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    Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People

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    Author
    Torres, RLS; Visvanathan, R; Hoskins, S; van den Hengel, A; Ranasinghe, DC
    Date
    2016-04-01
    Source Title
    Sensors
    Publisher
    MDPI
    University of Melbourne Author/s
    van den Hengel, Anton
    Affiliation
    University General
    Metadata
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    Document Type
    Journal Article
    Citations
    Torres, R. L. S., Visvanathan, R., Hoskins, S., van den Hengel, A. & Ranasinghe, D. C. (2016). Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People. SENSORS, 16 (4), https://doi.org/10.3390/s16040546.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/257939
    DOI
    10.3390/s16040546
    Abstract
    Aging populations are increasing worldwide and strategies to minimize the impact of falls on older people need to be examined. Falls in hospitals are common and current hospital technological implementations use localized sensors on beds and chairs to alert caregivers of unsupervised patient ambulations; however, such systems have high false alarm rates. We investigate the recognition of bed and chair exits in real-time using a wireless wearable sensor worn by healthy older volunteers. Fourteen healthy older participants joined in supervised trials. They wore a batteryless, lightweight and wireless sensor over their attire and performed a set of broadly scripted activities. We developed a movement monitoring approach for the recognition of bed and chair exits based on a machine learning activity predictor. We investigated the effectiveness of our approach in generating bed and chair exit alerts in two possible clinical deployments (Room 1 and Room 2). The system obtained recall results above 93% (Room 2) and 94% (Room 1) for bed and chair exits, respectively. Precision was >78% and 67%, respectively, while F-score was >84% and 77% for bed and chair exits, respectively. This system has potential for real-time monitoring but further research in the final target population of older people is necessary.

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