Graph Theoretical Analysis of Interictal EEG Data in Epilepsy Patients during Epileptiform Discharge and Non-discharge
Author:
Affiliation:
1. University of Hyogo, Graduate school of Applied Informatics
Publisher
Japan Society of Kansei Engineering
Link
https://www.jstage.jst.go.jp/article/ijae/20/3/20_IJAE-D-20-00026/_pdf
Reference49 articles.
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2. 2. Douw, L., et al.; Quantitative EEG as a predictive biomarker for Parkinson disease dementia, Neurology, 77(2), pp.118-124, 2011.
3. 3. Smith, S. M. J.; EEG in the diagnosis, classification, and management of patients with epilepsy, Journal of Neurology, Neurosurgery & Psychiatry, 76(II), pp.ii2-ii7, 2005.
4. 4. Pillai, J., and Sperling, M. R.; Interictal EEG and the diagnosis of epilepsy, Epilepsia, 47(1), pp.14-22, 2006.
5. 5. Faust, O., et al.; Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis, Seizure, 26, pp.56-64, 2015.
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