Deep Learning-based Seizure Detection and Prediction from EEG Signals.
Sign Up to like & getrecommendations! Published in 2022 at "International journal for numerical methods in biomedical engineering"
DOI: 10.1002/cnm.3573
Abstract: Electroencephalography (EEG) is a tool used for analyzing and diagnosing epilepsy. The manual analysis of EEG must be conducted by highly trained clinicians or neuro-physiologists; a process that is considered to have comparatively low inter-rater… read more here.
Keywords: eeg; seizure detection; prediction; classification ... See more keywords
Risk factors that predict delayed seizure detection on continuous electroencephalogram (cEEG) in a large sample size of critically ill patients
Sign Up to like & getrecommendations! Published in 2021 at "Epilepsia Open"
DOI: 10.1002/epi4.12572
Abstract: Majority of seizures are detected within 24 hours on continuous EEG (cEEG). Some patients have delayed seizure detection after 24 hours. The purpose of this research was to identify risk factors that predict delayed seizure… read more here.
Keywords: ceeg; delayed seizure; risk factors; seizure detection ... See more keywords
Multimodal nocturnal seizure detection: Do we need to adapt algorithms for children?
Sign Up to like & getrecommendations! Published in 2022 at "Epilepsia Open"
DOI: 10.1002/epi4.12618
Abstract: To assess the performance of a multimodal seizure detection device, first tested in adults (sensitivity 86%, PPV 49%), in a pediatric cohort living at home or residential care. read more here.
Keywords: seizure; nocturnal seizure; multimodal nocturnal; seizure detection ... See more keywords
EEG datasets for seizure detection and prediction— A review
Sign Up to like & getrecommendations! Published in 2023 at "Epilepsia Open"
DOI: 10.1002/epi4.12704
Abstract: Electroencephalogram (EEG) datasets from epilepsy patients have been used to develop seizure detection and prediction algorithms using machine learning (ML) techniques with the aim of implementing the learned model in a device. However, the format… read more here.
Keywords: seizure detection; eeg datasets; publicly available; detection prediction ... See more keywords
Pilot study of a single-channel EEG seizure detection algorithm using machine learning
Sign Up to like & getrecommendations! Published in 2021 at "Child's Nervous System"
DOI: 10.1007/s00381-020-05011-9
Abstract: Seizures are one of the most common emergencies in the neonatal intensive care unit (NICU). They are identified through visual inspection of electroencephalography (EEG) reports and treated by neurophysiologic experts. To support clinical seizure detection,… read more here.
Keywords: detection algorithm; seizure detection; seizure; machine learning ... See more keywords
A novel framework based on biclustering for automatic epileptic seizure detection
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-017-0716-2
Abstract: Automatic epileptic seizure detection based on electroencephalogram is crucial to epilepsy diagnosis and treatment. However, the large numbers of time series make it quite challenging to establish a high performance automatic detection method. Considering different… read more here.
Keywords: automatic epileptic; seizure detection; seizure; framework ... See more keywords
Wearable seizure detection devices in refractory epilepsy
Sign Up to like & getrecommendations! Published in 2020 at "Acta Neurologica Belgica"
DOI: 10.1007/s13760-020-01417-z
Abstract: Epilepsy affects 50 million patients and their caregivers worldwide. Devices that facilitate the detection of seizures can have a large influence on a patient’s quality of life, therapeutic decisions and the conduct of clinical trials with… read more here.
Keywords: epilepsy; detection; wearable seizure; detection devices ... See more keywords
Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier Features
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical and Biological Engineering"
DOI: 10.1007/s40846-016-0214-0
Abstract: Epilepsy is a common neurological disorder that is difficult to treat. Monitoring brain activity using electroencephalography (EEG) has become an important tool for the diagnosis of epilepsy. In this paper, we propose a method for… read more here.
Keywords: seizure detection; seizure; wavelet fourier;
An epileptic seizure detection system based on cepstral analysis and generalized regression neural network
Sign Up to like & getrecommendations! Published in 2018 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2018.01.002
Abstract: Abstract This study introduces a new and effective epileptic seizure detection system based on cepstral analysis utilizing generalized regression neural network for classifying electroencephalogram (EEG) recordings. The EEG recordings are obtained from an open database… read more here.
Keywords: seizure detection; neural network; analysis; cepstral analysis ... See more keywords
Complex-valued distribution entropy and its application for seizure detection
Sign Up to like & getrecommendations! Published in 2020 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2019.10.006
Abstract: Abstract Embedding entropies are powerful indicators in quantifying the complexity of signal, but most of them are only applicable for real-valued signal and the phase information is ignored if the analyzed signal is complex-valued. To… read more here.
Keywords: seizure detection; complex; complex valued; entropy ... See more keywords
T09. Seizure detection in temporal lobe epileptic patients using multi-modal fNIRS/EEG recordings
Sign Up to like & getrecommendations! Published in 2018 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2018.04.010
Abstract: Introduction In recent years, multi-modal approaches have emerged integrating functional near-infrared spectroscopy (fNIRS) with electroencephalography (EEG) to offer dual hemodynamic and electro-potential characterization of a seizure event. Herein, we employ deep learning methods such as… read more here.
Keywords: epileptic patients; seizure detection; multi modal; temporal lobe ... See more keywords