Dec 21, 2018 · The research focuses on analysis of ECG and EEG signals applying a deep learning technique to study early prediction of epileptic seizure.
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The research focuses on analysis of ECG and EEG signals applying a deep learning technique to study early prediction of epileptic seizure. Signal processing ...
Machine learning (ML) approaches can be used for seizure predictions. In particular, these approaches can be used for time-series forecasting, using diaries ...
Nowadays, modern computational tools, machine learning, and deep learning methods have been used to predict seizures using EEG. However, EEG signals may get ...
Mar 7, 2024 · With this study, we aimed to develop methodologies capable of forecasting epileptic seizures and explore possible improvements compared to ...
Jul 15, 2024 · This study presents a patient-specific seizure prediction algorithm applied to diverse databases (EPILEPSIAE, CHB-MIT, AES, and Epilepsy ...
This elaborate feature space helps the predictor learn better to enhance the seizure prediction. Additionally, the predictor is optimized using a novel hybrid ...
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Feb 16, 2022 · In this research work, we propose a method for predicting epileptic seizures using deep learning models. We propose five models: 1-CNN, 2-CNN, ...
Electroencephalogram (EEG) signals are utilized to predict epileptic seizures by using machine learning algorithms and complex computational methodologies.
The challenge to predict seizures using modern machine learning algorithms and computing resources would be a boon to a person with epilepsy and its caregivers.