Recurrence Based Method to Determine the Neurological Disorders Through Electrical Signals of Brain
Mohd Suhaib Kidwai2, S. Hasan Saeed2
1Mohd Suhaib Kidwai, Department of Electronics and Communication Engineering, Integral University, Lucknow (U.P.) India.
2S.Hasan Saeed, Department of Electronics and Communication Engineering, Integral University, Lucknow (U.P.) India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 976-980 | Volume-8 Issue-5, March 2019 | Retrieval Number: E2913038519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper talks about the phenomenon of recurrence and using this concept it proposes a novel and a very simple and user friendly method to diagnose the neurological disorders by using the EEG signals. The mathematical concept of recurrence forms the basis for the detection of neurological disorders and the tool used is MATLAB. Using MATLAB, an algorithm is designed which uses EEG signals as the input and uses the synchronizing patterns of EEG signals to determine various neurological disorders through graphs and recurrence plots
Keyword: EEG Signals, Recurrence, Order Recurrence Plot, Coupling Index, Signal Processing
Scope of the Article: Neural Information Processing