Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection
The Electroencephalogram (EEG) pattern of seizure activities is highly individual-dependent and requires experienced specialists to annotate seizure events. It is clinically time-consuming and error-prone to identify seizure activities by visually scanning EEG signals. Since EEG data are heavily und...
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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
IEEE,
2023-01-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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