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Performance Evaluation of HD-sEMG Electrode Configurations on Myoelectric Based Pattern Recognition System: High-Level Amputees., , , , , и . 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., , , , , , и . 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., , , , , , , , , и . EMBC, стр. 791-794. IEEE, (2021)High-density surface EMG signal quality enhancement via optimized filtering technique for amputees' motion intent characterization towards intuitive prostheses control., , , , , , , и . Biomed. Signal Process. Control., (2022)HD-sEMG Signal Denoising Method for Improved Classification Performance in Transhumeral Amputees Pros thesis Control., , , , , и . EMBC, стр. 857-861. IEEE, (2021)Enhancement of Upper Limb Movement Classification based on Wiener Filtering Technique., , , , , , , , и . HealthCom, стр. 1-6. IEEE, (2020)A Comparative Analysis on the Impact of Linear and Non-Linear Filtering Techniques on EMG Signal Quality of Transhumeral Amputees., , , , , , , и . MetroInd4.0&IoT, стр. 604-608. IEEE, (2021)