Zobrazeno 1 - 10
of 369
pro vyhledávání: '"Prosthetic control"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1974-1983 (2024)
Intuitive regression control of prostheses relies on training algorithms to correlate biological recordings to motor intent. The quality of the training dataset is critical to run-time regression performance, but accurately labeling intended hand kin
Externí odkaz:
https://doaj.org/article/947eed5286ae4fe3ad8ad0782a672ea4
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 66-75 (2024)
Prosthetic hands are frequently rejected due to frustrations in daily uses. By adopting principles of human neuromuscular control, it could potentially achieve human-like compliance in hand functions, thereby improving functionality in prosthetic han
Externí odkaz:
https://doaj.org/article/03709eaefc39419090f530794fed6192
Autor:
Erick Guzmán-Quezada, Claudia Mancilla-Jiménez, Fernanda Rosas-Agraz, Rebeca Romo-Vázquez, Hugo Vélez-Pérez
Publikováno v:
Sensors, Vol 24, Iss 11, p 3264 (2024)
The integration of artificial intelligence (AI) models in the classification of electromyographic (EMG) signals represents a significant advancement in the design of control systems for prostheses. This study explores the development of a portable sy
Externí odkaz:
https://doaj.org/article/d3e3394860924f8686d4fccbe93ab74b
Publikováno v:
ARO-The Scientific Journal of Koya University, Vol 11, Iss 2 (2023)
Amputation of the upper limb significantly hinders the ability of patients to perform activities of daily living. To address this challenge, this paper introduces a novel approach that combines non-invasive methods, specifically Electroencephalograph
Externí odkaz:
https://doaj.org/article/d7b92da3de2d4e98bd3c1518a734b15e
Autor:
Zixia Meng, Jiyeon Kang
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
IntroductionMyoelectric control of prostheses is a long-established technique, using surface electromyography (sEMG) to detect user intention and perform subsequent mechanical actions. Most machine learning models utilized in control systems are trai
Externí odkaz:
https://doaj.org/article/6289b0bada024e2f88141140c9af32d0
Autor:
Eric J. Earley, Jan Zbinden, Maria Munoz-Novoa, Enzo Mastinu, Andrew Smiles, Max Ortiz-Catalan
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-11 (2022)
Abstract Background Assistive technologies, such as arm prostheses, are intended to improve the quality of life of individuals with physical disabilities. However, certain training and learning is usually required from the user to make these technolo
Externí odkaz:
https://doaj.org/article/a0576f1a8a23463fad5b0a64e403b4b1
Autor:
Francesca Leone, Federico Mereu, Cosimo Gentile, Francesca Cordella, Emanuele Gruppioni, Loredana Zollo
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
IntroductionThe myoelectric control strategy, based on surface electromyographic signals, has long been used for controlling a prosthetic system with multiple degrees of freedom. Several methods classify gestures and force levels but the simultaneous
Externí odkaz:
https://doaj.org/article/cff3461e1f4241f396b8c06557f3a005
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 782-788 (2022)
Transcutaneous electrical stimulation is a promising technique for providing prosthetic hand users with information about sensory events. However, questions remain over how to design the stimulation paradigms to provide users the best opportunity to
Externí odkaz:
https://doaj.org/article/fd3761f36e27424c9ca94495d80e0706
Autor:
Francesca Leone, Cosimo Gentile, Francesca Cordella, Emanuele Gruppioni, Eugenio Guglielmelli, Loredana Zollo
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-17 (2022)
Abstract Background In the field of myoelectric control systems, pattern recognition (PR) algorithms have become always more interesting for predicting complex electromyography patterns involving movements with more than 2 Degrees of Freedom (DoFs).
Externí odkaz:
https://doaj.org/article/07e3f21dd4af4efa9fd7b4b53d6ae492
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