Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Issam Boukhennoufa"'
Autor:
Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Victor Utti, Saeid Sanei, Tracey K. M. Lee, Jo Jackson, Klaus D. McDonald-Maier
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2676-2687 (2023)
The application of machine learning-based tele-rehabilitation faces the challenge of limited availability of data. To overcome this challenge, data augmentation techniques are commonly employed to generate synthetic data that reflect the configuratio
Externí odkaz:
https://doaj.org/article/ae283b5919754709a7fc37274deaa2c1
Autor:
Zainab Altai, Issam Boukhennoufa, Xiaojun Zhai, Andrew Phillips, Jason Moran, Bernard X. W. Liew
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Joint moment measurements represent an objective biomechemical parameter in joint health assessment. Inverse dynamics based on 3D motion capture data is the current 'gold standard’ to estimate joint moments. Recently, machine learning combined with
Externí odkaz:
https://doaj.org/article/613465c97ca043fb9b55c7357ef4bcff
Autor:
Xuqi Zhu, Issam Boukhennoufa, Bernard Liew, Cong Gao, Wangyang Yu, Klaus D. McDonald-Maier, Xiaojun Zhai
Publikováno v:
Bioengineering, Vol 10, Iss 6, p 653 (2023)
Gait analysis plays an important role in the fields of healthcare and sports sciences. Conventional gait analysis relies on costly equipment such as optical motion capture cameras and wearable sensors, some of which require trained assessors for data
Externí odkaz:
https://doaj.org/article/c66dfd29dce746feafa98dc39a8fdf09
Autor:
Issam Boukhennoufa, Zainab Altai, Xiaojun Zhai, Victor Utti, Klaus D McDonald-Maier, Bernard X. W. Liew
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Knee joint moments are commonly calculated to provide an indirect measure of knee joint loads. A shortcoming of inverse dynamics approaches is that the process of collecting and processing human motion data can be time-consuming. This study aimed to
Externí odkaz:
https://doaj.org/article/05c8410ecf884cb5ad3abfbc76c99ada
Publikováno v:
2022 27th International Conference on Automation and Computing (ICAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1df483df57c3d9116a85d15f521a9545
https://doi.org/10.1109/icac55051.2022.9911152
https://doi.org/10.1109/icac55051.2022.9911152
Publikováno v:
Pattern Recognition and Artificial Intelligence ISBN: 9783031092817
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba7790d38eaad8b9e37a9c00d436337c
https://doi.org/10.1007/978-3-031-09282-4_10
https://doi.org/10.1007/978-3-031-09282-4_10
Publikováno v:
2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
An important part of developing a performant assessment algorithm for post-stroke rehabilitation is to achieve a high-precision activity recognition. Convolutional Neural Networks (CNN) are known to give very accurate results, however they require th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d802723e1e18dcb87534590d87b1f0d1
https://doi.org/10.1109/sami50585.2021.9378670
https://doi.org/10.1109/sami50585.2021.9378670
With the proliferation of wearable wireless sensors and adequate communication protocols, the internet of things (IoT) started to shape the healthcare sector into a new frame of connection between patients with health providers. Although the huge opp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f336dfd44a689c9f0f7f6a8a0c967f68
https://hdl.handle.net/10576/37833
https://hdl.handle.net/10576/37833
Autor:
Mohamed Sadok Gastli, Issam Boukhennoufa, Lisan Shidqi, Abbes Amira, Faycal Bensaali, Walid Aboueata, Abdulah Jarouf, Alhusain Abdalla, Ayman Al-Kababji
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Monitoring elderlies living alone has been a rising issue that caregivers are interested in solving since many elderlies are at risk of experiencing a fall. In the absence of urgent help, serious consequences may occur. This paper presents a complete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b40d1190edeb47f971006eb2001f0299
https://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00267
https://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00267
Autor:
Faycal Bensaali, Abbes Amira, Issam Boukhennoufa, Dimosthenis Anagnostopoulos, Elena Politis, George Dimitrakopoulos, Chris Kotronis, Maria Nikolaidou
Publikováno v:
DSD
This Paper presents an Internet of Things (IoT) based framework to monitor ECG for biometric recognition and acceleration for fall detection. To this end, an-IoT based Remote Elderly Monitoring System (REMS) platform is described. REMS consists of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::230e7825b4583b557decc7da0ef1f377
https://hdl.handle.net/10576/14525
https://hdl.handle.net/10576/14525