English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51491/86611 (59%)
Visitors : 8251635      Online Users : 106
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/87951

    Title: A cyber-physical system for healthcare and rehabilitation : pelvic floor muscle training
    Other Titles: 健康照護與醫療復健的信息物理系統 : 骨盆底肌肉訓練
    Authors: 蔡坤孝;Tsai, Kun-Hsiao
    Contributors: 淡江大學資訊工程學系博士班
    陳瑞發;Chen, Jui-Fa
    Keywords: 健康照護;醫療復健;信息物理系統;尿失禁治療;骨盆底肌肉訓練;凱格爾運動;Healthcare;Rehabilitation;Cyber-Physical Systems;Urinary Incontinence Treatment;Pelvic Floor Muscle Training;Kegel Exercise
    Date: 2012
    Issue Date: 2013-04-13 11:53:46 (UTC+8)
    Abstract: 近年來,健康照護與醫療復健逐漸受到重視,加上科技日新月異,許多傳統的醫療設備在結合新的電子技術後,使其產生了更強大的功能。在醫療復健上,因為許多的醫療設備尚未與電子技術結合,使得醫師無法隨時掌握病人復健的情況,而病人在家裡進行復健時,因為沒有醫療人員的協助下,常無法得知自己的動作是否正確,進而影響復健的成效。
    Recently, healthcare and rehabilitation are becoming more and more important. Due to the advancement of technology, traditional medical equipment may produce great contributions after the combination of equipment and electronic technology. Nowadays, much medical equipment is not combined with electronic technology. Hence, doctors do not track patients’ courses of treatment. Moreover, when patients do rehabilitation exercises at home without the assistance of doctors or nurses, they cannot confirm that their rehabilitation motions are correct or not. It may affect the effectiveness of rehabilitation.
    In this dissertation, we propose a new rehabilitation architecture. We connect traditional medical equipment with electronic technology. We assist doctors in understanding patients’ rehabilitation via the process of data collection, quantization, clustering, classification, and analysis. Also, by the process of clustering and classification, patients can determine whether their rehabilitation actions are correct or not and adjust their own rehabilitation actions accordingly to improve the effectiveness of rehabilitation.
    In implementation, we apply our architecture to pelvic floor muscle training (PFMT). We cooperated with a doctor of the Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taiwan, and performed a series of experiments to verify our theory. The system has been implemented in medicine and has been used to treat patients with urinary incontinence in practice. We hope that this system can help more patients in the future.
    Appears in Collections:[資訊工程學系暨研究所] 學位論文

    Files in This Item:

    File SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback