Literature DB >> 30465700

Epilepsy detection from EEG signals: a review.

A Sharmila1.   

Abstract

Over many decades, research is being attempted for the detection of epileptic seizure to support for automatic diagnosis system to help clinicians from burdensome work. In this respect, an enormous number of research papers is published for identification of epileptic seizure. It is difficult to present a detailed review of all these literature. Therefore, in this paper, an attempt has been made to review the detection of an epileptic seizure. More than 100 research papers have been discussed to discern the techniques for detecting the epileptic seizure. Further, the literature survey shows that the pattern recognition required to detect epileptic seizure varies with different conditions of EEG datasets. This is mainly due to the fact that EEG detected under different conditions has different characteristics. This is, in turn, necessitates the identification of pattern recognition technique to effectively distinguish EEG epileptic data from a various condition of EEG data.

Entities:  

Keywords:  Seizure; classification; feature extraction; feature selection; mutual information

Mesh:

Year:  2018        PMID: 30465700     DOI: 10.1080/03091902.2018.1513576

Source DB:  PubMed          Journal:  J Med Eng Technol        ISSN: 0309-1902


  5 in total

Review 1.  Electroencephalography in epilepsy: look for what could be beyond the visual inspection.

Authors:  Boulenouar Mesraoua; Dirk Deleu; Hassan Al Hail; Gayane Melikyan; Paul Boon; Hiba A Haider; Ali A Asadi-Pooya
Journal:  Neurol Sci       Date:  2019-07-27       Impact factor: 3.307

2.  Using the Information Provided by Forbidden Ordinal Patterns in Permutation Entropy to Reinforce Time Series Discrimination Capabilities.

Authors:  David Cuesta-Frau
Journal:  Entropy (Basel)       Date:  2020-04-25       Impact factor: 2.524

3.  EEG-Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction.

Authors:  James Brian Romaine; Mario Pereira Martín; José Ramón Salvador Ortiz; José María Manzano Crespo
Journal:  Brain Sci       Date:  2021-04-19

4.  Implementation of a Morphological Filter for Removing Spikes from the Epileptic Brain Signals to Improve Identification Ripples.

Authors:  Amir F Al-Bakri; Radek Martinek; Mariusz Pelc; Jarosław Zygarlicki; Aleksandra Kawala-Sterniuk
Journal:  Sensors (Basel)       Date:  2022-10-04       Impact factor: 3.847

Review 5.  A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal.

Authors:  Sani Saminu; Guizhi Xu; Zhang Shuai; Isselmou Abd El Kader; Adamu Halilu Jabire; Yusuf Kola Ahmed; Ibrahim Abdullahi Karaye; Isah Salim Ahmad
Journal:  Brain Sci       Date:  2021-05-20
  5 in total

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