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    Identification of walking strategies of people With osteoarthritis of the knee using insole pressure sensors

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    Authors
    Munoz-Organero, Mario
    Littlewood, Chris
    Parker, Jack
    Powell, Lauren
    Grindell, Cheryl
    Mawson, Sue
    Affiliation
    Charles III University of Madrid, Madrid, Spain
    Keele University
    University of Sheffield
    Issue Date
    2017-06-15
    
    Metadata
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    Abstract
    Insole pressure sensors capture the different forces exercised over the different parts of the sole when performing tasks standing up. Using data analysis and machine learning techniques, common patterns and strategies from different users to execute different tasks can be extracted. In this paper, we present the evaluation results of the impact that clinically diagnosed osteoarthritis of the knee at early stages has on insole pressure sensors while walking at normal speeds focusing on the effects caused at points, where knee forces tend to peak for normal users. From the different parts of the foot affected at high knee force moments, the forefoot pressure distribution and the heel to forefoot weight reallocation strategies have shown to provide better correlations with the user's perceived pain in the knee for OA users with mild knee pain. This paper shows how the time differences and variabilities from two sensors located in the metatarsal zone while walking provide a simple mechanism to detect different strategies used by users suffering OA of the knee from control users with no knee pain. The weight dynamic reallocation at the midfoot, when moving forward from heel to forefoot, has also shown to positively correlate with the perceived knee pain. The major asymmetries between pressure patterns in both feet while walking at normal speeds are also captured. Based on the described features, automatic evaluation self-management rehabilitation tools could be implemented to continuously monitor and provide personalized feedback for OA patients with mild knee pain to facilitate user adherence to individualized OA rehabilitation.
    Citation
    Munoz-Organero, M., Littlewood, C., Parker, J., Powell, L., Grindell, C. and Mawson, S., (2017). 'Identification of walking strategies of people with osteoarthritis of the knee using insole pressure sensors'. IEEE Sensors Journal, 17(12), pp. 3909-3920.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Sensors
    URI
    http://hdl.handle.net/10545/624986
    DOI
    10.1109/jsen.2017.2696303
    Additional Links
    https://ieeexplore.ieee.org/abstract/document/7906527
    http://eprints.whiterose.ac.uk/119146/
    Type
    Article
    Language
    en
    ISSN
    1530-437X
    EISSN
    2379-9153
    ae974a485f413a2113503eed53cd6c53
    10.1109/jsen.2017.2696303
    Scopus Count
    Collections
    School of Human Sciences

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