@article {10.3844/ojbsci.2018.17.23,
article_type = {journal},
title = {Correlation Analysis and Modeling of EEG – EMG Signal for Startle-Induced Seizures},
author = {Pushpa, B. and Najumnissa, D. and Nayak, Dinesh},
volume = {18},
number = {1},
year = {2017},
month = {Dec},
pages = {17-23},
doi = {10.3844/ojbsci.2018.17.23},
url = {https://thescipub.com/abstract/ojbsci.2018.17.23},
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.},
journal = {OnLine Journal of Biological Sciences},
publisher = {Science Publications}
}