Nonconvulsive Epileptic Seizure Detection in Scalp EEG Using Multiway Data Analysis

Aldana, Yissel Rodríguez, Hunyadi, Borbála, Reyes, Enrique J.Marañón, Rodríguez, Valia Rodríguez and Van Huffel, Sabine (2019). Nonconvulsive Epileptic Seizure Detection in Scalp EEG Using Multiway Data Analysis. IEEE Journal of Biomedical and Health Informatics, 23 (2), pp. 660-671.


Nonconvulsive status epilepticus is a condition where the patient is exposed to abnormally prolonged epileptic seizures without evident physical symptoms. Since these continuous seizures may cause permanent brain damage, it constitutes a medical emergency. This paper proposes a method to detect nonconvulsive seizures for a further nonconvulsive status epilepticus diagnosis. To differentiate between the normal and seizure electroencephalogram (EEG), a K-Nearest Neighbor, a Radial Basis Support Vector Machine, and a Linear Discriminant Analysis classifier are used. The classifier features are obtained from the Canonical Polyadic Decomposition (CPD) and Block Term Decomposition (BTD) of the EEG data represented as third order tensor. To expand the EEG into a tensor, Wavelet or Hilbert-Huang transform are used. The algorithm is tested on a scalp EEG database of 139 seizures of different duration. The experimental results suggest that a Hilbert-Huang tensor representation and the CPD analysis provide the most suitable framework for nonconvulsive seizure detection. The Radial Basis Support Vector Machine classifier shows the best performance with sensitivity, specificity, and accuracy values over 98%. A rough comparison with other methods proposed in the literature shows the superior performance of the proposed method for nonconvulsive epileptic seizure detection.

Publication DOI:
Divisions: Life & Health Sciences > Audiology
Life & Health Sciences
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Hilbert Huang Transform,Multiway Data Analysis,Nonconvulsive epileptic seizures,Wavelet Transform,Biotechnology,Computer Science Applications,Electrical and Electronic Engineering,Health Information Management
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Online Date: 2018-04-27
Published Date: 2019-03-01
Authors: Aldana, Yissel Rodríguez
Hunyadi, Borbála
Reyes, Enrique J.Marañón
Rodríguez, Valia Rodríguez ( 0000-0002-6085-285X)
Van Huffel, Sabine



Version: Accepted Version

| Preview

Export / Share Citation


Additional statistics for this record