Six-center assessment of CNN-transformer with belief matching loss for patient-independent seizure detection in EEG
Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by visual inspection. This process is often time-consuming, especially for EEG recordings that last hours or days. To expedite the process, a reliable, automated, and patient-independent seizure detector is essentia...
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Main Authors: | Peh, Wei Yan, Thangavel, Prasanth, Yao, Yuanyuan, Thomas, John, Tan, Yee-Leng, Dauwels, Justin |
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Other Authors: | Interdisciplinary Graduate School (IGS) |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/169959 |
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Institution: | Nanyang Technological University |
Language: | English |
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