Diagnosis of Epileptic seizures and Hypoxic-ischemic encephalopathy using Artificial Intelligence based on EEG signal: A review
dc.contributor.author | Kadhim, Ezzaddin | |
dc.contributor.author | Al-Jumaili, Saif | |
dc.contributor.author | Uçan, Osman Nuri | |
dc.date.accessioned | 2025-02-28T11:26:05Z | |
dc.date.available | 2025-02-28T11:26:05Z | |
dc.date.issued | 2024 | |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü | |
dc.description.abstract | The brain is the nucleus for cognition and controls voluntary and involuntary activities inside the human body. Any neurological illness, regardless of its cause, will impair the brain's functionality. Certain neurological illnesses manifest symptoms as seizures. Epilepsy and Hypoxic-ischemic Encephalopathy (HIE) are the most similar disorders in symptoms, but at the neurological level, they are two completely different disorders. This difference is measured at the level of neural activity, as Electroencephalography (EEG) is one of the most distinctive tools used to measure neural activity in the brain. Experts use EEG to diagnose disorders through recorded brain activity, including seizures, but the diagnosis process consumes much time and effort. Adopting Artificial Intelligence (AI) techniques to extract the patterns of brain illnesses is a more efficient process for diagnosing disorders because it depends on computing and, thus, has high accuracy in diagnosing brain illnesses. In this research, we reviewed the most effective stages and methods adopted by researchers to diagnose brain disorders based on EEG and artificial intelligence techniques. | |
dc.identifier.citation | Kadhim, E., Al-Jumaili, S., & Uçan, O. N. (2024, December). Diagnosis of Epileptic seizures and Hypoxic-ischemic encephalopathy using Artificial Intelligence based on EEG signal: A review. In 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS) (pp. 1-6). IEEE. | |
dc.identifier.doi | 10.1109/ISAS64331.2024.10845267 | |
dc.identifier.isbn | 9798331540104 | |
dc.identifier.scopus | 2-s2.0-85218062968 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12939/5719 | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Kadhim, Ezzaddin | |
dc.institutionauthor | Al-Jumaili, Saif | |
dc.institutionauthor | Uçan, Osman Nuri | |
dc.institutionauthorid | 0000-0001-6578-1969 | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | 8th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2024 - Proceedings | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Öğrenci | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | AI | |
dc.subject | EEG | |
dc.subject | Epilepsy | |
dc.subject | HIE | |
dc.subject | Seizure | |
dc.title | Diagnosis of Epileptic seizures and Hypoxic-ischemic encephalopathy using Artificial Intelligence based on EEG signal: A review | |
dc.type | Conference Object |
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