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Assessment of Gait Symmetry and Gait Normality Using Inertial Sensors: In-Lab and In-Situ Evaluation
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-3495-2961
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4143-2948
Sahlgrenska Academy, Göteborg, Sweden. (Center for Person-Centered Care)
Sahlgrenska Academy, Göteborg, Sweden. (Department of Orthopedics)
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2013 (English)In: Biomedical Engineering Systems and Technologies: 5th International Joint Conference, BIOSTEC 2012, Vilamoura, Portugal, February 1-4, 2012, Revised Selected Papers / [ed] Joaquim Gabriel et al., Heidelberg: Springer Berlin/Heidelberg, 2013, p. 239-254Chapter in book (Refereed)
Abstract [en]

Quantitative gait analysis is a powerful tool for the assessment of a number of physical and cognitive conditions. Unfortunately, the costs involved in providing in-lab 3D kinematic analysis to all patients is prohibitive. Inertial sensors such as accelerometers and gyroscopes may complement in-lab analysis by providing cheaper gait analysis systems that can be deployed anywhere. The present study investigates the use of inertial sensors to quantify gait symmetry and gait normality. The system was evaluated in-lab, against 3D kinematic measurements; and also in-situ, against clinical assessments of hip-replacement patients. Results show that the system not only correlates well with kinematic measurements but it also corroborates various quantitative and qualitative measures of recovery and health status of hip-replacement patients

Place, publisher, year, edition, pages
Heidelberg: Springer Berlin/Heidelberg, 2013. p. 239-254
Series
Communications in Computer and Information Science, ISSN 1865-0929 ; 357
Keyword [en]
gait analysis, accelerometer, motion capture, gait symmetry, gait normality, inertial sensors
National Category
Signal Processing Other Electrical Engineering, Electronic Engineering, Information Engineering Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:hh:diva-23682DOI: 10.1007/978-3-642-38256-7_16Scopus ID: 2-s2.0-84904628264ISBN: 978-3-642-38255-0 ISBN: 978-3-642-38256-7 OAI: oai:DiVA.org:hh-23682DiVA, id: diva2:651767
Projects
AccelGait
Available from: 2013-09-27 Created: 2013-09-27 Last updated: 2016-03-09Bibliographically approved

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