Effects Of Robot-assisted Gait Training Research Articles

Effects of high-intensity interval robot-assisted gait training on cardiopulmonary function and walking ability in chronic stroke survivors: A multicenter single-blind randomized controlled trial.

Chronic stroke can impair cardiopulmonary function, mobility, and daily activities. This study assessed the impact of robot-assisted gait training (RAGT) on such impairments. To investigate the effects of robot-assisted gait training on cardiopulmonary function, walking ability, lower extremity function and strength, activities of daily living (ADLs), and blood test results among individuals with chronic stroke. A multicenter, prospective, single-blinded, randomized controlled trial with 22 chronic stroke participants compared RAGT against a control exercise regimen. RAGT involved three days weekly sessions of high-intensity interval training for 8 weeks (24 sessions) with a Morning Walk® device. The control group also performed home exercises. (24 sessions) Measures included VO2max, Functional Ambulatory Category, 2-minute walk test, 10-meter walk test, Motricity Index-Lower, Korean version of the Fugl-Meyer Assessment Scale, Modified Barthel Index, Berg Balance Scale, muscle strength, InBody body composition, and blood tests (cholesterol, lipid, glucose). RAGT significantly improved VO2max, gait, balance, and lower limb strength compared with controls, with significant improvements in 2-minute walk test, 10-meter walk test, Motricity Index-Lower, and Fugl-Meyer Assessment outcomes. No changes were seen in muscle mass or blood markers. RAGT enhances cardiopulmonary function and ambulatory capacity in chronic stroke patients, underscoring its potential in stroke rehabilitation.

Effects of robot-assisted gait training using the Welwalk on gait independence for individuals with hemiparetic stroke: an assessor-blinded, multicenter randomized controlled trial

BackgroundGait disorder remains a major challenge for individuals with stroke, affecting their quality of life and increasing the risk of secondary complications. Robot-assisted gait training (RAGT) has emerged as a promising approach for improving gait independence in individuals with stroke. This study aimed to evaluate the effect of RAGT in individuals with subacute hemiparetic stroke using a one-leg assisted gait robot called Welwalk WW-1000.MethodsAn assessor-blinded, multicenter randomized controlled trial was conducted in the convalescent rehabilitation wards of eight hospitals in Japan. Participants with first-ever hemiparetic stroke who could not walk at pre-intervention assessment were randomized to either the Welwalk group, which underwent RAGT with conventional physical therapy, or the control group, which underwent conventional physical therapy alone. Both groups received 80 min of physical therapy per day, 7 days per week, while the Welwalk group received 40 min of RAGT per day, 6 days per week, as part of their physical therapy. The primary outcome was gait independence, as assessed using the Functional Independence Measure Walk Score.ResultsA total of 91 participants were enrolled, 85 of whom completed the intervention. As a result, 91 participants, as a full analysis set, and 85, as a per-protocol set, were analyzed. The primary outcome, the cumulative incidence of gait-independent events, was not significantly different between the groups. Subgroup analysis revealed that the interaction between the intervention group and stroke type did not yield significant differences in either the full analysis or per-protocol set. However, although not statistically significant, a discernible trend toward improvement with Welwalk was observed in cases of cerebral infarction for the full analysis and per-protocol sets (HR 4.167 [95%CI 0.914–18.995], p = 0.065, HR 4.443 [95%CI 0.973–20.279], p = 0.054, respectively).ConclusionsThe combination of RAGT using Welwalk and conventional physical therapy was not significantly more effective than conventional physical therapy alone in promoting gait independence in individuals with subacute hemiparetic stroke, although a trend toward earlier gait independence was observed in individuals with cerebral infarction.Trial registrationThis study was registered with the Japan Registry of Clinical Trials (https://jrct.niph.go.jp; jRCT 042180078) on March 3, 2019.

How robot-assisted gait training affects gait ability, balance and kinematic parameters after stroke: a systematic review and meta-analysis.

Gait ability is often cited by stroke survivors. Robot-assisted gait training (RAGT) can help stroke patients with lower limb motor impairment regain motor coordination. PubMed, Cochrane Library, Embase were systematically searched until September 2023, to identify randomized controlled trials presenting: stroke survivors as participants; RAGT as intervention; conventional rehabilitation as a comparator; gait assessment, through scales or quantitative parameters, as outcome measures. Twenty-seven publications involving 1167 patients met the inclusion criteria. Meta-analysis showed no significant differences in speed, cadence, spatial symmetry, and changes in joint mobility angles between the RAGT group and the control group. In addition, RAGT was associated with changes in affected side step length (SMD=0.02, 95% CI: 0.01, 0.03; P<0.0001), temporal symmetry (SMD=-0.38, 95% CI: -0.6, -0.16; P=0.0006], Six-Minute Walk Test (SMD=25.14, 95% CI: 10.19, 40.09; P=0.0010] and Functional Ambulation Categories (SMD=0.32, 95% CI: 0.01, 0.63; P=0.04). According to the PEDro scale, 19 (70.4%) studies were of high quality and eight were of moderate quality (29.6%). Taken together, the review synthesis showed that RAGT might have a potential role in the recovery of walking dysfunction after stroke. However, its superiority over conventional rehabilitation requires further research. Additionally, it may provide unexpected benefits that the effects of RAGT with different types or treatment protocols were further compared.

The feasibility and effect of robot-assisted gait training frequency on gait functions in children with cerebral palsy – A single blinded, randomized pilot study

Introduction. The aim of this study is to investigate the feasibility and the effect of Robot-assisted gait training (RAGT) frequency on gait functions in children with diplegic cerebral palsy (CP). We hypothesized that RAGT with the increased frequency (4 times a week) will result in greater improvements than RAGT with the common frequency (2 times a week). Material and methods. Fourteen participants with diplegic CP were assigned to two groups that received only RAGT at different frequencies. The treatment group (TG) received 24 sessions while the control group (CG) received only 12 sessions over 6 weeks. Gross motor function measure (GMFM) D, GMFM E, walking distance (6 minute-walk test), speed (10 meter-walk test), balance (Pediatric balance scale), and the quality of gait (Edinburgh visual gait score) were assessed. Data was collected twice, before and after RAGT intervention period. Also, the feasibility was assessed by the safety and the rates of recruitment, compliance, and adherence. Result. There was significant improvement in GMFM D, GMFM E, walking distance, balance, and the quality of gait in both groups (p &lt; 0.05). Walking speed has been significantly improved only in TG. The difference in the quality of gait is greater in TG (p &lt; 0.01) compared to CG (p &lt; 0.05). The recruitment rate was 70%. 100% of recruited participants complied with and adhered to the intervention. No adverse events were reported. Conclusion. RAGT with the increased frequency could induce greater improvement in gait functions than RAGT with the common frequency in children with diplegic CP.

Effect of robot-assisted gait training on motor dysfunction in Parkinson's patients:A systematic review and meta-analysis.

Robot-assisted gait training (RAGT) has been reported to treat motor dysfunction in patients with Parkinson's disease (PD) in the last few years. However, the benefits of RAGT for treating motor dysfunction in PD are still unclear. To investigate the efficacy of RAGT for motor dysfunction in PD patients. We searched PubMed, Web of Science, Cochrane Library, Embase, CNKI, Wanfang, Chinese Biomedical Literature Database (CBM), and Chinese VIP Database for randomized controlled trials investigating RAGT to improve motor dysfunction in PD from the databases' inception dates until September 1, 2022. The following outcome indexes were employed to evaluate motor dysfunction: the Berg Balance Scale (BBS), Activities-specific Balance Confidence Scale (ABC), 10-Meter Walk Test gait speed (10-MWT), gait speed, stride length, cadence Unified Parkinson Disease Rating Scale Part III (UPDRS III), 6-Minute Walk Test (6MWT), and the Timed Up and Go test (TUG). The meta-analysis was performed using the proper randomeffect model or fixed-effect model to evaluate the difference in efficacy between the RAGT and the control groups. The Cochrane Risk of Bias Tool was used for the included studies and Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) was used to interpret the certainty of the results. The results consisted of 17 studies comprising a total of 670 participants. Six hundred and seven PD patients with motor dysfunction were included: 335 in the RAGT group and 335 in the control group. This meta-analysis results established that when compared with the control group, robot-assisted gait training improved the BBS results of PD patients (MD: 2.80, 95%CI: 2.11-3.49, P< 0.00001), ABC score (MD: 7.30, 95%CI: 5.08-9.52, P< 0.00001), 10-MWT (MD: 0.06, 95%CI: 0.03-0.10, P= 0.0009), gait speed (MD: 3.67, 95%CI: 2.58-4.76, P< 0.00001), stride length (MD: 5.53, 95%CI: 3.64-7.42, P< 0.00001), cadence (MD: 4.52, 95%CI: 0.94-8.10, P= 0.01), UPDRS III (MD: -2.16, 95%CI: -2.48--1.83, P< 0.00001), 6MWT (MD: 13.87, 95%CI: 11.92-15.82, P< 0.00001). However, RAGT did not significantly improve the TUG test result of patients with PD (MD =-0.56, 95% CI: -1.12-0.00, P= 0.05). No safety concerns or adverse reactions among robot-assisted gait training patients were observed. Even though RAGT can improve balance function, walking function, and gait performance and has demonstrated positive results in several studies, there is currently insufficient compelling evidence to suggest that it can improve all aspects of lower motor function.

Simultaneous high-definition transcranial direct current stimulation and robot-assisted gait training in stroke patients

This study investigates whether simultaneous high-definition transcranial direct current stimulation (HD-tDCS) enhances the effects of robot-assisted gait training in stroke patients. Twenty-four participants were randomly allocated to either the robot-assisted gait training with real HD-tDCS group (real HD-tDCS group) or robot-assisted gait training with sham HD-tDCS group (sham HD-tDCS group). Over four weeks, both groups completed 10 sessions. The 10 Meter Walk Test, Timed Up and Go, Functional Ambulation Category, Functional Reach Test, Berg Balance Scale, Dynamic Gait Index, Fugl-Meyer Assessment, and Korean version of the Modified Barthel Index were conducted before, immediately after, and one month after the intervention. The real HD-tDCS group showed significant improvements in the 10 Meter Walk Test, Timed Up and Go, Functional Reach Test, and Berg Balance Scale immediately and one month after the intervention, compared with before the intervention. Significant improvements in the Dynamic Gait Index and Fugl-Meyer Assessment were also observed immediately after the intervention. The sham HD-tDCS group showed no significant improvements in any of the tests. Application of HD-tDCS during robot-assisted gait training has a positive effect on gait and physical function in chronic stroke patients, ensuring long-term training effects. Our results suggest the effectiveness of HD-tDCS as a complementary tool to enhance robotic gait rehabilitation therapy in chronic stroke patients.

Effects of robot-assisted gait training on motor performance of lower limb in poststroke survivors: a systematic review with meta-analysis.

This study aimed to investigate the effects of robot-assisted gait training (RAGT) on improving walking ability, and to determine the optimal dosage of task-specific training based on RAGT for stroke patients. Two investigators independently searched electronic databases, including PubMed, Embase, Cochrane Library, and Physiotherapy Evidence Database (PEDro) from inception to 31 January 2020. The study design was a systematic review with meta-analysis of randomized controlled trials (RCTs), comparing the intervention of RAGT plus conventional therapy to conventional therapy alone. RCTs mainly focus on lower limb motor function as the primary outcomes, while the secondary outcomes involve gait speed, walking distance, cadence, balance, and activities of daily living (ADL). Pooled effect estimates were calculated by comparing the change from baseline to the end of the study in each group. Twenty-eight RCTs were included. The pooled analysis showed that RAGT had a significantly short-term effect on improving lower limb function [standardized mean difference (SMD) 0.32, 95% CI 0.10 to 0.55]. Additionally, there were significant improvements in gait speed (MD 0.10, 95% CI 0.06 to 0.14) and ADL (SMD 0.17, 95% CI 0.02 to 0.32). Subgroup analyses indicated that RAGT lasting for 30-60 minutes per day over 4 weeks yielded a moderate effect size (SMD 0.53, 95% CI 0.16 to 0.90). Additionally, RAGT significantly promoted lower limb function recovery in the early stage after a stroke (SMD 0.33, 95% CI 0.07 to 0.58) or in non-ambulatory patients (SMD 0.35, 95% CI 0.10 to 0.59). RAGT demonstrated significant positive effects on lower limb function post-stroke. Our results provide additional evidence to support that RAGT is a potentially appropriate intervention to promote lower limb recovery in individuals who have had a stroke.

Effects of robotic-assisted gait training on physical capacity, and quality of life among chronic stroke patients: A randomized controlled study

BackgroundEven though robotic therapy is becoming more commonly used in research protocols for lower limb stroke rehabilitation, there still is a significant gap between research evidence and its use in clinical practice. Therefore, the present study was designed assuming that the wearable mobile gait device training for chronic stroke patients might have different effects on functional independence when compared to training with a stationary gait device. The present study aims to examine the effects of gait training with ExoAthlet exoskeleton and Lokomat Free-D on functional independence, functional capacity, and quality of life in chronic stroke patients. MethodsThe present study included 32 chronic stroke patients. Participants were randomly divided into two groups. Functional independence of patients was evaluated by using Functional Independence Measure (FIM), physical function was assessed by using the 30-second chair stand test (30-CST), functional capacity was measured by using the 6-Minute Walk Test (6MWT), and quality of life was assessed by using Short Form 36 (SF36). All participants underwent a conventional physiotherapy program for eight weeks, three sessions per week, and each session lasted 60 min. After the physiotherapy program, one group received gait training by using ExoAthlet exoskeleton (ExoAtlet 1 model/2019, Russia), while the other group received training by using Lokomat Free-D (Hocoma, Lokomat Pro Free-D model/2015, Switzerland). Participants were assessed at baseline and post-intervention. ResultsResults achieved in this study revealed that there was a statistically significant difference between FIM, 30-CST, 6MWT, and SF36 scores before and after the treatment in both groups (p < 0.05).There was no difference in FIM, 30-CST, and 6MWT results between Exoskeleton ExoAthlet and Lokomat Free-D groups (p > 0.05). However, there was a statistically significant difference between Exoskeleton ExoAthlet and Lokomat Free-D groups in terms of SF-36 sub-parameters “vitality”, “mental health”, “bodily pain”, and “general health perception” (p < 0.05). ConclusionsThis study demonstrated that the use of ExoAthlet exoskeleton and Lokomat Free-D in addition to conventional physiotherapy, was effective in improving functional independence, physical function, functional capacity, and quality of life among chronic stroke patients. Incorporation of robotic gait aids into rehabilitation for chronic stroke patients might offer significant advantages.

Effect of robot-assisted gait training on functional capabilities in individuals with cerebral palsy: a systematic review and meta-analysis

Effect of robot-assisted gait training on functional capabilities in individuals with cerebral palsy: a systematic review and meta-analysis

Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models.

Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predictors of fall-related balance and effective RAGT attributes remain unclear in post-stroke patients at a high risk of fall. We aimed to determine the most accurate clinical machine learning (ML) algorithm for predicting fall-related balance factors and identifying RAGT attributes. We applied five ML algorithms- logistic regression, random forest, decision tree, support vector machine (SVM), and extreme gradient boosting (XGboost)- to a dataset of 105 post-stroke patients undergoing RAGT. The variables included the Berg Balance Scale score, walking speed, steps, hip and knee active torques, functional ambulation categories, Fugl- Meyer assessment (FMA), the Korean version of the Modified Barthel Index, and fall history. The random forest algorithm excelled (receiver operating characteristic area under the curve; AUC = 0.91) in predicting balance improvement, outperforming the SVM (AUC = 0.76) and XGboost (AUC = 0.71). Key determinants identified were knee active torque, age, step count, number of RAGT sessions, FMA, and hip torque. The random forest algorithm was the best prediction model for identifying fall-related balance and RAGT determinants, highlighting the importance of key factors for successful RAGT outcome performance in fall-related balance improvement.

The Effects of Robot-Assisted Gait Training on the Gait Pattern and Balance Ability of Patients with Chronic Stroke

The Effects of Robot-Assisted Gait Training on the Gait Pattern and Balance Ability of Patients with Chronic Stroke

The Effect of Robot-Assisted Gait Training with Rhythmic Auditory Stimulation on Lower Limb Function, Balance and Gait in Hemiplegic Stroke Patients

The Effect of Robot-Assisted Gait Training with Rhythmic Auditory Stimulation on Lower Limb Function, Balance and Gait in Hemiplegic Stroke Patients

뇌성마비 아동의 로봇 보조 보행 훈련 사례연구

Objective: The purpose of the case study was to investigate the immediate effect of Robot-assisted gait training in children with spastic bilateral cerebral palsy (CP).&#x0D; Method: This case study reports on the outcomes of a 8-week intervention of robotic-assisted gait training administered to 5 years and 6 years old children with spastic bilateral CP each.&#x0D; Results: Improvements were noted in gait velocity, cadence, and YJ's motor function improved by 51 % to 56 % in the areas of walking, running and hopping. SW's motor function improved from 74 % to 79 %, and walking, running, and hopping areas improved from 51 % to 53 %.&#x0D; Conclusion: Robotic-assisted gait training may be beneficial in enhancing locomotion in children with CP.

Polysomnography in patients with spinal cord injury who underwent robotic assisted gait training

IntroductionObstructive sleep apnea in spinal cord injured (SCI) patients is an important but underestimated clinical problem. Spinal cord injury weakens the muscles responsible for breathing, resulting in a reduction in lung capacity. Training of respiratory muscles may present an effective method of increasing respiratory muscle strength and lung volume.AimThe aim of study was to evaluate the effectiveness of robot-assisted gait training (RAGT) in 34 patients with SCI in sleep-disordered breathing (SDB) reduction.Material and methodsWe conducted a control trail to compare RAGT (exoskeleton EKSO-GT or Locomat Pro) with conventional gait training using conventional physiotherapy with dynamic parapodium. We included patients with SCI (above T8 level of injury) recruited between 3 months and 2 years post injury. Polysomnographic studies were performed before and after the completion of the 7-week rehabilitation program. Patients were divided into 2 groups above and up 40 years old.Results and discussionThe comparison of all polysomnographic parameters before and after rehabilitation with RAGT revealed the decline in all polysomnographic parameters (the apnea-hypopnea index – AHI; score reached statistically significant value – &lt;i&gt;P&lt;/i&gt; &lt; 0.02). In comparison in patients aged up to 40 years with conventional gait rehabilitation the number of apnoea’s and shortness of breath during sleep even increased: the AHI index increased after rehabilitation from 1.7 to 3.2 values.ConclusionsRAGT therapy should be considered as a therapeutic option for SDB reduction in patients after SCI. Additionally, the study identified the need to conduct further studies on larger groups of patients.

Effect of robotic-assisted gait training on gait and motor function in spinal cord injury: a protocol of a systematic review with meta-analysis

IntroductionRobotic-assisted gait training (RAGT) has been reported to be effective in rehabilitating patients with spinal cord injury (SCI). However, studies on RAGT showed different results due to a varied number...

The effects of Robot-assisted gait training and virtual reality on balance and gait in stroke survivors: A randomized controlled trial

BackgroundStroke survivors often experience balance and gait problems, which can affect their quality of life and independence in daily living activities. Robot-assisted gait training, such as Lokomat with virtual reality, has been found to be effective in improving gait and balance. However, the specific effects of each virtual reality application on balance and spatiotemporal parameters of gait are not yet established. This study aims to investigate the effects of different virtual reality applications on these parameters. Research questionWhat are the specific effects of each Lokomat augmented performance feedback application on balance and spatiotemporal parameters of gait in stroke survivors? MethodsThe study is a randomized controlled trial conducted with four groups: Control Group, Endurance Group, Attention and Motivation Group, and Activity Timing Group. All participants received six weeks of physiotherapy, and Lokomat groups had additional robot-assisted gait training with Lokomat for three days a week. The Endurance group used Lokomat with Faster, Attention and Motivation Group with Gabarello and Smile, and Activity Timing Group with Curve Pursuit, Treasures, and High Flyer applications. Various tests were used to assess walking and balance in the study (gait analysis, 6-minute walk test, 10-meter walk test, Berg Balance Scale, postural stability, and limits of stability). Results and significanceThe study involved 56 male stroke survivors (mean age: 60.02 ± 6.83 years, post-stroke time: 238.88 ± 40.88 days). All groups improved walking speed and distance significantly, but Endurance was better (p < 0.001). Balance improved significantly in all groups, but Attention and Motivation was superior in Berg Balance Scale, postural stability, and limits of stability (p < 0.001). The selection of virtual reality applications during robot-assisted gait training according to rehabilitation goals is important for successful rehabilitation, as these applications may have varying effects on balance and walking.

Effect of Robot-Assisted Gait Training on Multiple Sclerosis: A Systematic Review and Meta-analysis of Randomized Controlled Trials

Background In recent meta-analyses, robot-assisted gait training for patients with multiple sclerosis (MS) have yielded limited clinical benefits compared with conventional overground gait training. Objective To investigate the effect of robot-assisted gait training for patients with MS on clinical outcomes through a systematic review and meta-analysis. Methods We searched for relevant studies in the PubMed, EMBASE, Cochrane Library, and Physiotherapy Evidence Database databases from their inception to April 7, 2022. We selected studies that (1) included participants with MS, (2) used robot-assisted gait training as the intervention, (3) included conventional overground gait training or another gait training protocol as control treatment, and (4) reported clinical outcomes. Continuous variables are expressed as standardized mean differences with 95% confidence intervals. Statistical analyses were performed using RevMan 5.4 software. Results We included 16 studies enrolling 536 participants. Significant improvement was observed in the intervention group, with low heterogeneity at the end of the intervention with regard to walking velocity (standardized mean difference [SMD]: 0.38, 95% confidence interval [CI]: [0.15, 0.60]), walking endurance (SMD: 0.26, 95% CI [0.04, 0.48]), mobility (SMD: −0.37, 95% CI [−0.60, −0.14]), balance (SMD: 0.26, 95% CI [0.04, 0.48]), and fatigue (SMD: −0.27, 95% CI [−0.49, −0.04]). The results of subgroup analyses revealed improvements in these outcomes for the intervention group using grounded exoskeletons. No significant differences were noted in all the outcomes between the groups at follow-up. Conclusions Robot-assisted gait training with grounded exoskeletons exerts a positive short-term effect and is an adequate treatment option for patients with MS.

Effect of Robot-Assisted Gait Training on Lower Limb Motor Function of Children with Cerebral Palsy： A Meta-Analysis

Effect of Robot-Assisted Gait Training on Lower Limb Motor Function of Children with Cerebral Palsy： A Meta-Analysis

The effect of robot-assisted gait training frequency on walking, functional recovery, and quality of life in patients with stroke.

This study aims to investigate the effects of robot-assisted gait training (RAGT) frequency on walking, functional recovery, QoL and mood. Sixty patients aged 50-75, diagnosed with post-stroke hemiplegia were entered into the retrospective analysis. Participants who scored maximum 3 on the Modified Rankin Scale and were diagnosed with moderate stroke according to The NIH Stroke Scale were included in the study. The participants in group 1 (G1) received only conventional treatment (CT), in group 2 (G2) participants received one session of RAGT per week in addition to the CT program, and group 3 (G3) received two sessions of RAGT per week in addition to the CT program. 6-min walk test (6-MWT), Barthel Index (BI), Stroke-Specific Quality of Life Scale (SSQoL), and Beck Depression Inventory (BDI) were recorded. Median change in SSQoL of G3 was significantly higher from median change of G1 (p < 0.05), and median change in BDI of G3 was significantly lower than median change of G1 (p < 0.05). Median change in BDI of G3 was also significantly lower from change of G2 (p < 0.05). Two weekly sessions of RAGT in addition to CT exhibit positive effects on QoL and mood but no additional contribution to functional status.

Effect of robot-assisted gait training on quality of life and depression in neurological impairment: A systematic review and meta-analysis

Objective Robot-assisted gait training (RAGT) is often used as a rehabilitation tool for neurological impairments. The purpose of this study is to investigate the effects of rehabilitation with robotic devices on quality of life and depression. Data sources Two electronic databases (MEDLINE and Scopus) were searched for studies from inception up to December 2022. Review methods Randomized controlled trials (RCTs) and non-RCTs were pooled separately for analyses, studying each one’s mental and physical health and depression. Random effect meta-analyses were run using standardized mean difference and 95% confidence interval (CI). Results A total of 853 studies were identified from the literature search. 31 studies (17 RCTs and 14 non-RCTs) including 1151 subjects met the inclusion criteria. 31 studies were selected for the systematic review and 27 studies for the meta-analysis. The outcome measure of mental health significantly improved in favor of the RAGT group in RCTs and non-RCTs (adjusted Hedges’g 0.72, 95% CI: 0.34–1.10, adjusted Hedges g = 0.80, 95% CI 0.21-1.39, respectively). We observed a significant effect of RAGT on physical health in RCTs and non-RCTs (adjusted Hedges’g 0.58, 95% CI 0.28, 0.88, adjusted Hedges g = 0.73, 95% CI 0.12, 1.33). After realizing a sensitivity analysis in RCTs, a positive impact on depression is observed (Hedges’ g of −0.66, 95% CI −1.08 to −0.24). Conclusion This study suggests that RAGT could improve the quality of life of patients with neurological impairments. A positive impact on depression is also observed in the short term. Further studies are needed to differentiate grounded and overgrounded exoskeletons as well as RCT comparing overground exoskeletons with a control group.