Virtual Reality Gait Training to Promote Balance and Gait Among Older People: A Randomized Clinical Trial

Effectiveness of sensor-based interventions in improving gait and balance performance in older adults: systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Sensor-based interventions (SI) have been suggested as an alternative rehabilitation treatment to improve older adults' functional performance. However, the effectiveness of different sensor technologies in improving gait and balance remains unclear and requires further investigation.

METHODS

Ten databases (Academic Search Premier; Cumulative Index to Nursing and Allied Health Literature, Complete; Cochrane Central Register of Controlled Trials; MEDLINE; PubMed; Web of Science; OpenDissertations; Open grey; ProQuest; and Grey literature report) were searched for relevant articles published up to December 20, 2022. Conventional functional assessments, including the Timed Up and Go (TUG) test, normal gait speed, Berg Balance Scale (BBS), 6-Minute Walk Test (6MWT), and Falling Efficacy Scale-International (FES-I), were used as the evaluation outcomes reflecting gait and balance performance. We first meta-analyzed the effectiveness of SI, which included optical sensors (OPTS), perception sensors (PCPS), and wearable sensors (WS), compared with control groups, which included non-treatment intervention (NTI) and traditional physical exercise intervention (TPEI). We further conducted sub-group analysis to compare the effectiveness of SI (OPTS, PCPS, and WS) with TPEI groups and compared each SI subtype with control (NTI and TPEI) and TPEI groups.

RESULTS

We scanned 6255 articles and performed meta-analyses of 58 selected trials (sample size = 2713). The results showed that SI groups were significantly more effective than control or TPEI groups (p < 0.000) in improving gait and balance performance. The subgroup meta-analyses between OPTS groups and TPEI groups revealed clear statistically significant differences in effectiveness for TUG test (mean difference (MD) = - 0.681 s; p < 0.000), normal gait speed (MD = 4.244 cm/s; p < 0.000), BBS (MD = 2.325; p = 0.001), 6MWT (MD = 25.166 m; p < 0.000), and FES-I scores (MD = - 2.036; p = 0.036). PCPS groups also presented statistically significant differences with TPEI groups in gait and balance assessments for normal gait speed (MD = 4.382 cm/s; p = 0.034), BBS (MD = 1.874; p < 0.000), 6MWT (MD = 21.904 m; p < 0.000), and FES-I scores (MD = - 1.161; p < 0.000), except for the TUG test (MD = - 0.226 s; p = 0.106). There were no statistically significant differences in TUG test (MD = - 1.255 s; p = 0.101) or normal gait speed (MD = 6.682 cm/s; p = 0.109) between WS groups and control groups.

CONCLUSIONS

SI with biofeedback has a positive effect on gait and balance improvement among a mixed population of older adults. Specifically, OPTS and PCPS groups were statistically better than TPEI groups at improving gait and balance performance, whereas only the group comparison in BBS and 6MWT can reach the minimal clinically important difference. Moreover, WS groups showed no statistically or clinically significant positive effect on gait and balance improvement compared with control groups. More studies are recommended to verify the effectiveness of specific SI. Research registration PROSPERO platform: CRD42022362817. Registered on 7/10/2022.

Evaluating the Usability and Safety of Virtual Reality Application Combined with the SWalker for Functional Gait Rehabilitation

Objective: This research evaluates from a usability point of view the combination of a developed fully immersive virtual reality (VR) solution with the SWalker robotic device. It aims to contribute to research in the exploration of immersive experiences overground with a functional gait recovery device. Materials and Methods: We evaluated the system in a pilot study with 20 healthy participants aged 85.1 (SD: 6.29). Participants used the SWalker-VR platform while testing one VR application focused on walking and the other on balance practice. Afterward, the participants answered three usability questionnaires. Results: The platform was validated in terms of safety using the Simulator Sickness Questionnaire, obtaining less than 20 points for all subscales: nausea (4.29 ± 14.47), oculomotor (0.38 ± 14.18), and disorientation (1.39 ± 14.52). For usability evaluation, the System Usability Scale provided an overall score of 70.63 ± 11.64, and the Post-Study System Usability Questionnaire (PSSUQ) rated 1.61 ± 0.54. The usability scores reported by both questionnaires were moderate and good, respectively. These results were similar in overall scores for both groups: participants with low cognitive level and participants with high cognitive level. Finally, the possible causes for the "no answered" responses on the PSSUQ were discussed. Conclusion: It is concluded that the SWalker-VR platform is reported to have adequate usability and high security by older adults. The potential interest of studying the effects of the long-term use of this platform by older adults with gait impairment is expressed. Clinical Trials reference: NCT06025981.

High cadence cycling not high work rate, increases gait velocity post-exercise

Gait velocity, or walking speed, has been referred to as the sixth vital sign, and research suggests that it is highly sensitive to change. Previous research has demonstrated the utility of cycling to improve gait parameters and in particular gait velocity in a variety of populations. However, it is unclear if the benefits from cycling to gait velocity stem from increased cadence, increased work rate, or the interaction between them. Therefore, the objective of the current research was to explicitly test the relationship between cycling work rate, cycling cadence, and gait velocity. 45 recreationally active young adults were randomly assigned to cycle at a normalised cadence and work rate, a higher cadence, or a higher work rate (CONTROL, FAST, HARD). All participants completed two ten-metre walk tests (10 MWT) pre- and post-cycling intervention. There was a significant interaction between group and time and post hoc comparisons showed that the FAST group walked significantly faster than the HARD group post-cycling. These results support the hypothesis that cycling at a cadence greater than the comfortable walking cadence, and not cycling at an increased work rate, increased gait velocity post-exercise for all members of our sample of healthy young adults.

Effectiveness of Virtual Reality Therapy on Balance and Gait in the Elderly: A Systematic Review

Virtual reality (VR) therapies are presently utilized to treat physical and cognitive impairments among elderly people. This systematic review aims to collect the most recent evidence on the effectiveness of VR in improving balance and gait among healthy elderly individuals, in comparison with other therapies. A literature search was conducted using the PubMed, SCOPUS, PEDro, and WoS databases, by selecting randomized clinical trials that evaluated balance, both static and dynamic, as well as gait in a population of healthy older adults who underwent virtual reality therapy. The methodological quality of the studies was assessed using the PEDro scale. After eligibility criteria were applied and duplicates were removed, 20 studies were selected out of 1705 initially identified. The present systematic review concludes that virtual reality therapy is more effective than minimal intervention or usual care in enhancing static balance, dynamic balance, and gait in healthy elderly individuals. Moreover, virtual reality therapy yields better outcomes compared to traditional balance training and physical exercise in improving balance and gait in this demographic. However, both methods have shown effectiveness.

Effectiveness of non-immersive virtual reality exercises for balance and gait improvement in older adults: A meta-analysis

BACKGROUND

Virtual reality (VR)-based physical exercise is an innovative and effective intervention strategy for healthcare in older adults.

OBJECTIVE

This meta-analysis aimed to clarify the effects of VR-based balance exercise programs on various balancing abilities of older adults. In addition, the effect size of each variable was computed by total exercise time, sensor type, avatar presence, and feedback type to determine influencing factors that lead to the success of VR-based rehabilitation programs.

METHODS

The databases searched were PubMed/Medline, CINAHL, NDSL, and Google Scholar. Inclusion criteria were: (1) independent older adults; (2) non-immersive VR exercise; (3) randomized controlled design; (4) both balance and gait data; and (5) written in English and Korean. The studies without information to compute effect sizes were excluded. Standardized mean difference was used to analyze the effect size (d).

RESULTS

Twenty-five studies were finally included in this study. The main findings of this meta-analysis were as follows: (1) Non-immersive VR-based balance exercises are moderately and largely effective for improving overall balance function, (2) VR balance exercise was more effective for static balance than for gait, (3) VR exercise is more effective when avatars are presented and KP is provided as feedback.

CONCLUSION

Total exercise time and mode of feedback are influencing factors that affect the effectiveness of VR-based balance exercises.

Exploring the Psychological Nexus of Virtual and Augmented Reality on Physical Activity in Older Adults: A Rapid Review

With the global population of older adults projected to double to 2.1 billion by 2050, it becomes crucial to promote healthy aging to alleviate the associated disease burden. In this context, technology, particularly virtual reality (VR) and augmented reality (AR), has garnered attention for its potential to augment physical activity in older adults. These immersive technologies offer interactive and enjoyable exercise experiences, making physical activity more appealing. However, the effectiveness of these interventions is not solely attributed to technology itself but is deeply intertwined with psychological processes. This rapid review examines the effectiveness of VR and AR interventions in enhancing physical exercise among healthy older adults while exploring the role of psychological variables, including mood, self-efficacy, and motivation. The results of the study show that technology-enhanced physical activity interventions hold great promise but call attention to the need for a comprehensive understanding of psychological dynamics that will pave the way for more tailored and effective interventions. Future research endeavors should aim to bridge these gaps in knowledge to optimize the impact of technology on healthy aging.

Restoring walking ability in older adults with arm-in-arm gait training: study protocol for the AAGaTT randomized controlled trial

CONTEXT

Falls are a significant problem among older adults. While balance and functional exercises have been shown to be effective, it remains unclear whether regular walking has specific effects on reducing the risk of falls.

RATIONALE

Older people who fall frequently have impaired gait patterns. Recent studies have suggested using interpersonal synchronization: while walking arm-in-arm, an older person synchronizes steps with a younger person to reinstate a better gait pattern. This method of gait training may reduce the risk of falls.

OBJECTIVE

The aim is to assess the efficacy of an arm-in-arm gait-training program in older people.

DESIGN

The arm-in-arm gait training trial (AAGaTT) is a single-site, open label, two-arm, randomized controlled trial.

PARTICIPANTS

We will enroll 66 dyads of older people and their younger "gait instructors". The older participants must be > 70 years old with adequate walking ability. They must have experienced a fall in the year prior to study entry.

INTERVENTION

Dyads will walk an indoor course for 30 min either side-by-side without contact (control group) or arm-in-arm while synchronizing their gait (intervention group). The gait training will be repeated three times a week for four weeks.

OUTCOMES

The main outcome will be the walking speed measured in five-minute walking trials performed at baseline and at the end of each intervention week (week 1 - week 4), and at week 7. Gait quality will be assessed using accelerometers. We will also assess perceived physical activity and health using questionnaires. Finally, we will monitor fall incidence over 18 months. We will evaluate whether outcomes are more improved in the intervention group compared to the control group. In addition, interviews will be conducted to assess the perception of the gait training.

EXPECTED RESULTS

Recent advances in the neurophysiology of motor control have shown that synchronizing gait to external cues or to a human partner can increase the efficiency of gait training. The expected benefits of arm-in-arm gait training are: reduced risk of falls, safe treatment with no adverse effects, and high adherence. This gait training program could be a low-cost intervention with positive effects on the health and well-being of seniors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05627453. Date of registration: 11.25.2022.

Examining technology-assisted rehabilitation for older adults' functional mobility: a network meta-analysis on efficacy and acceptability

Technological advancements facilitate feedback adaptation in rehabilitation through virtual reality (VR) exergaming, serious gaming, wearables, and telerehabilitation for older adults fall prevention. Although studies have evaluated these technologies, no comparisons of their effectiveness have been conducted to date. Thus, this study aims to assess the differences in effectiveness of these interventions on balance and functional mobility in the older adults. A systematic review and network meta-analysis (NMA) were conducted to identify the most effective interventions for improving balance and functional mobility in adults aged 60 and over. The search was conducted in five databases (PubMed, Embase, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science) up to June 10, 2023. The eligibility criteria were: (1) older adults, (2) functional mobility, balance, or gait as the primary outcome, (3) new technology intervention, and (4) randomized study design. New technology interventions were classified into five categories: exergaming with balance platforms or motion capture technologies, other serious gaming, interventions with wearables, and telerehabilitation. Additionally, two categories of control interventions (conventional exercises and no treatment) were extracted. The NMA was performed for the aggregated results of all outcomes, and separately for clinical functional scales, functional mobility, and gait speed results. Fifty-two RCTs with 3081 participants were included. Exergaming with motion capture was found to be statistically significant in producing a better effect than no treatment in the analysis of the functional mobility with an SMD of -0.70 (P < 0.01). The network meta-analysis revealed that exergaming with motion capture offers greater therapeutic benefits for functional mobility and balance compared to no treatment control. The effectiveness of this approach is similar to that of conventional exercises. Further RCTs are needed to provide a more definitive conclusion, particularly with respect to the effectiveness of serious games, telerehabilitation, and interventions with wearables.

FarmDay: A Gamified Virtual Reality Neurorehabilitation Application for Upper Limb Based on Activities of Daily Living

Patients with upper limb disorders are limited in their activities of daily living and impose an important healthcare burden due to the repetitive rehabilitation they require. A way to reduce this burden is through home-based therapy using virtual reality solutions, since they are readily available, provide immersion, and enable accurate motion tracking, and custom applications can be developed for them. However, there is lack of guidelines for the design of effective VR rehabilitation applications in the literature, particularly for bimanual training. This work introduces a VR telerehabilitation system that uses off-the-shelf hardware, a real-time remote setup, and a bimanual training application that aims to improve upper extremity motor function. It is made of six activities and was evaluated by five physiotherapists specialised in (1) neuromotor disorders and (2) functional rehabilitation and (3) occupational therapy. A descriptive analysis of the results obtained from the System Usability Scale test of the application and a collection of qualitative assessments of each game have been carried out. The application obtained a mean score of 86.25 (±8.96 SD) in the System Usability Scale, and the experts concluded that it accurately reproduces activities of daily living movements except for wrist and finger movements. They also offer a set of design guidelines.

The Effect of Exergame Training on Physical Functioning of Healthy Older Adults: A Meta-Analysis

Exergames have attracted increasing attention from both the public and researchers. Although previous systematic reviews provided evidence that exergame training is beneficial for improving balance or mobility in older adults, multidimensional physical function measurements, including balance, upper body strength, lower body strength, aerobic endurance, and gait, might help us achieve more robust and reliable results. This meta-analysis aims to quantify the effects of exergame training on overall and specific physical function in healthy older adults. We systematically searched exergame training studies published between January 1985 and June 2021. Forty-eight studies were included in the present meta-analysis, with a total of 1099 participants included in the training group and 1098 participants in the control group. Random-effects meta-analyses found that older adults obtained a small benefit in overall physical function performance (g = 0.43, 95% confidence interval [CI] = 0.33 to 0.53), moderate benefits in balance (g = 0.59, 95% CI = 0.46 to 0.71), upper body strength (g = 0.65, 95% CI = 0.20 to 1.10), lower body strength (g = 0.51, 95% CI = 0.37 to 0.65), and aerobic endurance (g = 0.65, 95% CI = 0.44 to 0.86), a small benefit in gait (g = 0.33, 95% CI = 0.08 to 0.59), and negligible effects on upper body flexibility (g = 0.13, 95% CI = -0.06 to 0.32) and lower body flexibility (g = 0.10, 95% CI = -0.45 to 0.67) from exergame training. The mini-mental state examination score was positively associated with the overall training efficacy (β = 0.08, P = 0.01), while body mass index and the sample size in the training group were negatively associated with the overall training efficacy (β = -0.01, P < 0.01; β = -0.004, P < 0.01). The current meta-analytic findings revealed that exergame training produced general benefits for overall physical function and different effects on specific physical function domains in older adults.

Is Virtual Reality Training More Effective Than Traditional Physical Training on Balance and Functional Mobility in Healthy Older Adults? A Systematic Review and Meta-Analysis

Objective

The studies showed the benefits of virtual reality training (VRT) for functional mobility and balance in older adults. However, a large variance in the study design and results is presented. We, thus, completed a systematic review and meta-analysis to quantitatively examine the effects of VRT on functional mobility and balance in healthy older adults.

Methods

We systematically reviewed the publications in five databases. Studies that examine the effects of VRT on the measures of functional mobility and balance in healthy older adults were screened and included if eligible. Subgroup analyses were completed to explore the effects of different metrics of the intervention design (e.g., session time) on those outcomes related to functional mobility and balance.

Results

Fifteen studies of 704 participants were included. The quality of these studies was good. Compared to traditional physical therapy (TPT), VRT induced greater improvement in TUG (MD = −0.31 s, 95% CI = −0.57 to −0.05, p = 0.02, I² = 6.34%) and one-leg stance with open eyes (OLS-O) (MD = 7.28 s, 95% CI = 4.36 to 10.20, p = 0.00, I² = 36.22%). Subgroup analyses revealed that immersive VRT with more than 800 min of total intervention time over 8 weeks and at least 120 min per week and/or designed by the two motor-learning principles was optimal for functional mobility and balance.

Conclusion

Virtual reality training can significantly improve functional mobility and balance in healthy older adults compared to TPT, and the findings provided critical knowledge of the optimized design of VRT that can inform future studies with more rigorous designs.

Systematic Review Registration

[https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021297085].

Overground Walking in a Fully Immersive Virtual Reality: A Comprehensive Study on the Effects on Full-Body Walking Biomechanics

Virtual reality (VR) is an emerging technology offering tremendous opportunities to aid gait rehabilitation. To this date, real walking with users immersed in virtual environments with head-mounted displays (HMDs) is either possible with treadmills or room-scale (overground) VR setups. Especially for the latter, there is a growing interest in applications for interactive gait training as they could allow for more self-paced and natural walking. This study investigated if walking in an overground VR environment has relevant effects on 3D gait biomechanics. A convenience sample of 21 healthy individuals underwent standard 3D gait analysis during four randomly assigned walking conditions: the real laboratory (RLab), a virtual laboratory resembling the real world (VRLab), a small version of the VRlab (VRLab-), and a version which is twice as long as the VRlab (VRLab+). To immerse the participants in the virtual environment we used a VR-HMD, which was operated wireless and calibrated in a way that the virtual labs would match the real-world. Walking speed and a single measure of gait kinematic variability (GaitSD) served as primary outcomes next to standard spatio-temporal parameters, their coefficients of variant (CV%), kinematics, and kinetics. Briefly described, participants demonstrated a slower walking pattern (-0.09 ± 0.06 m/s) and small accompanying kinematic and kinetic changes. Participants also showed a markedly increased gait variability in lower extremity gait kinematics and spatio-temporal parameters. No differences were found between walking in VRLab+ vs. VRLab-. Most of the kinematic and kinetic differences were too small to be regarded as relevant, but increased kinematic variability (+57%) along with increased percent double support time (+4%), and increased step width variability (+38%) indicate gait adaptions toward a more conservative or cautious gait due to instability induced by the VR environment. We suggest considering these effects in the design of VR-based overground training devices. Our study lays the foundation for upcoming developments in the field of VR-assisted gait rehabilitation as it describes how VR in overground walking scenarios impacts our gait pattern. This information is of high relevance when one wants to develop purposeful rehabilitation tools.