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dc.contributor.author | Cisnal de la Rica, Ana | |
dc.contributor.author | Gordaliza Pastor, Paula | |
dc.contributor.author | Pérez Turiel, Javier | |
dc.contributor.author | Fraile Marinero, Juan Carlos | |
dc.date.accessioned | 2023-12-13T08:52:45Z | |
dc.date.available | 2023-12-13T08:52:45Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Sensors, 2023, Vol. 23, Nº. 4, 2048 | es |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/63594 | |
dc.description | Producción Científica | es |
dc.description.abstract | The effectiveness of EMG biofeedback with neurorehabilitation robotic platforms has not been previously addressed. The present work evaluates the influence of an EMG-based visual biofeedback on the user performance when performing EMG-driven bilateral exercises with a robotic hand exoskeleton. Eighteen healthy subjects were asked to perform 1-min randomly generated sequences of hand gestures (rest, open and close) in four different conditions resulting from the combination of using or not (1) EMG-based visual biofeedback and (2) kinesthetic feedback from the exoskeleton movement. The user performance in each test was measured by computing similarity between the target gestures and the recognized user gestures using the L2 distance. Statistically significant differences in the subject performance were found in the type of provided feedback (p-value 0.0124). Pairwise comparisons showed that the L2 distance was statistically significantly lower when only EMG-based visual feedback was present (2.89 ± 0.71) than with the presence of the kinesthetic feedback alone (3.43 ± 0.75, p-value = 0.0412) or the combination of both (3.39 ± 0.70, p-value = 0.0497). Hence, EMG-based visual feedback enables subjects to increase their control over the movement of the robotic platform by assessing their muscle activation in real time. This type of feedback could benefit patients in learning more quickly how to activate robot functions, increasing their motivation towards rehabilitation. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Biofeedback | es |
dc.subject | Biorretroalimentación | es |
dc.subject | Biological control systems | es |
dc.subject | Sistemas de control biológico | es |
dc.subject | Biomedicine | es |
dc.subject | Electromyography | es |
dc.subject | Electromiografía | es |
dc.subject | Human robot interaction | es |
dc.subject | Rehabilitation technology | es |
dc.subject | Robotics | es |
dc.subject | Robotics in medicine | es |
dc.subject | Robótica | es |
dc.subject | Robotic exoskeletons | es |
dc.subject | Neuromuscular diseases - Treatment | es |
dc.subject | Enfermedades neuromusculares - Tratamiento | es |
dc.title | Interaction with a hand rehabilitation exoskeleton in EMG-driven bilateral therapy: Influence of visual biofeedback on the users’ performance | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2023 The authors | es |
dc.identifier.doi | 10.3390/s23042048 | es |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/23/4/2048 | es |
dc.identifier.publicationfirstpage | 2048 | es |
dc.identifier.publicationissue | 4 | es |
dc.identifier.publicationtitle | Sensors | es |
dc.identifier.publicationvolume | 23 | es |
dc.peerreviewed | SI | es |
dc.description.project | Ministerio de Ciencia e Innovación - (project RTC2019-007350-1) | es |
dc.description.project | Consejería de Educación, Fondo Social Europeo, Gobierno Vasco - (BERC 2022-2025) y (project 3KIA (KK-2020/00049) | es |
dc.description.project | Ministerio de Ciencia, Innovación y Universidades - (BCAM Severo Ochoa: SEV-2017-0718) | es |
dc.identifier.essn | 1424-8220 | es |
dc.rights | Atribución 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
dc.subject.unesco | 32 Ciencias Médicas | es |
dc.subject.unesco | 6103.08 Rehabilitación | es |
dc.subject.unesco | 3314 Tecnología Médica |
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