Relationship between dynamic balance and spatiotemporal gait symmetry in hemiplegic patients with chronic stroke

The Effectiveness of Overground Robot Exoskeleton Gait Training on Gait Outcomes, Balance, and Motor Function in Patients with Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

OBJECTIVE

This study aimed to investigate the effects of overground robot exoskeleton gait training on gait outcomes, balance, and motor function in patients with stroke.

METHODS

Following the PRISMA guidelines, literature searches were performed in the PubMed, EMBASE, Cochrane Central Register of Controlled Trials, SCOPUS, Ovid-LWW, and RISS databases. A total of 504 articles were identified, of which 19 were included for analysis after application of the inclusion and exclusion criteria. The included literature was qualitatively evaluated using the PEDro scale, while the Egger's regression, funnel plot, and trim-and-fill methods were applied to assess and adjust for publication bias.

RESULTS

The averaged PEDro score was 6.21 points, indicating a high level of methodological quality. In the analysis based on dependent variables, higher effect sizes were observed in the following ascending order: gait speed (g = 0.26), motor function (g = 0.21), gait ability (g = 0.18), Timed Up and Go Test (g = -0.15), gait endurance (g = 0.11), and Berg Balance Scale (g = 0.05). Subgroup analyses further revealed significant differences in Asian populations (g = 0.26), sessions lasting longer than 30 min (g = 0.37), training frequency of three times per week or less (g = 0.38), and training duration of four weeks or less (g = 0.25). Overall, the results of this study indicate that overground robot exoskeleton gait training is effective at improving gait speed in patients with stroke, particularly when the sessions exceed 30 min, are conducted three times or less per week, and last for four weeks or less.

CONCLUSION

our results suggest that training is an effective intervention for patients with stroke, provided that appropriate goal-setting and intensity and overground robot exoskeleton gait are applied.

Direct biomechanical manipulation of human gait stability: A systematic review

People fall more often when their gait stability is reduced. Gait stability can be directly manipulated by exerting forces or moments onto a person, ranging from simple walking sticks to complex wearable robotics. A systematic review of the literature was performed to determine: What is the level of evidence for different types of mechanical manipulations on improving gait stability? The study was registered at PROSPERO (CRD42020180631). Databases Embase, Medline All, Web of Science Core Collection, Cochrane Central Register of Controlled Trials, and Google Scholar were searched. The final search was conducted on the 1st of December, 2022. The included studies contained mechanical devices that influence gait stability for both impaired and non-impaired subjects. Studies performed with prosthetic devices, passive orthoses, and analysing post-training effects were excluded. An adapted NIH quality assessment tool was used to assess the study quality and risk of bias. Studies were grouped based on the type of device, point of application, and direction of forces and moments. For each device type, a best-evidence synthesis was performed to quantify the level of evidence based on the type of validity of the reported outcome measures and the study quality assessment score. Impaired and non-impaired study participants were considered separately. From a total of 4701 papers, 53 were included in our analysis. For impaired subjects, indicative evidence was found for medio-lateral pelvis stabilisation for improving gait stability, while limited evidence was found for hip joint assistance and canes. For non-impaired subjects, moderate evidence was found for medio-lateral pelvis stabilisation and limited evidence for body weight support. For all other device types, either indicative or insufficient evidence was found for improving gait stability. Our findings also highlight the lack of consensus on outcome measures amongst studies of devices focused on manipulating gait.

The effects of mechanical hippotherapy riding on postural control, balance, and quality of life (QoL) in patients with stroke

PURPOSED

This study aimed to investigate the effects of exercises by mechanical hippotherapy devices on postural control, balance, mobility, and Quality of Life in patients with stroke.

MATERIAL AND METHODS

This was a randomized controlled clinical trial with a total of 30 which were randomly divided into two groups. The participants in the mechanical hippotherapy group (MHG) (n = 15) were given exercises with a mechanical hippotherapy device for 15 min in addition to intensive conventional treatments (45 min), while the control group (CG) (n = 15) received additional 15 min of postural control and balance exercises for five days per week for four consecutive weeks. The primary outcome was The Berg Balance Scale (BBS). Secondary outcomes were the Fugl-Meyer (FM) Rating Scale, Biodex Balance Measurement (BBM), Trunk Impairment Scale (TIS), the Timed Up and Go Test (TUG) and quality of Life Short Form (SF-36).

RESULTS

In the MHG, FM-Lower extremity score (-6.4, p = 0.024), FM-Upper extremity score (-12.87, p = 0.013), TIS (-5.87, p = 0.04) and TUG (5.73, p = 0.027) improved statistically significant compared to CG.

CONCLUSION

Exercises using mechanical hippotherapy devices could improve postural control, functional mobility and balance in patients with stroke. It may also improve the quality of life.

CLINICAL TRIAL REGISTRATION NUMBER

NCT03528993IMPLICATIONS FOR REHABILITATIONNCT03528993It was concluded from our results that mechanical hippotherapy could be included in the treatment programs of stroke patients.

Validity and reliability of inertial measurement units for gait assessment within a post stroke population

BACKGROUND

The ability to objectively measure spatiotemporal metrics within individuals post-stroke is integral to plan appropriate intervention, track recovery, and ultimately improve efficacy of rehabilitation programs. Inertial measurement units (IMUs) provide a means to systematically collect gait-specific metrics that could not otherwise be obtained from clinical outcomes. However, the use of IMUs to measure spatiotemporal parameters in stroke survivors has yet to be validated. The purpose of this study is to determine the validity and reliability of IMU-recorded spatiotemporal gait metrics as compared to a motion capture camera system (MCCS) in individuals post-stroke.

METHODS

Participants (n = 23, M/F = 12/11, mean (SD) age = 50.2(11.1) spatiotemporal data were collected simultaneously from a MCCS and APDM Opal IMUs during a five-minute treadmill walking task at a self-selected speed. Criterion validity and test-retest reliability were assessed using Lin's concordance correlation coefficients (CCCs) and intraclass correlation coefficients (ICCs), respectively. Spatiotemporal values from MCCS and IMU were used to calculate gait asymmetry, and a t-test was used to assess the difference between asymmetry values.

RESULTS

There were fair-to-excellent agreement between IMU and MCCS of temporal parameters (CCC 0.56-0.98), excellent agreement of spatial parameters (CCC >0.90), and excellent test-retest reliability for all parameters (ICC >0.90).

CONCLUSIONS

Compared to motion capture, the APDM Opal IMUs produced accurate and reliable measures of spatiotemporal parameters. Findings support the use of IMUs to assess spatiotemporal parameters in individual's post-stroke.

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

BACKGROUND

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.

OBJECTIVE

We aimed to determine the most accurate clinical machine learning (ML) algorithm for predicting fall-related balance factors and identifying RAGT attributes.

METHODS

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.

RESULTS

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.

CONCLUSION

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 effect of action observation training on gait and balance of patients with neurological and musculoskeletal disorders: A systematic review

Background

Various treatment approaches are being applied for recovery of gait after different medical conditions. Action observation is a new motor learning approach, which is considered as a complementary training to the conventional rehabilitation programs such as occupational therapy for this purpose.

Objective

To find out which patients benefit more from action observation training.

Methods

Electronic databases, including Scopus, PubMed, Web of Science, Science Direct, and PEDro were searched. Prospective studies published in peer-reviewed journals with full text available in English, which investigated the effect of action observation on gait and balance of patients with neurologic or musculoskeletal disorders, were included. The methodological quality of the studies was assessed by the Downs and Black checklist, and the information was presented based on the PICO style.

Results

Nineteen studies recruiting post-orthopedic patients (4 studies), patients with stroke (11 studies), and Parkinson’s disease (4 studies) fulfilled the eligibility criteria. Quality scores ranged from 51.85% to 81.48%. Balance and walking ability were the most reported primary outcomes.

Conclusion

Patients in the chronic phase of stroke might benefit more from action observation training plus occupational therapy in different aspects of gait than orthopedic patients and those with Parkinson’s disease.

Utilization of Robotic Exoskeleton for Overground Walking in Acute and Chronic Stroke

Stroke commonly results in gait deficits which impacts functional ambulation and quality of life. Robotic exoskeletons (RE) for overground walking are devices that are programmable to provide high dose and movement-impairment specific assistance thus offering new rehabilitation possibilities for recovery progression in individuals post stroke. The purpose of this investigation is to present preliminary utilization data in individuals with acute and chronic stroke after walking overground with an RE. Secondary analysis on a subset of individuals is presented to understand the mechanistic changes due to RE overground walking. Thirty-eight participants with hemiplegia secondary to stroke were enrolled in a clinical trial conducted at eight rehabilitation centers. Data is presented for four sessions of overground walking in the RE over the course of 2 weeks. Participants continued their standard of care if they had any ongoing therapy at the time of study enrollment. Gait speed during the 10 Meter Walk Test, Gait deviations and the Functional Ambulation Category (FAC) data were collected before (baseline) and after (follow-up) the RE walking sessions. Walking speed significantly increased between baseline and follow-up for participants in the chronic (p <0.01) and acute (p < 0.05) stage of stroke recovery. FAC level significantly improved (p < 0.05) and there were significantly fewer (p < 0.05) gait deviations observed for participants in the acute stages of stroke recovery between baseline and follow-up. Secondary analysis on a subset of eight participants indicated that after four sessions of overground walking with the RE, the participants significantly improved their spatial symmetry. The walk time, step count and ratio of walk time to up time increased from first session to the last session for participants in the chronic and acute stages of stroke. The RE was effectively utilized for overground walking for individuals with acute and chronic stroke with varying severity levels. The results demonstrated an increase in walking speed, improvement in FAC and a decrease in gait deviations (from baseline to follow-up) after four sessions of overground walking in the RE for participants. In addition, preliminary data indicated that spatial symmetry and step length also improved after utilization of an RE for overground walking.

Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study

BACKGROUND

Robot-assisted gait training has been confirmed to have beneficial effect on the rehabilitation of stroke patients. An exoskeleton robot, named BEAR-H1, is designed to help stroke patients with walking disabilities.

METHODS

17 subjects in experimental group and 15 subjects in control group completed the study. The experimental group received 30 minutes of BEAR-H1 assisted gait training(BAGT), and the control group received 30 minutes of conventional training, 5 times/week for 4weeks. All subjects were evaluated with 6-minute walk test (6MWT), Fugl-Meyer Assessment for lower extremity (FMA-LE), Functional Ambulatory Classification (FAC), Modified Ashworth Scale (MAS), and gait analysis at baseline and after 4 weeks intervention.

RESULTS

The improvements of 6MWT, FMA-LE, gait speed, cadence, step length and cycle duration in BAGT group were more noticeable than in the control group. However, there was no difference in the assessment of MAS between two groups.

CONCLUSIONS

Our results showed that BAGT is an effective intervention to improve the motor and walking ability during 4 weeks training for subacute stroke patients.

Feasibility of training using full immersion virtual reality video game in young stroke survivor: A case report

BACKGROUND

With the recent developments in science, full-immersion virtual reality devices have been developed, which may have feasibility for stroke rehabilitation.

OBJECTIVE

This case report investigated the feasibility of training using a full-immersion virtual reality video game for improving motor function, balance, and gait in a young stroke survivor.

METHOD

The case was a 27-year-old woman with stroke. A training using full-immersion virtual reality video game (Sony PlayStation®VR) was performed for 30 minutes per session, 3 sessions per week, for 6 weeks, with a total of 18 sessions. Before training and at each training for 6 weeks, with a total of 19 times, the motor function, balance, and gait were assessed using the Motor Assessment Scale (MAS), Berg Balance Scale (BBS), Timed Up and Go (TUG) Test, and Tinetti Balance Assessment, 10 Meter Walk Test (10MWT), Tinetti Gait Assessment, and Dynamic Gait Index (DGI).

RESULTS

During the training, there were no adverse events reported. The case achieved 14 points higher than the pre-assessment with 34 points on the MAS, 16 points higher than the pre-assessment with 48 points on BBS, 6.85 sec lower than the pre-assessment, with 13.58 sec on TUG, 5 points higher than the pre-assessment with 13 points on the Tinetti Balance Assessment, 5.36 sec lower than the pre-assessment, with 8.15 sec on the 10MWT, 4 points higher than the pre-assessment with 10 points on the Tinetti Gait Assessment, and 10 points higher than the pre-assessment with 21 points on the DGI.

CONCLUSION

This case report suggests that training using a full-immersion virtual reality video game may be a safe and effective method to improve motor function, balance, and gait in a young stroke survivor.

Early balance training with a computerized stabilometric platform in persons with mild hemiparesis in subacute stroke phase: A randomized controlled pilot study

BACKGROUND

Along with conventional therapy, novel tools are being developed in balance training for the rehabilitation of persons with stroke sequelae. The efficacy of Computerized Balance Training thus far been the object of studies only in persons with chronic stroke.

OBJECTIVE

To investigate the effects of an early Computerized Balance Training on balance, walking endurance and independence in activities of daily living, in persons with mild hemiparesis in subacute phase.

METHODS

Thirty-two persons with a recent hemiparesis (within 4 weeks from stroke onset), able to maintain a standing position for at least 30 seconds, were randomly assigned to an experimental or control group. The control group (CG) were administered conventional physiotherapy of 40 minutes twice a day, 5 times a week for 4 weeks, while the experimental group (EG) underwent conventional physiotherapy 40 minutes once a day and Computerized Balance Training once a day, 5 times a week for 4 weeks. Outcomes were evaluated by means of Berg Balance Scale (BBS), Tinetti Balance Scale (TBS), Two Minutes Walk Test (2MWT), Barthel Index (BI) and stabilometric tests.

RESULTS

Twelve participants for each group completed the training. Each group experienced 8 dropouts. The mean age (years) was 58.1±20.4 for EG and 59.7±14,7 for CG; the days from stroke were respectively 27.9±15.5 and 20±11.7. The difference between the two groups was statistically significant in experimental group for BBS (p = 0.003), for TBS (p = 0.028), for Sensory Integration and Balance tests performed with closed eyes on steady (p = 0.009) or instable surface (p = 0.023). and for 2MWT (p = 0.008).

CONCLUSIONS

Computerized Balance Training is an effective therapeutic tool for balance and gait endurance improvement in persons with stroke in subacute phase.

DIFFERENCES IN GAIT PATTERNS BETWEEN PATIENTS WITH SWEDD AND NORMAL SUBJECTS

Whether gait assessment can distinguish patients with scans without evidence of dopaminergic deficit (SWEDD) from normal individuals remains unclear. In the present study, the gait patterns in SWEDD patients and normal individuals were investigated. 10 patients with SWEDD and 10 healthy normal subjects were recruited. A GaitRite linear walkway was used to quantitatively assess level walking. Eight spatiotemporal variables were selected for comparison between two groups. For statistical analysis, independent sample [Formula: see text]-tests were performed to compare between normal individuals and SWEDD patients. Compared with normal individuals, SWEDD patients exhibited a shorter step length ([Formula: see text]). In addition, SWEDD patients showed a wider distribution of heel-to-heel (HH) base of support compared with normal individuals ([Formula: see text]). SWEDD patients had a tendency to deteriorated gait speed ([Formula: see text]) and double-limb support cycle ([Formula: see text]). These results indicate that SWEDD patients adopted a walking strategy that utilized increased step length and width to compensate for deteriorated dynamic balance. These results indicate that quantitative gait assessment could be useful for more accurate diagnosis of SWEDD patients. In addition, understanding clinical features of SWEDD patients might contribute to efficient interventions.