Insufficient evidence to support the clinical diagnosis of an epileptic seizure
Sign Up to like & getrecommendations! Published in 2021 at "Documenta Ophthalmologica"
DOI: 10.1007/s10633-021-09838-8
Abstract: We read the case report entitled ‘‘Seizure triggered by flicker electroretinogram in a patient with no history of epilepsy’’ by Heinrich SP and Agostini H, published in Documenta Ophthalmologica (online first, 23 December 2020) [1].… read more here.
Keywords: epileptic seizure; clinical diagnosis; support clinical; evidence support ... See more keywords
Evaluation of time domain features on detection of epileptic seizure from EEG signals
Sign Up to like & getrecommendations! Published in 2019 at "Health and Technology"
DOI: 10.1007/s12553-019-00363-y
Abstract: In the study of detection of an epileptic seizure using Electroencephalogram (EEG), pattern recognition has been recognised as a valued tool. In this pattern recognition study, the first time the authors have attempted to use… read more here.
Keywords: epileptic seizure; detection epileptic; time; time domain ... 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
Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-02024-9
Abstract: Mobile healthcare is a promising approach. It is realized by using the biomedical implants that are connected to the cloud. A framework for the precise and effective diagnosis of epileptic seizures is designed in this… read more here.
Keywords: event driven; epileptic seizure; processing; mobile healthcare ... 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
Dogs demonstrate the existence of an epileptic seizure odour in humans
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-40721-4
Abstract: Although different studies have shown that diseases such as breast or lung cancer are associated with specific bodily odours, no study has yet tested the possibility that epileptic seizures may be reflected in an olfactory… read more here.
Keywords: epileptic seizure; dogs demonstrate; demonstrate existence; seizure odour ... See more keywords
Epileptic Seizure Detection With Permutation Fuzzy Entropy Using Robust Machine Learning Techniques
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2956865
Abstract: The automatic and accurate determination of the epileptogenic area can assist doctors in presurgical evaluation by providing higher security and quality of life. Visual inspection of electroencephalogram (EEG) signals is expensive, time-consuming and prone to… read more here.
Keywords: seizure detection; entropy; seizure; epileptic seizure ... See more keywords
AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3251105
Abstract: Epilepsy is a neurological condition affecting around 50 million individuals worldwide, reported by the World Health Organization. This is identified as a hypersensitive disease by clinical associations. The unique characteristics of Electroencephalography have proven to… read more here.
Keywords: epileptic seizure; seizure detection; detection prediction;
Epileptic Seizure Classification of EEGs Using Time–Frequency Analysis Based Multiscale Radial Basis Functions
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2017.2654479
Abstract: The automatic detection of epileptic seizures from electroencephalography (EEG) signals is crucial for the localization and classification of epileptic seizure activity. However, seizure processes are typically dynamic and nonstationary, and thus, distinguishing rhythmic discharges from… read more here.
Keywords: epileptic seizure; seizure; classification; time frequency ... See more keywords
A Hybrid Deep Learning Approach for Epileptic Seizure Detection in EEG signals.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3265983
Abstract: Early detection and proper treatment of epilepsy is essential and meaningful to those who suffer from this disease. The adoption of deep learning (DL) techniques for automated epileptic seizure detection using electroencephalography (EEG) signals has… read more here.
Keywords: epileptic seizure; seizure detection; seizure; eeg signals ... See more keywords
An Edge-Fog Computing-Enabled Lossless EEG Data Compression With Epileptic Seizure Detection in IoMT Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3143704
Abstract: The need to improve smart health systems to monitor the health situation of patients has grown as a result of the spread of epidemic diseases, the ageing of the population, the increase in the number… read more here.
Keywords: epileptic seizure; eeg data; tex math; inline formula ... See more keywords