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

Abstract Background After 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 demonstrat...

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Main Authors: Nabila Brihmat, Isabelle Loubinoux, Evelyne Castel-Lacanal, Philippe Marque, David Gasq
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12984-020-00759-2
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spelling doaj-25319800257d475cad7b18cac1856cea2020-11-25T03:47:23ZengBMCJournal of NeuroEngineering and Rehabilitation1743-00032020-09-0117111210.1186/s12984-020-00759-2Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter useNabila Brihmat0Isabelle Loubinoux1Evelyne Castel-Lacanal2Philippe Marque3David Gasq4ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPSToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPSToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPSToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPSToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPSAbstract Background After 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. Methods This 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). Results We 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%. Conclusions After 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.http://link.springer.com/article/10.1186/s12984-020-00759-2LearningHemiplegiaExoskeleton devicePsychometricsArmeoSpring
collection DOAJ
language English
format Article
sources DOAJ
author Nabila Brihmat
Isabelle Loubinoux
Evelyne Castel-Lacanal
Philippe Marque
David Gasq
spellingShingle Nabila Brihmat
Isabelle Loubinoux
Evelyne Castel-Lacanal
Philippe Marque
David Gasq
Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use
Journal of NeuroEngineering and Rehabilitation
Learning
Hemiplegia
Exoskeleton device
Psychometrics
ArmeoSpring
author_facet Nabila Brihmat
Isabelle Loubinoux
Evelyne Castel-Lacanal
Philippe Marque
David Gasq
author_sort Nabila Brihmat
title Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use
title_short Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use
title_full Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use
title_fullStr Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use
title_full_unstemmed Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use
title_sort kinematic parameters obtained with the armeospring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use
publisher BMC
series Journal of NeuroEngineering and Rehabilitation
issn 1743-0003
publishDate 2020-09-01
description Abstract Background After 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. Methods This 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). Results We 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%. Conclusions After 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.
topic Learning
Hemiplegia
Exoskeleton device
Psychometrics
ArmeoSpring
url http://link.springer.com/article/10.1186/s12984-020-00759-2
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