Review on diverse approaches used for epileptic seizure detection using EEG signals

K Baskar,C Karthikeyan

doi:10.3329/bjms.v17i4.38307

K Baskar, C Karthikeyan

Open Access

https://doi.org/10.3329/bjms.v17i4.38307

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Abstract

Epileptic seizure detection is a common diagnosis practiced by the expert clinicians through direct visual observation from the electroencephalography (EEG) signal. This detection by the expert clinicians is considered sensitive to bias and time consuming. Further, it suffers from various problems like unsustainability in larger dataset processing and low power detection. Hence, many computerized detection approaches are highly preferred to eliminate the aforementioned problems and to expedite the research in epilepsy seizure detection for aiding the medical professionals. Many such automated epilepsy diagnosis framework has been designed by various researches, which is made to operate in a single or in a combined manner with other domains. This study reviews different approaches, which is been designed to aid the human diagnosis using new avenues that explains the causes of epilepsy and seizures. Further, this study summarizes various methods used previously to analyze the epilepsy and seizures based on its state of art approach. Also, investigations are carried out in terms of performance evaluation to find the best suitable epileptic seizure detection technique in the application of Neuro-informatics.Bangladesh Journal of Medical Science Vol.17(4) 2018 p.526-531

Highlights

EEG is progressively increasing its vital diagnosis and treatment of neuro-degenerative ailments and brain signal abnormalities
Numerous procedures utilized as a part of research are not adequately standardized to be utilized as a part of the clinical setting
The most important process is the extraction of related feature from the EEG signal and the extracted feature is used for further classification

Summary

Introduction

EEG is progressively increasing its vital diagnosis and treatment of neuro-degenerative ailments and brain signal abnormalities. This method provides a brief discussion of electroencephalogram (EEG) in Epilepsy Diagnosis and classification of EEG signal using various techniques. Assistant Professor, Department of Electronics and Communication Engineering, Pavai College of Technology, Affiliated to Anna University Chennai,Namakkal-637018, India, email: baskarresearch17@gmail.com

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