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Yazan Ali Jarrah
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2020 – today
- 2022
- [j1]Yazan Ali Jarrah, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Xin Wang, Mingxing Zhu, Ejay Nsugbe, Shixiong Chen, Guanglin Li:
High-density surface EMG signal quality enhancement via optimized filtering technique for amputees' motion intent characterization towards intuitive prostheses control. Biomed. Signal Process. Control. 74: 103497 (2022) - [c6]Yazan Ali Jarrah, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Shixiong Chen, Guanglin Li:
Performance Evaluation of HD-sEMG Electrode Configurations on Myoelectric Based Pattern Recognition System: High-Level Amputees. MetroInd4.0& IoT 2022: 75-80 - 2021
- [c5]Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Ejay Nsugbe, Yanjuan Geng, Alberto López Delis, Yazan Ali Jarrah, Oluwagbenga Paul Idowu, Shixiong Chen, Peng Fang, Guanglin Li:
A Low-rank Spatiotemporal based EEG Multi-Artifacts Cancellation Method for Enhanced ConvNet-DL's Motor Imagery Characterization. EMBC 2021: 791-794 - [c4]Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Yazan Ali Jarrah, Shixiong Chen, Guanglin Li:
HD-sEMG Signal Denoising Method for Improved Classification Performance in Transhumeral Amputees Pros thesis Control. EMBC 2021: 857-861 - [c3]Yazan Ali Jarrah, Asogbon Mojisola Grace, Oluwarotimi Williams Samuel, Mingxing Zhu, Xin Wang, Olumide Olayinka Obe, Shixiong Chen, Guanglin Li:
A Comparative Analysis on the Impact of Linear and Non-Linear Filtering Techniques on EMG Signal Quality of Transhumeral Amputees. MetroInd4.0&IoT 2021: 604-608 - [c2]Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Yazan Ali Jarrah, Olumide Olayinka Obe, Yanjuan Geng, Guanglin Li:
A Deep Learning based Model for Decoding Motion Intent of Traumatic Brain Injured Patients' using HD-sEMG Recordings. MetroInd4.0&IoT 2021: 609-614 - 2020
- [c1]Yazan Ali Jarrah, Asogbon Mojisola Grace, Oluwarotimi Williams Samuel, Mingxing Zhu, Xin Wang, Alberto López Delis, Weimin Huang, Shixiong Chen, Guanglin Li:
Enhancement of Upper Limb Movement Classification based on Wiener Filtering Technique. HealthCom 2020: 1-6
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