» Articles » PMID: 36557007

Immersive Virtual Reality During Robot-Assisted Gait Training: Validation of a New Device in Stroke Rehabilitation

Overview
Publisher MDPI
Specialty General Medicine
Date 2022 Dec 23
PMID 36557007
Authors
Affiliations
Soon will be listed here.
Abstract

Background and objective: Duration of rehabilitation and active participation are crucial for gait rehabilitation in the early stage after stroke onset. Virtual reality (VR) is an innovative tool providing engaging and playful environments that could promote intrinsic motivation and higher active participation for non-ambulatory stroke patients when combined with robot-assisted gait training (RAGT). We have developed a new, fully immersive VR application for RAGT, which can be used with a head-mounted display and wearable sensors providing real-time gait motion in the virtual environment. The aim of this study was to validate the use of this new device and assess the onset of cybersickness in healthy participants before testing the device in stroke patients. Materials and Methods: Thirty-seven healthy participants were included and performed two sessions of RAGT using a fully immersive VR device. They physically walked with the Gait Trainer for 20 min in a virtual forest environment. The occurrence of cybersickness, sense of presence, and usability of the device were assessed with three questionnaires: the Simulator Sickness Questionnaire (SSQ), the Presence Questionnaire (PQ), and the System Usability Scale (SUS). Results: All of the participants completed both sessions. Most of the participants (78.4%) had no significant adverse effects (SSQ < 5). The sense of presence in the virtual environment was particularly high (106.42 ± 9.46). Participants reported good usability of the device (86.08 ± 7.54). Conclusions: This study demonstrated the usability of our fully immersive VR device for gait rehabilitation and did not lead to cybersickness. Future studies should evaluate the same parameters and the effectiveness of this device with non-ambulatory stroke patients.

Citing Articles

VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network.

Zhang H, Liao Y, Zhu C, Meng W, Liu Q, Xie S Sensors (Basel). 2024; 24(21).

PMID: 39517895 PMC: 11548295. DOI: 10.3390/s24216998.


Reduction of cognitive fatigue and improved performance at a VR-based driving simulator using tRNS.

Benelli A, Memoli C, Neri F, Romanella S, Cinti A, Giannotta A iScience. 2024; 27(9):110536.

PMID: 39314236 PMC: 11418143. DOI: 10.1016/j.isci.2024.110536.


The most used questionnaires for evaluating the usability of robots and smart wearables: A scoping review.

Moulaei K, Moulaei R, Bahaadinbeigy K Digit Health. 2024; 10:20552076241237384.

PMID: 38601185 PMC: 11005511. DOI: 10.1177/20552076241237384.


Is Social Training Delivered with a Head-Mounted Display Suitable for Patients with Hereditary Ataxia?.

Malerba G, Bellazzecca S, Urgesi C, Butti N, DAngelo M, Diella E Brain Sci. 2023; 13(7).

PMID: 37508949 PMC: 10376992. DOI: 10.3390/brainsci13071017.

References
1.
Kim A, Darakjian N, Finley J . Walking in fully immersive virtual environments: an evaluation of potential adverse effects in older adults and individuals with Parkinson's disease. J Neuroeng Rehabil. 2017; 14(1):16. PMC: 5320768. DOI: 10.1186/s12984-017-0225-2. View

2.
Niehorster D, Li L, Lappe M . The Accuracy and Precision of Position and Orientation Tracking in the HTC Vive Virtual Reality System for Scientific Research. Iperception. 2017; 8(3):2041669517708205. PMC: 5439658. DOI: 10.1177/2041669517708205. View

3.
Borrego A, Latorre J, Alcaniz M, Llorens R . Embodiment and Presence in Virtual Reality After Stroke. A Comparative Study With Healthy Subjects. Front Neurol. 2019; 10:1061. PMC: 6795691. DOI: 10.3389/fneur.2019.01061. View

4.
Winter C, Kern F, Gall D, Latoschik M, Pauli P, Kathner I . Immersive virtual reality during gait rehabilitation increases walking speed and motivation: a usability evaluation with healthy participants and patients with multiple sclerosis and stroke. J Neuroeng Rehabil. 2021; 18(1):68. PMC: 8061882. DOI: 10.1186/s12984-021-00848-w. View

5.
Kayabinar B, Alemdaroglu-Gurbuz I, Yilmaz O . The effects of virtual reality augmented robot-assisted gait training on dual-task performance and functional measures in chronic stroke: a randomized controlled single-blind trial. Eur J Phys Rehabil Med. 2021; 57(2):227-237. DOI: 10.23736/S1973-9087.21.06441-8. View