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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"

Research datakeyboard_double_arrow_right Dataset 01 Feb 2022Publisher:Zenodo

Authors: Panagiotopoulou, Mariella; Papasavvas, Christoforos A.; Schroeder, Gabrielle M.; Thomas, Rhys; Taylor, Peter N.; Wang, Yujiang;

doi: 10.5281/zenodo.5798022 , 10.5281/zenodo.5798021

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"

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Abstract

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.

Related Organizations

Newcastle University
United Kingdom

Keywords

neuroscience, circadian rhythm, band power, epilepsy, EEG, seizures

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