Literature DB >> 24213596

Using the robotic device REAplan as a valid, reliable, and sensitive tool to quantify upper limb impairments in stroke patients.

Maxime Gilliaux1, Thierry M Lejeune, Christine Detrembleur, Julien Sapin, Bruno Dehez, Clara Selves, Gaëtan Stoquart.   

Abstract

OBJECTIVE: To validate a protocol assessing upper limb kinematics using a planar robot among stroke patients.
DESIGN: Prospective cohort study.
SUBJECTS: Age-matched healthy subjects (n = 25) and stroke patients (n = 25).
METHODS: Various kinematic indices (n = 44) were obtained from 4 tasks performed by subjects with REAplan, a planar end-effector robotic device. The metrological properties of this protocol were studied.
RESULTS: In stroke patients, 43 kinematic indices showed moderate to excellent reliability (intraclass correlation coefficients (ICC) range 0.40-0.95; and minimal detectable changes range 9.9-121.1%). In healthy subjects, 25 kinematic indices showed moderate to excellent reliability (ICC range 0.40-0.91) and 3 indices showed a laterality effect (p < 0.05). Many of these indices (27 of 44) were altered in stroke patients in comparison with healthy subjects (p < 0.05). The Box and Block test (manual dexterity) and Upper Limb Sub-score of the Fugl-Meyer Assessment (motor control) showed moderate to good correlations with, respectively, 13 and 4 indices (r > 0.40). Finally, a principal component analysis allowed the elaboration of a short version of the protocol, reducing the number of indices to 5 (i.e. Amplitude, CVstraightness, Speed Metric, CVjerk metric and CVspeed metric).
CONCLUSION: This study provides a standardized, valid, reliable and sensitive protocol to quantify upper limb impairments in stroke patients, using a planar robot.

Entities:  

Mesh:

Year:  2014        PMID: 24213596     DOI: 10.2340/16501977-1245

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  17 in total

1.  A Novel and Clinically Feasible Instrument for Quantifying Upper Limb Muscle Tone and Motor Function via Indirect Measure Methods.

Authors:  Chieh-Hsiang Hsu; Yu-Chen Lin; Hsiu-Yun Hsu; Hsiao-Feng Chieh; Chien-Ju Lin; Shih-Fu Ling; Fong-Chin Su; Li-Chieh Kuo
Journal:  IEEE J Transl Eng Health Med       Date:  2021-12-20       Impact factor: 3.316

2.  Rhythmic arm movements are less affected than discrete ones after a stroke.

Authors:  Patricia Leconte; Jean-Jacques Orban de Xivry; Gaëtan Stoquart; Thierry Lejeune; Renaud Ronsse
Journal:  Exp Brain Res       Date:  2016-01-09       Impact factor: 1.972

3.  Principal Components Analysis Using Data Collected From Healthy Individuals on Two Robotic Assessment Platforms Yields Similar Behavioral Patterns.

Authors:  Michael D Wood; Leif E R Simmatis; Jill A Jacobson; Sean P Dukelow; J Gordon Boyd; Stephen H Scott
Journal:  Front Hum Neurosci       Date:  2021-05-06       Impact factor: 3.169

4.  Robot-assisted arm assessments in spinal cord injured patients: a consideration of concept study.

Authors:  Urs Keller; Sabine Schölch; Urs Albisser; Claudia Rudhe; Armin Curt; Robert Riener; Verena Klamroth-Marganska
Journal:  PLoS One       Date:  2015-05-21       Impact factor: 3.240

5.  Clinical validation of kinematic assessments of post-stroke upper limb movements with a multi-joint arm exoskeleton.

Authors:  Florian Grimm; Jelena Kraugmann; Georgios Naros; Alireza Gharabaghi
Journal:  J Neuroeng Rehabil       Date:  2021-06-02       Impact factor: 4.262

6.  Contextual interference in children with brain lesions: a pilot study investigating blocked vs. random practice order of an upper limb robotic exergame.

Authors:  Judith V Graser; Caroline H G Bastiaenen; Anja Gut; Urs Keller; Hubertus J A van Hedel
Journal:  Pilot Feasibility Stud       Date:  2021-06-25

Review 7.  Combining Upper Limb Robotic Rehabilitation with Other Therapeutic Approaches after Stroke: Current Status, Rationale, and Challenges.

Authors:  Stefano Mazzoleni; Christophe Duret; Anne Gaëlle Grosmaire; Elena Battini
Journal:  Biomed Res Int       Date:  2017-09-13       Impact factor: 3.411

8.  Pattern of improvement in upper limb pointing task kinematics after a 3-month training program with robotic assistance in stroke.

Authors:  Ophélie Pila; Christophe Duret; François-Xavier Laborne; Jean-Michel Gracies; Nicolas Bayle; Emilie Hutin
Journal:  J Neuroeng Rehabil       Date:  2017-10-13       Impact factor: 4.262

9.  Performance-based robotic assistance during rhythmic arm exercises.

Authors:  Patricia Leconte; Renaud Ronsse
Journal:  J Neuroeng Rehabil       Date:  2016-09-13       Impact factor: 4.262

10.  Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation.

Authors:  Marco Germanotta; Arianna Cruciani; Cristiano Pecchioli; Simona Loreti; Albino Spedicato; Matteo Meotti; Rita Mosca; Gabriele Speranza; Francesca Cecchi; Giorgia Giannarelli; Luca Padua; Irene Aprile
Journal:  J Neuroeng Rehabil       Date:  2018-05-16       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.