Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Bouchra ANANOU"'
Publikováno v:
Bioinformatics and Biology Insights, Vol 17 (2023)
In the health care and medical domain, it has been proven challenging to diagnose correctly many diseases with complicated and interferential symptoms, including arrhythmia. However, with the evolution of artificial intelligence (AI) techniques, the
Externí odkaz:
https://doaj.org/article/58e3b014516a4a19ad553adc1bfc2cef
Autor:
Zouhair Haddi, Bouchra Ananou, Miquel Alfaras, Mustapha Ouladsine, Jean-Claude Deharo, Narcís Avellana, Stéphane Delliaux
Publikováno v:
Algorithms, Vol 15, Iss 7, p 231 (2022)
Atrial fibrillation (AF) is still a major cause of disease morbidity and mortality, making its early diagnosis desirable and urging researchers to develop efficient methods devoted to automatic AF detection. Till now, the analysis of Holter-ECG recor
Externí odkaz:
https://doaj.org/article/5aab335069004538b0a382505c03f981
Publikováno v:
IFAC-PapersOnLine. 55:412-417
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1b307df3501e5ad200cfd1d906c8c95
https://doi.org/10.1016/j.ifacol.2022.09.428
https://doi.org/10.1016/j.ifacol.2022.09.428
Autor:
Samia MELLAH, Youssef TRARDI, Guillaume GRATON, Bouchra ANANOU, El Mostafa EL ADEL, Mustapha OULADSINE
Publikováno v:
IFAC-PapersOnLine. 55:3082-3087
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba2f1b5489cb0059bd4c6b71e6af738b
https://doi.org/10.1016/j.ifacol.2022.10.202
https://doi.org/10.1016/j.ifacol.2022.10.202
Publikováno v:
IFAC-PapersOnLine. 55:439-444
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ac8b411aa21d0ddec53b8e1de1e5dc0
https://doi.org/10.1016/j.ifacol.2022.07.168
https://doi.org/10.1016/j.ifacol.2022.07.168
Publikováno v:
2022 International Conference on Control, Automation and Diagnosis (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0b90b7249759c418812801d841c8e33
https://doi.org/10.1109/iccad55197.2022.9853910
https://doi.org/10.1109/iccad55197.2022.9853910
Publikováno v:
Lecture Notes in Control and Information Sciences-Proceedings ISBN: 9783030853174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0e0aef6c3c418a51201be62856ef25c
https://doi.org/10.1007/978-3-030-85318-1_32
https://doi.org/10.1007/978-3-030-85318-1_32
Autor:
Dima El Jamal, Jacques Pinaton, Mohammed Al-kharaz, Guillaume Graton, Mustapha Ouladsine, Bouchra Ananou
Publikováno v:
2021 IEEE International Conference on Prognostics and Health Management (ICPHM)
2021 IEEE International Conference on Prognostics and Health Management (ICPHM), Jun 2021, Detroit (Romulus) (virtual), France. pp.1-7, ⟨10.1109/ICPHM51084.2021.9486507⟩
ICPHM
IEEE International Conference on Prognostics and Health Management (ICPHM)
2021 IEEE International Conference on Prognostics and Health Management (ICPHM), Jun 2021, Detroit (Romulus) (virtual), France. pp.1-7, ⟨10.1109/ICPHM51084.2021.9486507⟩
ICPHM
IEEE International Conference on Prognostics and Health Management (ICPHM)
International audience; This paper proposes a data-driven framework for Remaining Useful Life (RUL) prediction, based on the Brownian Motion model (BM) and the similarity principle, for an operating system given its health indicator. It addresses the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e22ed5e9c2a57907ad3ed04debfe178a
https://hal.science/hal-03325720/document
https://hal.science/hal-03325720/document
Autor:
Youssef Trardi, Stephane Delliaux, Bouchra Ananou, Mustapha Ouladsine, Jean-Claude Deharo, Z. Haddi
Publikováno v:
CinC
Automatic and fast atrial fibrillation (AF) diagnosis is still a major concern for the healthcare professional. Several algorithms based on univariate and multivariate analysis have been developed to detect AF. Although the published results do show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5414a738418d96844ae4debd89ea20d3
https://doi.org/10.22489/cinc.2020.449
https://doi.org/10.22489/cinc.2020.449
Advanced Machine Learning Coupled with Heart-Inter-beat derivatives for Cardiac Arrhythmia Detection
Autor:
Youssef Trardi, Z. Haddi, Jean-Francois Pons, Mustapha Ouladsine, Stephane Delliaux, Jean-Claude Deharo, Bouchra Ananou
Publikováno v:
2020 American Control Conference (ACC)
2020 American Control Conference (ACC), Jul 2020, Denver, France. pp.5433-5438, ⟨10.23919/ACC45564.2020.9147991⟩
ACC
2020 American Control Conference (ACC), Jul 2020, Denver, France. pp.5433-5438, ⟨10.23919/ACC45564.2020.9147991⟩
ACC
International audience; This paper presents a novel strategy based on derivatives time series and advanced machine learning for medical decision-support especially for cardiac arrhythmia diagnosis. Most of recent technologies (smartphones, smart watc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f76dbec8d45ee89ef9683b9e0360e9a5
https://hal.inrae.fr/hal-03314531
https://hal.inrae.fr/hal-03314531