https://github.com/angusg/edas
Predict seizures! Bivariate features from intracranial EEG classified with libSVM/GNU Octave
https://github.com/angusg/edas
Last synced: about 1 year ago
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Predict seizures! Bivariate features from intracranial EEG classified with libSVM/GNU Octave
- Host: GitHub
- URL: https://github.com/angusg/edas
- Owner: AngusG
- Created: 2015-03-24T02:57:37.000Z (about 11 years ago)
- Default Branch: master
- Last Pushed: 2015-03-26T03:16:25.000Z (about 11 years ago)
- Last Synced: 2025-02-10T02:27:42.562Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 152 KB
- Stars: 0
- Watchers: 3
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# EDAS - Epileptic Driver Assistance System
Run one of
- ppmat.py /* preictal */
- ipmat.py /* interictal */
- tmat.py /* test */
saves to data/"segment_type""segment_number".txt
In load.m, edit fields segment and type
- Run load.m in Ocatve
- Run ep.m to calculate cross correlations and save to file.
- Run savemovie.m to transpose and save as csv
- Run ./convert svmdata/test.txt > svmdata/svmtext.txt