Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods
Epilepsy is a neurological disorder in which involuntary contractions, sensory abnormalities, and changes occur as a result of abrupt and uncontrolled discharges in the neurons in the brain, which disrupt the systems regulated by the brain. In epilepsy, abnormal electrical impulses from cells in var...
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| Format: | Article |
| Language: | English |
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Gazi University
2024-03-01
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| Series: | Gazi Üniversitesi Fen Bilimleri Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/pub/gujsc/issue/83732/1416435 |
| _version_ | 1797205555871219712 |
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| author | Ali Öter |
| author_facet | Ali Öter |
| author_sort | Ali Öter |
| collection | DOAJ |
| description | Epilepsy is a neurological disorder in which involuntary contractions, sensory abnormalities, and changes occur as a result of abrupt and uncontrolled discharges in the neurons in the brain, which disrupt the systems regulated by the brain. In epilepsy, abnormal electrical impulses from cells in various brain areas are noticed. The accurate interpretation of these electrical impulses is critical in the illness diagnosis. This study aims to use different machine-learning algorithms to diagnose epileptic seizures. The frequency components of EEG data were extracted using parametric approaches. This feature extraction approach was fed into machine learning classification algorithms, including Artificial Neural Network (ANN), Gradient Boosting, and Random Forest. The ANN classifier was shown to have the most significant test performance in this investigation, with roughly 97% accuracy and a 91% F1 score in recognizing epileptic episodes. The Gradient Boosting classifier, on the other hand, performed similarly to the ANN, with 96% accuracy and a 93% F1 score. |
| first_indexed | 2024-04-24T08:52:59Z |
| format | Article |
| id | doaj.art-219ea8a695a34771b9d8fc4fb32dfc77 |
| institution | Directory Open Access Journal |
| issn | 2147-9526 |
| language | English |
| last_indexed | 2024-04-24T08:52:59Z |
| publishDate | 2024-03-01 |
| publisher | Gazi University |
| record_format | Article |
| series | Gazi Üniversitesi Fen Bilimleri Dergisi |
| spelling | doaj.art-219ea8a695a34771b9d8fc4fb32dfc772024-04-16T08:56:48ZengGazi UniversityGazi Üniversitesi Fen Bilimleri Dergisi2147-95262024-03-01121257266https://doi.org/10.29109/gujsc.1416435 Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence MethodsAli Öter 0https://orcid.org/0000-0002-9546-0602Kahramanmaraş Sütçü İmam ÜniversitesiEpilepsy is a neurological disorder in which involuntary contractions, sensory abnormalities, and changes occur as a result of abrupt and uncontrolled discharges in the neurons in the brain, which disrupt the systems regulated by the brain. In epilepsy, abnormal electrical impulses from cells in various brain areas are noticed. The accurate interpretation of these electrical impulses is critical in the illness diagnosis. This study aims to use different machine-learning algorithms to diagnose epileptic seizures. The frequency components of EEG data were extracted using parametric approaches. This feature extraction approach was fed into machine learning classification algorithms, including Artificial Neural Network (ANN), Gradient Boosting, and Random Forest. The ANN classifier was shown to have the most significant test performance in this investigation, with roughly 97% accuracy and a 91% F1 score in recognizing epileptic episodes. The Gradient Boosting classifier, on the other hand, performed similarly to the ANN, with 96% accuracy and a 93% F1 score.https://dergipark.org.tr/tr/pub/gujsc/issue/83732/1416435epilepsyeegmachine learningepileptic seizureann |
| spellingShingle | Ali Öter Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods Gazi Üniversitesi Fen Bilimleri Dergisi epilepsy eeg machine learning epileptic seizure ann |
| title | Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods |
| title_full | Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods |
| title_fullStr | Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods |
| title_full_unstemmed | Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods |
| title_short | Automatic Detection of Epileptic Seizures from EEG Signals Using Artificial Intelligence Methods |
| title_sort | automatic detection of epileptic seizures from eeg signals using artificial intelligence methods |
| topic | epilepsy eeg machine learning epileptic seizure ann |
| url | https://dergipark.org.tr/tr/pub/gujsc/issue/83732/1416435 |
| work_keys_str_mv | AT alioter automaticdetectionofepilepticseizuresfromeegsignalsusingartificialintelligencemethods |