Optimizing Electrode Configurations for Wearable EEG Seizure Detection Using Machine Learning

Optimizing Electrode Configurations for Wearable EEG Seizure Detection Using Machine Learning

Epilepsy, a prevalent neurological disorder, profoundly affects patients’ quality of life due to the unpredictable nature of seizures. The development of a reliable and user-friendly wearable EEG system capable of detecting and predicting seizures has the potential to revolutionize epilepsy care. Ho...

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Bibliographic Details
Main Authors: Hagar Gelbard-Sagiv, Snir Pardo, Nir Getter, Miriam Guendelman, Felix Benninger, Dror Kraus, Oren Shriki, Shay Ben-Sasson
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
seizure detection
wearable EEG
machine learning
continuous EEG monitoring
electrode configuration optimization
computational efficient
Online Access:https://www.mdpi.com/1424-8220/23/13/5805

Internet

https://www.mdpi.com/1424-8220/23/13/5805

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