Research Article Open Access

Correlation Analysis and Modeling of EEG – EMG Signal for Startle-Induced Seizures

B. Pushpa1, D. Najumnissa1 and Dinesh Nayak2
  • 1 Department of Electronics and Instrumentation Engineering, B.S. Abdur Rahman University, Chennai, India
  • 2 Department of Neurology, Fortis Malar Hospital, Adayar, Chennai, India

Abstract

In this study an EEG and EMG signal is analyzed for startle type epilepsy. Future, ten subject were involved in this study, for hearing a sound or sudden touch on a particular area of the body especially the right side leg, initially induces a jerk which leads to subsequent tonic contraction. The modeling technique and Correlation technique have analyzed for both acquired EEG and EMG signal. The result demonstrates the electrode Fz, Cz, and Pz show the correlation between the EEG and EMG signal of the right leg. Also, the gain of signal also shows the similarity of these electrodes Fz, Cz, and Pz during the event along with the right leg. The Relative Gain Array (RGA) shows the interaction between the EEG electrode and EMG. The feature Inter quartile Range (IQR), skewness and entropy shows the strong correlation between the EEG and EMG right leg, For left leg it shows poor correlation. From the RGA we infer that the event is provoked at the central of frontal and parietal region of the brain.

OnLine Journal of Biological Sciences
Volume 18 No. 1, 2018, 17-23

DOI: https://doi.org/10.3844/ojbsci.2018.17.23

Submitted On: 25 October 2017 Published On: 26 December 2017

How to Cite: Pushpa, B., Najumnissa, D. & Nayak, D. (2018). Correlation Analysis and Modeling of EEG – EMG Signal for Startle-Induced Seizures. OnLine Journal of Biological Sciences, 18(1), 17-23. https://doi.org/10.3844/ojbsci.2018.17.23

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Keywords

  • EEG
  • EMG
  • Seizure
  • Correlation
  • RGA
  • IQR and MAD