Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Imene Jemal"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
BackgroundImbalanced datasets pose challenges for developing accurate seizure detection systems based on electroencephalogram (EEG) data. Generative AI techniques may help augment minority class data to facilitate automatic epileptic seizure detectio
Externí odkaz:
https://doaj.org/article/6df73285d2f84d80a10c0b7116a38b94
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
The evaluation of performance using competencies within a structured framework holds significant importance across various professional domains, particularly in roles like project manager. Typically, this assessment process, overseen by senior evalua
Externí odkaz:
https://doaj.org/article/5fc0090c7b214a6d932985ae27dfe7c3
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
The ability to predict the occurrence of an epileptic seizure is a safeguard against patient injury and health complications. However, a major challenge in seizure prediction arises from the significant variability observed in patient data. Common pa
Externí odkaz:
https://doaj.org/article/7230a94cd5124671bdb3399c58a85362
Publikováno v:
IEEE Access, Vol 10, Pp 60141-60150 (2022)
Deep learning has served pattern classification in many applications, with a performance which often well exceeds that of other machine learning paradigms. Yet, in general, deep learning has used computational architectures built, albeit partially, b
Externí odkaz:
https://doaj.org/article/88a9b5015dcb48b69f5d45b8afcda13d
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4181 (2022)
Monitoring patients at risk of epileptic seizure is critical for optimal treatment and ensuing the reduction of seizure risk and complications. In general, seizure detection is done manually in hospitals and involves time-consuming visual inspection
Externí odkaz:
https://doaj.org/article/6efe8267e5ba44a7b238fc3b5ae8794f
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1579 (2021)
The purpose of this study is (1) to provide EEG feature complexity analysis in seizure prediction by inter-ictal and pre-ital data classification and, (2) to assess the between-subject variability of the considered features. In the past several decad
Externí odkaz:
https://doaj.org/article/edf31c7348624df59b22d36b584ce8d5
For several decades, the detection of epileptic seizures has been an active research topic. The performance of current patient-specific algorithms is satisfactory. However, due to significant variability of EEG data between patients, cross-subject se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9463ccea19b811b7f28b7cc3a9724ffb
https://doi.org/10.3233/faia210389
https://doi.org/10.3233/faia210389
Publikováno v:
Bioengineering and Biomedical Signal and Image Processing ISBN: 9783030881627
BIOMESIP
BIOMESIP
Epileptic seizures are caused by abnormal electrical activity of brain cells, frequently accompanied by a short-lived loss of control or awareness. Epileptic seizures differ depending on their origin in the brain. They can be categorized as either fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff8a7340f5aca423383ba092052a7ed4
https://doi.org/10.1007/978-3-030-88163-4_6
https://doi.org/10.1007/978-3-030-88163-4_6