Epileptic Seizure Prediction from EEG Signals Using Unsupervised Learning and a Polling-Based Decision Process-Reference-Cited by-同舟云学术

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Epileptic Seizure Prediction from EEG Signals Using Unsupervised Learning and a Polling-Based Decision Process

Published:2018 Issue: Volume: Page:117-126
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2018
language:
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Author:

Kitano Lucas Aparecido Silva,Sousa Miguel Angelo Abreu,Santos Sara Dereste,Pires Ricardo,Thome-Souza Sigride,Campo Alexandre Brincalepe

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01421-6_12

Reference19 articles.

1. Alawieh, H., Hammoud, H., Haidar, M., Nassralla, M.H., El-Hajj, A.M., Dawy, Z.: Patient-aware adaptive ngram-based algorithm for epileptic seizure prediction using EEG signals. In: 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1–6 (2016)

2. Chisci, L., et al.: Real-time epileptic seizure prediction using AR models and support vector machines. IEEE Trans. Biomed. Eng. 57(5), 1124–1132 (2010)

3. D’Alessandro, M., Esteller, R., Vachtsevanos, G., Hinson, A., Echauz, J., Litt, B.: Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients. IEEE Trans. Biomed. Eng. 50(5), 603–615 (2003)

4. Elgohary, S., Eldawlatly, S., Khalil, M.I.: Epileptic seizure prediction using zero-crossings analysis of EEG wavelet detail coefficients. In: 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp. 1–6 (2016)

5. Haykin, S.O.: Neural Networks and Learning Machines, vol. 3. Pearson, Upper Saddle River (2009)

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1. Identification of presence of epilepsy using predictive analytics;AIP Conference Proceedings;2024

2. Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients;Applied Sciences;2023-03-28

3. Efficient Seizure Prediction and EEG Channel Selection Based on Multi-Objective Optimization;IEEE Access;2023

4. A Fractal based Machine Learning Method for Automatic Detection of Epileptic Seizures using EEG;2022 International Conference on Engineering and Emerging Technologies (ICEET);2022-10-27

5. Low-Cost Internet of Things Platform for Epilepsy Monitoring Using Real-Time Electroencephalogram;International Journal of Ambient Computing and Intelligence;2022-06-29

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