Back to Search Start Over

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

Authors :
Marco Germanotta
Valerio Gower
Dionysia Papadopoulou
Arianna Cruciani
Cristiano Pecchioli
Rita Mosca
Gabriele Speranza
Catuscia Falsini
Francesca Cecchi
Federica Vannetti
Angelo Montesano
Silvia Galeri
Furio Gramatica
Irene Aprile
the FDG Robotic Rehabilitation Group
Negrini, Stefano
Source :
Journal of NeuroEngineering and Rehabilitation, Journal of NeuroEngineering and Rehabilitation, Vol 17, Iss 1, Pp 1-10 (2020)
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

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 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.

Details

ISSN :
17430003
Volume :
17
Database :
OpenAIRE
Journal :
Journal of NeuroEngineering and Rehabilitation
Accession number :
edsair.doi.dedup.....6273ca926d2b7ced59cf2a4c986a2cd7
Full Text :
https://doi.org/10.1186/s12984-019-0634-5