scholarly journals Kinematic Assessment to Measure Change in Impairment during Active and Active-Assisted Type of Robotic Rehabilitation for Patients with Stroke

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7055
Author(s):  
Donghwan Hwang ◽  
Joon-Ho Shin ◽  
Suncheol Kwon
Keyword(s):  
Upper Extremity ◽  
Rehabilitation Program ◽  
Movement Speed ◽  
Rehabilitation Robot ◽  
Robotic Rehabilitation ◽  
Stroke Patients ◽  
Clinical Scales ◽  
Movement Smoothness ◽  
Measure Change ◽  
Active Rehabilitation

Analysis of kinematic features related to clinical assessment scales may qualitatively improve the evaluation of upper extremity movements of stroke patients. We aimed to investigate kinematic features that could correlate the change in the Fugl-Meyer Assessment (FMA) score of stroke survivors through upper extremity robotic rehabilitation. We also analyzed whether changes in kinematic features by active and active-assisted robotic rehabilitation correlated differently with changes in FMA scores. Fifteen stroke patients participated in the upper extremity robotic rehabilitation program, and nine kinematic features were calculated from reach tasks for assessment. Simple and multiple linear regression analyses were used to characterize correlations. Features representing movement speed were associated with changes in FMA scores for the group that used an active rehabilitation robot. In contrast, in the group that used an active-assisted rehabilitation robot, features representing movement smoothness were associated with changes in the FMA score. These estimates can be an important basis for kinematic analysis to complement clinical scales.

scholarly journals Kinematic variables for upper limb rehabilitation robot and correlations with clinical scales: A review

2020 ◽  
Vol 9 (1) ◽  
pp. 75-82
Author(s):  
Sulaiman Mazlan ◽  
Hisyam Abdul Rahman ◽  
Yeong Che Fai ◽  
Babul Salam Ksm Kader Ibrahim ◽  
Muhamad Saif Huq
Keyword(s):  
Motor Impairment ◽  
Clinical Score ◽  
Rehabilitation Program ◽  
Upper Body ◽  
Speed Ratio ◽  
Stroke Patients ◽  
Upper Limb Rehabilitation ◽  
Clinical Scales ◽  
Robotic Devices ◽  
Peak Speed

The paper presents a comprehensive review carried out to identify the kinematic variables used in upper body rehabilitation assisted by robotic devices to assess the motor impairment of stroke patients and investigates the correlation between the kinematic variables and the clinical scales. Twenty-nine kinematic variables have been studied from twenty-eight articles involving 738 subacute or chronic stroke patients. The movement of speed, distance, accuracy, peak speed, peak speed ratio and number of peak speed were found to be the most frequently used kinematic variables in the aforementioned studies. Seven out of twenty-eight included articles examined the correlations between the kinematic variables used with the clinical scales. Some kinematic variables seem to have a strong correlation with the clinical scales but most of the kinematic variables have a moderate or weak correlation value. The important kinematic variables for evaluating the motor performance during rehabilitation assisted by robotic devices have been discussed. A suitable selected set of kinematic variables and clinical scale can potentially enhance the correlation value, at the same time can predict the clinical score evaluated by physiotherapist during the rehabilitation program with a high degree of accuracy.

Abstract P58: Motor Recovery After Chronic Stroke Correlates With Diffusion Tensor Measures of Ipsilesional Cerebral and Cerebellar White Matter Integrity

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Sarah N Chiang ◽  
Siddharth Rana ◽  
Joseph B Humphries ◽  
Eric C Leuthardt
Keyword(s):  
White Matter ◽  
Upper Extremity ◽  
Motor Function ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Rehabilitation Program ◽  
Chronic Stroke ◽  
Stroke Patients ◽  
Cerebellar White Matter ◽  
Time Points

Introduction: We aimed to determine whether white matter (WM) tract integrity improved after a brain-computer interface (BCI) rehabilitation program for chronic stroke patients with upper extremity weakness. Mean diffusivity (MD) was calculated from diffusion tensor imaging (DTI) and is an indication of the integrity of axons and myelination in WM. MD is a biomarker in subacute stroke for post-stroke motor deficits and recovery. Methods: DTI scans were performed with 9 chronic hemiplegic stroke patients within 2 weeks of initiation and completion of a 12-week BCI rehabilitation program. All patients were a minimum of 6 months post-stroke. MD was then calculated using DSI-Studio for WM tracts in each patient at both pre- and post-therapy time points. Motor function was evaluated at these time points using the upper extremity portion of the Fugl-Meyer Assessment (UEFM). Voxelwise statistical analysis comparing pre- and post-intervention MD values was carried out using tract-based spatial statistics (TBSS). Relationships between MD measures in regions of interest and changes in motor function were estimated with Spearman correlations. Results: Voxelwise analysis using TBSS showed no significant group-level change in MD of WM tracts throughout the brain after completing BCI rehabilitation. However, the change in MD in ipsilesional cerebral WM was positively correlated with UEFM change (Spearman’s rho = 0.75, p = 0.02) as was the pre-BCI MD in the ipsilesional cerebellar WM (rho = 0.78, p = 0.01). The correlations between contralesional MD measures and UEFM change were not statistically significant. Conclusion: Correlation between changes in mean diffusivity of ipsilesional cerebral white matter and motor improvement in chronic stroke supports the literature that recovery may be mediated by axonal remyelination and regeneration. Furthermore, we find that pre-therapy, ipsilesional cerebellar white matter MD correlates with motor recovery and as such may serve as a predictive measure of the effectiveness of BCI therapy for patients.

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