A statistical framework for EEG channel selection and seizure prediction on mobile
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-09565-7
Abstract: This paper presents a patient-specific approach for electroencephalography (EEG) channel selection and seizure prediction based on statistical probability distributions of the EEG signals. This approach has two main phases; training and testing phases. In the… read more here.
Keywords: eeg channel; channel selection; seizure prediction; selection seizure ... See more keywords
Seizure prediction with cross-higher-order spectral analysis of EEG signals
Sign Up to like & getrecommendations! Published in 2020 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01615-0
Abstract: Epilepsy is a neurological disorder that happens because of the propagation of abnormal signals produced by clusters of neurons in the brain. The majority of those with epileptic seizures can be treated by drug therapies… read more here.
Keywords: cross higher; higher order; seizure prediction; seizure ... See more keywords
Learning EEG synchronization patterns for epileptic seizure prediction using bag-of-wave features
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-1000-3
Abstract: Epileptic seizure prediction has the potential to promote epilepsy care and treatment. However, the seizure prediction accuracy does not satisfy the application requirements. In this paper, a novel framework for seizure prediction is proposed by… read more here.
Keywords: seizure prediction; epileptic seizure; synchronization patterns; prediction ... See more keywords
Mean amplitude spectrum based epileptic state classification for seizure prediction using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01220-6
Abstract: An increasing number of algorithms have been proposed for epileptic seizure prediction in recent years. But most of them are based on a partition of the electroencephalograph (EEG) signal of an epileptic patient into preictal,… read more here.
Keywords: epileptic state; seizure prediction; state classification; state ... See more keywords
Prediction of epileptic seizures from EEG using analysis of ictal rules on Poincaré plane
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2017.04.001
Abstract: BACKGROUND AND OBJECTIVE Epilepsy is a neurological disorder that causes recurrent and abrupt seizures which makes the patients insecure. Predicting seizures can reduce the burdens of this disorder. METHODS A new approach in seizure prediction… read more here.
Keywords: prediction epileptic; seizures eeg; seizure prediction; epileptic seizures ... See more keywords
Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System
Sign Up to like & getrecommendations! Published in 2018 at "EBioMedicine"
DOI: 10.1016/j.ebiom.2017.11.032
Abstract: Background Seizure prediction can increase independence and allow preventative treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction system that is accurate, fully automated, patient-specific, and tunable to an individual's needs.… read more here.
Keywords: prediction system; system; deep learning; seizure prediction ... See more keywords
A novel consistency-based training strategy for seizure prediction
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2022.109557
Abstract: BACKGROUND Early prediction of epilepsy seizures can warn the patients to take precautions and improve their lives significantly. In recent years, deep learning has become increasingly predominant in seizure prediction for its outstanding performance. With… read more here.
Keywords: strategy; prediction; model; consistency ... See more keywords
Machine learning seizure prediction: one problematic but accepted practice
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acae09
Abstract: Objective. Epilepsy is one of the most common neurological disorders and can have a devastating effect on a person’s quality of life. As such, the search for markers which indicate an upcoming seizure is a… read more here.
Keywords: seizure; learning seizure; machine learning; prediction ... See more keywords
The circadian profile of epilepsy improves seizure forecasting
Sign Up to like & getrecommendations! Published in 2017 at "Brain"
DOI: 10.1093/brain/awx173
Abstract: It is now established that epilepsy is characterized by periodic dynamics that increase seizure likelihood at certain times of day, and which are highly patient-specific. However, these dynamics are not typically incorporated into seizure prediction… read more here.
Keywords: seizure forecasting; epilepsy; prediction algorithms; seizure prediction ... See more keywords
Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2955285
Abstract: The unpredictability of seizures is often considered by patients to be the most problematic aspect of epilepsy, so this work aims to develop an accurate epilepsy seizure predictor, making it possible to enable devices to… read more here.
Keywords: seizure prediction; multi view; seizure; prediction ... See more keywords
Pediatric Seizure Prediction in Scalp EEG Using a Multi-Scale Neural Network With Dilated Convolutions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Translational Engineering in Health and Medicine"
DOI: 10.1109/jtehm.2022.3144037
Abstract: Objective: Epileptic seizure prediction based on scalp electroencephalogram (EEG) is of great significance for improving the quality of life of patients with epilepsy. In recent years, a number of studies based on deep learning methods… read more here.
Keywords: neural network; multi scale; prediction; eeg ... See more keywords