Blood leakage detection during dialysis therapy based on fog computing with array photocell sensors and heteroassociative memory model. Issue 1 (26th January 2018)

• Record Type: Journal Article
• Authors: Wu, Jian‐Xing; Huang, Ping‐Tzan; Lin, Chia‐Hung; Li, Chien‐Ming
• Is Part Of: Healthcare technology letters. Volume 5:Issue 1(2018)
• Page Start: 38
• Page End: 44
• Publication Date: 2018-01-26
• Subjects: blood -- patient treatment -- distributed processing -- photoelectric cells -- telemedicine -- wireless sensor networks -- patient monitoring -- bio‐optics; blood leakage detection -- dialysis therapy -- fog computing -- array photocell sensors -- heteroassociative memory model -- blood loss -- healthcare givers -- patients -- adult blood volume -- morbidities -- mortality -- HAM model -- virtual alarm unit -- electricity changes -- end‐sensing units -- remote monitor devices -- cloud computing -- wavelength 500 nm to 700 nm; Biomedical engineering -- Periodicals; Medical technology -- Periodicals; 610.28
• DOI: 10.1049/htl.2017.0091
• Languages: English
• ISSNs: 2053-3713

Abstract

Abstract : 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.