Nasogastric tube dislodgment detection in rehabilitation patients based on fog computing with warning sensors and fuzzy petri net

Chien Ming Li, Yueh-Ren Ho, Wei Ling Chen, Chia Hung Lin, Ming Yu Chen, Yong Zhi Chen

研究成果: Article

3 引文 斯高帕斯(Scopus)

摘要

The use of nasogastric (NG) tubes in acute, critical, and long-term care may lead to mechanical, infectious, and metabolic complications. NG intubation is a risk factor for aspiration and complications of organ injury. Mechanical complications include deliberate self-extubation and accidental extubation, both of which comprise unplanned extubation and occur in >35% of cases in rehabilitation rooms. Therefore, we intend to propose a digital warning tool to detect NG tube dislodgment over several days or weeks for a continuous insertion of the NG tube. On the basis of fog computing, integrating dexter-to-sinister light-controlled sensors and fuzzy Petri net (FPN) was performed to achieve the proposed assistant tool. The proposed intelligent algorithm can also be easily implemented using a high-level programming language (Language C/C++) in an embedded system. The experimental results demonstrated the feasibility of the algorithm under normal conditions and partial and NG two-tube dislodgments.

原文English
頁(從 - 到)117-130
頁數14
期刊Sensors and Materials
31
發行號1
DOIs
出版狀態Published - 2019 一月 1

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Materials Science(all)

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