Abstract
Virtual cues are a complement for improving quality of life in Acquired Brain Injury (ABI) patients. In the last few years, the high incidence and high costs of this pathology have produced new technological methodologies that helps alleviate motor and cognitive disorders. The use of low-cost and portable systems together with Virtual Environments allow the creation of novel solutions that can serve as a complement in traditional rehabilitation sessions. Medio-lateral weight transferences are a characteristic movement in the therapeutic sessions of these patients. For this reason, we have created a novel Virtual Rehabilitation system that is composed of virtual cues that satisfy the suggestions of clinical specialists. In this regard, the Neuro Virtual (NeuroVirt) system is a satisfactory and useful tool that is capable of improving in kinematic parameters such as reaction and completion time in ABI patients. In this study, we have tested the NeuroVirt system to obtain positive outcomes in kinematic parameters thanks to the use of Virtual Cues using a reliable questionnaire that focuses on Virtual Rehabilitation. For this purpose, we analyzed our novel system with two different populations, university students and older people. The outcomes have revealed that the NeuroVirt system is an acceptable tool to be validated in the near future with ABI patients.
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Acknowledgments
The authors would like to acknowledge Iván Verde for designing and programming the Virtual Environment. This contribution was funded by the Gobierno de Aragón, Departamento de Industria e Innovación, and Fondo Social Europeo “Construyendo Europa desde Aragón” and by grants from the Instituto de Salud Carlos III (FIS. PI17/00465) from the Spanish Government and European Regional Development Fund, “A way to build Europe”.
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Albiol-Pérez, S. et al. (2019). The Use of Virtual Cues in Acquired Brain Injury Rehabilitation. Meaningful Evidence. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-030-16184-2_75
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DOI: https://doi.org/10.1007/978-3-030-16184-2_75
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