Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ines ASSALI"'
Publikováno v:
Circuits, Systems, and Signal Processing. 42:1773-1791
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ff51949f3d7144f7df21e222658e174
https://doi.org/10.1007/s00034-022-02196-z
https://doi.org/10.1007/s00034-022-02196-z
Autor:
Manef BEN MBAREK, Ines ASSALI, Salah HAMDI, Asma BEN ABDALLAH, Olivier DAVID, Mouna AISSI, Marcel CARRERE, Mohamed HEDI BEDOUI
This study presents a new attempt to quantify and predict changes in the ECG signal in the pre-ictal period. In the proposed approach, threshold techniques were applied to the standard deviation (STD) of two Heart rate variability features (The numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19135e20705272aed208abe5c7c6ad3d
https://doi.org/10.21203/rs.3.rs-2456761/v1
https://doi.org/10.21203/rs.3.rs-2456761/v1
Autor:
Ines Assali, Ahmed Ghazi Blaiech, Asma Ben Abdallah, Khaled Ben Khalifa, Marcel Carrère, Mohamed Hédi Bedoui
Publikováno v:
Biomedical Signal Processing and Control. 82:104519
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12d1009dcbba16f3c856aff16e0e1d80
https://doi.org/10.1016/j.bspc.2022.104519
https://doi.org/10.1016/j.bspc.2022.104519
Publikováno v:
The Computer Journal. 65:1257-1271
The present work develops a novel hybrid method for ocular and muscular artifact removal from electroencephalography (EEG) signals, EFICA-TQWT. It is a combination of efficient fast independent component analysis (EFICA) method with the tunable Q-fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e2aebb1cce6b8d5a9eaa17c4a1c8832
https://doi.org/10.1093/comjnl/bxaa175
https://doi.org/10.1093/comjnl/bxaa175
Autor:
Mouna Aissi, Ahmed Ghazi Blaiech, Marcel Carrere, Ines Assali, Ines Jlassi, Mohamed Hedi Bedoui
Publikováno v:
Biomedical Signal Processing and Control
Biomedical Signal Processing and Control, Elsevier, 2021, 68, pp.102725. ⟨10.1016/j.bspc.2021.102725⟩
Biomedical Signal Processing and Control, Elsevier, 2021, 68, pp.102725. ⟨10.1016/j.bspc.2021.102725⟩
International audience; Epilepsy is one of the most widespread neurological pathologies, which is characterized by localized or generalized brain dysfunction due to abnormal or excessive paroxysmal electrical discharges. These discharges lead to neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3cf7602939d0ce97929f7ad7bf52f0f
https://hal.archives-ouvertes.fr/hal-03553050
https://hal.archives-ouvertes.fr/hal-03553050