Early onset/offset detection of epileptic seizure using M-band wavelet decomposition
by Yash Vardhan Varshney; Garima Chandel; Prashant Upadhyaya; Omar Farooq; Yusuf Uzzaman Khan
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 40, No. 3, 2022

Abstract: Early detection of the seizure and its diagnosis play an important role for effective treatment of epileptic patients. Most of the research used in this field has been focused on detection of the seizure. However, it is also very important to detect seizure with minimum delay, which can be useful to take care of the patient. In this paper, an efficient approach for seizure detection with low onset/offset latency is proposed using three-band wavelet decomposition. Variance and higher order moments are computed from wavelet-based feature extracted using three level wavelet decomposition. For comparative analysis, the extracted features are classified using two classifiers; decision tree (DT) and a shallow artificial neural network (ANN). The DT shows better classification performance as compare to ANN with classification specificity, sensitivity and accuracy of 99.6%, 98.97% and 99.49% respectively with onset and offset latency of 4.01 s and -0.21 s.

Online publication date: Thu, 27-Oct-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com