation (DBS) has been used to reduce the effect of epilepsy. The non- linear dynamics of the simulated signals with and without Deep Brain Stimulation has been analyzed using various entropy methods and Hurst Exponent. It is observed that the entropy values of the signals stimulated with DBS are greater than those of the non-stimulated epileptic seizure signals emphasizing an increase in randomness. Also, it is observed that the effect of DBS reduces the predictability of the signal as the Hurst exponent reduces.
Cite this Research Publication : S. Dhathri Kataru and R. Sunitha, “Non Linear Analysis of the Effect of Stimulation on Epileptic Signals Generated at Right Hippocampus”, in Advances in Signal Processing and Intelligent Recognition Systems, S. M. Thampi, Hegde, R. M., Krishnan, S., Mukhopadhyay, J., Chaudhary, V., Marques, O., Piramuthu, S., and Corchado, J. M., Eds. Singapore: Springer Singapore, 2020.