Meiho University Institutional Repository:Item 987654321/2543
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    Please use this identifier to cite or link to this item: http://ir.meiho.edu.tw/ir/handle/987654321/2543


    Title: URINE COLOR AUTOMATIC IDENTIFICATION DEVICE BASED ON MICROCONTROLLER FRAMEWORK AND COLOR QUANTIZATION ALGORITHM
    Authors: Chuan-Pin Lu;Ming-Hui Chuang;Jui-Pin Li;Ta-Hua Yeh
    Contributors: 健康暨護理學院
    Date: 2014
    Issue Date: 2014-09-16T07:53:21Z (UTC)
    Abstract: Urine color is an indicator of health status, especially for patients undergoing medical intervention treatment of urinary
    catheterization. Urinary tract infections are the most frequently developed infections among patients receiving
    treatment in medical institutions. Such infections can be detected from urine color, like in the case of the purple urine
    bag syndrome. However, it is a di±cult task for non-nursing care sta® and even the nursing sta® to correctly conduct
    naked-eye identi¯cation without proper tools. To better assist both nursing and non-nursing care sta® with the
    detection of infection signs in urine bag patients, a urine color automatic identi¯cation device has been developed.
    The device is based on microcontroller framework and color quantization algorithm. A hybrid color quantization
    algorithm and two features were proposed to identify the urine color. The identi¯ed color, as query data instead of
    human-described color keyword, can be used to retrieve the information from the database and then ¯nd possible
    symptoms for early warning. Instead of the nursing sta®, the device can automatically identify the patient's urine color.
    From experimental results, the device with the proposed algorithm shows its capability and feasibility of the urine color
    automatic identi¯cation.
    Relation: Biomedical Engineering: Applications, Basis and Communications
    Appears in Collections:[Department of Information Technology] Papers

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