Fugl-Meyer Score Research Articles

Abstract P206: Wearable Myoelectric Interface Training for Improving Arm Movement in Chronic Stroke

Impaired arm movement after stroke is due not only to weakness and spasticity, but also to abnormal co-activation (a.k.a. abnormal synergies). Yet, few stroke therapies are aimed to reduce this co-activation. We designed a myoelectric computer interface (MyoCI) that provides feedback to stroke survivors to reduce this abnormal co-activation and associated arm impairment. Here, we describe a novel, wearable version of the MyoCI to control custom-designed computer games as a home-based therapy for chronic stroke survivors. This therapy, called the myoelectric interface for neurorehabilitation training (MINT), enables high-intensity, high-dose training using an inexpensive device at home. The MINT device records surface EMGs from 2-3 arm muscles and wirelessly controls games on a laptop or tablet. By mapping the muscle activities to orthogonal directions of cursor movements, the games operantly condition the participants to learn to reduce abnormal co-activation between the muscles. We are currently investigating this device in severely impaired stroke survivors (Fugl-Meyer score <30). Participants were asked to train 90 min per day, 6 days a week, for a total of 6 weeks, with different variants of the paradigm (2 or 3 muscles at a time) vs. a sham control group that trained on one muscle. We surveyed participants about their engagement with the game using a modified Intrinsic Motivation Inventory (IMI). Eighteen participants have completed the 6-week training to date. They averaged 75±19 min of daily training out of the 90 that were asked. Overall, 60% of participants surveyed enjoyed, and 90% were positively motivated by, the training. A few participants had significant difficulty with the laptops due to inexperience with computers. Participants’ performance on the game, measured by weighted time-to-target, improved steadily overall in the experimental group, while the sham control group stayed at high performance throughout. The MINT provides a motivating, enjoyable way to provide high-intensity therapy in the home to stroke survivors. This therapy is a new mechanism of action for stroke rehabilitation and we are evaluating its efficacy in an ongoing randomized controlled trial.

Motor Function Assessment of Upper Limb in Stroke Patients.

Background Quantitative assessment of motor function is extremely important for poststroke patients as it can be used to develop personalized treatment strategies. This study aimed to propose an evaluation method for upper limb motor function in stroke patients. Methods Thirty-four stroke survivors and twenty-five age-matched healthy volunteers as the control group were recruited for this study. Inertial sensor data and surface electromyography (sEMG) signals were collected from the upper limb during voluntary upward reaching. Five features included max shoulder joint angle, peak and average speeds, torso balance calculated from inertial sensor data, and muscle synergy similarity extracted from sEMG data by the nonnegative matrix factorization algorithm. Meanwhile, the Fugl–Meyer score of each patient was graded by professional rehabilitation therapist. Results Statistically significant differences were observed among severe, mild-to-moderate, and control group of five features (p ≤ 0.001). The features varied as the level of upper limb motor function changes since these features significantly correlated with the Fugl–Meyer assessment scale (p ≤ 0.001). Moreover, the Bland–Altman method was conducted and showed high consistency between the evaluation method of five features and Fugl–Meyer scale. Therefore, the five features proposed in this paper can quantitatively evaluate the motor function of stroke patients which is very useful in the rehabilitation process.

A usability study in patients with stroke using MERLIN, a robotic system based on serious games for upper limb rehabilitation in the home setting

BackgroundNeuroscience and neurotechnology are transforming stroke rehabilitation. Robotic devices, in addition to telerehabilitation, are increasingly being used to train the upper limbs after stroke, and their use at home allows us to extend institutional rehabilitation by increasing and prolonging therapy. The aim of this study is to assess the usability of the MERLIN robotic system based on serious games for upper limb rehabilitation in people with stroke in the home environment.Methods9 participants with a stroke in three different stages of recovery (subacute, short-term chronic and long-term chronic) with impaired arm/hand function, were recruited to use the MERLIN system for 3 weeks: 1 week training at the Maimonides Biomedical Research Institute of Cordoba (IMIBIC), and 2 weeks at the patients’ homes. To evaluate usability, the System Usability Scale (SUS), Adapted Intrinsic Motivation Inventory (IMI), Quebec User Evaluation of Satisfaction with assistive Technology (QUEST), and the ArmAssist Usability Assessment Questionnaire were used in the post-intervention. Clinical outcomes for upper limb motor function were assessed pre- and post-intervention.Results9 patients participated in and completed the study. The usability assessment reported a high level of satisfaction: mean SUS score 71.94 % (SD = 16.38), mean QUEST scale 3.81 (SD = 0.38), and mean Adapted IMI score 6.12 (SD = 1.36). The results of the ArmAssist Questionnaire showed an average of 6 out of 7, which indicates that MERLIN is extremely intuitive, easy to learn and easy to use. Regarding clinical assessment, the Fugl-Meyer scores showed moderate improvements from pre- to post-intervention in the total score of motor function (p = 0.002). There were no significant changes in the Modified Ashworth scale outcomes (p = 0.169).ConclusionsThis usability study indicates that home-based rehabilitation for upper limbs with the MERLIN system is safe, useful, feasible and motivating. Telerehabilitation constitutes a major step forward in the use of intensive rehabilitation at home.Trial registration ClinicalTrials.gov, NCT04405609. Registered 06 January 2020—Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04405609

Cardiorespiratory mechanisms underlying the impaired oxygen uptake kinetics at exercise onset after stroke.

Oxygen uptake (V˙O2) kinetics at the onset of exercise is slower in patients with stroke than in healthy adults. However, little is known about the cardiorespiratory mechanisms underlying the impaired V˙O2 kinetics. This study aimed to investigate the relative effect of impaired oxygen delivery and utilisation on V˙O2 kinetics at the onset of submaximal exercise in patients with stroke by comparing the time constants of cardiac output (τCO) and V˙O2 (τV˙O2). In addition, we aimed to examine the association between the kinetics of cardiorespiratory variables and functional outcomes. We included 21 patients with stroke (15 males, mean [SD] age 58.7 [9.5] years, mean days post-stroke 67.9 [30.9]). A submaximal constant-load exercise test was performed to measure τV˙O2, τCO, and the time constant of arterialvenous oxygen difference (τAVO2diff). The ratio of τCO to τV˙O2 was calculated to assess the matching of oxygen delivery and consumption. Fugl-Meyer lower-extremity motor scores, comfortable gait speeds, and Functional Independence Measure motor scores were used as functional variables. Mean (SD) τAVO2diff was markedly shorter than τV˙O2 and τCO (26.1 [7.1] vs. 38.7 [10.2] and 46.6 [23.2 s], P<0.05), with no significant difference between τV˙O2 and τCO (P=0.444). The greater ratio of τCO to τV˙O2 was related to poorer motor function (rho=-0.484, P=0.026) and slower comfortable gait speed (r=-0.482, P=0.027). An increase in CO was slower than that in AVO2diff in patients with stroke. Therefore, V˙O2 kinetics in patients with stroke appears to be affected by a delayed increase in CO rather than AVO2diff. Furthermore, these patients with motor and gait impairments may have a poor matching of oxygen delivery and consumption during exercise onset.

A Feasibility Study of Expanded Home-Based Telerehabilitation After Stroke.

Introduction: High doses of activity-based rehabilitation therapy improve outcomes after stroke, but many patients do not receive this for various reasons such as poor access, transportation difficulties, and low compliance. Home-based telerehabilitation (TR) can address these issues. The current study evaluated the feasibility of an expanded TR program.Methods: Under the supervision of a licensed therapist, adults with stroke and limb weakness received home-based TR (1 h/day, 6 days/week) delivered using games and exercises. New features examined include extending therapy to 12 weeks duration, treating both arm and leg motor deficits, patient assessments performed with no therapist supervision, adding sensors to real objects, ingesting a daily experimental (placebo) pill, and generating automated actionable reports.Results: Enrollees (n = 13) were median age 61 (IQR 52–65.5), and 129 (52–486) days post-stroke. Patients initiated therapy on 79.9% of assigned days and completed therapy on 65.7% of days; median therapy dose was 50.4 (33.3–56.7) h. Non-compliance doubled during weeks 7–12. Modified Rankin scores improved in 6/13 patients, 3 of whom were >3 months post-stroke. Fugl-Meyer motor scores increased by 6 (2.5–12.5) points in the arm and 1 (−0.5 to 5) point in the leg. Assessments spanning numerous dimensions of stroke outcomes were successfully implemented; some, including a weekly measure that documented a decline in fatigue (p = 0.004), were successfully scored without therapist supervision. Using data from an attached sensor, real objects could be used to drive game play. The experimental pill was taken on 90.9% of therapy days. Automatic actionable reports reliably notified study personnel when critical values were reached.Conclusions: Several new features performed well, and useful insights were obtained for those that did not. A home-based telehealth system supports a holistic approach to rehabilitation care, including intensive rehabilitation therapy, secondary stroke prevention, screening for complications of stroke, and daily ingestion of a pill. This feasibility study informs future efforts to expand stroke TR.Clinical Trial Registration: Clinicaltrials.gov, # NCT03460587.

Analysis of the Positive Effect of Robot-Assisted Virtual Reality Technology on Rehabilitation of Motor Function and Nerve Function in Cerebral Stroke Patients

To investigate the effects of robot-assisted (RA) virtual reality (VR) intervention on motor function (MF) and nerve function (NF) in patients with cerebral stroke (CS), 60 patients with cerebral apoplexy hemiplegia in convalescence stage were randomly divided into conventional group (CG) and experimental group (EG) (30 patients in each group). The CG received routine rehabilitation training (RT), and the EG used robot VR technology for RT. Brunnstrom classification and Fugl-meyer score were used to evaluate upper limb (UL) function. Maslach Burnout Inventory (MBI) and Motor Activity Scale (MAL) were used to evaluate the activity ability of patients. NF was assessed using the neurological impairment (NI) scale and the incidence of sleep disorders within a month. The recurrence rate of CS and the incidence of vascular cognitive impairment (VCI) within one month were calculated to evaluate the impact of RA rehabilitation on the disease of the patients. The results showed that both groups of patients were able to actively cooperate with doctors and complete the daily training volume. The score of Fugl-meyer in both groups was greatly higher than that before treatment (P &lt; 0.05), and the Brunnstrom score in the EG was greatly higher than that in the CG (P &lt; 0.05). The MBI and MAL grades were greatly higher than those before treatment (P &lt; 0.05), and the EG was greatly higher than the CG (P &lt; 0.05). The scale of NI score of the EG was greatly lower than that of the CG (P &lt; 0.05). The rate of sleep disturbance in the EG was greatly lower than that in the CG (P &lt; 0.05). The incidence of CS recurrence and VCI in the EG was greatly lower than that in the CG (P &lt; 0.05), which shows that RAVR technology combined with psychological intervention can effectively improve the MF and NF of patients with CS and reduce the recurrence rate of patients, which provides experimental data for clinical rehabilitation treatment of CS.

Neurophysiological prognostic factors of motor function and spasticity after stroke

Purpose: Understanding the neural mechanisms of recovery of motor control and development of spasticity after stroke is paramount importance for neurorehabilitation.Methods: For this purpose, we have analyzed several TMS and EEG variables and their association with motor recovery and development of spasticity. Forty-two subjects with stroke have taken part in the investigation. The neurophysiological examination included assessments by transcranial magnetic stimulation (TMS), intra- and inter-hemispheric EEG coherence in different frequency bands (e.g. Theta (4.0–7.99 Hz)) as determined by quantitative electroencephalography (qEEG). Motor function has been measured by Fugl-Meyer (FM), spasticity has been measured by modified Ashworth scale. Multiple univariate and multivariate linear regression analyses have been performed to identify the predictors for motor function and spasticity.Results: Univariate analyses have shown a significant interaction of amplitude and motor threshold (MT) of injured and MT, central motor conduction time of uninjured hemisphere with motor function according to Fugle-Meyer (FM). Also significant interaction has been shown between MT of injured hemisphere and spasticity.Multivariate analyses have shown a significant interaction of MT and beta coherence in injured, uninjured hemisphere and interhemispheric in prediction of motor function by FM. Also significant interaction of MT of injured hemisphere, delta and theta coherence between C3-C4 and spasticity has been shown.These interaction suggests that higher beta activity in the lesioned hemisphere strengthens the association between MT and FM scores. Higher beta activity in the uninjured hemisphere strengthens the association between MT and FM scores. Higher interhemispheric beta activity between C3-C4 strengthens the association between MT and FM scores. Higher delta and theta interhemispheric activity between C3-C4 strengthens the association between MT and Ashworth scores.Conclusions: Our results suggest that MT of both hemispheres is the strongest predictors of motor recovery after stroke. Moreover, cortical activity in the injured and uninjured hemisphere measured by qEEG provides additional information, specifying the association between MT and FM scores. MT of injured hemisphere in the association with low-frequency cortical activity are the strongest predictors of spasticity after stroke.Thus, the combination of EEG and TMS in predicting the recovery of motor control after stroke provides additional opportunities in the study of nonlinear relationships of influencing the interhemispheric networks, uninjured hemisphere and the release of subcortical activity

The Effects of Combining Transcranial Direct Current Stimulation and Gait Training with Functional Electrical Stimulation on Trunk Acceleration During Walking in Patients with Subacute Stroke

ObjectivesThis study aimed to investigate whether the combination of transcranial direct current stimulation (tDCS) and gait training with FES affected walking speed and trunk accelerometry-based gait characteristics in patients with subacute stroke, compared with FES or tDCS gait training only. Materials and MethodsStroke patients (n = 34; female 15; mean age, 72.5 ± 11.2 years; mean days poststroke, 38.7) with resultant paresis in the lower extremity (mean Fugl-Meyer score, 25.5) were enrolled. Patients were randomly assigned to one of three groups: combined anodal tDCS and gait training with FES (tDCS+FES, n = 11), anodal tDCS with gait training (tDCS, n = 11), or combined sham tDCS and gait training with FES (FES, n = 12). Participants received the intervention for 20 minutes and a 40-minute conventional rehabilitative intervention daily for a week. Patients’ walking ability was evaluated using walking speed, harmonic ratio (HR), autocorrelation coefficient (AC), and root mean square (RMS) along each axis using a wearable trunk accelerometer. ResultsThe tDCS+FES group had a significantly greater change in AC in the anteroposterior axis and mediolateral axis than the FES and tDCS groups and FES group, respectively. There were no significant effects on walking speed or other parameters (HR and RMS) among the groups. ConclusionsThe combination of anodal tDCS and gait training with FES improved the post-stroke patients’ gait regularity than FES gait training intervention only. Thus, combined tDCS and FES gait training, as a novel intervention, could be an important therapeutic tool in improving walking performance.

Chronic pontine strokes: Diffusion tensor imaging of corticospinal tract indicates the prognosis in terms of motor outcome.

To investigate relationship between the diffusion indexes of corticospinal tract (CST) and the neurological motor outcomes in chronic pontine stroke patients. Diffusion tensor imaging (DTI) is performed in 27 patients with chronic pontine stroke. Fractional anisotropy (FA) values along the CST area, the track number, and the CST length are measured. Neurological and motor outcomes are evaluated based on Fugl-meyer (FM), National Institutes of Health Stroke Scale (NIHSS), Barthel index (BI), and modified Rankin scale (mRS) scores. The relationships between FA ratios (rFAs) in the CST of stroke subjects and their clinical motor scores are analyzed through Spearman's correlation analysis. Then, diffusion tensor tractography (DTT) is performed to show the injury degree of CST. First, FA values are decreased in the infarct area, cerebral peduncle, posterior limb of the internal capsule, and precentral gyrus compared with those in the contralateral side. The number of CST is decreased in the ipsilateral side of the infarct. Second, rFAs in the cerebral peduncle, posterior limb of the internal capsule, and CST rnum correlate positively with FM scores (r = 0.824, 0.672, 0.651, p < 0.001) and negatively with mRS scores (r = -0.835, -0.604, -0.645, p≤0.001). Third, the injury degree of CST correlates negatively with FM scores (r = -0.627, p < 0.001). The study demonstrates that rFAs in the cerebral peduncle, posterior limb of the internal capsule, and CST rnum associate with motor outcome, suggesting that DTI may be applicable for outcome evaluation.

Effects of Electromyographic Biofeedback Therapy Combined with Comprehensive Rehabilitation Training on Lower Limb Motor Function in Patients with Stroke Recovery

This article explores the effects of myoelectric biofeedback therapy association with rehabilitation training on LLMF in patients with stroke and hemiplegia. Sixty patients with stroke and hemiplegia were separated into the control group and the treatment group. The two groups were disposed neuromedicine drugs and rehabilitation training, while the treatment group also increased the training of the affected side's lower limb electromyography. The same therapist evaluated Fugl-Meyer score (FMA), M-B index (MBI), Berg Balance Scale (BBS), score before and 4 weeks after treatment, and performed statistical analysis. The results showed that the FMA scores, balance ability scores, daily living ability scores, and active range scores of the wrist and stepping joints of the upper and lower limbs after several weeks of treatment in the two groups were better than those in the group before treatment. The scores of the EMG biofeedback treatment group at several weeks were better than the control group of the same period, the difference was statistically significant. EMG Biofeedback Therapy Combined with Comprehensive Rehabilitation Training can effectively improve upper and lower extremity movement, balance function, daily life ability, dorsiflexion of the wrist and dorsiflexion of the step joints after stroke, and the effect is better than that of conventional rehabilitation therapy.

Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking.

Assessment of metabolic cost as a metric for human performance has expanded across various fields within the scientific, clinical, and engineering communities. As an alternative to measuring metabolic cost experimentally, musculoskeletal models incorporating metabolic cost models have been developed. However, to utilize these models for practical applications, the accuracy of their metabolic cost predictions requires improvement. Previous studies have reported the benefits of using personalized musculoskeletal models for various applications, yet no study has evaluated how model personalization affects metabolic cost estimation. This study investigated the effect of musculoskeletal model personalization on estimates of metabolic cost of transport (CoT) during post-stroke walking using three commonly used metabolic cost models. We analyzed walking data previously collected from two male stroke survivors with right-sided hemiparesis. The three metabolic cost models were implemented within three musculoskeletal modeling approaches involving different levels of personalization. The first approach used a scaled generic OpenSim model and found muscle activations via static optimization (SOGen). The second approach used a personalized electromyographic (EMG)-driven musculoskeletal model with personalized functional axes but found muscle activations via static optimization (SOCal). The third approach used the same personalized EMG-driven model but calculated muscle activations directly from EMG data (EMGCal). For each approach, the muscle activation estimates were used to calculate each subject’s CoT at different gait speeds using three metabolic cost models (Umberger et al., 2003; Bhargava et al., 2004; Umberger, 2010). The calculated CoT values were compared with published CoT data as a function of walking speed, step length asymmetry, stance time asymmetry, double support time asymmetry, and severity of motor impairment (i.e., Fugl-Meyer score). Overall, only SOCal and EMGCal with the Bhargava metabolic cost model were able to reproduce accurately published experimental trends between CoT and various clinical measures of walking asymmetry post-stroke. Tuning of the parameters in the different metabolic cost models could potentially resolve the observed CoT magnitude differences between model predictions and experimental measurements. Realistic CoT predictions may allow researchers to predict human performance, surgical outcomes, and rehabilitation outcomes reliably using computational simulations.

Milestones and Timescale of Poststroke Recovery: A Cohort Study

Background Progressive increase of an aging population in Western countries will result in a growth of stroke prevalence. As many stroke survivors chronically show severe disability, increase in economic, social, and medical burden could be expected in the future. Objective and subjective measures of poststroke recovery are necessary to obtain predictive information, to improve the treatments, and to better allocate resources. Aim To explore a measure of the temporal dimension of poststroke recovery, to search for predictive association with multiple clinical variables, and to improve tailoring of poststroke treatments. Method In this observational monocentric cohort study, 176 poststroke inpatients at their first cerebrovascular event were consecutively enrolled. A novel measure based on the time needed to reach the main milestones of motor recovery was proposed. Moreover, two commonly used outcome measures, a measure of global functioning (Functional Independence Measure (FIM™)) and a measure of neurological poststroke deficit (Fugl-Meyer scale), were collected for the investigations of possible predictors. Results The patients showed a substantial increase in Fugl-Meyer and FIM scores during the rehabilitative treatment. The acquisition of three milestones was significantly associated with female sex (autonomous standing), length of stay and Fugl-Meyer initial score (autonomous walking), and Fugl-Meyer initial score (functional arm). These findings provided quantitative data on motor milestone reacquisition in a sample of poststroke patients. It also demonstrated the value of the Fugl-Meyer score in predicting the acquisition of two motor milestones, relevant for daily life activities. Conclusion Systematic recording of the timescale of poststroke recovery showed that motor milestone reacquisition happens, on average and when attainable, in less than 30 days in our sample of patients. The present study underscores the importance of the Fugl-Meyer score as a possible predictor for better improvement in reacquisition times of milestone functional recovery.

Are early measured resting-state EEG parameters predictive for upper limb motor impairment six months poststroke?

ObjectivesInvestigate whether resting-state EEG parameters recorded early poststroke can predict upper extremity motor impairment reflected by the Fugl-Meyer motor score (FM-UE) after six months, and whether they have prognostic value in addition to FM-UE at baseline. MethodsQuantitative EEG parameters delta/alpha ratio (DAR), brain symmetry index (BSI) and directional BSI (BSIdir) were derived from 62-channel resting-state EEG recordings in 39 adults within three weeks after a first-ever ischemic hemispheric stroke. FM-UE scores were acquired within three weeks (FM-UEbaseline) and at 26 weeks poststroke (FM-UEw26). Linear regression analyses were performed using a forward selection procedure to predict FM-UEw26. ResultsBSI calculated over the theta band (BSItheta) (β = −0.40; p = 0.013) was the strongest EEG-based predictor regarding FM-UEw26. BSItheta (β = −0.27; p = 0.006) remained a significant predictor when added to a regression model including FM-UEbaseline, increasing explained variance from 61.5% to 68.1%. ConclusionHigher BSItheta values, reflecting more power asymmetry over the hemispheres, predict more upper limb motor impairment six months after stroke. Moreover, BSItheta shows additive prognostic value regarding FM-UEw26 next to FM-UEbaseline scores, and thereby contains unique information regarding upper extremity motor recovery. SignificanceTo our knowledge, we are the first to show that resting-state EEG parameters can serve as prognostic biomarkers of stroke recovery, in addition to FM-UEbaseline scores.

Impaired Firing Behavior of Individually Tracked Paretic Motor Units During Fatiguing Contractions of the Dorsiflexors and Functional Implications Post Stroke.

Introduction: This study quantified stroke-related changes in the following: (1) the averaged discharge rate of motor units (individually tracked and untracked) identified from high-density electromyography (HD-EMG) recordings, (2) global muscle EMG properties of the dorsiflexors during a fatiguing contraction, and the relationship between task endurance and measures of leg function.Methods: Ten individuals with chronic stroke performed a sustained sub-maximal, isometric, fatiguing dorsiflexion contraction in paretic and non-paretic legs. Motor-unit firing behavior, task duration, maximal voluntary contraction strength (MVC), and clinical measures of leg function were obtained.Results: Compared to the non-paretic leg, the paretic leg task duration was shorter, and there was a larger exercise-related reduction in motor unit global rates, individually tracked discharge rates, and overall magnitude of EMG. Task duration of the paretic leg was more predictive of walking speed and lower extremity Fugl-Meyer scores compared to the non-paretic leg.Discussion: Paretic leg muscle fatigability is increased post stroke. It is characterized by impaired rate coding and recruitment and relates to measures of motor function.

Gains Across WHO Dimensions of Function After Robot-Based Therapy in Stroke Subjects

Background Studies examining the effects of therapeutic interventions after stroke often focus on changes in loss of body function/structure (impairment). However, improvements in activities limitations and participation restriction are often higher patient priorities, and the relationship that these measures have with loss of body function/structure is unclear. Objective This study measured gains across WHO International Classification of Function (ICF) dimensions and examined their interrelationships. Methods Subjects were recruited 11 to 26 weeks after hemiparetic stroke. Over a 3-week period, subjects received 12 sessions of intensive robot-based therapy targeting the distal arm. Each subject was assessed at baseline and at 1 month after end of therapy. Results At baseline, subjects (n = 40) were 134.7 ± 32.4 (mean ± SD) days poststroke and had moderate-severe arm motor deficits (arm motor Fugl-Meyer score of 35.6 ± 14.4) that were stable. Subjects averaged 2579 thumb movements and 1298 wrist movements per treatment session. After robot therapy, there was significant improvement in measures of body function/structure (Fugl-Meyer score) and activity limitations (Action Research Arm Test, Barthel Index, and Stroke Impact Scale–Hand), but not participation restriction (Stroke Specific Quality of Life Scale). Furthermore, while the degree of improvement in loss of body function/structure was correlated with improvement in activity limitations, neither improvement in loss of body function/structure nor improvement in activity limitations was correlated with change in participation restriction. Conclusions After a 3-week course of robotic therapy, there was improvement in body function/structure and activity limitations but no reduction in participation restriction.

Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use

BackgroundAfter stroke, kinematic measures obtained with non-robotic and robotic devices are highly recommended to precisely quantify the sensorimotor impairments of the upper-extremity and select the most relevant therapeutic strategies. Although the ArmeoSpring exoskeleton has demonstrated its effectiveness in stroke motor rehabilitation, its interest as an assessment tool has not been sufficiently documented. The aim of this study was to investigate the psychometric properties of selected kinematic parameters obtained with the ArmeoSpring in post-stroke patients.MethodsThis study involved 30 post-stroke patients (mean age = 54.5 ± 16.4 years; time post-stroke = 14.7 ± 26.7 weeks; Upper-Extremity Fugl-Meyer Score (UE-FMS) = 40.7 ± 14.5/66) who participated in 3 assessment sessions, each consisting of 10 repetitions of the ‘horizontal catch’ exercise. Five kinematic parameters (task and movement time, hand path ratio, peak velocity, number of peak velocity) and a global Score were computed from raw ArmeoSpring’ data. Learning effect and retention were analyzed using a 2-way repeated-measures ANOVA, and reliability was investigated using the intra-class correlation coefficient (ICC) and minimal detectable change (MDC).ResultsWe observed significant inter- and intra-session learning effects for most parameters except peak velocity. The measures performed in sessions 2 and 3 were significantly different from those of session 1. No additional significant difference was observed after the first 6 trials of each session and successful retention was also highlighted for all the parameters. Relative reliability was moderate to excellent for all the parameters, and MDC values expressed in percentage ranged from 42.6 to 102.8%.ConclusionsAfter a familiarization session, the ArmeoSpring can be used to reliably and sensitively assess motor impairment and intervention effects on motor learning processes after a stroke.Trial registration The study was approved by the local hospital ethics committee in September 2016 and was registered under number 05-0916.

User-Driven Functional Movement Training With a Wearable Hand Robot After Stroke.

We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. It is wearable and fully user-controlled, serving two possible roles: as a therapeutic tool that facilitates device-mediated hand exercises to recover neuromuscular function or as an assistive device for use in everyday activities to aid functional use of the hand. We present the clinical outcomes of a pilot study designed as a feasibility test for these hypotheses. 11 chronic stroke (>2 years) patients with moderate muscle tone (Modified Ashworth Scale ≤ 2 in upper extremity) engaged in a month-long training protocol using the orthosis. Individuals were evaluated using standardized outcome measures, both with and without orthosis assistance. Fugl-Meyer post intervention scores without robotic assistance showed improvement focused specifically at the distal joints of the upper limb, suggesting the use of the orthosis as a rehabilitative device for the hand. Action Research Arm Test scores post intervention with robotic assistance showed that the device may serve an assistive role in grasping tasks. These results highlight the potential for wearable and user-driven robotic hand orthoses to extend the use and training of the affected upper limb after stroke.

Deficits underlying handgrip performance in mildly affected chronic stroke persons

ABSTRACT Background Knowledge of the deficits underlying handgrip performance is fundamental for the development of targeted interventions. Objectives The purpose of this study was to evaluate maximal handgrip strength, fatigue resistance, grip work, and muscle fatigue in mildly affected stroke persons. Methods We conducted a prospective observational study. A total of 20 individuals after a first unilateral ischemic/hemorrhagic chronic stroke (months poststroke: mean 33.64 ± 19.60), mildly affected according to functional score (FIM: 112.71 ± 16.14) and with arm motor impairment (upper-extremity Fugl-Meyer score: mean 57.07 ± 7.82 on the contralesional side); and 20 sex and age-matched controls were included. The outcomes assessed were maximal handgrip strength evaluated through maximal voluntary contraction, fatigue resistance defined as the seconds during which grip strength dropped to 50% of its maximum and gripwork, which was calculated using the equation grip work = maximal grip strength * 0.75 * fatigue resistance. Muscle fatigue was assessed using surface electromyography during a sustained contraction over 50% of maximal voluntary contraction. Results Persons with stroke demonstrated significantly reduced handgrip performance regarding maximal handgrip strength, resistance to fatigue, grip work, and muscle fatigue for the contralesional hand. In addition, a reduced grip resistance and muscle fatigue was shown for the ipsilesional hand compared with controls. We found no effect of the hemispheric side of the lesion on the grip performance measures assessed. Conclusions Our findings provide evidence that handgrip performance remain impaired after 6 months after stroke, and may serve as a target for interventions to improve these abilities after stroke.

Impact of smart force feedback rehabilitation robot training on upper limb motor function in the subacute stage of stroke.

To explore the impact of rehabilitation robot training (RRT) on upper limb motor function and daily activity ability in patients with stroke. Forty patients meeting the inclusion criteria were randomly divided into the treatment group (TRE) and the control group (CON). Group TRE was trained with an upper limb rehabilitation robot and group CON was trained with traditional occupational therapy. The training time was six weeks, and the upper limb function and daily activities were then assessed. (1) There was no statistical significance in the Fugl-Meyer (FM) score, Wolf Motor Function Test (WMFT) score, and Modified Barthel Index (MBI) score between the two groups before treatment (P > 0.05). (2) After treatment, the FM score, WMFT score, and MBI score were significantly higher than before treatment (P < 0.01). (3) There was no significant significance between the two groups after treatment (P > 0.05). Both RRT and traditional occupational therapy training are useful for the recovery of upper limb motor function and daily life ability in the sub-acute stage of stroke.

Factors Influencing Paretic Upper Limb Use During First 4 Weeks After Stroke

This study aimed to investigate factors related to paretic upper limb use within the first 4 wks after stroke. Sixty inpatients within 4 wks of first-time stroke were stratified by severity defined by Fugl-Meyer Upper Limb scores: severe = 0-22, moderate = 23-50, and mild = 51-66. All wore a wrist accelerometer on the paretic upper limb (24 hrs). Factors investigated were the following measures: upper limb motor impairment; mobility; balance; functional independence; sensory impairment; cognitive function; social factors; environmental restriction; and knowledge. Individual and multivariate quantile regression analyses were performed. Upper limb motor impairment, mobility, balance, functional independence, self-efficacy, and knowing how to use the paretic upper limb were significantly related to upper limb use across the three impairment groups (pseudo R2 = 0.079-0.492, P < 0.02). Multivariate regression showed the only significant factor in moderate and mild group was Fugl-Meyer Upper Limb score (moderate pseudo R2 = 0.55, mild pseudo R2 = 0.54, P < 0.001). For the severe group, Fugl-Meyer upper limb score and step count were significant (severe pseudo R2 = 0.47, P ≤ 0.030). Upper limb motor impairment is significantly associated with paretic upper limb use across three impairment groups and step count with the severe group. Strategies to improve upper limb motor impairment and increase mobility may be required to increase upper limb use.