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A new way of assessing arm function in activity using kinematic Exposure Variation Analysis and portable inertial sensors - A validity study
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF).
2016 (English)In: Manual Therapy, ISSN 1356-689X, E-ISSN 1532-2769, Vol. 21, 241-249 p.Article in journal (Refereed) PublishedText
Abstract [en]

Portable motion systems based on inertial motion sensors are promising methods, with the advantage compared to optoelectronic cameras of not being confined to a laboratory setting. A challenge is to develop relevant outcome measures for clinical use. The aim of this study was to characterize elbow and shoulder motion during functional tasks, using portable motion sensors and a modified Exposure Variation Analysis (EVA) and evaluate system accuracy with optoelectronic cameras. Ten healthy volunteers and one participant with sequel after stroke performed standardised functional arm tasks. Motion was registered simultaneously with a custom developed motion sensor system, including gyroscopes and accelerometers, and an optoelectronic camera system. The EVA was applied on elbow and shoulder joints, and angular and angular velocity EVA plots was calculated. The EVA showed characteristic patterns for each arm task in the healthy controls and a distinct difference between the affected and unaffected arm in the participant with sequel after stroke. The accuracy of the portable system was high with a systematic error ranging between -1.2 degrees and 2.0 degrees. The error was direction specific due to a drift component along the gravity vector. Portable motion sensor systems have high potential as clinical tools for evaluation of arm function. EVA effectively illustrates joint angle and joint angle velocity patterns that may capture deficiencies in arm function and movement quality. Next step will be to manage system drift by including magnetometers, to further develop clinically relevant outcome variables and apply this for relevant patient groups.

Place, publisher, year, edition, pages
2016. Vol. 21, 241-249 p.
Keyword [en]
Upper extremity motion analysis, Portable motion sensors, Exposure Variation Analysis, Validity
National Category
Medical Laboratory and Measurements Technologies Medical Engineering
Identifiers
URN: urn:nbn:se:umu:diva-120666DOI: 10.1016/j.math.2015.09.004ISI: 000373615100033PubMedID: 26456185OAI: oai:DiVA.org:umu-120666DiVA: diva2:938163
Available from: 2016-06-16 Created: 2016-05-18 Last updated: 2016-06-16Bibliographically approved

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Öhberg, FredrikGrip, Helena
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Radiation PhysicsCentre for Biomedical Engineering and Physics (CMTF)
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Medical Laboratory and Measurements TechnologiesMedical Engineering

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