Effectiveness of robotics in improving upper extremity functions among people with neurological dysfunction: a systematic review

Technology-Enabled Upper Limb Rehabilitation for Neurological Impairment: A Feasibility Randomized-Controlled Trial Protocol

Background. Technology-enabled upper limb (UL) rehabilitation improves therapy intensity and impairment outcomes, however clinical usage remains low and evidence for functional outcomes is limited. While benefits of single-mode technologies have been demonstrated, a combination of technology modes or "hybrid" approach is an emerging option with shoulder to fingertip capability. Investigation of this approach within a hospital setting is warranted to inform occupational therapy practice with neurological patients. Purpose. This study examines feasibility of hybrid technology-enabled UL rehabilitation for in-patients with neurological impairments. Method and Analyses. A Phase II feasibility randomized controlled trial (RCT) will compare usual care versus hybrid technology intervention using three technology modes (robotics, virtual reality, sensor-based therapy) plus usual care. Pre-post outcomes for UL impairment, activity, participation and self-reported function will be analyzed using 2 × 2 repeated measures ANOVA. Effect sizes will inform a power analysis for a full-scale RCT. Field observations and participant surveys will capture feasibility factors. It is anticipated hybrid technology for UL neurorehabilitation will be feasible in a hospital setting and show preliminary effectiveness for improving UL use in daily activities. Ethics and Dissemination. Ethics granted from RBWH Human Research Ethics Committee (HREC/2020/QRBW/67076) and The University of Queensland (2021/HE002211).

Effects of robot-assisted arm training on respiratory muscle strength, activities of daily living, and quality of life in patients with stroke: a single-blinded randomized controlled trial

BACKGROUND

Post-stroke clinical changes not only affect extremities and trunk muscles but also the respiratory muscles.

PURPOSE

To determine the effect of robot-assisted arm training with conventional rehabilitation (CombT) on respiratory muscle strength, activities of daily living (ADL), and quality of life in patients with stroke and to compare the results with conventional rehabilitation (CR).

METHODS

It was a two-arm, single-blinded, randomized controlled trial in which 66 patients were randomly allocated to either CombT or CR to receive 30 sessions (5/week) over 6 weeks. The respiratory muscle strength (maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP)), activities of daily life (ABILHAND questionnaire), and quality of life (Stroke Impact Scale (SIS)) were measured before and 6 weeks after training.

RESULTS

The CombT group showed significantly better MIP, MEP, and performance in ADLs after 6 weeks of training compared to the CR group (p < .01). The effect size was large for MIP (d = 0.9) and MEP (d = 0.9), whereas medium for performance in ADLs (d = 0.62). Also, the SIS-arm strength (p < .01), hand function (p = .04), ADLs (p = .02), and recovery (p = .04) were significantly better in CombT group with a medium (d = 0.6, d = 0.5, d = 0.5, and d = 0.5, respectively) effect size compared with CR group.

CONCLUSIONS

Both CombT and CR groups improved respiratory muscle strength, performance in ADLs, and quality of life in patients with stroke. However, CombT appears to offer more comprehensive benefits, highlighting its valuable role in respiratory and functional recovery after stroke.

Effectiveness of Robotic Devices for Medical Rehabilitation: An Umbrella Review

Background/Objectives: Clinical trials have investigated the efficacy of rehabilitation robotics for various pathological conditions, but the overall impact on rehabilitation practice remains unclear. We comprehensively examined and analyzed systematic reviews (SRs) of randomized controlled trials (RCTs) investigating rehabilitative interventions with robotic devices. Methods: Four databases were searched using term combinations of keywords related to robotic devices, rehabilitation, and SRs. The SR meta-analyses were categorized into "convincing", "highly suggestive", "suggestive", "weak", or "non-significant" depending on evidence strength and validity. Results: Overall, 62 SRs of 341 RCTs involving 14,522 participants were identified. Stroke was most frequently reported (40 SRs), followed by spinal cord injury (eight SRs), multiple sclerosis (four SRs), cerebral palsy (four SRs), Parkinson's disease (three SRs), and neurological disease (any disease causing limited upper- and lower-limb functioning; three SRs). Furthermore, 38, 21, and 3 SRs focused on lower-limb devices, upper-limb devices, and both upper- and lower-limb devices, respectively. Quantitative synthesis of robotic intervention effects was performed by 51 of 62 SRs. Robot-assisted training was effective for various outcome measures per disease. Meta-analyses offering suggestive evidence were limited to studies on stroke. Upper-limb devices were effective for motor control and activities of daily living, and lower-limb devices for walking independence in stroke. Conclusions: Robotic devices are useful for improving impairments and disabilities in several diseases. Further high-quality SRs including RCTs with large sample sizes and meta-analyses of these RCTs, particularly on non-stroke-related diseases, are required. Further research should also ascertain which type of robotic device is the most effective for improving each specific impairment or disability.

Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments

The robotics discipline is exploring precise and versatile solutions for upper-limb rehabilitation in Multiple Sclerosis (MS). People with MS can greatly benefit from robotic systems to help combat the complexities of this disease, which can impair the ability to perform activities of daily living (ADLs). In order to present the potential and the limitations of smart mechatronic devices in the mentioned clinical domain, this review is structured to propose a concise SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of robotic rehabilitation in MS. Through the SWOT Analysis, a method mostly adopted in business management, this paper addresses both internal and external factors that can promote or hinder the adoption of upper-limb rehabilitation robots in MS. Subsequently, it discusses how the synergy with another category of interaction technologies - the systems underlying virtual and augmented environments - may empower Strengths, overcome Weaknesses, expand Opportunities, and handle Threats in rehabilitation robotics for MS. The impactful adaptability of these digital settings (extensively used in rehabilitation for MS, even to approach ADL-like tasks in safe simulated contexts) is the main reason for presenting this approach to face the critical issues of the aforementioned SWOT Analysis. This methodological proposal aims at paving the way for devising further synergistic strategies based on the integration of medical robotic devices with other promising technologies to help upper-limb functional recovery in MS.

The Effects of Home Automation on Personal and Social Autonomies in Spinal Cord Injury Patients: A Pilot Study

Background: Spinal cord injury (SCI) is a severe and progressive neurological condition caused by trauma to the nervous system, resulting in lifelong disability and severe comorbidities. This condition imposes serious limitations on everyday life, interfering with patients' social lives and compromising their quality of life, psychological well-being, and daily living activities. Rehabilitation is essential to helping SCI patients gain more independence in their daily routines. Home automation (HA) systems provide personalized support to users, allowing them to manage various aspects of their living environment, promoting independence and well-being. This study aims to demonstrate the efficacy of an HA system in enhancing personal and social autonomies in SCI patients, resulting in improved cognitive function and reduced anxiety-depressive symptoms compared to traditional training. Methods: We enrolled 50 SCI patients undergoing neurorehabilitation at IRCCS Centro Neurolesi (Messina, Italy). These patients were randomly assigned to one of two groups: a control group (CG) and an experimental group (EG). The CG received traditional training, while the EG underwent HA training. We evaluated the patients before (T0) and after (T1) rehabilitation using various scales, including the Montreal Cognitive Assessment (MoCA), the Beck Depression Inventory (BDI), the Hamilton Rating Scale for Anxiety (HRS-A), the 12-Item Short-Form Survey (SF-12), the Functional Independence Measure (FIM), Activities of Daily Living (ADL), Instrumental Activities of Daily Living Scale (IADL), and the EQ-5D-5L. Results: The effect of the experimental treatment showed an improvement in all patients test scores in the EG, especially regarding cognitive functions, mood disorders, activities of daily living, and quality of life. Conclusion: Our findings suggest that HA may be effective in improving daily autonomy and, in turn, alleviating mood disorders and enhancing psychological well-being.

Evaluating the Dissemination and Implementation Impact of a Rehabilitation Intervention: The Graded Repetitive Arm Supplementary Program (GRASP)

Purpose

To evaluate the dissemination and implementation impacts of a rehabilitation intervention.

Methods

Systematic evaluation of data sources including academic publishing metrics, publications, and surveys was used to describe the dissemination and implementation impact of the graded repetitive arm supplementary program (GRASP). Three categories in the Payback Framework were evaluated: knowledge production and dissemination, benefits to future research and research use, and real-world uptake and implementation.

Results

In the Knowledge production and dissemination category, seven publications, authored by the GRASP research team, were associated with the GRASP, and there were approximately 17,000 download counts of GRASP manuals from the website from 120 countries. In the Benefits to future research and research use category, 15 studies and 8 registered clinical trials, authored by researchers outside of the GRASP team, have used GRASP as an intervention. In the real-world uptake and implementation category, GRASP has informed recommendations in 2 clinical guidelines and 20 review papers, and had high implementation uptake (e.g., 35% [53/154] of UK therapists surveyed had used GRASP; 95% [649/681] who downloaded GRASP had used it). More than 75% of those who had used GRASP identified that GRASP provides more intensity in upper extremity rehabilitation, is evidence-based and easy to implement, and the equipment and manual are easy to obtain.

Conclusion

The Payback Framework is useful to evaluate the dissemination and implementation impacts of a rehabilitation intervention. GRASP has been implemented extensively in clinical practice and community in a relatively short time since it has been developed.

Effectiveness of robot-assisted arm exercise on arm and hand function in stroke survivors - A systematic review and meta-analysis

Objective: To examine the treatment effect of commercially available robotic-assisted devices, compared to traditional occupational- and physiotherapy on arm and hand function in persons with stroke. Methods: A systematic literature search was conducted in Medline, EMBASE, CINAHL and Cochrane Central Register of Controlled Trials up to January 2022. Randomized controlled trials (RCT's) involving persons with stroke of all ages and robot-assisted exercise as method for arm and hand function, compared to traditional therapy methods were included. Three authors performed the selection independently. The quality of evidence across studies was assessed using GRADE. Results: Eighteen RCT's were included in the study. A random effects meta-analysis showed a statistically significantly higher treatment effect in the robotic-assisted exercise group (p=<0.0001) compared to the traditional treatment group, with a total effect size of 0.44 (CI = 0.22-0.65). Heterogeneity was high, measured with I2 of 65%). Subgroup analyses showed no significant effects of the type of robotic device, treatment frequency or duration of intervention. Discussion and conclusion: Even though the analysis showed significant improvement in arm and hand function in favor of the robotic-assisted exercise group, the results in this systematic review should be interpreted with caution. This is due to high heterogeneity among the studies included and the presence of possible publication bias. Results of this study highlight the need for larger and more methodological robust RCT's, with a focus on reporting training intensity during robotic exercise.

Effectiveness of robot-assisted arm therapy in stroke rehabilitation: An overview of systematic reviews

BACKGROUND

Robot-assisted arm therapy (RAT) has been used mainly in stroke rehabilitation in the last 20 years with rising expectations and growing evidence summarized in systematic reviews (SRs).

OBJECTIVE

The aim of this study is to provide an overview of SRs about the effectiveness, within the ICF domains, and safety of RAT in the rehabilitation of adult with stroke compared to other treatments.

METHODS

The search strategy was conducted using search strings adapted explicitly for each database. A screening base on title and abstract was realized to find all the potentially relevant studies. The methodological quality of the included SRs was assessed using AMSTAR-2. A pre-determined standardized form was used to realize the data extraction.

RESULTS

18 SRs were included in this overview. Generally, positive effects from the RAT were found for motor function and muscle strength, whereas there is no agreement for muscle tone effects. No effect was found for pain, and only a SR reported the positive impact of RAT in daily living activity.

CONCLUSION

RAT can be considered a valuable option to increase motor function and muscle strength after stroke. However, the poor quality of most of the included SRs could limit the certainty around the results.

Effectiveness of Constraint-Induced Movement Therapy (CIMT) on Balance and Functional Mobility in the Stroke Population: A Systematic Review and Meta-Analysis

Constraint-induced movement therapy (CIMT) is one of the most popular treatments for enhancing upper and lower extremity motor activities and participation in patients following a stroke. However, the effect of CIMT on balance is unclear and needs further clarification. The aim of this research was to estimate the effect of CIMT on balance and functional mobility in patients after stroke. After reviewing 161 studies from search engines including Google Scholar, EBSCO, PubMed, PEDro, Science Direct, Scopus, and Web of Science, we included eight randomized controlled trials (RCT) in this study. The methodological quality of the included RCTs was verified using PEDro scoring. This systematic review showed positive effects of CIMT on balance in three studies and similar effects in five studies when compared to the control interventions such as neuro developmental treatment, modified forced-use therapy and conventional physical therapy. Furthermore, a meta-analysis indicated a statistically significant effect size by a standardized mean difference of 0.51 (P = 0.01), showing that the groups who received CIMT had improved more than the control groups. However, the meta-analysis results for functional mobility were statistically insignificant, with an effect size of -4.18 (P = 0.16), indicating that the functional mobility improvements in the investigated groups were not greater than the control group. This study's findings demonstrated the superior effects of CIMT on balance; however, the effect size analysis of functional mobility was statistically insignificant. These findings indicate that CIMT interventions can improve balance-related motor function better than neuro developmental treatment, modified forced-use therapy and conventional physical therapy in patients after a stroke.

Rehabilitation in multiple sclerosis in 2021

Patients with multiple sclerosis, despite advances in therapy, often suffer from locomotor impairment that limits their mobility and affect quality of life. Rehabilitation is part of the treatment of MS and has shown its beneficial effects in numerous studies. While traditional rehabilitation techniques remain in the limelight, new technologies are emerging and make it possible to improve the management of disabling symptoms. The aim of this update is to synthesize the new therapy techniques proposed in rehabilitation for patients with multiple sclerosis according to the symptoms as balance, gait, upper limb disorders, fatigue, spasticity and disease progression published over the past 5 years. With regard to balance and walking disorders, neuromotor rehabilitation, physical exercise, rhythmic auditory stimulation, gait robot training and exergaming are effective. Only physical exercise has shown a positive effect on fatigue management. Spasticity is improved by classic rehabilitation techniques however non-invasive brain stimulation are promising. The rehabilitation of upper limb dysfunctions uses various effective techniques such as the repetition of functional tasks in real or virtual situations. In case of a more severe disability, arm robots can be used to relearn the impaired movement. Action observation training in real or virtual situations is also effective. Finally, under certain conditions the constraint induced movement therapy is proposed. The effects of rehabilitation are not only positive on the pyramidal symptoms and fatigue but also increase neuroplasticity and perhaps a neuroprotective effect as shown in some studies.

Effects of domotics on cognitive, social and personal functioning in patients with Parkinson's disease: A pilot study

Home automation (HA) is either a "smart" house or a supportive environment, which enables the patients to regain an active role in daily life. HA could allow people affected by Parkinson Disease (PD) to better manage their daily lives. This study aims to evaluate the effects of domotics on quality of life, and personal/social autonomy in PD patients. We enrolled 40 with PD undergoing neurorehabilitation, who were randomized into either the control (CG) or the experimental group (EG). Two different rehabilitative approaches were used: the CG was submitted to a traditional training, whilst the EG underwent HA training, in which the activities were carried out through the use of assistive technologies. In both the training, the exercises were performed in small samples of 3-5 patients. Results showed that both CG and EG had a significant improvement in global cognitive functioning, executive functions, and instrumental autonomy. However, only in the EG, we observed a significant increase in social adaptation, activities of daily living and quality of life. This pilot study suggests that HA training could be a useful tool for the rehabilitation of patients with PD, improving social and cognitive functioning, personal autonomy and quality of life.

Providing unloading by exoskeleton improves shoulder flexion performance after stroke

Robotic devices can be engaged actively or passively to unload arm weight or impose additional loading. The conditions of variable loading and unloading offer an opportunity to investigate motor performance of the arm affected by a stroke. The objective of this study was to investigate the interactive effects of the proximal arm impairment and passive weight compensation on shoulder flexion performance in the sagittal plane after stroke. Twenty-eight participants (age 57 ± 10 years, 21/28 ≤ 6 weeks post-stroke) played a shoulder flexion game under five standardized weight compensation configurations provided by the Armeo^®Spring exoskeleton. Percent of targets acquired and root mean square error were calculated to derive three behavioral and three kinematic outcomes: total score/overall error (loading/unloading conditions and five configurations combined), loading and unloading score/error (five configurations combined), and weight compensation configuration score/error for each setting separately. The total score was positively related and the overall error was negatively related to proximal arm impairment (Fugl-Meyer upper extremity movement subscale, maximum 30, FM30). The unloading score (80 ± 27%) and error (5 ± 4°) were significantly better than the loading score (45 ± 38%, p < 0.01) and error (14± 9°, p < 0.01) with improvements most pronounced in the mid-range of FM30 (4-15 points). The configuration scores/error gradually improved with each increment in unloading for the mid-range FM30 participants, while only error improved in those with low FM30. In conclusion, shoulder flexion performance depends on proximal arm impairment, but it is also influenced by the degree of unloading/loading provided, particularly among individuals with moderate paresis after stroke.

E-health and multiple sclerosis

PURPOSE OF REVIEW

To outline recent applications of e-health data and digital tools for improving the care and management of healthcare for people with multiple sclerosis.

RECENT FINDINGS

The digitization of most clinical data, along with developments in communication technologies, miniaturization of sensors and computational advances are enabling aggregation and clinically meaningful analyses of real-world data from patient registries, digital patient-reported outcomes and electronic health records (EHR). These data are allowing more confident descriptions of prognoses for multiple sclerosis patients and the long-term relative benefits and safety of disease-modifying treatments (DMT). Registries allow detailed, multiple sclerosis-specific data to be shared between clinicians more easily, provide data needed to improve the impact of DMT and, with EHR, characterize clinically relevant interactions between multiple sclerosis and other diseases. Wearable sensors provide continuous, long-term measures of performance dynamics in relevant ecological settings. In conjunction with telemedicine and online apps, they promise a major expansion of the scope for patients to manage aspects of their own care. Advances in disease understanding, decision support and self-management using these Big Data are being accelerated by machine learning and artificial intelligence.

SUMMARY

Both health professionals and patients can employ e-health approaches and tools for development of a more patient-centred learning health system.

Haptic vs sensorimotor training in the treatment of upper limb dysfunction in multiple sclerosis: A multi-center, randomised controlled trial

BACKGROUND

In multiple sclerosis (MS) exercise improves upper limb functions, but it is unclear what training types are more effective.

OBJECTIVE

This study compares robot-assisted training based on haptic or sensorimotor exercise.

METHODS

41clinically definite MS subjects with upper limb impairment were randomised into two groups: (i) Haptic and (ii) Sensorimotor. Subjects in the Haptic performed a robot-assisted training protocol designed to counteract incoordination and weakness. The task -interaction with a virtual mass-spring system against a resistive load- requires coordination skills. Task difficulty and magnitude of resistive load were automatically adjusted to the individual impairment. Subjects in the Sensorimotor performed reaching movements under visual control; the robot generated no forces. Both groups underwent eight training sessions (40 min/session, 2 sessions/week). Treatment outcome were 9HPT and ARAT scores.

RESULTS

The average 9HPT score decreased from 74±9 s to 61±8 s for the Haptic and from 49±6 s to 44±6 s. We found a significant Treatment (p=.0453) and Time differences (p=.005), but no significant Treatment×Time interactions although we found that the absolute change was only significant in the Haptic group (p=.011). We observed no significant changes in the ARAT score. Participants tolerated treatments well with a low drop-out rate. In the subjects evaluated at after 12 week (11 subject in sensory-motor and 17 in haptic group) no retention of the effect was found.

CONCLUSIONS

Task oriented training may improve upper limb function in persons with MS especially in prevalent pyramidal impaired subjects without maintain the effects after three months.

CLINICAL TRIAL REGISTRATION NUMBER

NCT02711566 (clinicaltrial.gov).

The Role of Robotic Path Assistance and Weight Support in Facilitating 3D Movements in Individuals With Poststroke Hemiparesis

Background. High-intensity repetitive training is challenging to provide poststroke. Robotic approaches can facilitate such training by unweighting the limb and/or by improving trajectory control, but the extent to which these types of assistance are necessary is not known. Objective. The purpose of this study was to examine the extent to which robotic path assistance and/or weight support facilitate repetitive 3D movements in high functioning and low functioning subjects with poststroke arm motor impairment relative to healthy controls. Methods. Seven healthy controls and 18 subjects with chronic poststroke right-sided hemiparesis performed 300 repetitions of a 3D circle-drawing task using a 3D Cable-driven Arm Exoskeleton (CAREX) robot. Subjects performed 100 repetitions each with path assistance alone, weight support alone, and path assistance plus weight support in a random order over a single session. Kinematic data from the task were used to compute the normalized error and speed as well as the speed-error relationship. Results. Low functioning stroke subjects (Fugl-Meyer Scale score = 16.6 ± 6.5) showed the lowest error with path assistance plus weight support, whereas high functioning stroke subjects (Fugl-Meyer Scale score = 59.6 ± 6.8) moved faster with path assistance alone. When both speed and error were considered together, low functioning subjects significantly reduced their error and increased their speed but showed no difference across the robotic conditions. Conclusions. Robotic assistance can facilitate repetitive task performance in individuals with severe arm motor impairment, but path assistance provides little advantage over weight support alone. Future studies focusing on antigravity arm movement control are warranted poststroke.