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Examining the effectiveness of virtual, augmented, and mixed reality (VAMR) therapy for upper limb recovery and activities of daily living in stroke patients: a systematic review and meta-analysis

Journal of NeuroEngineering and Rehabilitation volume 19, Article number: 93 (2022) Cite this article

Abstract

Introduction

Virtual reality (VR), augmented reality (AR), and mixed reality (MR) are emerging technologies in the field of stroke rehabilitation that have the potential to overcome the limitations of conventional treatment. Enhancing upper limb (UL) function is critical in stroke impairments because the upper limb is involved in the majority of activities of daily living (ADL).

Methods

This study reviewed the use of virtual, augmented and mixed reality (VAMR) methods for improving UL recovery and ADL, and compared the effectiveness of VAMR treatment to conventional rehabilitation therapy. The databases ScienceDirect, PubMed, IEEE Xplore, and Web of Science were examined, and 50 randomized control trials comparing VAMR treatment to standard therapy were determined. The random effect model and fixed effect model are applied based on heterogeneity.

Results

The most often used outcomes of UL recovery and ADL in stroke rehabilitation were the Fugl-Meyer Assessment for Upper Extremities (FMA-UE), followed by the Box and Block Test (BBT), the Wolf Motor Function Test (WMFT), and the Functional Independence Measure (FIM). According to the meta-analysis, VR, AR, and MR all have a significant positive effect on improving FMA-UE for UL impairment (36 studies, MD = 3.91, 95 percent CI = 1.70–6.12, P = 0.0005) and FIM for ADL (10 studies, MD = 4.25, 95 percent CI = 1.47–7.03, P = 0.003), but not on BBT and WMFT for the UL function tests (16 studies, MD = 2.07, 95 percent CI = − 0.58–4.72, P = 0.13),

Conclusions

VAMR therapy was superior to conventional treatment in UL impairment and daily function outcomes, but not UL function measures. Future studies might include further high-quality trials examining the effect of VR, AR, and MR on UL function measures, with an emphasis on subgroup meta-analysis by stroke type and recovery stage.

Background

Stroke is the world’s second greatest cause of death and the third-leading cause of disability in adults, and 80 million people worldwide suffer from the effect of a stroke [1]. Many stroke survivors suffer from a series of neurological sequelae, including physical, cognitive, and communication disorders. After a stroke, upper limb (UL) motor impairments are common, affecting approximately 80% of stroke survivors [2]. Full recovery of the hemiplegic upper limb function is difficult for most stroke survivors/patients, and this severely impairs their activities of daily living (ADL) and social involvement [3]. Enhancing the functional use of the upper limb after a stroke is important [4] because most tasks in everyday life involve the use of the upper limbs.

Despite the fact that conventional rehabilitation treatment has been shown to provide long-term benefits, patients are usually required to participate in very long-term treatments, and the results may vary depending on the experience of the individual therapists [5]. Patients, on the other hand, can lose motivation for treatment adherence since the treatment movements become tiresome and monotonous with time [6]. The emergence of innovative technologies, including virtual reality (VR), augmented reality (AR) and mixed reality (MR), has improved the conventional rehabilitation environment [7]. These new ways of treatment are valuable and provide substantial benefits not only to motivate patients to participate in long-term treatments but also to standardize the quality of treatment for stroke survivors [8, 9].

For VR therapy, a virtual environment resembling a human is constructed utilizing computer technology. Virtual reality is evolving tremendously, providing increasingly realistic virtual settings, which the user simply accepts while employing these therapies to induce recovery [10], while AR enables individuals to interact with virtual models with the use of a smart device such as a smartphone or tablet. The integration of the actual and virtual worlds enabled by augmented reality has the potential to enable humans to uncover abstract theories, phenomena, processes, and behaviors, as well as characteristics that are generally unavailable in a conventional clinical setting [11]. AR has been recognized as an emerging technology that, due to its ability to facilitate intense, repetitive and context-specific rehabilitation, can improve recovery after stroke [12]. For MR therapy, new digital technology in smart healthcare refers to a new type of environmental visualization created by fusing the actual world and the virtual digital world, in which physical entities and digital things can coexist and interact in real-time [13]. The MR system’s interactive media-based feedback provides an engaging medium for intuitively communicating performance and supporting the stroke survivor’s self-assessment [14].

For the early stages of recovery after stroke, virtual reality-based rehabilitation has received attention as a way to fill the gap between the real and ideal world due to its ability to provide high-intensity, repetitive and task-oriented training, as referenced by Kleim et al. [15]. In addition, Cho et al. [16] showed that the developed VR system can improve the motor control of stroke patients after VR proprioception feedback training. Virtual reality-based rehabilitation has shown similar progress to traditional physical therapy and occupational therapy [17]. Furthermore, this technology is an effective, feasible, and safe approach that simplifies rehabilitation compared to conventional rehabilitation, and creates a flexible and user-friendly interactive technique for demonstrating complicated and perplexing concepts [18]. With high-resolution medical consultation procedures and therapies, VR technology in medical applications can also help improve today’s healthcare systems [19]. Furthermore, a VAMR rehabilitation system provides a close collaborative system with high creativity, enhancing motor movements and minimizing the risk of patients feeling that the treatment is becoming tiresome and monotonous with time [20, 21]. The MR system’s evaluation and customizable feedback capabilities also allow clinicians to provide effective personalized training to patients [14].

As such, numerous systematic reviews have been undertaken to investigate the effectiveness of virtual reality on stroke rehabilitation. Wiley et al. [22] reviewed the use of VR technology that focused on the improvement of cognition and function, including global cognition, attention, memory, and language tests, however with a small number of studies covered, the meta-analysis results were highly affected by studies with a large population, causing lower accuracy. Another review conducted by Lee et al. [23], mainly investigated the effects of function in stroke patients. In their study, most of the cases included used game programs in VR intervention groups, which is less diverse. In addition to a review by Chen et al. [24], it analyzed the effects of balance control in stroke. Only nine studies were used, and most of the study groups had a relatively small sample size. Since it lacked external validity, the recorded results may not be relevant to a broader population. Moreno et al. [25] provided another overview of the literature on describing VR technology information for stroke rehabilitation. However, no quantitative analysis of the impacts was conducted, and the instruments and measures employed in the intervention were not been described. Therefore, we review the VAMR training that has effects on the recovery of upper limb function and ADL in order to generalize the findings. Our research is not only focused on the use of general virtual and augmented realities in rehabilitation treatment, but also includes the application of MR in order to investigate the impact of treatments using immersive technologies.

VR therapy is proven to be a worthwhile treatment for stroke patients, and our review aimed to address the following key research questions:

  • RQ1: How virtual, augmented and mixed realities are used as interventions to improve hemiparetic UL function and ADL after stroke;

  • RQ2: How does the effectiveness of VAMR therapies compare with conventional rehabilitation treatment for UL function after a stroke by meta-analysis.

This review has significant contributions: (1) not only in the review of VR and AR stroke rehabilitation, but also in investigating how MR can be used for rehabilitation; and (2) identification of the stroke outcome measurement scales used for the VAMR interventions. This study investigates VAMR on upper limb stroke rehabilitation, while fewer MR studies have been investigated in previous studies. More MR studies are included in the paper, examining the effects of the use of MR, identifying their significance and limitations, thus enhancing more future ideas for using MR for upper limb stroke rehabilitation. Furthermore, it is important to identify the most commonly used measures having high reliability for VAMR studies, so further research can focus on their advantages and limitations.

Methods

Data sources and search strategy

This study was conducted based on Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA). From its inception to October 15, 2021, electronic database searches were conducted on ScienceDirect, PubMed, Web of Science and IEEE Xplore. We also manually searched the reference lists of related articles, and searched the databases using the following terms in Additional file 1: Table S1. Thus, using online screening software Mendeley Desktop to filter the titles and abstracts, and then view the titles and abstracts to assess whether the article meets our predetermined inclusion criteria.

Studies flow of review

Referring to the method description, 4 online databases were used to search for potentially relevant published articles, according to Fig. 1. The search strategy provided a total of 5,011 records. After removing duplicates, 4269 studies were further screened based on the titles and contents in the abstract. After manual full-text screening by two investigators, 50 randomized controlled trials met the inclusion criteria. All these studies compare VR, AR, or MR therapies with conventional treatment.

Fig. 1
figure 1

PRISMA Flowchart

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Study selection

The eligibility of selected studies must meet the following inclusion criteria:

  • Participants Eligible study participants were adults older than 18 years old, who had been diagnosed with a stroke. The study participants were not filtered according to the time after stroke, type of stroke, location of the lesion, or initial upper limb severity.

  • Study design The inclusion criterion was a randomized controlled trial (RCTs), which divided patients into an experimental group receiving either VAMR treatment or a control group receiving conventional treatment.

  • Outcome Measures Any method of measuring the physical, mental and social functions of an individual.

  • Language Articles are published in English.

For the exclusion criteria, book chapters, conference papers and abstracts are excluded. Duplicates and qualitative studies are also excluded. Furthermore, trials comparing two VR groups without control conditions are excluded.

Quantitative analysis

The average post-treatment score, standard deviation, and group size of each comparable trial were entered into RevMan software version 5.4. The summary results were evaluated by calculating the mean difference (MD) with a 95% confidence interval (CI). Since the studies within the same meta-analysis used the same assessment tool with the same unit of measurement, the mean difference (MD) was used as a summary statistic in the meta-analysis when the outcome measurements in all studies were made on the same scale and a fixed-effect model was used. When there was a high degree of heterogeneity between trials (I2 > 50%), the random-effect model was used to pool trial findings for outcomes [26]. To illustrate the pooled effect, forest plot graphics were generated. All tests were two-sided, and we regard a P-value < 0.05 to be statistically significant. Furthermore, RevMan 5.4 was used to analyze the publication bias in this study.

For the quality assessments, the Physiotherapy Evidence Database (PEDro) scale was used to assess the quality of each study [27]. On the basis of the following classification, studies were ranked as excellent to poor: A score of 9–10 was considered excellent; a score of 6–8 was considered good; a score of was 4–5 considered fair; and a score of less than 4 considered poor; the study involved articles with a score of greater than or equal to 4 [27].

Results

To address the key research questions, the results were divided into three sections intended to address the key RQs; including how VAMR therapies improved UL recovery in stroke rehabilitation, what the stroke outcome measure scales used, and the effectiveness of VAMR therapies. A table containing the clinical information and outcome measures of studies on VAMR and conventional treatment was used to summarize the findings, followed by a discussion of VAMR therapies. The second research question on investigating the most used outcome measures scale for UL functions in stroke is discussed next. Lastly, four outcome measures including FMA-UE, BBT, WMFT, and FIM were selected to perform the meta-analysis and compare the effectiveness between VAMR and conventional treatment in UL impairment, function, and ADL measures.

The treatment used in studies

To investigate how VAMR improves UL function in stroke rehabilitation, Table 1 summarizes the clinical information and outcome measures of studies on VAMR and conventional treatment. The 50 studies in our review included a pooled sample of 2271 participants of 3 [28] to 263 [29] participants in each group. All types of strokes were included in this study. The average age of the sample was 45–75.59 years. Thirty-eight studies only reported the results before and after the intervention, and the remaining studies also included follow-up measurements 1 month after the intervention.

Table 1 Clinical information and outcome measures of studies on VAMR and traditional therapy
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Characteristics of VAMR therapy

The experimental group uses many VAMR techniques and interventions, including canoe paddling training, standard physical therapy exercises with VR training, Reh@Task, MoU-Rehab, Smart Glove, Smart Board, Reh@City and Lokomat and VR, and CAREN integrates reality systems to simulate daily activities and daily tasks. In all trials, the intervention time was 1 [41] to 8 weeks [30, 36, 45, 76], the operation frequency was 1–7 times a week, and the duration was around 30–120 min.

An article stated that as participants’ abilities and entertainment levels improve, the difficulty of controlling interventions will gradually develop over time [77].

Virtual reality

The studies using VR can be divided into two main types: readily available commercial games, and a VR system designed for upper extremity rehabilitation.

For readily available commercial games, there are numerous types of readily available commercially released games in the market and the most common brands are Nintendo Wii and Xbox Kinect. Saposnik et al. [65], reported that they used Wii Sports and Game Party 3 games as their therapy method. Participants were able to select various tasks within certain games depending on their skills and interests as they progressed through the intervention, intending to improve endurance, range of movement, stamina, and coordination of the injured arm. The recreational activity was created as a standard active control with equal difficulty and sophistication to mimic the VR Wii group’s abilities while also encouraging motivation.

In another research study by Askin et al. [31], Xbox Kinect was used for rehabilitation, using an infrared camera to capture the body activity of players in 3D space for interaction within game events. The user’s body serves as a game controller in 3D space, allowing players with minimal motor abilities to engage in the game. The games “Good View Hunting” and “Hong Kong Chef” requires patients to move their hands to pick or remove objects to achieve a high score, and the patients actively practiced bilateral shoulder abduction and adduction, as well as active elbow flexion and extension motions.

For the VR system designed for upper extremity rehabilitation, there are numerous models of suitable VR systems nowadays, and most of them have similar components: Sensor, camera, monitor and VR programs or software. An example is the Lin et al. trial [56], in which therapeutic community counselling was performed in a private room in the neurological treatment ward using a portable VR interface and a Microsoft Corporation Kinect sensor. Numerous studies used customized VR games/systems for upper limb stroke rehabilitation. In Kiper’s study [49], the participant was seated next to the wall screen gripping a sensorized real object (e.g., ball, disk, or glass) with the paretic hand during the virtual reality diagnosis; in case of extreme inability in grasping, the sensor was attached to a glove worn by the user. The sensor system detects practical motions such as forearm pronation/supination, wrist flexion/extension, radial-ulnar deviation, and finger flexion/extension by tracking the motion and stance of the wearer’s distal limb [63]. With a tailored system, the VR system in Kiper’s study [48] provided high flexibility in rehabilitation for stroke patients according to their recovery progress.

Augmented reality

In Mousavi et al. [21] study, which used an AR-based version of the Fruit Ninja game, the game required subjects to perform quick arm movements that included visual and somatosensory inputs; however, in the AR-based version, respondents stared directly at their hand as it moved to control gameplay. In addition, an AR method may allow patients to safely perform real-life functional skills, as well as provide standardization and consistency across multiple trials, which are challenging to achieve in traditional therapy with real items.

Mixed reality

In the study by Duff et al. [14], an adaptive mixed reality rehabilitation (AMRR) system employed an interactive framework to teach motor components linked to task completion and movement quality. AMRR combines smart object-based repeated task training with real-time motion capture and analysis to extract kinematic measures that may be used to quantify arm motor performance and give a systematic assessment of common upper-extremity deficits. The kinematic data is also used to provide a participant with real-time and summary audio-visual feedback for self-assessment of the movement. The interactions are engaging in order to encourage task completion and enhance generalized learning of task-related motor aspects.

Characteristics of conventional rehabilitation treatment

Conventional therapy refers to the routine stroke care and treatment that stroke patients get as part of their rehabilitation. Control group intervention included conventional occupational therapy or physical therapy exercise and simple recreational activities. Physical therapy helped to enhance coordination and body control, while occupational therapy was used to improve activities of daily living skills (ADL). In these studies, the frequency of the control interventions was identical to those of the intervention groups.

Meta-analysis of post-therapy

To compare the effects of VAMR therapy with conventional therapy, it was analyzed by meta-analysis, by investigating the effectiveness of the intervention in improving the scores of the FMA-UE, BBT, WMFT and FIM, which are the most commonly used outcome measures of UL impairment, function, and ADL in the studies, refer to Fig. 2. The four outcomes are proven with high reliability and validity [37], and a meta-analysis used these outcome measures to compare VAMR and conventional therapies.

Fig. 2
figure 2

Outcome measures included in studies

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According to Table 2, the mean PEDro scale score for the studies included in this analysis was 6.28, ranging from 4 to 9, thus indicating that they were of high quality. 2 studies scored 4, 12 studies scored 5, 15 studies scored 6, 12 studies scored 7, 7 studies scored 8, and 2 studies scored 9.

Table 2 PEDro Scale risk of bias ratings for the included studies
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RevMan 5.4 was used to analyze the publication bias in this study. The funnel plots of Additional file 1: Fig. S1–S4 illustrate the evaluated weighted effect size, that is, the mean difference vs the standard error. The absence of publication bias is determined in the FMA-UE, BBT, WMFT and FIM outcomes by the symmetrical distribution of studies on the combined effect size.

FMA-UE meta-analysis

When analyzing the overall FMA-UE results, the recovery rate of the experimental group was significantly higher than that of the control group (36 studies, MD = 3.91, 95% CI = 1.70–6.12, P = 0.0005, Fig. 3). The heterogeneity is high (I2 = 81%).

Fig. 3
figure 3

Forest Plot of the FMA-UE outcome

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BBT meta-analysis

For the overall BBT results, the total hand agility improvement of the experimental group was slightly higher than that of the control group but was not statistically significant (17 studies, MD = 1.81, 95% CI = − 0.80–4.74, P = 0.17, Fig. 4). The heterogeneity was quite high (I2 = 72%).

Fig. 4
figure 4

Forest Plot of the BBT outcome

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WMFT meta-analysis

According to the overall WMFT results, the upper limb functionality of the experimental group was slightly higher than that of the control group, but was not statistically significant (15 studies, MD = 2.59, 95% CI = − 1.71–6.90, P = 0.24, Fig. 5). The heterogeneity is extremely high (I2 = 96%).

Fig. 5
figure 5

Forest Plot of the WMFT outcome

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FIM meta-analysis

For the overall FIM results, the improvement of the experimental group’s functional independence was higher than that of the control group and was statistically significant (10 studies, MD = 4.25, 95% CI = 1.47–7.03, P = 0.003, Fig. 6). The heterogeneity was slightly high (I2 = 62%).

Fig. 6
figure 6

Forest Plot of the FIM outcome

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Subgroup analysis

Regarding the high heterogeneity, subgroup analysis was performed by subdividing the studies based on the recovery stage after stroke: Chronic (more than 6 months), subacute (2 weeks to 6 months), and acute (about 2 weeks after onset), and results are shown below.

Regarding the FMA-UE results, the recovery rate of the patients at the chronic stage was significantly higher than in others (21 studies, MD = 3.47, P = 0.03, Fig. 7 upper panel).

Fig. 7
figure 7

Forest Plot of the FMA-UE outcome regarding recovery stage

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Regarding the BBT results, the recovery rate of the patients at the chronic stage was higher than in others (11 studies, MD = 2.330, P < 0.00001, Fig. 8 upper panel), with no heterogeneity.

Fig. 8
figure 8

Forest Plot of BBT outcome regarding recovery stage

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For the WMFT, the subgroup meta-analysis showed no significant effects neither patients with chronic stroke (8 studies, MD = − 0.37, P = 0.80, Fig. 9 upper panel) nor patients with subacute stroke (3 studies, MD = 0.72, P = 0.35, Fig. 9 middle panel).

Fig. 9
figure 9

Forest Plot of the WMFT outcome regarding recovery stage

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In the subgroup meta-analysis of the FIM showed significant effects in patients with chronic stroke (4 studies, MD = 3.84, P = 0.01, Fig. 10 upper panel) while patients with subacute stroke did not (2 studies, MD = − 0.19, P = 0.89, Fig. 10 middle panel).

Fig. 10
figure 10

Forest Plot of the FIM outcome regarding recovery stage

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Discussion

This review examines the VAMR-based treatment methods, UL function, and ADL in stroke outcome measures, and the effectiveness of VR-based therapies after a stroke compared with conventional therapies. A total of 4269 trials were screened and 50 RCTs of high reliability were established, involving 2271 participants who met the requirements for inclusion.

There are two main forms of VAMR training: commercially accessible games and customized systems specialized for upper extremity rehabilitation. With a customized system, it provides a great deal of rehabilitation flexibility for stroke patients based on their recovery progress [48]. Commercial games, it is simple to use and easy to obtain.

This review demonstrated that VAMR-based treatment showed positive effects to improve UL impairment and performance in ADL. According to the evaluation of the FIM results, VR has a significant impact on improving physical, mental and social functions, while the activity level of the arm also has improved. In particular, the subgroup analysis on the recovery stage reveals that patients with chronic stroke significantly improved better than those with subacute after VAMR training, with a lower heterogeneity.

The meta-analysis indicated that VAMR-based treatment improved in the FMA-UE and FIM, which are related to UL impairments and everyday functions, but not BBT and WMFT for the UL function assessments. According to Shin et al. [69], VR-based rehabilitation led to better functional gains in the distal upper extremity than conventional rehabilitation. As a scientifically proven intervention strategy for stroke patients, VR training may augment high-intensity, task-oriented treatment. The VR task-oriented treatment provided by Shin et al. [67] is challenging enough for the participation of patients. According to Flow Theory, enjoyment occurs when the task’s challenges and the participant’s skills are balanced, and for some patients, this balance was not reached in a certain portion of or until the end of the intervention period, depending on their stage of recovery and other factors [76]. Thus, VR content with varying degrees of difficulty to fit a diverse group of patients with varying degrees of stroke severity and at varying stages of recovery may improve participants’ self-perceived efficacy and positive attitude toward training. According to Yoshida et al.’s research [84], including adequate exercise content may boost motivation in stroke patients. VAMR therapy could energize stroke patients, preventing demotivation from standard therapy.

Additionally, the experimental group outperformed the control group in terms of UL improvement, as VR-based rehabilitation provided tailored feedback [76]. With this customized visual and audible feedback, VR group participants can improve incorrect postures continuously. According to Prochnow et al. [85] and Zhang et al. [86], this VR-based rehabilitative processing is a characteristic of the human mirror neuron system. Patients can benefit from action observation as well as mirror visual feedback provided by the VR technology in the form of augmented feedback which might facilitate the recovery of the UL function [86].

Furthermore, Turolla et al. [29] indicated that the post-treatment FIM scores were marginally higher in the VR sample than in the standard therapy population. Activities of daily living include a wide variety of instrumental ADL tasks such as shopping, mailing, paying bills, using of automatic teller machine, collecting trash, playing games, reading the news, preparing meals, etc. [87]. Numerous ADL tasks could be incorporated into VR devices, allowing for a variety of tasks to be completed throughout the therapy period, which is one of the primary variables affecting patients’ motivation. This may also explain why VR systems perform better than traditional treatments at improving daily functions.

There is no significant difference in the laboratory tests (BBT and WMFT) compared with conventional treatment, and Lee et al. [76] also reported that the VR group participants’ hand efficiency and dexterity were not superior to the conventional group participants for a variety of reasons, including the difficulties of optimizing hand function in patients with chronic stroke and the shortcomings of current VR technology in identifying minor gestures, such as those of the fingertips. This could be recognized as a limitation of VR technology, and these should be more focused on accuracy in future development.

Our findings are consistent with the results of various latest meta-analyses that found that the VR-based treatment reported more changes in the FMA-UE result relative to their controls. For example, referring to Mekbib et al.’s analysis [77], there was a significant improvement in upper limb function in the VR group, compared to the control group, in line with our results. However, there are some differences compared with recent analyses, Mekbib et al. stated that there was significant impairment on the upper hand activity level while there was no apparent improvement regarding the same outcome in our findings [77]. In addition, Wiley et al. [22] concluded there were no differences in daily function tests in the VR groups compared to the control groups, while our review concluded that there was a positive effect on ADL recovery. The differences might be due to the variety of trials included, as more studies were included in our review and the number of participants was more diverse.

Limitations and recommendations for further research

This review has several limitations. First, one of the potential limitations is the diversity of VR treatment systems. We have not stratified the effectiveness of different treatments based on immersive and non-immersive VR, which might cause extraneous variability in the results. Another limitation is that our review includes studies that did not carry out subgroup analysis on different reality technologies. Furthermore, regarding the high heterogeneity of included studies, we have performed a subgroup analysis, however, there is still high heterogeneity in the analysis of each recovery stage according to the FMA-UE. Thus, mesh terms are not used in database searches, which means the search results may be limited. In addition, most findings of the outcome measures are related to motor functions, daily functions, and hand function measures, but not social functioning and cognition. This may be due to the inclusion criteria.

Future studies could be more focused on subgroup meta-analysis with stroke type and different reality technologies and include more high-quality trials examining the impact of VR, AR, and MR on hand functions. For further research on the outcome measures, not only randomized control trials but other studies could be included, for example, non-randomized controlled trials, cross-over studies, etc. With more studies examined, more types of assessment with high validity and reliability could be investigated. Besides, it could include lower limb or gait training studies in further research on the VAMR effectiveness.

Conclusions

VAMR-based stroke rehabilitation has grown rapidly in recent years, and these therapies are regarded as beneficial and with significant advantages. For most stroke patients, full recovery of hemiplegic upper limb function is difficult; this significantly impairs their ADL and social interaction. Enhancing the functional use of the upper limbs following a stroke is important, as the majority of daily tasks require the use of the upper limbs. Our study examined the types of VAMR interventions used in stroke rehabilitation, identified the most commonly used outcome measures and evaluated the effect of VAMR interventions as compared to traditional therapy. To conclude, VAMR has a significant positive effect on improving the UL impairment (as measured using the FMA-UE) and daily functions (as measured using the FIM) but not for the UL function tests (as measured using the BBT and WMFT). Future studies should investigate the effects of VR, AR, and MR treatments compared with traditional treatment by subgroup analysis, for example, on the types of strokes.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and its additional file.

Abbreviations

VAMR:

Virtual, augmented and mixed reality

VR:

Virtual reality

AR:

Augmented reality

MR:

Mixed reality

ADL:

Activities of daily living

FMA-UE:

Fugl-Meyer assessment for upper extremity

WMFT:

Wolf motor function test

BBT:

Box and block test

FIM:

Functional independence measure

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Acknowledgements

We would like to acknowledge the support from the Department of Industrial and Systems Engineering and Department of Rehabilitation Sciences, The Hong Kong Polytechnic University for this research. This project is also supported by the Laboratory for Artificial Intelligence in Design (Project Code: RP2-1) under the InnoHK Research Clusters, and Innovation and Technology Fund (Project Ref.: PRP/071/20FX), of the Hong Kong Special Administrative Region Government.

Funding

This research is funded by the Laboratory for Artificial Intelligence in Design (Project Code: RP2-1) under the InnoHK Research Clusters and Innovation and Technology Fund (Project Ref.: PRP/071/20FX), Hong Kong Special Administrative Region Government.

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, Hong Kong SAR

    Sze Chit Leong & Yuk Ming Tang

  2. Laboratory for Artificial Intelligence in Design, Hong Kong Science Park, New Territories, Hong Kong, Hong Kong SAR

    Sze Chit Leong & Yuk Ming Tang

  3. Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, Hong Kong SAR

    Fong Mei Toh & Kenneth N. K. Fong

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Contributions

Study objective: SCL, YMT Literature search: SCL, FMT. Data extraction: SCL, YMT. Methodological quality assessment: SCL, FMT. Critical review and approval of manuscript: YMT, FMT, KNKF. All authors read and approved the final manuscript.

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Correspondence to Yuk Ming Tang.

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Additional file 1.

Table S1. Search Strategy. Figure S1. Funnel plot of publication bias for FMA-UE outcomes. Figure S2. Funnel plot of publication bias for BBT outcomes. Figure S3. Funnel plot of publication bias for WMFT outcomes. Figure S4. Funnel plot of publication bias for FIM outcomes.

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Leong, S.C., Tang, Y.M., Toh, F.M. et al. Examining the effectiveness of virtual, augmented, and mixed reality (VAMR) therapy for upper limb recovery and activities of daily living in stroke patients: a systematic review and meta-analysis. J NeuroEngineering Rehabil 19, 93 (2022). https://doi.org/10.1186/s12984-022-01071-x

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Journal of NeuroEngineering and Rehabilitation

ISSN: 1743-0003

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