1. How to submit my research paper? What’s the process of publication of my paper?
The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or .pdf format to the submission email: ijsps@ejournal.net.
2. Can I submit an abstract?
The journal publishes full research papers. So only full paper submission should be considered for possible publication...[Read More]

Using Entropies for the Analysis of Brain Rhythms

Prajna Upadhyaya and Tohru Yagi
Tokyo Institute of Technology, Tokyo, Japan
Abstract—Epilepsy is a chronic neurological disorder characterized by seizures. It involves abnormal discharging of neurons that effects smaller section of the brain, referred to as partial epilepsy or larger section of the brain resulting in generalized epilepsy. Sometimes these abnormal activities spread from smaller section to the larger section of the brain resulting in secondary generalized epilepsy. Hence, it is important to detect and control epileptic seizure in an early stage. In this work, we design a system that classifies interictal (period between the seizure) and ictal (after onset of seizure) signals by extracting subtle information from the EEG rhythms: gamma, beta, alpha, theta and delta. The following system also aims to determine the sensitivity of these EEG rhythms towards epileptic seizure. In this research, we have used entropy methods namely: Shannon entropy, approximate entropy and sample entropy to extract the subtle information from the EEG rhythms. Classifiers namely: k-nearest neighbor, support vector machine and linear discriminant analysis is utilized to distinguish interictal and ictal signals with a classification accuracy of 94%, 95.5% and 97.5%. 

Index Terms—Electroencephalography (EEG), EEG rhythms, epilepsy, entropy

Cite: Prajna Upadhyaya and Tohru Yagi, "Using Entropies for the Analysis of Brain Rhythms," International Journal of Signal Processing Systems, Vol. 8, No. 3, pp. 54-58, September 2020. doi: 10.18178/ijsps.8.3.54-58

Copyright © 2012-2021 International Journal of Signal Processing Systems, All Rights Reserved