Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/63594
Título
Interaction with a hand rehabilitation exoskeleton in EMG-driven bilateral therapy: Influence of visual biofeedback on the users’ performance
Autor
Año del Documento
2023
Editorial
MDPI
Descripción
Producción Científica
Documento Fuente
Sensors, 2023, Vol. 23, Nº. 4, 2048
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.
Materias (normalizadas)
Biofeedback
Biorretroalimentación
Biological control systems
Sistemas de control biológico
Biomedicine
Electromyography
Electromiografía
Human robot interaction
Rehabilitation technology
Robotics
Robotics in medicine
Robótica
Robotic exoskeletons
Neuromuscular diseases - Treatment
Enfermedades neuromusculares - Tratamiento
Materias Unesco
32 Ciencias Médicas
6103.08 Rehabilitación
3314 Tecnología Médica
ISSN
1424-8220
Revisión por pares
SI
Patrocinador
Ministerio de Ciencia e Innovación - (project RTC2019-007350-1)
Consejería de Educación, Fondo Social Europeo, Gobierno Vasco - (BERC 2022-2025) y (project 3KIA (KK-2020/00049)
Ministerio de Ciencia, Innovación y Universidades - (BCAM Severo Ochoa: SEV-2017-0718)
Consejería de Educación, Fondo Social Europeo, Gobierno Vasco - (BERC 2022-2025) y (project 3KIA (KK-2020/00049)
Ministerio de Ciencia, Innovación y Universidades - (BCAM Severo Ochoa: SEV-2017-0718)
Version del Editor
Propietario de los Derechos
© 2023 The authors
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
Aparece en las colecciones
Files in questo item
![Atribución 4.0 Internacional](/themes/Mirage2//images/creativecommons/cc-by.png)