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Aim: This work aimed to update and summarize the existing evidence on the effectiveness of robot-assisted training (RAT) in adults with Parkinson's disease (PD)., Methods: We conducted a systematic review with meta-analysis, reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO CRD42022371124). Seven databases and two trial registries were searched for randomized-controlled trials (RCTs) addressing RAT alone or in addition to other treatments in adults with PD up to January 2024. Primary outcomes were disease-specific motor impairment, balance, mobility, freezing of gait, falls, number of people who fell at least once, and adverse events. Meta-analysis using a random-effects model was performed. Risk of bias (RoB) and certainty of the evidence for the primary outcomes were assessed using the Cochrane RoB Tool and the Grades of Recommendation Assessment, Development, and Evaluation (GRADE) approach, respectively., Results: Fifteen RCTs (629 randomized adults with PD) were included. Our results show that the evidence is very uncertain about the effectiveness of any kind of RAT, either focused on gait, balance or upper limb impairment, compared to any comparator (treadmill training, overground gait training, exercises without the exoskeleton, conventional physical therapy, balance training, and no treatment), mainly because of RoB, inconsistency in individual studies results, and very limited number (less than 200) of participants considered in each comparison., Conclusion: In light of the aforementioned very low certainty evidence, clinical considerations should be drawn very carefully. High-quality studies are thus highly needed to investigate potential benefits, risks, and cost/benefit ratio of RAT in adults with PD., Competing Interests: Declarations. Conflicts of interest: The authors declare that they have no conflict of interests to declare., (© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Robot-assisted rehabilitation is considered beneficial for functional recovery in patients with stroke, but the therapeutic effect remains inconclusive. The present study investigated the therapeutic effects of gait training assisted by a user-initiated powered exoskeletal robot (UIPER) in patients in the early stage after stroke. We also characterized patients' improvement by analyzing chronological changes in clinical measurements together with gait parameters obtained from internal sensors in the exoskeletal robot., Methods: In this pilot case-controlled study, 17 and 81 patients with stroke onset durations of < 3 months were included in the robot-assisted combined with conventional treatment (RT + CT) group and conventional treatment only (CT) group, respectively. The UIPER, which provides knee flexion and extension support and has hip and knee sensors, was applied to guide gait performance in the RT + CT group. The patients in the RT + CT group received robot-assisted gait training for 40 min/ session, 1 session a day, and 2-3 sessions a week (6 sessions in total). The primary outcome was the proportion of patients reaching the minimum clinically important difference (MCID) in the 5-meter walking speed (5MWS) assessment, and the secondary outcomes were the MCID for the six-minute walking test, the Berg Balance Scale, the Barthel Index, the Fugl-Meyer assessment, and the timed up and go test before, during, and after the interventions. Gait parameters of the hip and knee were evaluated at baseline, midterm, and final sessions., Results: Gait function improved in both groups after the intervention (both P < 0.05). The primary outcome showed that a greater proportion of patients reached the MCID for the 5MWS in the RT + CT group than in the CT group (70.6 vs. 43.2%, P = 0.040; [Formula: see text] = 0.208). Similarly, in terms of the secondary outcomes, more patients in the RT + CT group reached the MCID for the Barthel index as compared with the CT group (41.2 vs. 17.3%, P = 0.047, [Formula: see text] = 0.220). Gait analysis revealed improvements in gait in the RT + CT group, as indicated by increases in the perimeter and area of the hip-knee cyclogram, as well as the range of motion in the hip joint., Conclusions: Gait training assisted by UIPER facilitates the recovery of walking speed and activities of daily living in patients with stroke, and these improvements may be related to improvements in gait parameters. Randomized controlled studies with larger sample sizes are needed to confirm these findings., Trial Registration: This trial was approved by the Institutional Review Board of Chang Gung Medical Foundation (No. 202200822B0)., Competing Interests: Declarations. Ethics approval and consent to participate: This study was approved by the Institutional Review Board of Chang Gung Medical Foundation (No. 202200822B0) on 11th July 2022 and all participants in the present study provided informed consent. Consent for publication: All participants in the present study received instruction about the experimental procedures and content and the experiments were conducted after participants had completed the consent forms. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

Spinal and bulbar muscular atrophy (SBMA) progressively impairs gait function, resulting in the need for patients to use a wheelchair approximately 20 years after onset. No reports have investigated the effects of long-term exercise training using the Hybrid Assisted Limb (HAL) in patients with multiple SBMA. This study investigated the effects of long-term exercise training using HAL in patients with SBMA and its effects on the quality of life (QoL). Six courses of HAL treatment were administered to three males with SBMA, and leuprorelin was administered to each patient. Each course had a 4-5 week duration, during which the treatment was performed nine times, with a rest period of at least 2 months between each course. A 2-minute walk test (2MWT) and a 10-m walk test (10MWT) were performed to measure gait ability, and a blood test to measure the serum creatine kinase (CK) and creatinine (CRE) levels was performed before and after each course of treatment. We evaluated QoL using the Medical Outcomes Study 36-Item Short Form Health Survey (SF-36). The average 2MWT distance improved over 2 years (p = 0.038), and the 10MWT showed neither improvement nor decline. No increase or decrease in serum CK or CRE levels was observed. There were no significant changes in the SF-36 physical, mental, or social summary scores. In combination with leuprorelin therapy, robot-assisted training using HAL maintained gait ability and QoL in patients with SBMA for 2 years., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

Objective: To synthetize the evidence on the effects of hand rehabilitation (RHB) interventions on cognition post-stroke and compare their efficacy., Data Sources: PubMed, Embase, Cochrane, Scopus, Web of Science, and CINAHL were searched from inception to November 2022., Data Selection: Randomized controlled trials conducted in adults with stroke where the effects of hand motor interventions on any cognitive domains were assessed., Data Extraction: Data were extracted by 2 independent reviewers. A Bayesian Network Meta-analysis (NMA) was applied for measures with enough studies and comparisons. Risk of bias was assessed with the Cochrane Risk of Bias tool., Data Synthesis: Fifteen studies were included in qualitative synthesis, and 11 in NMA. Virtual reality (VR) (n=7), robot-assisted (n=5), or handgrip strength (n=3) training were the experimental interventions and conventional RHB (n=14) control intervention. Two separate NMA were performed with MoCA (n=480 participants) and MMSE (n=350 participants) as outcome measures. Both coincided that the most probable best interventions were robot-assisted and strength training, according to SUCRA and rankogram, followed by conventional RHB and VR training. No significant differences between any of the treatments were found in the MoCA network, but in the MMSE, robot-assisted and strength training were significantly better than conventional RHB and VR. No significant differences between robot-assisted and strength training were found nor between conventional RHB and VR., Conclusions: Motor interventions can improve MoCA/MMSE scores post-stroke. Most probable best interventions were robot-assisted and strength training. Limited literature assessing domain-specific cognitive effects was found., (Copyright © 2024 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: About 17-80% stroke survivors experience the deficit of upper limb function, which strongly influences their independence and quality of life. Robot-assisted training and functional electrical stimulation are commonly used interventions in the rehabilitation of hemiplegia upper extremities, while the effect of their combination remains unclear. The aim of this trial is to explore the effect of robot-assisted upper limb training combined with functional electrical stimulation, in terms of neuromuscular rehabilitation, compared with robot-assisted upper limb training alone., Methods: Individuals (n = 60) with the first onset of stroke (more than 1 week and less than 1 year after stroke onset) will be considered in the recruitment of this single-blinded, three-arm randomized controlled trial. Participants will be allocated into three groups (robot-assisted training combined with functional electrical stimulation group, robot-assisted training group, and conventional rehabilitation therapies group) with a ratio of 1:1:1. All interventions will be executed for 45 min per session, one session per day, 5 sessions per week for 6 weeks. The neuromuscular function of the upper limb (Fugl-Meyer Assessment of upper extremity), ability of daily life (modified Barthel Index), pain (visual analogue scale), and quality of life (EQ-5D-5L) will be assessed at the baseline, at the end of this trial and after 3 months follow-up. Two-way repeated measures analysis of variance will be used to compare the outcomes if the data are normally distributed. Simple effects tests will be used for the further exploration of interaction effects by time and group. Scheirer-Ray-Hare test will be used if the data are not satisfied with normal distribution., Discussion: We expect this three-arm randomized controlled trial to explore the effectiveness of robot-assisted training combined with functional electrical stimulation in improving post-stroke upper limb function compared with robot-assisted training alone., Trial Registration: Effect of upper limb robot on improving upper limb function after stroke, identifier: ChiCTR2300073279. Registered on 5 July 2023., (© 2024. The Author(s).)

Objectives: Numbers of research have reported the usage of robot-assisted gait training for walking restoration post-stroke. However, no consistent conclusion has been reached yet about the efficacy of exoskeleton robot-assisted training (ERAT) on gait function of stroke survivors, especially during the chronic period. We conducted a systematic review to investigate the efficacy of ERAT on gait function for chronic stroke survivors., Design: This review followed the Participant, Intervention, Comparison and Outcome principle., Data Sources: PubMed, Cochrane Library, Web of Science, Embase and Cumulative Index to Nursing and Allied Health Literature databases were systematically searched until December 2022., Eligibility Criteria: Only randomised controlled trials (RCTs) were included and these RCTs took patients who had a chronic stroke as participants, exoskeleton robot-assisted gait training as intervention, regular rehabilitation therapy as comparison and gait-related functional assessments as outcomes., Data Extraction and Synthesis: Data extraction and synthesis used the reporting checklist for systematic review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The risk of bias and methodological quality of included studies were evaluated by two independent investigators under the guidance of Cochrane risk of bias., Results: Out of 278 studies, a total of 10 studies (n=323, mean age 57.6 years, 63.2% males) were identified in this systematic review. According to the Cochrane risk of bias, the quality of these studies was assessed as low risk. Six studies reported favourable effects of ERAT on gait function involving gait performance, balance function and physical endurance, and the ERAT group was significantly superior when compared with the control group. In contrast, the other four trials showed equal or negative effects of ERAT considering different study designs. All the included studies did not claim any serious adverse events., Conclusion: ERAT could be an efficient intervention to improve gait function for individuals who had a chronic stroke. However, more rigorously designed trials are required to draw more solid evidence., Prospero Registration Number: CRD42023410796., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Abdominal palpation is one of the basic but important physical examination methods used by physicians. Visual, auditory, and haptic feedback from the patients are known to be the main sources of feedback they use in the diagnosis. However, learning to interpret this feedback and making accurate diagnosis require several years of training. Many abdominal palpation training simulators have been proposed to date, but very limited attempts have been reported in integrating vocal pain expressions into physical abdominal palpation simulators. Here, we present a vocal pain expression augmentation for a robopatient. The proposed robopatient is capable of providing real-time facial and vocal pain expressions based on the exerted palpation force and position on the abdominal phantom of the robopatient. A pilot study is conducted to test the proposed system, and we show the potential of integrating vocal pain expressions to the robopatient. The platform has also been tested by two clinical experts with prior experience in abdominal palpation. Their evaluations on functionality and suggestions for improvements are presented. We highlight the advantages of the proposed robopatient with real-time vocal and facial pain expressions as a controllable simulator platform for abdominal palpation training studies. Finally, we discuss the limitations of the proposed approach and suggest several future directions for improvements., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Protpagorn, Lalitharatne, Costi and Iida.)

Bi-manual therapy (BT), mirror therapy (MT), and robot-assisted rehabilitation have been conducted in hand training in a wide range of stages in stroke patients; however, the mechanisms of action during training remain unclear. In the present study, participants performed hand tasks under different intervention conditions to study bilateral sensorimotor cortical communication, and EEG was recorded. A multifactorial design of the experiment was used with the factors of manipulating objects (O), robot-assisted bimanual training (RT), and MT. The sum of spectral coherence was applied to analyze the C3 and C4 signals to measure the level of bilateral corticocortical communication. We included stroke patients with onset <6 months (n = 6), between 6 months and 1 year (n = 14), and onset >1 year (n = 20), and their Brunnstrom recovery stage ranged from 2 to 4. The results showed that stroke duration might influence the effects of hand rehabilitation in bilateral cortical corticocortical communication with significant main effects under different conditions in the alpha and beta bands. Therefore, stroke duration may influence the effects of hand rehabilitation on interhemispheric coherence.

Task-specific training constitutes a core element for evidence-based rehabilitation strategies targeted at improving upper extremity activity after stroke. Its combination with additional treatment strategies and neurotechnology-based solutions could further improve patients' outcomes. Here, we studied the effect of gamified robot-assisted upper limb motor training on motor performance, skill learning, and transfer with respect to a non-gamified control condition with a group of chronic stroke survivors. The results suggest that a gamified training strategy results in more controlled motor performance during the training phase, which is characterized by a higher accuracy (lower deviance), higher smoothness (lower jerk), but slower speed. The responder analyses indicated that mildly impaired patients benefited most from the gamification approach. In conclusion, gamified robot-assisted motor training, which is personalized to the individual capabilities of a patient, constitutes a promising investigational strategy for further improving motor performance after a stroke., Competing Interests: The authors declare no conflict of interest., (© 2022 The Author(s).)

Background: Robotic rehabilitation therapy has grown rapidly during the last two decades allowing researchers and clinicians to deliver high-intensity training to persons with sensorimotor disorders caused by neurological injuries and diseases., Methods: This case series reports the effect of robot-assisted, impairment-oriented training for persons recovering from stroke on impairment of the paretic ankle as well as on the kinematic and spatiotemporal parameters of gait. Five persons with chronic stroke (>6 months post-stroke) participated in a 10-week training protocol, receiving three, 30-min sessions per week of a robot-assisted therapy. The robot-assisted intervention cyclically induced dorsiflexion and plantarflexion to the ankle at 5 degrees/s through ±15 degrees while the participants assisted with the imposed movement. Concurrently, participants received visual feedback of their active, assistive torque as well as targeted mechanical vibration of the ankle tendons when lengthened by the applied motion. Walking speed, cadence, step length of the non-paretic leg, percentage of paretic single limb support during the gait cycle, and ankle strength were assessed just before training began (baseline), after the last training session (post-training), and 3 months post-training (follow-up)., Discussion: Robot-assisted training that provided assisted movement, biofeedback, and proprioceptive stimulation reduced ankle impairment and improved kinematic and spatiotemporal gait parameters, suggesting that impairment-oriented therapy applied to the paretic ankle may provide a valuable adjunct to locomotor therapies in persons with chronic gait disorders due to stroke.

Effects of the combined task-oriented trainings with botulinum toxin A (BoNT-A) injection on improving motor functions and reducing spasticity remains unclear. This study aims to investigate effects of 3 task-oriented trainings (robot-assisted therapy (RT), mirror therapy (MT), and active control treatment (AC)) in patients with stroke after BoNT-A injection. Thirty-seven patients with chronic spastic hemiplegic stroke were randomly assigned to receive RT, MT, or AC following BoNT-A injection over spastic upper extremity muscles. Each session of RT, MT, and AC was 75 min, 3 times weekly, for 8 weeks. Outcome measures were assessed at pretreatment, post-treatment, and 3-month follow-up, involving the Fugl-Meyer Assessment (FMA), Modified Ashworth Scale (MAS), Motor Activity Log (MAL), including amount of use (AOU) and quality of movement (QOM), and arm activity level. All 3 combined treatments improved FMA, MAS, and MAL. The AC induced a greater effect on QOM in MAL at the 3-month follow-up than RT or MT. All 3 combined trainings induced minimal effect on arm activity level. Our findings suggest that for patients with stroke who received BoNT-A injection over spastic UE muscles, the RT, MT, or AC UE training that followed was effective in improving motor functions, reducing spasticity, and enhancing daily function.

During the last ten years the use of robotic-assisted rehabilitation has increased significantly. Compared with traditional care, robotic rehabilitation has several potential advantages. Platform-based robotic rehabilitation can help patients recover from musculoskeletal and neurological conditions. Evidence on how platform-based robotic technologies can positively impact on disability recovery is still lacking, and it is unclear which intervention is most effective in individual cases. This systematic review aims to evaluate the effectiveness of platform-based robotic rehabilitation for individuals with musculoskeletal or neurological injuries. Thirty-eight studies met the inclusion criteria and evaluated the efficacy of platform-based rehabilitation robots. Our findings showed that rehabilitation with platform-based robots produced some encouraging results. Among the platform-based robots studied, the VR-based Rutgers Ankle and the Hunova were found to be the most effective robots for the rehabilitation of patients with neurological conditions (stroke, spinal cord injury, Parkinson's disease) and various musculoskeletal ankle injuries. Our results were drawn mainly from studies with low-level evidence, and we think that our conclusions should be taken with caution to some extent and that further studies are needed to better evaluate the effectiveness of platform-based robotic rehabilitation devices.

Background: Prior studies have established that senses of the limb position in space (proprioception and kinaesthesia) are important for motor control and learning. Although nearly one-half of stroke patients have impairment in the ability to sense their movements, somatosensory retraining focusing on proprioception and kinaesthesia is often overlooked. Interventions that simultaneously target motor and somatosensory components are thought to be useful for relearning somatosensory functions while increasing mobility of the affected limb. For over a decade, robotic technology has been incorporated in stroke rehabilitation for more controlled therapy intensity, duration, and frequency. This pilot randomised controlled trial introduces a compact robotic-based upper-limb reaching task that retrains proprioception and kinaesthesia concurrently., Methods: Thirty first-ever chronic stroke survivors (> 6-month post-stroke) will be randomly assigned to either a treatment or a control group. Over a 5-week period, the treatment group will receive 15 training sessions for about an hour per session. Robot-generated haptic guidance will be provided along the movement path as somatosensory cues while moving. Audio-visual feedback will appear following every successful movement as a reward. For the same duration, the control group will complete similar robotic training but without the vision occluded and robot-generated cues. Baseline, post-day 1, and post-day 30 assessments will be performed, where the last two sessions will be conducted after the last training session. Robotic-based performance indices and clinical assessments of upper limb functions after stroke will be used to acquire primary and secondary outcome measures respectively. This work will provide insights into the feasibility of such robot-assisted training clinically., Discussion: The current work presents a study protocol to retrain upper-limb somatosensory and motor functions using robot-based rehabilitation for community-dwelling stroke survivors. The training promotes active use of the affected arm while at the same time enhances somatosensory input through augmented feedback. The outcomes of this study will provide preliminary data and help inform the clinicians on the feasibility and practicality of the proposed exercise., Trial Registration: ClinicalTrials.gov NCT04490655 . Registered 29 July 2020., (© 2021. The Author(s).)

Background: Loss of arm function is common after stroke. Robot-assisted training may improve arm outcomes., Objective: The objectives were to determine the clinical effectiveness and cost-effectiveness of robot-assisted training, compared with an enhanced upper limb therapy programme and with usual care., Design: This was a pragmatic, observer-blind, multicentre randomised controlled trial with embedded health economic and process evaluations., Setting: The trial was set in four NHS trial centres., Participants: Patients with moderate or severe upper limb functional limitation, between 1 week and 5 years following first stroke, were recruited., Interventions: Robot-assisted training using the Massachusetts Institute of Technology-Manus robotic gym system (InMotion commercial version, Interactive Motion Technologies, Inc., Watertown, MA, USA), an enhanced upper limb therapy programme comprising repetitive functional task practice, and usual care., Main Outcome Measures: The primary outcome was upper limb functional recovery 'success' (assessed using the Action Research Arm Test) at 3 months. Secondary outcomes at 3 and 6 months were the Action Research Arm Test results, upper limb impairment (measured using the Fugl-Meyer Assessment), activities of daily living (measured using the Barthel Activities of Daily Living Index), quality of life (measured using the Stroke Impact Scale), resource use costs and quality-adjusted life-years., Results: A total of 770 participants were randomised (robot-assisted training, n  = 257; enhanced upper limb therapy, n  = 259; usual care, n  = 254). Upper limb functional recovery 'success' was achieved in the robot-assisted training [103/232 (44%)], enhanced upper limb therapy [118/234 (50%)] and usual care groups [85/203 (42%)]. These differences were not statistically significant; the adjusted odds ratios were as follows: robot-assisted training versus usual care, 1.2 (98.33% confidence interval 0.7 to 2.0); enhanced upper limb therapy versus usual care, 1.5 (98.33% confidence interval 0.9 to 2.5); and robot-assisted training versus enhanced upper limb therapy, 0.8 (98.33% confidence interval 0.5 to 1.3). The robot-assisted training group had less upper limb impairment (as measured by the Fugl-Meyer Assessment motor subscale) than the usual care group at 3 and 6 months. The enhanced upper limb therapy group had less upper limb impairment (as measured by the Fugl-Meyer Assessment motor subscale), better mobility (as measured by the Stroke Impact Scale mobility domain) and better performance in activities of daily living (as measured by the Stroke Impact Scale activities of daily living domain) than the usual care group, at 3 months. The robot-assisted training group performed less well in activities of daily living (as measured by the Stroke Impact Scale activities of daily living domain) than the enhanced upper limb therapy group at 3 months. No other differences were clinically important and statistically significant. Participants found the robot-assisted training and the enhanced upper limb therapy group programmes acceptable. Neither intervention, as provided in this trial, was cost-effective at current National Institute for Health and Care Excellence willingness-to-pay thresholds for a quality-adjusted life-year., Conclusions: Robot-assisted training did not improve upper limb function compared with usual care. Although robot-assisted training improved upper limb impairment, this did not translate into improvements in other outcomes. Enhanced upper limb therapy resulted in potentially important improvements on upper limb impairment, in performance of activities of daily living, and in mobility. Neither intervention was cost-effective., Future Work: Further research is needed to find ways to translate the improvements in upper limb impairment seen with robot-assisted training into improvements in upper limb function and activities of daily living. Innovations to make rehabilitation programmes more cost-effective are required., Limitations: Pragmatic inclusion criteria led to the recruitment of some participants with little prospect of recovery. The attrition rate was higher in the usual care group than in the robot-assisted training or enhanced upper limb therapy groups, and differential attrition is a potential source of bias. Obtaining accurate information about the usual care that participants were receiving was a challenge., Trial Registration: Current Controlled Trials ISRCTN69371850., Funding: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment ; Vol. 24, No. 54. See the NIHR Journals Library website for further project information.

Although robot-assisted training is present in various fields such as sports engineering and rehabilitation, provision of training strategies that optimally support individual motor learning remains as a challenge. Literature has shown that guidance strategies are useful for beginners, while skilled trainees should benefit from challenging conditions. The Challenge Point Theory also supports this in a way that learning is dependent on the available information, which serves as a challenge to the learner. So, learning can be fostered when the optimal amount of information is given according to the trainee's skill. Even though the framework explains the importance of difficulty modulation, there are no practical guidelines for complex dynamic tasks on how to match the difficulty to the trainee's skill progress. Therefore, the goal of this study was to determine the impact on learning of a complex motor task by a modulated task difficulty scheme during the training sessions, without distorting the nature of task. In this 3-day protocol study, we compared two groups of naïve participants for learning a sweep rowing task in a highly sophisticated rowing simulator. During trainings, groups received concurrent visual feedback displaying the requested oar movement. Control group performed the task under constant difficulty in the training sessions. Experimental group's task difficulty was modulated by changing the virtual water density that generated different heaviness of the simulated water-oar interaction, which yielded practice variability. Learning was assessed in terms of spatial and velocity magnitude errors and the variability for these metrics. Results of final day tests revealed that both groups reduced their error and variability for the chosen metrics. Notably, in addition to the provision of a very well established visual feedback and knowledge of results, experimental group's variable training protocol with modulated difficulty showed a potential to be advantageous for the spatial consistency and velocity accuracy. The outcomes of training and test runs indicate that we could successfully alter the performance of the trainees by changing the density value of the virtual water. Therefore, a follow-up study is necessary to investigate how to match different density values to the skill and performance improvement of the participants., (Copyright © 2019 Basalp, Marchal-Crespo, Rauter, Riener and Wolf.)

Background: Robotic walking training improves probability to reach an autonomous walking in non-ambulant patients affected by subacute stroke. However, little information is available regarding the prognostic factors for identifying best responder patients. The purpose of the present study is therefore to investigate the clinical features of patients with subacute stroke that might benefit more from robotic walking therapy., Methods: One hundred subacute inpatients randomized in robotic or conventional gait training were assessed at baseline and after 4 weeks of training performed 5 times per week. Forward Binary Logistic Regression was performed using functional ambulation category (FAC) as dependent variable and as independent variables: trunk function (trunk control test), global ability (Barthel Index), age, sex, time from stroke and beginning of rehabilitation, side and type of stroke, and in the first analysis also type of treatment., Results: The parameters that have a significant effect on the FAC-score at discharge were a higher BI-score at admission, a higher TCT-score at admission, a short time from the ictus and a robotic therapy. The variance explained by these four factors was 78%. When the two groups were separately analysed for type of treatment, a higher BI-score and a short time from stroke resulted in good prognosis for conventional therapy, whereas only a high TCT-score improved efficacy of robotic training., Conclusion: Efficacy of robotic walking training was not associated with global ability at admission. Hence, more severely disabled patients may obtain greater benefit from robotic training, independently by other factors, except the need of a residual trunk control that was identified as a good prognostic factor for robotic walking training.

Background: Robotic-assisted gait training (RAGT) affords an opportunity to increase walking practice with mechanical assistance from robotic devices, rather than therapists, where the child may not be able to generate a sufficient or correct motion with enough repetitions to promote improvement. However the devices are expensive and clinicians and families need to understand if the approach is worthwhile for their children, and how it may be best delivered., Methods: The objective of this review was to identify and appraise the existing evidence for the effectiveness of RAGT for paediatric gait disorders, including modes of delivery and potential benefit. Six databases were searched from 1980 to October 2016, using relevant search terms. Any clinical trial that evaluated a clinical aspect of RAGT for children/adolescents with altered gait was selected for inclusion. Data were extracted following the PRISMA approach. Seventeen trials were identified, assessed for level of evidence and risk of bias, and appropriate data extracted for reporting., Results: Three randomized controlled trials were identified, with the remainder of lower level design. Most individual trials reported some positive benefits for RAGT with children with cerebral palsy (CP), on activity parameters such as standing ability, walking speed and distance. However a meta-analysis of the two eligible RCTs did not confirm this finding (p = 0.72). Training schedules were highly variable in duration and frequency and adverse events were either not reported or were minimal. There was a paucity of evidence for diagnoses other than CP., Conclusion: There is weak and inconsistent evidence regarding the use of RAGT for children with gait disorders. If clinicians (and their clients) choose to use RAGT, they should monitor individual progress closely with appropriate outcome measures including monitoring of adverse events. Further research is required using higher level trial design, increased numbers, in specific populations and with relevant outcome measures to both confirm effectiveness and clarify training schedules.

Purpose: Upper limb robot-assisted rehabilitation is a highly intensive therapy, mainly recommended after stroke. Whether robotic therapy is suitable for subacute patients with severe impairments including cognitive disorders is unknown. This retrospective study explored factors impacting on motor performance achieved in a 16-session robotic training combined with standard rehabilitation., Methods: Seventeen subacute inpatients (age 53 ± 18; 49 ± 26 days post-stroke) were assessed at baseline using upper extremity motor impairments scales, Functional Independence Measure, aphasia and neglect scores. Number of movements and robotic assistance were compared between Session 2 (S2), 8 (8) and 16 (S16), Motricity Index between pre and post-treatment. Correlation analyses explored predictors of motor performance., Results: Overall, number of movements and Motricity Index increased significantly while robot-assistance decreased. The mean number of movements per session correlated positively with baseline motor capacities but not with age, aphasia and neglect. However, the increase in Motricity index correlated negatively with baseline Motricity index and the increase in the number of movements correlated negatively with the number of movements at S2., Conclusion: High intensity robot-assisted training may be associated with motor improvement in subacute hemiparesis. More severely impaired patients may derive greater benefit from robot-assisted training; age, aphasia and neglect do not represent exclusion criteria.

Background: This study was a prospective, randomized, open, blinded-endpoint trial with the aim of examining whether gait training with a gait-assistance robot (GAR) improves gait disturbances in subacute non-ambulatory hemiplegic stroke patients more than overground conventional gait training. The GAR adopts a robot arm control system with full weight bearing and foot pressure visual biofeedback., Methods: Twenty-six hemiplegic patients were randomly assigned to either the GAR-assisted gait training (GAGT) group or the overground conventional gait training (OCGT) group. Both groups underwent 60 min of standard physical therapy and 20 min of GAGT or OCGT 5 days a week for 4 weeks. The primary outcome measure was the Functional Ambulation Classification (FAC). The secondary outcome measures were the peak torque of the extensor muscles in the lower extremities and a 10-m walking test. The lower extremity function was evaluated using the Fugl-Meyer Assessment, and activities of daily living were assessed using the Functional Independence Measure., Results: The GAGT group demonstrated significantly greater improvements in FAC and peak torque on the unaffected side (p=0.02) than the OCGT group. Additionally, gait speed tended to be faster (p=0.07) in the GAGT group., Conclusions: GAGT combined with standard physical therapy in subacute non-ambulatory hemiplegic patients led to significant improvements in gait and peak torque on the unaffected side compared to OCGT., (Copyright © 2015 Elsevier B.V. All rights reserved.)