Ambulatory gait analysis in stroke patients using ultrasound and inertial sensors

D. Weenk, Fokke van Meulen, Bernhard J.F. van Beijnum, Petrus H. Veltink

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    Abstract

    Objective ambulatory assessment of movements of patients is important for an optimal recovery. In this study an ambulatory system is used for assessing gait parameters in stroke patients. Ultrasound range estimates are fused with inertial sensors using an extended Kalman filter to estimate 3D positions, velocities and orientations. For eight stroke patients step lengths and swing and stance times are calculated from a ten meter walk trial and compared to the Berg balance scale. First results show a correlation between step lengths and Berg balance scale score. However, more patients are to be measured and different activities will be investigated in the coming months.
    Original languageUndefined
    Title of host publication13th International Symposium on 3D Analysis of Human Movement, 3D-AHM 2014
    PublisherEcole Polytechnique Fédérale de Lausanne
    Pages385-388
    Number of pages4
    ISBN (Print)9782880748562
    Publication statusPublished - 14 Jul 2014
    Event13th International Symposium on 3D Analysis of Human Movement, 3D-AHM 2014 - Lausanne, Switzerland
    Duration: 14 Jul 201417 Jul 2014
    Conference number: 13
    http://archiveweb.epfl.ch/3dahm2014.epfl.ch/

    Publication series

    Name
    PublisherEPFL

    Conference

    Conference13th International Symposium on 3D Analysis of Human Movement, 3D-AHM 2014
    Abbreviated title3D-AHM
    CountrySwitzerland
    CityLausanne
    Period14/07/1417/07/14
    Internet address

    Keywords

    • EWI-24900
    • BSS-Biomechatronics and rehabilitation technology
    • Stroke patients
    • IR-91437
    • Gait analysis
    • Ultrasound
    • METIS-305940
    • Inertial Sensors

    Cite this

    Weenk, D., van Meulen, F., van Beijnum, B. J. F., & Veltink, P. H. (2014). Ambulatory gait analysis in stroke patients using ultrasound and inertial sensors. In 13th International Symposium on 3D Analysis of Human Movement, 3D-AHM 2014 (pp. 385-388). Ecole Polytechnique Fédérale de Lausanne.