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Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors.

O. Samuel, Y. Geng, X. Li, и G. Li. J. Medical Syst., 41 (12): 194:1-194:13 (2017)

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A Fuzzy-Based Recommender System for Electronic Products Selection using Users' Requirements and Other Users' Opinion.B. Ojokoh, O. Omisore, O. Samuel, и T. Otunniyi. Int. J. Fuzzy Syst. Appl., 4 (1): 76-87 (2015)Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors.O. Samuel, Y. Geng, X. Li, и G. Li. J. Medical Syst., 41 (12): 194:1-194:13 (2017)Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses.O. Samuel, X. Li, Y. Geng, M. Asogbon, P. Fang, Z. Huang, и G. Li. Comput. Biol. Medicine, (2017)Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems.O. Samuel, M. Asogbon, R. Khushaba, F. Kulwa, и G. Li. IEEE Trans. Biomed. Eng., 70 (5): 1516-1527 (мая 2023)Multi-technique object tracking approach- A reinforcement paradigm.O. Samuel, M. Asogbon, A. Sangaiah, и G. Li. Comput. Electr. Eng., (2018)Intelligent computing system based on pattern recognition and data mining algorithms.J. Zhang, O. Samuel, и H. Wang. Sustain. Comput. Informatics Syst., (2018)Performance Evaluation of HD-sEMG Electrode Configurations on Myoelectric Based Pattern Recognition System: High-Level Amputees.Y. Jarrah, M. Asogbon, O. Samuel, E. Nsugbe, S. Chen, и G. Li. MetroInd4.0& IoT, стр. 75-80. IEEE, (2022)A Deep Learning based Model for Decoding Motion Intent of Traumatic Brain Injured Patients' using HD-sEMG Recordings.M. Asogbon, O. Samuel, E. Nsugbe, Y. Jarrah, O. Obe, Y. Geng, и G. Li. MetroInd4.0&IoT, стр. 609-614. IEEE, (2021)A Low-rank Spatiotemporal based EEG Multi-Artifacts Cancellation Method for Enhanced ConvNet-DL's Motor Imagery Characterization.O. Samuel, M. Asogbon, E. Nsugbe, Y. Geng, A. Delis, Y. Jarrah, O. Idowu, S. Chen, P. Fang, и G. Li. EMBC, стр. 791-794. IEEE, (2021)A new approach to mitigate the effect of force variation on pattern recognition for myoelectric control.X. Li, R. Xu, O. Samuel, L. Tian, H. Zou, X. Zhang, S. Chen, P. Fang, и G. Li. EMBC, стр. 1684-1687. IEEE, (2016)

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