Items where Author is "Boukhennoufa, Issam"
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Boukhennoufa, Issam (2024) Wearable sensor-based rehabilitation exercise assessment for post-stroke rehabilitation. Doctoral thesis, University of Essex.
Khanam, Zeba and Achari, Vejay Pradeep Suresh and Boukhennoufa, Issam and Jindal, Anish and Singh, Amit Kumar (2024) A Multi-Modal Distributed Real-Time IoT system for Urban Traffic Control. In: Fifth Workshop on Next Generation Real-Time Embedded Systems, 2024-01-17 - 2024-01-19, Munich, Germany.
Boukhennoufa, Issam and Jarchi, Delaram and Zhai, Xiaojun and Utti, Victor and Sanei, Saeid and Lee, Tracey KM and Jackson, Jo and McDonald-Maier, Klaus D (2023) A novel model to generate heterogeneous and realistic time-series data for post-stroke rehabilitation assessment. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31. pp. 2676-2687. DOI https://doi.org/10.1109/tnsre.2023.3283045
Zhu, Xuqi and Boukhennoufa, Issam and Liew, Bernard and Gao, Cong and Yu, Wangyang and McDonald-Maier, Klaus D and Zhai, Xiaojun (2023) Monocular 3D Human Pose Markerless Systems for Gait Assessment. Bioengineering, 10 (6). p. 653. DOI https://doi.org/10.3390/bioengineering10060653
Boukhennoufa, Issam and Altai, Zainab and Zhai, Xiaojun and Utti, Victor and McDonald-Maier, Klaus D and Liew, Bernard (2022) Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning. Frontiers in Bioengineering and Biotechnology, 10. 877347-. DOI https://doi.org/10.3389/fbioe.2022.877347
Boukhennoufa, Issam and Zhai, Xiaojun and Utti, Victor and Jackson, Jo and McDonald-Maier, klaus (2022) Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review. Biomedical Signal Processing and Control, 71 (B). p. 103197. DOI https://doi.org/10.1016/j.bspc.2021.103197
Boukhennoufa, Issam and Zhai, Xiaojun and Utti, Victor and McDonald-Maier, Klaus and Jackson, Jo (2021) Improving the activity recognition using GMAF and transfer learning in post-stroke rehabilitation assessment. In: SAMI 2021- IEEE 19th World Symposium on Applied Machine Intelligence and Informatics, 2021-01-21 - 2021-01-23, Herl'any, Slovakia (virtual). (In Press)