Chronic wound assessment and infection detection method.

Journal: BMC medical informatics and decision making
Published Date: May 24, 2019

Abstract

BACKGROUND: Numerous patients suffer from chronic wounds and wound infections nowadays. Until now, the care for wounds after surgery still remain a tedious and challenging work for the medical personnel and patients. As a result, with the help of the hand-held mobile devices, there is high demand for the development of a series of algorithms and related methods for wound infection early detection and wound self monitoring.

Authors

  • Jui-Tse Hsu
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Room 410, Barry Lam Hall, No.1, Sec.4, Roosevelt Road, Taipei, 10617, Taiwan, Republic of China. nturay@gmail.com.
  • Yung-Wei Chen
    Department of Electrical Engineering, National Taiwan University, No.1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan, Republic of China.
  • Te-Wei Ho
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Room 410, Barry Lam Hall, No.1, Sec.4, Roosevelt Road, Taipei, 10617, Taiwan, Republic of China.
  • Hao-Chih Tai
    Department of Surgery, National Taiwan University Hospital, No.1, Changde St., Zhongzheng Dist., Taipei, 10048, Taiwan, Republic of China.
  • Jin-Ming Wu
    Department of Surgery, National Taiwan University Hospital, No.1, Changde St., Zhongzheng Dist., Taipei, 10048, Taiwan, Republic of China.
  • Hsin-Yun Sun
    Department of Internal Medicine, National Taiwan University Hospital, No.1, Changde St., Zhongzheng Dist., Taipei, 10048, Taiwan, Republic of China.
  • Chi-Sheng Hung
    Department of Internal Medicine, National Taiwan University Hospital, No.1, Changde St., Zhongzheng Dist., Taipei, 10048, Taiwan, Republic of China.
  • Yi-Chong Zeng
    Data Analytics Technology and Applications Research Institute, Institute for Information Industry, 11F, No. 106, Sec. 2, Heping E. Rd., Taipei, 106, Taiwan, Republic of China.
  • Sy-Yen Kuo
    Department of Electrical Engineering, National Taiwan University, No.1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan, Republic of China.
  • Feipei Lai
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Room 410, Barry Lam Hall, No.1, Sec.4, Roosevelt Road, Taipei, 10617, Taiwan, Republic of China.

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