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Epilepsy detection with artificial neural network based on as-fabricated neuromorphic chip platform
- Source :
- AIP Advances, Vol 12, Iss 3, Pp 035106-035106-6 (2022)
- Publication Year :
- 2022
- Publisher :
- AIP Publishing LLC, 2022.
-
Abstract
- Epilepsy is a serious neurological condition caused by a sudden abnormality of brain neurons. An accurate epilepsy detection based on electroencephalogram (EEG) signals can provide vital information for diagnosis and treatment. In this study, we propose a lightweight automatic epilepsy detection system with artificial neural network based on our as-fabricated neuromorphic chip. The proposed system utilizes a neural network model to achieve high-accuracy detection without the need for epilepsy-related prior knowledge. The model uses a filter module and a convolutional neural network to preprocess the raw EEG signal and uses a long short-term memory recurrent neural network and a fully connected network as the classifier. In the examination, the classification accuracy of the normal cases and seizures approaches 99.10%, and the accuracy of the normal cases, and interictal and seizure cases can reach 94.46%. This design provides possible epilepsy detection in wearable or portable devices.
Details
- Language :
- English
- ISSN :
- 21583226
- Volume :
- 12
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- AIP Advances
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2d81a54e6a4f418280e48430beeb8825
- Document Type :
- article
- Full Text :
- https://doi.org/10.1063/5.0075761