Automated epilepsy detection techniques from electroencephalogram signals: a review study
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(2020) 8:33 Supriya et al. Health Inf Sci Syst https://doi.org/10.1007/s13755-020-00129-1
RESEARCH
Automated epilepsy detection techniques from electroencephalogram signals: a review study Supriya Supriya, Siuly Siuly* , Hua Wang and Yanchun Zhang
Abstract Epilepsy is a serious neurological condition which contemplates as top 5 reasons for avoidable mortality from ages 5–29 in the worldwide. The avoidable deaths due to epilepsy can be reduced by developing efficient automated epilepsy detection or prediction machines or software. To develop an automated epilepsy detection framework, it is essential to properly understand the existing techniques and their benefit as well as detriment also. This paper aims to provide insight on the information about the existing epilepsy detection and classification techniques as they are crucial for supporting clinical-decision in the course of epilepsy treatment. This review study accentuate on the existing epilepsy detection approaches and their drawbacks. This information presented in this article will be helpful to the neuroscientist, researchers as well as to technicians for assisting them in selecting the reliable and appropriate techniques for analyzing epilepsy and developing an automated software system of epilepsy identification. Keywords: Classification, EEG, Epilepsy, Feature extraction, Machine learning, Time–frequency Introduction According to Epilepsy Action Australia, circa 65 million people at the world level has epilepsy, and 80% are living in developing countries [1]. “Seizure” is defined as a paroxysmal malfunction of the neurological activity precipitate due to the immoderate hypersynchronous of the neurons present in the brain [2]. “Epilepsy” is the state of perennial unprovoked seizure attacks [3]. Epilepsy is menacing brain dysfunction, which increases the occurrence risk of other maladies like Dementia, Cardiovascular Disorders, Depression, Sleep Disorder, Migraine, Cognitive Impairment, Mental De-cline (in the chronic condition), Brain tumors, etc. and affect other body parts and Pregnancy as well [4]. Epilepsy can affect anybody irrespective of person’s age, intellect, gender, cultural or social differences whereas it is scrutinized that the prevalence of epilepsy is on the peak during the early stage of childhood and also high in the late stage of life [5]. Sudden Unexpected Death in Epilepsy (SUDEP) *Correspondence: [email protected] Institute for Sustainable Industries & Liveable Cities, Victoria University, Footscray, Australia © Springer Nature Switzerland AG 2020.
is approximately 24 fold more in an epileptic patient as compared to the general [6]. Epilepsy is diagnosed with the help of an Electroencephalogram (EEG), which tracks the electrical activity in the brain and records the brain wave pattern [7–9]. In the cases of having un-certainty in the diagnosis of epilepsy or the reason behind paroxysmal spells is un-clear, then EEG recording is contemplated as the most accurate and promising diagnosis test. Finding traces of epilepsy throug
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