Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Fatma Krikid"'
Multi-Classification of epileptic High Frequency Oscillations using a Time-Frequency image-based CNN
Publikováno v:
19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022
19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022, May 2022, Sétif, Algeria. pp.663-667, ⟨10.1109/SSD54932.2022.9955931⟩
19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022, May 2022, Sétif, Algeria. pp.663-667, ⟨10.1109/SSD54932.2022.9955931⟩
International audience; High Frequency Oscillations (HFOs) in intracranial ElectroEncephaloGraphic (iEEG) signals are considered as promising biomarkers for localizing the epileptogenic zone. Visual marking of these particular activities is the typic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::126b6b6d3bc8f34fb7f8ee868ab86f32
https://hal.science/hal-03931079
https://hal.science/hal-03931079
Autor:
Fatma Krikid, Ahmad Karfoul, Sahbi Chaibi, Amar Kachenoura, Anca Nica, Abdennaceur Kachouri, Régine Le Bouquin Jeannès
Publikováno v:
Biomedical Signal Processing and Control
Biomedical Signal Processing and Control, 2022, 73, pp.103418. ⟨10.1016/j.bspc.2021.103418⟩
Biomedical Signal Processing and Control, Elsevier, 2022, 73, pp.103418. ⟨10.1016/j.bspc.2021.103418⟩
Biomedical Signal Processing and Control, 2022, 73, pp.103418. ⟨10.1016/j.bspc.2021.103418⟩
Biomedical Signal Processing and Control, Elsevier, 2022, 73, pp.103418. ⟨10.1016/j.bspc.2021.103418⟩
International audience; High Frequency Oscillations (HFOs) occurring in the range of [30–500 Hz] in epileptic intracranial ElectroEncephaloGraphic (iEEG) signals have recently proven to be good biomarkers for localizing the epileptogenic zone. Iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e182aceba13ad8c178e05da41a4f5310
https://hal.science/hal-03514821
https://hal.science/hal-03514821
Autor:
Abdennaceur Kachouri, Sahbi Chaibi, Chahira Mahjoub, Regine Le Bouquin Jeannes, Fatma Krikid, Ahmad Karfoul
Publikováno v:
SSD
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021, Mar 2021, Monastir, Tunisia. pp.427-432, ⟨10.1109/SSD52085.2021.9429411⟩
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021, Mar 2021, Monastir, Tunisia. pp.427-432, ⟨10.1109/SSD52085.2021.9429411⟩
International audience; Cerebral High Frequency Oscillations (HFOs) have recently been discovered in epileptic EEG recordings. HFOs have been defined as spontaneous rhythmic oscillations with short duration, operating approximately in the frequency r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b187eba1aa6f890b96f0d9a880c0b82
https://doi.org/10.1109/ssd52085.2021.9429411
https://doi.org/10.1109/ssd52085.2021.9429411
Autor:
Regine Le Bouquin Jeannes, Sahbi Chaibi, Abdennaceur Kachouri, Chahira Mahjoub, Tarek Lajnef, Fatma Krikid
Publikováno v:
ATSIP
5th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2020
5th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2020, Sep 2020, Sfax, Tunisia. pp.9231905, ⟨10.1109/ATSIP49331.2020.9231905⟩
5th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2020
5th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2020, Sep 2020, Sfax, Tunisia. pp.9231905, ⟨10.1109/ATSIP49331.2020.9231905⟩
International audience; Recently, several studies have proved that High Frequency Oscillations (HFOs) of [80500] Hz are reliable biomarkers for delineating the epileptogenic zone. The total duration of HFOs is extremely short compared to the entire d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::148cd8beac08b723ed811673953a3ae7
https://doi.org/10.1109/atsip49331.2020.9231905
https://doi.org/10.1109/atsip49331.2020.9231905
Publikováno v:
SSD
In the past few years, visual detection of High Frequency Oscillations (HFOs) has led to a good understanding of the fundamental neural mechanisms underlying epileptic phenomena. However, visual marking of HFOs is very tedious, extremely time consumi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56bf4ef9c657284029afdba19565a550
https://doi.org/10.1109/ssd49366.2020.9364171
https://doi.org/10.1109/ssd49366.2020.9364171
Autor:
Regine Le Bouquin Jeannes, Fatma Krikid, Abdennaceur Kachouri, Anca Nica, Chahira Mahjoub, Sahbi Chaibi
Publikováno v:
2020 IEEE International Conference on Design and Test of Integrated Micro and Nano-Systems, DTS 2020
2020 IEEE International Conference on Design and Test of Integrated Micro and Nano-Systems, DTS 2020, Jun 2020, Hammamet, Tunisia. pp.9196156, ⟨10.1109/DTS48731.2020.9196156⟩
2020 IEEE International Conference on Design and Test of Integrated Micro and Nano-Systems, DTS 2020, Jun 2020, Hammamet, Tunisia. pp.9196156, ⟨10.1109/DTS48731.2020.9196156⟩
International audience; Automatic detection of epileptic seizures is a very crucial step for diagnosing patients with drug-resistant epilepsies. If visual analysis of long-term electroencephalographic signals is the most reliable technique, automatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcbf14ee2c7ea78ff18cd717eacf17e3
https://doi.org/10.1109/dts48731.2020.9196156
https://doi.org/10.1109/dts48731.2020.9196156