Detection of patient's bed statuses in 3D using a Microsoft Kinect.
EMBC(2014)
摘要
Patients spend the vast majority of their hospital stay in an unmonitored bed where various mobility factors can impact patient safety and quality. Specifically, bed positioning and a patient's related mobility in that bed can have a profound impact on risks such as pneumonias, blood clots, bed ulcers and falls. This issue has been exacerbated as the nurse-per-bed (NPB) ratio has decreased in recent years. To help assess these risks, it is critical to monitor a hospital bed's positional status (BPS). Two bed positional statuses, bed height (BH) and bed chair angle (BCA), are of critical interests for bed monitoring. In this paper, we develop a bed positional status detection system using a single Microsoft Kinect. Experimental results show that we are able to achieve 94.5% and 93.0% overall accuracy of the estimated BCA and BH in a simulated patient's room environment.
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关键词
bed ulcers,bed positioning,blood clots,patient bed status detection,3d microsoft kinect,patient monitoring,hospitals,biomedical engineering,pneumonias,falls,hospital stay,nurse-per-bed ratio,bed chair angle,patient safety,bed height,patient quality
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