ITM Web Conf.
Volume 52, 2023International Conference on Connected Object and Artificial Intelligence (COCIA’2023)
|Number of page(s)||8|
|Section||Artificial Intelligence and its Application|
|Published online||08 May 2023|
Electrical modeling and characterization of the faulty state of the artificial ventilators
RITM Laboratory, Higher School of Technology, CED Science de l’ingénieur, ENSEM, Hassan II University, Casablanca, Morocco.
This paper presents an electrical model for detection and diagnosis of different types of faults that mostly occur in the intensive care devices as well as anesthesia devices. This simplified model, that includes the one-compartment CR model for the respiratory system, is well-described in such manner the maintenance agent should gain an understanding of the artificial ventilator basics without any deep medical knowledge or advanced medical staff contribution. Also, presenting the electrical-pneumatic system analogy can significantly help electronics and electrical engineers to wellunderstand how the ventilator is working and what are the crucial parameters that should be monitored. In the context of the maintenance field action, the model is able to predict the ventilator waveforms abnormality and then help to predict failure in the ventilator itself that lead to helping the IA researcher to think for suitable algorithms for predictive maintenance of medical devices. The model is mathematically described and the circuit is then simulated in Cadence Virtuoso Platform using 130 nm technology. The validity of the proposed model has been assessed using a real ICU ventilator connected to an artificial lung test and running VCV mode.
Key words: Artificial ventilator / RC model / IA / Predictive maintenance / VCV
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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