General and patient-specific seizure classification using deep neural networks
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10470-023-02153-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8030 |
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oai:localhost:PNK-80302023-04-18T03:29:12Z General and patient-specific seizure classification using deep neural networks Yasmin M., Massoud Mennatallah, Abdelzaher Levin, Kuhlmann EEG TCNNs CC BY Seizure prediction algorithms have been central in the field of data analysis for the improvement of epileptic patients’ lives. The most recent advancements of which include the use of deep neural networks to present an optimized, accurate seizure prediction system. This work puts forth deep learning methods to automate the process of epileptic seizure detection with electroencephalogram (EEG) signals as input; both a patient-specific and general approach are followed. EEG signals are time structure series motivating the use of sequence algorithms such as temporal convolutional neural networks (TCNNs), and long short-term memory networks. We then compare this methodology to other prior pre-implemented structures, including our previous work for seizure prediction using machine learning approaches support vector machine and random under-sampling boost. 2023-04-18T03:29:12Z 2023-04-18T03:29:12Z 2023 Book https://link.springer.com/article/10.1007/s10470-023-02153-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8030 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
EEG TCNNs |
| spellingShingle |
EEG TCNNs Yasmin M., Massoud Mennatallah, Abdelzaher Levin, Kuhlmann General and patient-specific seizure classification using deep neural networks |
| description |
CC BY |
| format |
Book |
| author |
Yasmin M., Massoud Mennatallah, Abdelzaher Levin, Kuhlmann |
| author_facet |
Yasmin M., Massoud Mennatallah, Abdelzaher Levin, Kuhlmann |
| author_sort |
Yasmin M., Massoud |
| title |
General and patient-specific seizure classification using deep neural networks |
| title_short |
General and patient-specific seizure classification using deep neural networks |
| title_full |
General and patient-specific seizure classification using deep neural networks |
| title_fullStr |
General and patient-specific seizure classification using deep neural networks |
| title_full_unstemmed |
General and patient-specific seizure classification using deep neural networks |
| title_sort |
general and patient-specific seizure classification using deep neural networks |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s10470-023-02153-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8030 |
| _version_ |
1763543256863342592 |
| score |
8.891145 |