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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/102544

    Title: 使用復健輔具對尿失禁患者進行凱格爾運動進行療程追蹤
    Other Titles: Using assistive device to patients for tracking Kegel exercise in the incontinence treatment
    Authors: 徐偉智;Shiu, Wei-Jr
    Contributors: 淡江大學資訊工程學系碩士班
    陳瑞發;Chen, Jui-Fa
    Keywords: 尿失禁;凱格爾運動;時間序列分析;無線感測技術;Incontinence Treatment;Kegel Exercise;Time Series Analysis;Wireless Sensor Technology
    Date: 2014
    Issue Date: 2015-05-04 09:58:29 (UTC+8)
    Abstract: 尿失禁的復健治療方式分為侵入式與非侵入式的治療方式,侵入式的治療方式須將儀器侵入人體之中探測骨盆底肌肉的收縮程度,此方式是直接性的針對骨盆底肌肉的收縮程度進行分析與探討,而此復健方式需要侵入人體造成許多人無法接受;而非侵入式的治療方式主要以凱格爾運動為主,藉由提肛向上的力量收縮陰道、尿道口及肛門的肌肉來訓練骨盆底肌肉群,相較來說非侵入式的復健治療方式較大多數人接受,但無加裝任何感測器來感測患者數據。
    In the incontinence treatment of rehabilitation isdivided to invasive therapy and non-invasive therapy. In the invasive therapytreatment, body will be invaded by instrument and detected the contraction. The method is analysis and discussion pelvic floor muscles contraction. The rehabilitation is needed to invade the human body caused most of people would not accept. In the non-invasive therapy treatment, the rehabilitation is based on Kegel exercise. By force of contraction of the levatorani up the vagina, urethra and anus muscle groups to train the pelvic floor muscles. The non-invasive therapy treatment is acceptable than invasive therapy treatment, but it isn’t embeded any sensors.
    In collaboration withthe doctor, we had been developedwireless sensor network assistive device and taught patients. We want to track with patients for a long time, and we need to solve the problem as follows. First, because the assistive device is so heavy and hard, patients will hurt themselves by dropping. Second, she can view her achievement if she have mobile device. The older patients are difficult to use. Last, the Kegelexercise don’t show the effect immediately. Because of reasons, rehabilitationwill be interrupted. This thesissolves three problems of the assistive device, reducing the complexity of the operation and adding prediction patient exercisestatus to the achievement in the rehabilitation.
    Appears in Collections:[資訊工程學系暨研究所] 學位論文

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