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Title
A Study of EEG Feature Complexity in Epileptic Seizure Prediction
Authors
Keywords
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Journal
Applied Sciences-Basel
Volume 11, Issue 4, Pages 1579
Publisher
MDPI AG
Online
2021-02-12
DOI
10.3390/app11041579
References
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- Genetic investigation of sudden unexpected death in epilepsy cohort by panel target resequencing
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- Fractional Delay Time Embedding of EEG Signals into High Dimensional Phase Space
- (2014) R. Damasevicius et al. Elektronika Ir Elektrotechnika
- Genetic and forensic implications in epilepsy and cardiac arrhythmias: a case series
- (2014) Sara Partemi et al. INTERNATIONAL JOURNAL OF LEGAL MEDICINE
- Predicting Epileptic Seizures in Advance
- (2014) Negin Moghim et al. PLoS One
- Preprocessing effects of 22 linear univariate features on the performance of seizure prediction methods
- (2013) Jalil Rasekhi et al. JOURNAL OF NEUROSCIENCE METHODS
- Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study
- (2013) Mark J Cook et al. LANCET NEUROLOGY
- Seizure prediction with spectral power of EEG using cost-sensitive support vector machines
- (2011) Yun Park et al. EPILEPSIA
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- (2011) C.A. Teixeira et al. JOURNAL OF NEUROSCIENCE METHODS
- Seizure prediction: Any better than chance?
- (2009) Ralph G. Andrzejak et al. CLINICAL NEUROPHYSIOLOGY
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