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This article presents a wearable device for predicting epileptic seizures using machine learning techniques on ECG, PPG, and ear EEG signals. The device has been tested in a clinical environment and achieved a prediction accuracy of 91.5% and a sensitivity of 85.4%, aiming to improve the quality of life for individuals with epilepsy by providing timely warnings of impending seizures. The study highlights the need for reliable seizure detection technologies and proposes a novel approach that combines multipl

Author

Pooja Muralidharan

Language

EN