2026-07-21T01:15:39Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/575412022-11-30T20:03:00Zcom_10324_1191com_10324_931com_10324_894col_10324_1379

Rosa Steinz, Ramón de la 10dc23efb883eec2 600 0000-0002-7857-3664 Alonso Alonso, Alonso 523c3c41638cd450 600 0000-0001-6156-0173 Carrera González, Albano 5b94bf75-f58d-415a-b4c2-c97f9d6ebbb4 600 Durán Barroso, Ramón José 72e6ffac37e460e9 600 0000-0003-1423-1646 Fernández Reguero, Patricia 99d11cf6950c28bc 600 0000-0001-5520-0948 2022-11-30T11:12:49Z 2022-11-30T11:12:49Z 2010 Sensors, 2010, vol. 10, n. 12, p. 11100-11125 1424-8220 https://uvadoc.uva.es/handle/10324/57541 10.3390/s101211100 11100 12 11125 Sensors 10 1424-8220 Producción Científica This paper presents the UVa-NTS (University of Valladolid Neuromuscular Training System), a multifunction and portable Neuromuscular Training System. The UVa-NTS is designed to analyze the voluntary control of severe neuromotor handicapped patients, their interactive response, and their adaptation to neuromuscular interface systems, such as neural prostheses or domotic applications. Thus, it is an excellent tool to evaluate the residual muscle capabilities in the handicapped. The UVa-NTS is composed of a custom signal conditioning front-end and a computer. The front-end electronics is described thoroughly as well as the overall features of the custom software implementation. The software system is composed of a set of graphical training tools and a processing core. The UVa-NTS works with two classes of neuromuscular signals: the classic myoelectric signals (MES) and, as a novelty, the myomechanic signals (MMS). In order to evaluate the performance of the processing core, a complete analysis has been done to classify its efficiency and to check that it fulfils with the real-time constraints. Tests were performed both with healthy and selected impaired subjects. The adaptation was achieved rapidly, applying a predefined protocol for the UVa-NTS set of training tools. Fine voluntary control was demonstrated to be reached with the myoelectric signals. And the UVa-NTS demonstrated to provide a satisfactory voluntary control when applying the myomechanic signals. application/pdf eng MDPI info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ © 2010 The Author(s) Attribution 3.0 Unported Biological control systems Training Electromyography 33 Ciencias Tecnológicas 3314 Tecnología Médica Man-machine interface system for neuromuscular training and evaluation based on EMG and MMG signals info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.mdpi.com/1424-8220/10/12/11100 SI THUMBNAIL Man-machine-interface-system.pdf.jpg Man-machine-interface-system.pdf.jpg IM Thumbnail image/jpeg 2052 https://uvadoc.uva.es/bitstream/10324/57541/4/Man-machine-interface-system.pdf.jpg 2a9b8e646a50b055b07ff427769839c6 MD5 4 LICENSE license.txt license.txt text/plain 3929 https://uvadoc.uva.es/bitstream/10324/57541/3/license.txt 289d98c1665ee0d20312360f0e8643c8 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 921 https://uvadoc.uva.es/bitstream/10324/57541/2/license_rdf 903d02fdefc051fdfe74ca5c36f7132c MD5 2 ORIGINAL Man-machine-interface-system.pdf Man-machine-interface-system.pdf application/pdf 1085943 https://uvadoc.uva.es/bitstream/10324/57541/1/Man-machine-interface-system.pdf d4fcbaa0bc10b5e74cf8645bd26d3a92 MD5 1 10324/57541 oai:uvadoc.uva.es:10324/57541 2022-11-30 21:03:00.746 UVaDOC repositorio@uva.es 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