Deep learning for EEG data analysis
Electroencephalogram (EEG) is a multi-dimensional time-series brain signal that is highly information packed. While an EEG has high potential to serve in medicine (e.g. disease diagnosis, prognosis, pre-disease risk identification), psycho-physiology (e.g. mood classification, stress monitoring, ale...
| Main Author: | Cheah, Kit Hwa |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/2830/ http://eprints.utar.edu.my/2830/1/EE%2D2018%2D1302129%2D1.pdf |
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