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    Recognizing Hemiparetic Ankle Deficits Using Wearable Pressure Sensors

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    Author
    Ramadan, A.
    Roy, A.
    Smela, E.
    Date
    2019
    Journal
    IEEE Journal of Translational Engineering in Health and Medicine
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1109/JTEHM.2019.2942922
    Abstract
    Objective: To provide proof-of-concept for a novel method to recognize impaired push-off and foot-drop deficits in hemiparetic gait using analog pressure sensors. These data may enhance feedback from a modular ankle exoskeleton (such as Anklebot) for stroke rehabilitation, which now employs on/off foot switches under the foot. Methods: A pressure sensor was positioned on the posterior side of the calcaneus. Experiments were conducted on two healthy subjects with normal walking and with hip circumduction and foot drop, the latter to mimic hemiparetic gait post-stroke. Results: Unlike the foot switches, the pressure sensor yielded data during swing. The initial swing and terminal stance readings followed local foot-shoe dynamics and were thus able to detect foot drop swing deficits while also providing push-off information during stance. Discussion: The analog pressure sensors provided more information than foot switches, even during stance. This system may provide clinicians with a tool to monitor foot drop and push-off.
    Keyword
    lower extremity therapy
    microcontroller
    Piezoresistive
    wearable assistive robot
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077359088&doi=10.1109%2fJTEHM.2019.2942922&partnerID=40&md5=deff208b90d1a5e76150d101bc2d8788; http://hdl.handle.net/10713/11636
    ae974a485f413a2113503eed53cd6c53
    10.1109/JTEHM.2019.2942922
    Scopus Count
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    UMB Open Access Articles 2019

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