Robust Deep Network with Maximum Correntropy Criterion for Seizure Detection
Effective seizure detection from long-term EEG is highly important for seizure diagnosis. Existing methods usually design the feature and classifier individually, while little work has been done for the simultaneous optimization of the two parts. This work proposes a deep network to jointly learn a...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106070/ |