Abstract
Epilepsy affects 50 million people worldwide and is one of the most common serious neurological disorders. Seizure detection and classification is a valuable tool for diagnosing and maintaining the condition. An automated classification algorithm will allow for accurate diagnosis. Utilising the Temple University Hospital (TUH) Seizure Corpus, six seizure types are compared; absence, complex partial, myoclonic, simple partial, tonic and tonicclonic models. This study proposes a method that utilises unique features with a novel parallel classifier - Parallel Genetic Naive Bayes (NB) Seizure Classifier (PGNBSC). The PGNBSC algorithm searches through the features and by reclassifying the data each time, the algorithm will create a matrix for optimum search criteria. Ictal states from the EEGs are segmented into 1.8 s windows, where the epochs are then further decomposed into 13 different features from the first intrinsic mode function (IMF). The features are compared using an original NB classifier in the first model. This is improved upon in a second model by using a genetic algorithm (Binary Grey Wolf Optimisation, Option 1) with a NB classifier. The third model uses a combination of the simple partial and complex partial seizures to provide the highest classification accuracy for each of the six seizures amongst the three models (20%, 53%, and 85% for first, second, and third model, respectively).
Original language | English |
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Title of host publication | Proceedings of 2022 IEEE Mediterranean Electrotechnical Conference, IEEE MELECON 2022 |
Editors | Gianfranco Chicco, Daniela Proto |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 430-435 |
Number of pages | 6 |
ISBN (Electronic) | 9781665442800 |
ISBN (Print) | 9781665442817 |
DOIs | |
Publication status | Published - 2022 |
Event | IEEE Mediterranean Electrotechnical Conference (MELECON) 2022 - Palermo, Italy Duration: 14 Jun 2022 → 16 Jun 2022 Conference number: 21st https://ieeexplore.ieee.org/xpl/conhome/9842860/proceeding (Proceedings) |
Conference
Conference | IEEE Mediterranean Electrotechnical Conference (MELECON) 2022 |
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Abbreviated title | MELECON 2022 |
Country/Territory | Italy |
City | Palermo |
Period | 14/06/22 → 16/06/22 |
Internet address |
Keywords
- Classification
- Electroencephalography (EEG)
- Epileptic Seizure
- Genetic Algorithm
- Naive Bayes