Litcius/Paper detail

Upper limb movement quality measures: comparing IMUs and optical motion capture in stroke patients performing a drinking task

T Unger, R. de Sousa Ribeiro, Meherzia Mokni, Tim Weikert, Johannes Pohl, Anne Schwarz, Jeremia P. O. Held, Lena Sauerzopf, Benjamin Kühnis, Elena Gavagnin, Andreas R. Luft, Roger Gassert, Olivier Lambercy, Chris Awai Easthope, Josef G. Schönhammer

2024Frontiers in Digital Health27 citationsDOIOpen Access PDF

Abstract

Introduction: Clinical assessment of upper limb sensorimotor function post-stroke is often constrained by low sensitivity and limited information on movement quality. To address this gap, recent studies proposed a standardized instrumented drinking task, as a representative daily activity combining different components of functional arm use. Although kinematic movement quality measures for this task are well-established, and optical motion capture (OMC) has proven effective in their measurement, its clinical application remains limited. Inertial Measurement Units (IMUs) emerge as a promising low-cost and user-friendly alternative, yet their validity and clinical relevance compared to the gold standard OMC need investigation. Method: In this study, we conducted a measurement system comparison between IMUs and OMC, analyzing 15 established movement quality measures in 15 mild and moderate stroke patients performing the drinking task, using five IMUs placed on each wrist, upper arm, and trunk. Results: Our findings revealed strong agreement between the systems, with 12 out of 15 measures demonstrating clinical applicability, evidenced by Limits of Agreement (LoA) below the Minimum Clinically Important Differences (MCID) for each measure. Discussion: These results are promising, suggesting the clinical applicability of IMUs in quantifying movement quality for mildly and moderately impaired stroke patients performing the drinking task.

Topics & Concepts

Physical medicine and rehabilitationTask (project management)TrunkMotion captureKinematicsUpper limbInertial measurement unitMedicinePhysical therapyComputer scienceArtificial intelligenceMotion (physics)EngineeringEcologyClassical mechanicsBiologySystems engineeringPhysicsStroke Rehabilitation and RecoveryMotor Control and AdaptationSpatial Neglect and Hemispheric Dysfunction