Next Article in Journal
Diurnal Patterns in Solute Concentrations Measured with In Situ UV-Vis Sensors: Natural Fluctuations or Artefacts?
Previous Article in Journal
Design of Substrate-Integrated Waveguide Loading Multiple Complementary Open Resonant Rings (CSRRs) for Dielectric Constant Measurement
 
 
Article

Connected Elbow Exoskeleton System for Rehabilitation Training Based on Virtual Reality and Context-Aware

1
Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37002 Salamanca, Spain
2
Facultad de Informática, Universidad Pontificia de Salamanca, C/Compañía 5, 37002 Salamanca, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(3), 858; https://doi.org/10.3390/s20030858
Received: 15 December 2019 / Revised: 9 January 2020 / Accepted: 4 February 2020 / Published: 6 February 2020
(This article belongs to the Section Biomedical Sensors)
Traditional physiotherapy rehabilitation systems are evolving into more advanced systems based on exoskeleton systems and Virtual Reality (VR) environments that enhance and improve rehabilitation techniques and physical exercise. In addition, due to current connected systems and paradigms such as the Internet of Things (IoT) or Ambient Intelligent (AmI) systems, it is possible to design and develop advanced, effective, and low-cost medical tools that patients may have in their homes. This article presents a low-cost exoskeleton for the elbow that is connected to a Context-Aware architecture and thanks to a VR system the patient can perform rehabilitation exercises in an interactive way. The integration of virtual reality technology in rehabilitation exercises provides an intensive, repetitive and task-oriented capacity to improve patient motivation and reduce work on medical professionals. One of the system highlights is the intelligent ability to generate new exercises, monitor the exercises performed by users in search of progress or possible problems and the dynamic modification of the exercises characteristics. The platform also allows the incorporation of commercial medical sensors capable of collecting valuable information for greater accuracy in the diagnosis and evolution of patients. A case study with real patients with promising results has been carried out. View Full-Text
Keywords: exoskeleton; elbow rehabilitation; virtual reality; edge computing exoskeleton; elbow rehabilitation; virtual reality; edge computing
Show Figures

Figure 1

MDPI and ACS Style

de la Iglesia, D.H.; Mendes, A.S.; González, G.V.; Jiménez-Bravo, D.M.; de Paz Santana, J.F. Connected Elbow Exoskeleton System for Rehabilitation Training Based on Virtual Reality and Context-Aware. Sensors 2020, 20, 858. https://doi.org/10.3390/s20030858

AMA Style

de la Iglesia DH, Mendes AS, González GV, Jiménez-Bravo DM, de Paz Santana JF. Connected Elbow Exoskeleton System for Rehabilitation Training Based on Virtual Reality and Context-Aware. Sensors. 2020; 20(3):858. https://doi.org/10.3390/s20030858

Chicago/Turabian Style

de la Iglesia, Daniel H., André Sales Mendes, Gabriel Villarrubia González, Diego M. Jiménez-Bravo, and Juan F. de Paz Santana. 2020. "Connected Elbow Exoskeleton System for Rehabilitation Training Based on Virtual Reality and Context-Aware" Sensors 20, no. 3: 858. https://doi.org/10.3390/s20030858

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop