Integrating Flexible Sensor and Virtual Self-Organizing DC Grid Model With Cloud Computing for Blood Leakage Detection During Hemodialysis.

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  • Author(s): Huang PT; Jong TL; Li CM; Chen WL; Lin CH
  • Source:
    IEEE transactions on biomedical circuits and systems [IEEE Trans Biomed Circuits Syst] 2017 Aug; Vol. 11 (4), pp. 784-793. Date of Electronic Publication: 2017 Jul 18.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: IEEE Country of Publication: United States NLM ID: 101312520 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1940-9990 (Electronic) Linking ISSN: 19324545 NLM ISO Abbreviation: IEEE Trans Biomed Circuits Syst Subsets: MEDLINE
    • Publication Information:
      Original Publication: New York, NY : IEEE, c2007-
    • Subject Terms:
      Cloud Computing* ; Renal Dialysis* ; Wireless Technology*; Hemorrhage/*diagnosis ; Monitoring, Physiologic/*instrumentation; Algorithms ; Computer Systems ; Humans
    • Abstract:
      Blood leakage and blood loss are serious complications during hemodialysis. From the hemodialysis survey reports, these life-threatening events occur to attract nephrology nurses and patients themselves. When the venous needle and blood line are disconnected, it takes only a few minutes for an adult patient to lose over 40% of his / her blood, which is a sufficient amount of blood loss to cause the patient to die. Therefore, we propose integrating a flexible sensor and self-organizing algorithm to design a cloud computing-based warning device for blood leakage detection. The flexible sensor is fabricated via a screen-printing technique using metallic materials on a soft substrate in an array configuration. The self-organizing algorithm constructs a virtual direct current grid-based alarm unit in an embedded system. This warning device is employed to identify blood leakage levels via a wireless network and cloud computing. It has been validated experimentally, and the experimental results suggest specifications for its commercial designs. The proposed model can also be implemented in an embedded system.
    • Publication Date:
      Date Created: 20170721 Date Completed: 20171227 Latest Revision: 20181202
    • Publication Date:
      20240829
    • Accession Number:
      10.1109/TBCAS.2017.2695798
    • Accession Number:
      28727557