Enhancing EEG signals classification using LSTM-CNN architecture
Epilepsy is a condition that disrupts normal brain function and sometimes leads to seizures, unusual sensations, and temporary loss of awareness. Electroencephalograph (EEG) records are commonly used for diagnosing epilepsy, but traditional analysis is subjective and prone to misclassification. Prev...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
John Wiley & Sons
2023
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/108809/1/107096_Enhancing%20EEG%20signals.pdf http://irep.iium.edu.my/108809/7/Engineering%20Reports%20-%202023%20-%20Omar%20-%20Enhancing%20EEG%20signals%20classification%20using%20LSTM%E2%80%90CNN%20architecture.pdf http://irep.iium.edu.my/108809/ https://onlinelibrary.wiley.com/doi/10.1002/eng2.12827 |
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http://irep.iium.edu.my/108809/1/107096_Enhancing%20EEG%20signals.pdfhttp://irep.iium.edu.my/108809/7/Engineering%20Reports%20-%202023%20-%20Omar%20-%20Enhancing%20EEG%20signals%20classification%20using%20LSTM%E2%80%90CNN%20architecture.pdf
http://irep.iium.edu.my/108809/
https://onlinelibrary.wiley.com/doi/10.1002/eng2.12827
