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

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)117-130
Number of pages14
JournalSensors and Materials
Volume31
Issue number1
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

Petri nets
fog
warning
Fog
Patient rehabilitation
tubes
sensors
Sensors
Embedded systems
Computer programming languages
high level languages
programming languages
organs
rooms
insertion
vacuum

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Materials Science(all)

Cite this

Li, Chien Ming ; Ho, Yueh-Ren ; Chen, Wei Ling ; Lin, Chia Hung ; Chen, Ming Yu ; Chen, Yong Zhi. / Nasogastric tube dislodgment detection in rehabilitation patients based on fog computing with warning sensors and fuzzy petri net. In: Sensors and Materials. 2019 ; Vol. 31, No. 1. pp. 117-130.
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Nasogastric tube dislodgment detection in rehabilitation patients based on fog computing with warning sensors and fuzzy petri net. / Li, Chien Ming; Ho, Yueh-Ren; Chen, Wei Ling; Lin, Chia Hung; Chen, Ming Yu; Chen, Yong Zhi.

In: Sensors and Materials, Vol. 31, No. 1, 01.01.2019, p. 117-130.

Research output: Contribution to journalArticle

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