Abstract
Seizure prediction based on features extracted from electrocorticogram recordings can be achieved with both high selectivity and specificity. This chapter will provide a review of the basics for developing a seizure prediction algorithm, utilizing feature selection, classification training, evaluation, and subsequent optimization.
Original language | English (US) |
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Title of host publication | Engineering in Medicine |
Subtitle of host publication | Advances and Challenges |
Publisher | Elsevier |
Pages | 365-378 |
Number of pages | 14 |
ISBN (Electronic) | 9780128130681 |
ISBN (Print) | 9780128135143 |
DOIs | |
State | Published - Jan 1 2018 |
Bibliographical note
Publisher Copyright:© 2019 Elsevier Inc. All rights reserved.
Keywords
- Epilepsy
- Forecasting
- Machine learning
- Prediction
- Seizures