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

被引:12
作者
Brihmat, Nabila [1 ]
Loubinoux, Isabelle [1 ]
Castel-Lacanal, Evelyne [1 ,2 ]
Marque, Philippe [1 ,2 ]
Gasq, David [1 ,3 ,4 ]
机构
[1] Univ Toulouse, Toulouse NeuroImaging Ctr, UPS, INSERM,ToNIC, Toulouse, France
[2] Univ Hosp Toulouse, Dept Phys & Rehabil Med, Toulouse, France
[3] Univ Hosp Toulouse, Dept Physiol Explorat, Toulouse, France
[4] Hop Rangueil, Serv Explorat Fonct Physiol, 1 Ave Pr Poulhes, F-31059 Toulouse, France
关键词
Learning; Hemiplegia; Exoskeleton device; Psychometrics; ArmeoSpring; TEST-RETEST RELIABILITY; OUTCOME MEASURES; REHABILITATION; MOVEMENT; RECOVERY; ROBOT; IMPAIRMENT; THERAPY; TASKS;
D O I
10.1186/s12984-020-00759-2
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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 (taskandmovement time, hand path ratio, peak velocity, number of peak velocity) anda globalScorewere 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 registrationThe study was approved by the local hospital ethics committee in September 2016 and was registered under number 05-0916.
引用
收藏
页数:12
相关论文
共 53 条
[1]   Kinematic analysis of the upper extremity after stroke - how far have we reached and what have we grasped? [J].
Alt Murphy, Margit ;
Hager, Charlotte K. .
PHYSICAL THERAPY REVIEWS, 2015, 20 (03) :137-155
[2]   Kinematic Variables Quantifying Upper-Extremity Performance After Stroke During Reaching and Drinking From a Glass [J].
Alt Murphy, Margit ;
Willen, Carin ;
Sunnerhagen, Katharina S. .
NEUROREHABILITATION AND NEURAL REPAIR, 2011, 25 (01) :71-80
[3]   Criteria for assessing the tools of disability outcomes research [J].
Andresen, EM .
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2000, 81 (12) :S15-S20
[4]   Motor cortical plasticity induced by motor learning through mental practice [J].
Avanzino, Laura ;
Gueugneau, Nicolas ;
Bisio, Ambra ;
Ruggeri, Piero ;
Papaxanthis, Charalambos ;
Bove, Marco .
FRONTIERS IN BEHAVIORAL NEUROSCIENCE, 2015, 9
[5]   Upper Limb Obstacle Avoidance Behavior in Individuals With Stroke [J].
Banina, Melanie C. ;
Mullick, Aditi A. ;
McFadyen, Bradford J. ;
Levin, Mindy F. .
NEUROREHABILITATION AND NEURAL REPAIR, 2017, 31 (02) :133-146
[6]   Kinematic Robot-Based Evaluation Scales and Clinical Counterparts to Measure Upper Limb Motor Performance in Patients With Chronic Stroke [J].
Bosecker, Caitlyn ;
Dipietro, Laura ;
Volpe, Bruce ;
Krebs, Hermano Igo .
NEUROREHABILITATION AND NEURAL REPAIR, 2010, 24 (01) :62-69
[7]   Effects of Arm Weight Support Training to Promote Recovery of Upper Limb Function for Subacute Patients after Stroke with Different Levels of Arm Impairments [J].
Chan, Irene H. L. ;
Fong, Kenneth N. K. ;
Chan, Dora Y. L. ;
Wang, Apple Q. L. ;
Cheng, Eddy K. N. ;
Chau, Pinky H. Y. ;
Chow, Kathy K. Y. ;
Cheung, Hobby K. Y. .
BIOMED RESEARCH INTERNATIONAL, 2016, 2016
[8]   Test-Retest Reliability of Robotic Assessment Measures for the Evaluation of Upper Limb Recovery [J].
Colombo, Roberto ;
Cusmano, Ivana ;
Sterpi, Irma ;
Mazzone, Alessandra ;
Delconte, Carmen ;
Pisano, Fabrizio .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2014, 22 (05) :1020-1029
[9]   Efficacy of Armeo®Spring during the chronic phase of stroke. Study in mild to moderate cases of hemiparesis [J].
Colomer, C. ;
Baldovi, A. ;
Torrome, S. ;
Navarro, M. D. ;
Moliner, B. ;
Ferri, J. ;
Noe, E. .
NEUROLOGIA, 2013, 28 (05) :261-267
[10]   When to use agreement versus reliability measures [J].
de Vet, Henrica C. W. ;
Terwee, Caroline B. ;
Knol, Dirk L. ;
Bouter, Lex M. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2006, 59 (10) :1033-1039