Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Iris Kyranou"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2826-2834 (2024)
Surface electromyogram (EMG) signals find diverse applications in movement rehabilitation and human-computer interfacing. For instance, future advanced prostheses, which use artificial intelligence, will require EMG signals recorded from several site
Externí odkaz:
https://doaj.org/article/2fb207083c2a4eee93340ec59f9c975f
Autor:
Agamemnon Krasoulis, Iris Kyranou, Mustapha Suphi Erden, Kianoush Nazarpour, Sethu Vijayakumar
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 14, Iss 1, Pp 1-14 (2017)
Abstract Background Myoelectric pattern recognition systems can decode movement intention to drive upper-limb prostheses. Despite recent advances in academic research, the commercial adoption of such systems remains low. This limitation is mainly due
Externí odkaz:
https://doaj.org/article/d170435ce0bd4c08881fd8e68ffd943c
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
Surface Electromyography (EMG)-based pattern recognition methods have been investigated over the past years as a means of controlling upper limb prostheses. Despite the very good reported performance of myoelectric controlled prosthetic hands in lab
Externí odkaz:
https://doaj.org/article/9f5b8e74637d46fc91f6fc6cd8bd8271
Autor:
Agamemnon Krasoulis, Kianoush Nazarpour, Iris Kyranou, Sethu Vijayakumar, Mustafa Suphi Erden
Publikováno v:
BioRob
Kyranou, I, Krasoulis, A, Erden, M S, Nazarpour, K & Vijayakumar, S 2016, Real-time classification of multi-modal sensory data for prosthetic hand control . in 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) . Institute of Electrical and Electronics Engineers (IEEE), pp. 536-541, 6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, University Town, Singapore, 26/06/16 . https://doi.org/10.1109/BIOROB.2016.7523681
Kyranou, I, Krasoulis, A, Erden, M S, Nazarpour, K & Vijayakumar, S 2016, Real-time classification of multi-modal sensory data for prosthetic hand control . in 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) . Institute of Electrical and Electronics Engineers (IEEE), pp. 536-541, 6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, University Town, Singapore, 26/06/16 . https://doi.org/10.1109/BIOROB.2016.7523681
Recent work on myoelectric prosthetic control has shown that the incorporation of accelerometry information along with surface electromyography (sEMG) has the potential of improving the performance and robustness of a prosthetic device by increasing