Literature DB >> 31510885

Standardized measurement of quality of upper limb movement after stroke: Consensus-based core recommendations from the Second Stroke Recovery and Rehabilitation Roundtable.

G Kwakkel1, Eeh Van Wegen2, J H Burridge3, C J Winstein4, Leh van Dokkum5, M Alt Murphy6, M F Levin7, J W Krakauer8.   

Abstract

The second Stroke Recovery and Rehabilitation Roundtable "metrics" task force developed consensus around the recognized need to add kinematic and kinetic movement quantification to its core recommendations for standardized measurements of sensorimotor recovery in stroke trials. Specifically, we focused on measurement of the quality of upper limb movement. We agreed that the recommended protocols for measurement should be conceptually rigorous, reliable, valid and responsive to change. The recommended measurement protocols include four performance assays (i.e. 2D planar reaching, finger individuation, grip strength, and precision grip at body function level) and one functional task (3D drinking task at activity level) that address body function and activity respectively. This document describes the criteria for assessment and makes recommendations about the type of technology that should be used for reliable and valid movement capture. Standardization of kinematic measurement protocols will allow pooling of participant data across sites, thereby increasing sample size aiding meta-analyses of published trials, more detailed exploration of recovery profiles, the generation of new research questions with testable hypotheses, and development of new treatment approaches focused on impairment. We urge the clinical and research community to consider adopting these recommendations.

Entities:  

Keywords:  Stroke; biomechanics; consensus; measurement; recovery; rehabilitation; upper extremity

Mesh:

Year:  2019        PMID: 31510885     DOI: 10.1177/1747493019873519

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  18 in total

1.  A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments.

Authors:  Christoph M Kanzler; Mike D Rinderknecht; Anne Schwarz; Ilse Lamers; Cynthia Gagnon; Jeremia P O Held; Peter Feys; Andreas R Luft; Roger Gassert; Olivier Lambercy
Journal:  NPJ Digit Med       Date:  2020-05-29

Review 2.  Blowing up Neural Repair for Stroke Recovery: Preclinical and Clinical Trial Considerations.

Authors:  Nick S Ward; S Thomas Carmichael
Journal:  Stroke       Date:  2020-09-21       Impact factor: 7.914

Review 3.  Machine Learning for 3D Kinematic Analysis of Movements in Neurorehabilitation.

Authors:  Ahmet Arac
Journal:  Curr Neurol Neurosci Rep       Date:  2020-06-15       Impact factor: 5.081

4.  A domestic robotic rehabilitation device for assessment of wrist function for outpatients.

Authors:  Matthias Panny; Andreas Mayr; Marco Nagiller; Yeongmi Kim
Journal:  J Rehabil Assist Technol Eng       Date:  2020-12-04

5.  Effect of post-stroke spasticity on voluntary movement of the upper limb.

Authors:  Hadar Lackritz; Yisrael Parmet; Silvi Frenkel-Toledo; Melanie C Baniña; Nachum Soroker; John M Solomon; Dario G Liebermann; Mindy F Levin; Sigal Berman
Journal:  J Neuroeng Rehabil       Date:  2021-05-13       Impact factor: 4.262

6.  A low-dimensional representation of arm movements and hand grip forces in post-stroke individuals.

Authors:  Christoph M Kanzler; Giuseppe Averta; Olivier Lambercy; Matteo Bianchi; Anne Schwarz; Jeremia P O Held; Roger Gassert; Antonio Bicchi; Marco Santello
Journal:  Sci Rep       Date:  2022-05-09       Impact factor: 4.996

7.  A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments.

Authors:  Christoph M Kanzler; Mike D Rinderknecht; Anne Schwarz; Ilse Lamers; Cynthia Gagnon; Jeremia P O Held; Peter Feys; Andreas R Luft; Roger Gassert; Olivier Lambercy
Journal:  NPJ Digit Med       Date:  2020-05-29

8.  Relationships Between Stepping-Reaction Movement Patterns and Clinical Measures of Balance, Motor Impairment, and Step Characteristics After Stroke.

Authors:  Courtney L Pollock; Michael A Hunt; S Jayne Garland; Tanya D Ivanova; James M Wakeling
Journal:  Phys Ther       Date:  2021-05-04

9.  Corticospinal Tract Microstructure Predicts Distal Arm Motor Improvements in Chronic Stroke.

Authors:  Bokkyu Kim; Nicolas Schweighofer; Justin P Haldar; Richard M Leahy; Carolee J Winstein
Journal:  J Neurol Phys Ther       Date:  2021-10-01       Impact factor: 4.655

10.  Relationships between accelerometry and general compensatory movements of the upper limb after stroke.

Authors:  Jessica Barth; Joeseph W Klaesner; Catherine E Lang
Journal:  J Neuroeng Rehabil       Date:  2020-10-20       Impact factor: 4.262

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