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A scalable algorithm based on spike train distance to select stimulation patterns for sensory feedback., , , , и . NER, стр. 297-300. IEEE, (2021)Investigating the relationship between cue immersion and the strength of motor imagery during hand and wrist movements., , , , , , , и . NER, стр. 1-4. IEEE, (2023)Augmented Reality Prosthesis Training Setup for Motor Skill Enhancement., , , , , и . CoRR, (2019)Neuromorphic vision and tactile fusion for upper limb prosthesis control., , , , , и . NER, стр. 981-984. IEEE, (2019)Limb-position robust classification of myoelectric signals for prosthesis control using sparse representations., , , , и . EMBC, стр. 6373-6376. IEEE, (2016)Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses., , , , , , и . IEEE Trans. Biomed. Eng., 70 (10): 2980-2990 (октября 2023)A Comparison between Virtual Reality and Augmented Reality on Upper-limb Prosthesis Control., , , , , , , , и . ISEEIE, стр. 521-528. ACM, (2021)Real-Time, Dynamic Sensory Feedback Using Neuromorphic Tactile Signals and Transcutaneous Electrical Nerve Stimulation., , , , , и . BioCAS, стр. 399-403. IEEE, (2022)A Mixed-Reality Training Environment for Upper Limb Prosthesis Control., , , , , , , и . BioCAS, стр. 1-4. IEEE, (2018)Predictive trajectory estimation during rehabilitative tasks in augmented reality using inertial sensors., , , , и . BioCAS, стр. 1-4. IEEE, (2018)