Patient-specific processed data, code and visualisations for "Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions"
Creators
- 1. Newcastle University, School of Computing Newcastle upon Tyne, England, UK
- 2. Newcastle University, School of Computing Newcastle upon Tyne, Tyne and Wear, UK
- 3. Newcastle University, Medical School Newcastle upon Tyne, Tyne and Wear, UK
- 4. Newcastle University, School of Computing Newcastle upon Tyne, United Kingdom, UK
Description
Processed data and code for reproducing the main results and figures of the paper "Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions".
We analysed publicly available data from subjects with drug-resistant focal epilepsy. A total of 2656 hours of long-term intracranial electroencephalography (iEEG) from 18 subjects was obtained using the "The SWEC-ETHZ iEEG Database and Algorithms" (available at http://ieeg-swez.ethz.ch) (Burrello et al., 2019).
Reference
A. Burrello, L. Cavigelli, K. Schindler, L. Benini, A. Rahimi, ‘‘Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms’’ in proceedings of the ACM/IEEE Design, Automation, and Test in Europe Conference (DATE), Florence, Italy, March 25-29, 2019.
Files
Fluctuations_in_EEG_band_power_explain_diversity_in seizure evolutions_Code_V1.zip
Files
(3.8 GB)
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