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Unger T, de Sousa Ribeiro R, Mokni M, Weikert T, Pohl J, Schwarz A, Held J, Sauerzopf L, Kühnis B, Gavagnin E, Luft A, Gassert R, Lambercy O, Awai Easthope C, Schönhammer J. Upper limb movement quality measures: comparing IMUs and optical motion capture in stroke patients performing a drinking task. Front Digit Health 2024; 6:1359776. [PMID: 38606036 PMCID: PMC11006959 DOI: 10.3389/fdgth.2024.1359776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/13/2024] [Indexed: 04/13/2024] Open
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.
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Affiliation(s)
- T. Unger
- DART Lab, Lake Lucerne Institute, Vitznau, Switzerland
- Rehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland
| | | | - M. Mokni
- DART Lab, Lake Lucerne Institute, Vitznau, Switzerland
| | - T. Weikert
- DART Lab, Lake Lucerne Institute, Vitznau, Switzerland
| | - J. Pohl
- DART Lab, Lake Lucerne Institute, Vitznau, Switzerland
| | - A. Schwarz
- Department of Neurology, UCLA, Los Angeles, CA, United States
- California Rehabilitation Institute, Los Angeles, CA, United States
| | - J.P.O. Held
- Ambulante Reha Triemli Zurich, Zurich, Switzerland
| | - L. Sauerzopf
- ZHAW School of Health Sciences, Institute of Occupational Therapy, Winterthur, Switzerland
- Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - B. Kühnis
- ZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland
| | - E. Gavagnin
- ZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland
- ZHAW School of Engineering, Centre for Artificial Intelligence, Winterthur, Switzerland
| | - A.R. Luft
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology and Clinical Neuroscience Center, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - R. Gassert
- Rehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland
| | - O. Lambercy
- Rehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland
| | | | - J.G. Schönhammer
- DART Lab, Lake Lucerne Institute, Vitznau, Switzerland
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology and Clinical Neuroscience Center, University of Zurich and University Hospital Zurich, Zurich, Switzerland
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