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

Simple item page
dc.contributor.authorSaminu, Sani
dc.contributor.authorGuizhi, Xu
dc.contributor.authorZhang, Shuai
dc.contributor.authorIsselmou, Abd El Kader
dc.contributor.authorJabire, Adamu Halilu
dc.contributor.authorAhmed, Yusuf Kola
dc.contributor.authorKaraye, Ibrahim Abdullahi
dc.contributor.authorAhmad, Isah Salim
dc.date.accessioned2022-01-10T11:26:52Z
dc.date.available2022-01-10T11:26:52Z
dc.date.issued2021-05-20
dc.description.abstractThe benefits of early detection and classification of epileptic seizures in analysis, monitoring and diagnosis for the realization and actualization of computer-aided devices and recent internet of medical things (IoMT) devices can never be overemphasized. The success of these applications largely depends on the accuracy of the detection and classification techniques employed. Several methods have been investigated, proposed and developed over the years. This paper investigates various seizure detection algorithms and classifications in the last decade, including conventional techniques and recent deep learning algorithms. It also discusses epileptiform detection as one of the steps towards advanced diagnoses of disorders of consciousness (DOCs) and their understanding. A performance comparison was carried out on the different algorithms investigated, and their advantages and disadvantages were explored. From our survey, much attention has recently been paid to exploring the efficacy of deep learning algorithms in seizure detection and classification, which are employed in other areas such as image processing and classification. Hybrid deep learning has also been explored, with CNN-RNN being the most popular.en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/7306
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.subjectepileptic seizureen_US
dc.subjectEEGen_US
dc.subjectwaveleten_US
dc.subjectstatistical parametersen_US
dc.subjectSVMen_US
dc.subjectrandom foresten_US
dc.subjectdeep learningen_US
dc.subjectdisorders of consciousnessen_US
dc.titleA Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signalen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
23J_SS_brainsciMDPI_2021_A Recent Investigation on Detection and Classification of Epileptic Seizure Technique.pdf
Size:
2.81 MB
Format:
Adobe Portable Document Format
Description:
Main article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections