Changes in arm-hand function and arm-hand skill performance in patients after stroke during and after rehabilitation

Franck, Johan Anton; Smeets, Rob; Seelen, Henk

doi:10.1371/journal.pone.0179453

Cited by 36 publications

(38 citation statements)

References 50 publications

(63 reference statements)

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“…Rehabilitation of arm function after stroke has been changing substantially over the last decades [7] but, up to now, the optimal intervention is far from being identified. In the last decades, a growing interest has been addressed towards the use of robotic devices to treat the upper limb in patients suffering from neurological disease, especially stroke [8].…”

Section: Introductionmentioning

confidence: 99%

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke

Germanotta

Gower

Papadopoulou

et al. 2020

J NeuroEngineering Rehabil

111

116

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Background: The majority of stroke survivors experiences significant hand impairments, as weakness and spasticity, with a severe impact on the activity of daily living. To objectively evaluate hand deficits, quantitative measures are needed. The aim of this study is to assess the reliability, the validity and the discriminant ability of the instrumental measures provided by a robotic device for hand rehabilitation, in a sample of patients with subacute stroke. Material and methods: In this study, 120 patients with stroke and 40 controls were enrolled. Clinical evaluation included finger flexion and extension strength (using the Medical Research Council, MRC), finger spasticity (using the Modified Ashworth Scale, MAS) and motor control and dexterity during ADL performance (by means of the Frenchay Arm Test, FAT). Robotic evaluations included finger flexion and extension strength, muscle tone at rest, and instrumented MAS and Modified Tardieu Scale. Subjects were evaluated twice, one day apart, to assess the test-retest reliability of the robotic measures, using the Intraclass Correlation Coefficient (ICC). To estimate the response stability, the standard errors of measurement and the minimum detectable change (MDC) were also calculated. Validity was assessed by analyzing the correlations between the robotic metrics and the clinical scales, using the Spearman's Correlation Coefficient (r). Finally, we investigated the ability of the robotic measures to distinguish between patients with stroke and healthy subjects, by means of Mann-Whitney U tests. Results: All the investigated measures were able to discriminate patients with stroke from healthy subjects (p < 0.001). Test-retest reliability was found to be excellent for finger strength (in both flexion and extension) and muscle tone, with ICCs higher than 0.9. MDCs were equal to 10.6 N for finger flexion, 3.4 N for finger extension, and 14.3 N for muscle tone. Conversely, test-retest reliability of the spasticity measures was poor. Finally, finger strength (in both flexion and extension) was correlated with the clinical scales (r of about 0.7 with MRC, and about 0.5 with FAT). Discussion: Finger strength (in both flexion and extension) and muscle tone, as provided by a robotic device for hand rehabilitation, are reliable and sensitive measures. Moreover, finger strength is strongly correlated with clinical scales. Changes higher than the obtained MDC in these robotic measures could be considered as clinically relevant and used to assess the effect of a rehabilitation treatment in patients with subacute stroke.

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Section: Introductionmentioning

confidence: 99%

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke

Germanotta

Gower

Papadopoulou

et al. 2020

J NeuroEngineering Rehabil

111

116

View full text Add to dashboard Cite

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“…There are different rehabilitation therapies and programs are designed for hand and upper limb disabilities that involve manual and device-based techniques. The developed arm and hand rehabilitation programs are playing significant role in recovery of hand disability [8]. Robot assisted therapy, constraint-induced movement theory, virtual reality training, mental practice and mirror therapy are some of the rehabilitation methods currently being used [9][10].…”

Section: Introductionmentioning

confidence: 99%

Low Cost Soft Robotic Gloves for At-home Rehabilitation and Daily Living Activities

Souhail

Vessakosol

2019

JAMRIS

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Stroke is one of the major reasons which affect the human hand functionality and lead to disability. Different repetitive exercises are used to regain the hand functionality which involves robotic exoskeleton. Soft pneumatic actuators are one of the good alternatives to rigid and fixed exoskeletons for rehabilitation. This paper presents soft robotic gloves fabricated with two different lowcost silicones which can be used in daily living activities and rehabilitation purpose. Soft robotic gloves are light weight and compact. These robotic gloves utilize the pneumatic pressure to flex and extend the human hand. Soft robotic gloves were tested on a healthy object for grasping and rehabilitation ability. Results showed that robotic glove was able to grasping and do the Kapandji test. This work presents an important step toward low cost efficient soft robotic devices for rehabilitation of stroke patients.

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“…[4]. About 50% acute stroke survivors suffered from dysfunction of the upper limbs in their chronic phase [5], severely impacting the daily life and the therapeutic effect of rehabilitation therapy, which reduces the quality of life after stroke [6,7].…”

Section: Introductionmentioning

confidence: 99%

Adopting Literature-based Discovery on Rehabilitation Therapy Repositioning for Stroke

Meng

Huang

et al. 2018

Preprint

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2 18 Abstract 19 Stroke is a common disabling disease severely affecting the daily life of the 20 patients. There is evidence that rehabilitation therapy can improve the movement 21 function. However, there are no clear guidelines that identify specific, effective 22 rehabilitation therapy schemes, and the development of new rehabilitation techniques 23 has been fairly slow. One informatics translational approach, called ABC model in 24 Literature-based Discovery, was used to mine an existing rehabilitation candidate 25 which is most likely to be repositioned for stroke. As in the classic ABC model 26 originated from Don Swanson, we built the internal links of stroke (A), assessment 27 scales (B), rehabilitation therapies (C) in PubMed relating to upper limb function 28 measurements for stroke patients. In the first step, with E-utility we retrieved both 29 stroke related assessment scales and rehabilitation therapies records, and complied 30 two datasets called Stroke_Scales and Stroke_Therapies, respectively. In the next 31 step, we crawled all rehabilitation therapies co-occurred with the Stroke_Theapies, 32 named as All_Therapies. Therapies that were already included in Stroke_Therapies 33 were deleted from All_Therapies, so that the remaining therapies were the potential 34 rehabilitation therapies, which could be repositioned for stroke after subsequent 35 filtration by manual check. We identified the top ranked repositioning rehabilitation 36 therapy following by subsequent clinical validation. Hand-arm bimanual intensive 37 training (HABIT) ranked the first in our repositioning rehabilitation therapies list, 38 with the most interaction links with Stroke_Scales. HABIT showed a significant 3 39 improvement in clinical scores on assessment scales of Fugl-Meyer Assessment and 40 Action Research Arm Test in the clinical validation on upper limb function for acute 41 stroke patients. Based on the ABC model and clinical validation of the results, we put 42 forward that HABIT as a promising rehabilitation therapy for stroke, which shows 43 that the ABC model is an effective text mining approach for rehabilitation therapy 44 repositioning. The results seem to be promoted in clinical knowledge discovery. 45 46 Keywords 47 Text mining; ABC model; Stroke; Hand-arm bimanual intensive training; Upper 48 extremity 49 50 Author Summary 51 In the present study, we proposed a text mining approach to mining terms related 52 to disease, rehabilitation therapy, and assessment scale from literature, with a 53 subsequent ABC inference analysis to identify relationships of these terms across 54 publications. The clinical validation demonstrated that our approach can be used to 55 identify potential repositioning rehabilitation therapy strategies for stroke. 56 Specifically, we identified a promising rehabilitation method called HABIT 57 previously used in pediatric congenital hemiplegia. A subsequent clinical trial 58 confirmed this as a highly promising rehabilitation therapy for stroke. 4 59 Introduction 60 Stroke and rehabil...

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Changes in arm-hand function and arm-hand skill performance in patients after stroke during and after rehabilitation

Cited by 36 publications

References 50 publications

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke

Low Cost Soft Robotic Gloves for At-home Rehabilitation and Daily Living Activities

Adopting Literature-based Discovery on Rehabilitation Therapy Repositioning for Stroke

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