Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Youssef Ouakrim"'
Autor:
Lina Abou-Abbas, Nicola Hagemeister, Youssef Ouakrim, Alix Cagnin, Philippe Laundry, Glen Richardson, Michael J. Dunbar, Neila Mezghani
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Background: Characterizing the condition of patients suffering from knee osteoarthritis is complex due to multiple associations between clinical, functional, and structural parameters. While significant variability exists within this populat
Externí odkaz:
https://doaj.org/article/e7cbd48dc7e14b8a95ce4a6e9d4d4be0
Autor:
Myriam Ben Arous, Ines Haddar, Alex Truong, Johannes C. Ayena, Youssef Ouakrim, Leila El Kamel, Belkacem Chikhaoui, Neila Mezghani
Publikováno v:
Frontiers in Sensors, Vol 4 (2023)
People with urinary incontinence (UI) often face a significant social stigma feeling ashamed of their condition and worrying about others discovering it. In order to improve the quality of life of those with incontinence, recent technological advance
Externí odkaz:
https://doaj.org/article/3af049d143184a05b40686edcc788201
Autor:
Fatima Bensalma, Nicola Hagemeister, Alix Cagnin, Youssef Ouakrim, Nathalie J. Bureau, Manon Choinière, Neila Mezghani
Publikováno v:
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-9 (2022)
Abstract Background Conventional radiography is commonly used to diagnose knee osteoarthritis (OA), but also to guide clinical decision-making, despite a well-established discordance between radiographic severity and patient symptoms. The incidence a
Externí odkaz:
https://doaj.org/article/d729a19a5a4b406daae33e5b73c57773
Autor:
Fatima Bensalma, Neila Mezghani, Youssef Ouakrim, Alexandre Fuentes, Manon Choinière, Nathalie J. Bureau, Madelaine Durand, Nicola Hagemeister
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-12 (2019)
Abstract Background Biomechanical and clinical parameters contribute very closely to functional evaluations of the knee joint. To better understand knee osteoarthritis joint function, the association between a set of knee biomechanical data and a set
Externí odkaz:
https://doaj.org/article/6c3f95cd9c704cbb87a22fb406be7b11
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
Autor:
Neila Mezghani, Rayan Soltana, Youssef Ouakrim, Alix Cagnin, Alexandre Fuentes, Nicola Hagemeister, Pascal-André Vendittoli
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 12054 (2021)
The purpose of this study is to identify healthy phenotypes in knee kinematics based on clustering data analysis. Our analysis uses the 3D knee kinematics curves, namely, flexion/extension, abduction/adduction, and tibial internal/external rotation,
Externí odkaz:
https://doaj.org/article/c457885bd7d24a349a1bc29291e0a692
Autor:
Mariem Abid, Amal Khabou, Youssef Ouakrim, Hugo Watel, Safouene Chemcki, Amar Mitiche, Amel Benazza-Benyahia, Neila Mezghani
Publikováno v:
Sensors, Vol 21, Iss 14, p 4713 (2021)
Human activity recognition (HAR) by wearable sensor devices embedded in the Internet of things (IOT) can play a significant role in remote health monitoring and emergency notification to provide healthcare of higher standards. The purpose of this stu
Externí odkaz:
https://doaj.org/article/a509cce4427046a5b8586e1fa9ad81f3
Autor:
Marwa Mezghani, Nicola Hagemeister, Youssef Ouakrim, Alix Cagnin, Alexandre Fuentes, Neila Mezghani
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 834 (2021)
Measuring knee biomechanics provides valuable clinical information for defining patient-specific treatment options, including patient-oriented physical exercise programs. It can be done by a knee kinesiography test measuring the three-dimensional rot
Externí odkaz:
https://doaj.org/article/f7d056d17ea04ad5a90c2f02c9fd350f
Autor:
Fatima Bensalma, Glen Richardson, Youssef Ouakrim, Alexandre Fuentes, Michael Dunbar, Nicola Hagemeister, Neila Mezghani
Publikováno v:
Applied Sciences, Vol 10, Iss 5, p 1762 (2020)
This paper aims to analyze the correlation structure between the kinematic and clinical parameters of an end-staged knee osteoarthritis population. The kinematic data are a set of characteristics derived from 3D knee kinematic patterns. The clinical
Externí odkaz:
https://doaj.org/article/6bf8485d135b453b8da54164c3d58e7c
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0202348 (2018)
Three-dimensional (3D) knee kinematic data, measuring flexion/extension, abduction/adduction, and internal/external rotation angle variations during locomotion, provide essential information to diagnose, classify, and treat musculoskeletal knee patho
Externí odkaz:
https://doaj.org/article/e8d43e674e0a41e4a6e22d15553fadb7