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10.1049/htl.2017.0091

http://scihub22266oqcxt.onion/10.1049/htl.2017.0091
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C5830936!5830936 !29515815
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suck abstract from ncbi

pmid29515815
      Healthc+Technol+Lett 2018 ; 5 (1 ): 38-44
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  • Blood leakage detection during dialysis therapy based on fog computing with array photocell sensors and heteroassociative memory model #MMPMID29515815
  • Wu JX ; Huang PT ; Lin CH ; Li CM
  • Healthc Technol Lett 2018[Feb]; 5 (1 ): 38-44 PMID29515815 show ga
  • Blood leakage and blood loss are serious life-threatening complications occurring during dialysis therapy. These events have been of concerns to both healthcare givers and patients. More than 40% of adult blood volume can be lost in just a few minutes, resulting in morbidities and mortality. The authors intend to propose the design of a warning tool for the detection of blood leakage/blood loss during dialysis therapy based on fog computing with an array of photocell sensors and heteroassociative memory (HAM) model. Photocell sensors are arranged in an array on a flexible substrate to detect blood leakage via the resistance changes with illumination in the visible spectrum of 500-700 nm. The HAM model is implemented to design a virtual alarm unit using electricity changes in an embedded system. The proposed warning tool can indicate the risk level in both end-sensing units and remote monitor devices via a wireless network and fog/cloud computing. The animal experimental results (pig blood) will demonstrate the feasibility.
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