Dataset Information

Feasibility, safety, and efficacy of task-oriented mirrored robotic training on upper-limb functions and activities of daily living in subacute poststroke patients: a pilot study.

ABSTRACT:

Background

Robotic training with high repetitions facilitates upper-limb movements but provides fewer benefits for activities of daily living. Integrating activities of daily living training tasks and mirror therapy into a robot may enhance the functional gains of robotic training.

Aim

The aim of this study was to investigate the feasibility, safety, and efficacy of the task-oriented mirrored upper-limb robotic training on the upper-limb functions and activities of daily living of subacute poststroke patients.

Design

This study is a single-blinded, active-controlled pilot study.

Setting

The study was carried out at rehabilitation outpatient clinic and ward.

Population

A total of 32 subacute poststroke patients were enrolled in the study.

Methods

The enrolled patients were allocated into two groups in a ratio of 1:1. The experimental group received 4 weeks of task-oriented mirrored upper-limb robotic training, consisting of five sessions of 30-minute duration, along with 30 minutes of conventional training. The control group only received 60 minutes of conventional training. The outcome measures were the Fugl-Meyer Assessment Scale for Upper Extremity, Modified Barthel Index, Stroke Self-Efficacy Scale, System Usability Scale, and Quebec User Evaluation with Assistive Technology.

Results

All patients completed the full training sessions without significant adverse events related to robotic training. The task-oriented mirrored upper-limb robotic training led to increased Fugl-Meyer Assessment Scale for Upper Extremity (difference: 10.38 points, P<0.001) and Modified Barthel Index (difference: 18.38 points, P<0.001) scores, both of which exceeded the minimal clinically important difference. Intergroup analysis showed significantly higher improvements in the Fugl-Meyer Assessment Scale for Upper Extremity total scores, shoulder, wrist, and hand scores; and Modified Barthel Index scores in the experimental group than in conventional training (all P<0.05). Both groups showed significant improvements in Stroke Self-Efficacy Scale scores after the intervention (both P<0.001), but without a statistically significant intergroup difference (P>0.05). Participants in the experimental group scored an average usability perception score of 74.74 (good) and an average satisfaction score of four or more out of five.

Conclusions

In general, task-oriented mirrored upper-limb robotic training appears feasible and safe for subacute poststroke rehabilitation, facilitating the recovery of upper-limb functions and activities of daily living.

Clinical rehabilitation impact

Task-oriented mirrored upper-limb robotic training shows promise for future clinical rehabilitation and clinical trials involving subacute poststroke patients.

SUBMITTER: He YZ

PROVIDER: S-EPMC10795073 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Publications

Feasibility, safety, and efficacy of task-oriented mirrored robotic training on upper-limb functions and activities of daily living in subacute poststroke patients: a pilot study.

He You-Ze YZ Huang Zhen-Ming ZM Deng Hai-Yin HY Huang Jia J Wu Jian-Huang JH Wu Jing-Song JS

European journal of physical and rehabilitation medicine 20231023 6

<h4>Background</h4>Robotic training with high repetitions facilitates upper-limb movements but provides fewer benefits for activities of daily living. Integrating activities of daily living training tasks and mirror therapy into a robot may enhance the functional gains of robotic training.<h4>Aim</h4>The aim of this study was to investigate the feasibility, safety, and efficacy of the task-oriented mirrored upper-limb robotic training on the upper-limb functions and activities of daily living of ...[more]

PMID: 37869761

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Project description:BackgroundUpper limb recovery is one of the main goals of post-stroke rehabilitation due to its importance for autonomy in Activities of Daily Living (ADL). Although the efficacy of upper limb Robot-assisted Therapy (RT) is well established in literature, the impact of the initial status of the patient on the effects of RT is still understudied. This paper aims to identify whether demographic, clinical and motor characteristics of stroke patients may influence the ability to independently perform ADL after RT.MethodsA retrospective study was conducted on sixty stroke patients who conducted planar upper limb goal-directed tasks with the InMotion 2.0 robot. The RT was administered 5 days/week for 4 weeks and each session lasted 45 minutes. The primary outcome measure was the Modified Barthel Index (BI), dichotomized into favourable (BI ≥75) and unfavourable (BI<75) outcomes. The potential predictors were the demographic and clinical records, and the following clinical assessment scores: Modified Ashworth Scale-Shoulder (MAS-S); Modified Ashworth Scale-Elbow (MAS-E); Fugl-Meyer Assessment Upper Extremity (FMA-UE); upper limb section of the Motricity Index (MIul); total passive Range Of Motion (pROM); and Box and Block Test (BBT).ResultsStatistical analysis showed that the BBT, FMA-UE and MIul scores were significant predictors of a favourable outcome in ADL. The cut-off scores of the independent variables were calculated (FMA-UE = 32; MIul = 48; BBT = 3) with respect to the dichotomic BI outcome. Their robustness was assessed with the Fragility Index (FMA-UE = 2; MIul = 3; BBT = 7), showing that BBT is the most robust predictor of favourable BI outcome. Moreover, subjects with all predictors higher than the cut-off scores had higher probability to increase their independence in ADL at the end of the therapy. Demographic records, spasticity and pROM were not identified as predictors.ConclusionStroke patients with greater manual dexterity and less impairment appear to have a higher probability of achieving clinically significant ADL outcomes after upper limb RT. The obtained results can help to optimise the management of RT treatment planning. Further studies on a larger number of patients with a long-term follow up are recommended in order to evaluate other potential predictors and to validate the results.

Project description:BackgroundNeural activation induced by upper extremity robot-assisted training (UE-RAT) helps characterize adaptive changes in the brains of poststroke patients, revealing differences in recovery potential among patients. However, it remains unclear whether these task-related neural activities can effectively predict rehabilitation outcomes. In this study, we utilized functional near-infrared spectroscopy (fNIRS) to measure participants' neural activity profiles during resting and UE-RAT tasks and developed models via machine learning to verify whether task-related functional brain responses can predict the recovery of upper limb motor function.MethodsCortical activation and brain network functional connectivity (FC) in brain regions such as the superior frontal cortex, premotor cortex, and primary motor cortex were measured using fNIRS in 82 subacute stroke patients in the resting state and during UE-RAT. The Fugl-Meyer Upper Extremity Assessment Scale (FMA-UE) was chosen as the index for assessing upper extremity motor function, and clinical information such as demographic and neurophysiological data was also collected. Robust features were screened in 100 randomly divided training sets using the least absolute shrinkage and selection operator (LASSO) method. Based on the selected robust features, machine learning algorithms were used to develop clinical models, fNIRS models, and combined models that integrated both clinical and fNIRS features. Finally, Shapley Additive Explanations (SHAP) was applied to interpret the prediction process and analyze key predictive factors.ResultsCompared to the resting state, task-related FC is a more robust feature for modeling, with screening frequencies above 90%. The combined models built using artificial neural networks (ANNs) and support vector machines (SVMs) significantly outperformed the other algorithms, with an average AUC of 0.861 (± 0.087) for the ANN and an average correlation coefficient (r) of 0.860 (± 0.069) for the SVM. Furthermore, predictive factor analysis of the models revealed that FC measured during tasks is the most important factor for predicting upper limb motor function.ConclusionThis study confirmed that UE-RAT-induced FC can serve as an important predictor of rehabilitation, especially when combined with clinical information, further enhancing the accuracy of model predictions. These findings provide new insights for the early prediction of patients' recovery potential, which may contribute to personalized rehabilitation decisions.

Project description:BackgroundProprioception refers to the perception of motion and position of the body or body segments in space. A wide range of proprioceptive tests exists, although tests dynamically evaluating sensorimotor integration during upper limb movement are scarce. We introduce a novel task to evaluate kinesthetic proprioceptive function during complex upper limb movements using a robotic device. We aimed to evaluate the test-retest reliability of this newly developed Dynamic Movement Reproduction (DMR) task. Furthermore, we assessed reliability of the commonly used Joint Reposition (JR) task of the elbow, evaluated the association between both tasks, and explored the influence of visual information (viewing arm movement or not) on performance during both tasks.MethodsDuring the DMR task, participants actively reproduced movement patterns while holding a handle attached to the robotic arm, with the device encoding actual position throughout movement. In the JR task, participants actively reproduced forearm positions; with the final arm position evaluated using an angle measurement tool. The difference between target movement pattern/position and reproduced movement pattern/position served as measures of accuracy. In study 1 (N = 23), pain-free participants performed both tasks at two test sessions, 24-h apart, both with and without visual information available (i.e., vision occluded using a blindfold). In study 2 (N = 64), an independent sample of pain-free participants performed the same tasks in a single session to replicate findings regarding the association between both tasks and the influence of visual information.ResultsThe DMR task accuracy showed good-to-excellent test-retest reliability, while JR task reliability was poor: measurements did not remain sufficiently stable over testing days. The DMR and JR tasks were only weakly associated. Adding visual information (i.e., watching arm movement) had different performance effects on the tasks: it increased JR accuracy but decreased DMR accuracy, though only when the DMR task started with visual information available (i.e., an order effect).DiscussionThe DMR task's highly standardized protocol (i.e., largely automated), precise measurement and involvement of the entire upper limb kinetic chain (i.e., shoulder, elbow and wrist joints) make it a promising tool. Moreover, the poor association between the JR and DMR tasks indicates that they likely capture unique aspects of proprioceptive function. While the former mainly captures position sense, the latter appears to capture sensorimotor integration processes underlying kinesthesia, largely independent of position sense. Finally, our results show that the integration of visual and proprioceptive information is not straightforward: additional visual information of arm movement does not necessarily make active movement reproduction more accurate, on the contrary, when movement is complex, vision appears to make it worse.

Project description:BackgroundStroke is one of the most common cerebral vascular diseases, usually affecting people aged 60 years and older. It leads to a variety of disabilities requiring motor and cognitive rehabilitation. Poststroke rehabilitation is critical for recovery, particularly for upper limb impairments, which affect approximately 80% of stroke survivors. Conventional rehabilitation often faces barriers such as cost, accessibility, and patient adherence. In contrast, eHealth technologies offer a promising alternative by providing accessible, cost-effective, and engaging rehabilitation solutions.ObjectiveWhile numerous systematic reviews have explored various aspects of technology-based rehabilitation for poststroke upper limb recovery, there is a notable lack of comprehensive synthesis of these findings. This gap presents challenges, primarily due to the focus on specific technologies, which complicates understanding the overall effectiveness of these interventions. Consequently, clinicians and researchers may find it difficult to assess the field holistically, potentially hindering informed decision-making in clinical practice. This review synthesizes evidence from systematic reviews evaluating the effectiveness of eHealth technology-based interventions for upper limb recovery in poststroke individuals. Two main questions are examined: (1) Are eHealth technology-based therapies more or equally effective than conventional therapies for stroke rehabilitation? (2) What are the main clinical considerations for low-cost eHealth technology-based rehabilitation?MethodsComprehensive literature searches were conducted in PubMed, Web of Science, Scopus, Embase, and Google Scholar using predefined inclusion criteria based on the Population, Intervention, Comparison, Outcome, and Study Design (PICOS) framework. Systematic reviews published in English without date restrictions were included. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) flowchart guided study selection. Methodological quality was assessed using the Assessment of Multiple Systematic Reviews (AMSTAR 2) criteria.ResultsA total of 1792 records were screened, resulting in 7 systematic reviews published between 2019 and 2023 being included. These reviews encompassed 95 studies involving 2995 participants with a mean age of 58.8 years across acute, subacute, and chronic stroke phases. Interventions included telerehabilitation, mobile health (mHealth) apps, augmented reality (AR), virtual reality (VR), wearable devices, and exergames. While AR and VR demonstrated potential benefits when combined with conventional therapies (eg, AR showing significant improvements in upper limb function with a standardized mean difference 0.657; P<.001), evidence for stand-alone effectiveness remained inconclusive due to heterogeneity in study designs, intervention protocols, and outcome measures. Most reviews were rated as critically low quality due to methodological limitations.ConclusionseHealth technologies hold promise for enhancing upper limb rehabilitation post stroke by addressing barriers such as cost and accessibility while providing engaging interventions. However, the field remains fragmented with insufficient evidence to establish clear efficacy. Future research should focus on standardizing protocols, optimizing neurorehabilitation principles such as dosage and task specificity, and improving methodological rigor to evaluate these interventions' long-term impact better.

Project description:BackgroundTranscutaneous auricular vagus nerve stimulation (taVNS) has emerged as a promising brain stimulation modality in poststroke upper extremity rehabilitation. Although several studies have examined the safety and reliability of taVNS, the mechanisms underlying motor recovery in stroke patients remain unclear.ObjectivesThis study aimed to investigate the effects of taVNS paired with task-oriented training (TOT) on upper extremity function in patients with subacute stroke and explore the potential underlying mechanisms.MethodsIn this double-blinded, randomized, controlled pilot trial, 40 patients with subacute stroke were randomly assigned to two groups: the VNS group (VG), receiving taVNS during TOT, and the Sham group (SG), receiving sham taVNS during TOT. The intervention was delivered 5 days per week for 4 weeks. Upper extremity function was measured using the Fugl-Meyer Assessment-Upper Extremity (FMA-UE), the Action Research Arm Test (ARAT). Activities of daily living were measured by the modified Barthel Index (MBI). Motor-evoked potentials (MEPs) were measured to evaluate cortical excitability. Assessments were administered at baseline and post-intervention. Additionally, the immediate effect of taVNS was detected using functional near-infrared spectroscopy (fNIRS) and heart rate variability (HRV) before intervention.ResultsThe VG showed significant improvements in upper extremity function (FMA-UE, ARAT) and activities of daily living (MBI) compared to the SG at post-intervention. Furthermore, the VG demonstrated a higher rate of elicited ipsilesional MEPs and a shorter latency of MEPs in the contralesional M1. In the VG, improvements in FMA-UE were significantly associated with reduced latency of contralesional MEPs. Additionally, fNIRS revealed increased activation in the contralesional prefrontal cortex and ipsilesional sensorimotor cortex in the VG in contrast to the SG. However, no significant between-group differences were found in HRV.ConclusionThe combination of taVNS with TOT effectively improves upper extremity function in patients with subacute stroke, potentially through modulating the bilateral cortex excitability to facilitate task-specific functional recovery.

Dataset Information

Feasibility, safety, and efficacy of task-oriented mirrored robotic training on upper-limb functions and activities of daily living in subacute poststroke patients: a pilot study.

Background

Aim

Design

Setting

Population

Methods

Results

Conclusions

Clinical rehabilitation impact

Publications

Feasibility, safety, and efficacy of task-oriented mirrored robotic training on upper-limb functions and activities of daily living in subacute poststroke patients: a pilot study.

Similar Datasets

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