Wearable Epileptic Seizure Prediction System Based on Machine Learning Techniques Using ECG, PPG and EEG Signals

Epileptic seizures have a great impact on the quality of life of people who suffer from them and further limit their independence. For this reason, a device that would be able to monitor patients’ health status and warn them for a possible epileptic seizure would improve their quality of life. With...

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Detalles Bibliográficos
Autores principales: Zambrana-Vinaroz, David, Vicente-Samper, Jose Maria, Manrique-Cordoba, Juliana, Sabater-Navarro, Jose Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736525/
https://www.ncbi.nlm.nih.gov/pubmed/36502071
http://dx.doi.org/10.3390/s22239372

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736525/
https://www.ncbi.nlm.nih.gov/pubmed/36502071
http://dx.doi.org/10.3390/s22239372

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