Gas Leakage Detection in Recovery Rooms Using a Microcontroller
Keywords:
Gas Leakage DetectionAbstract
Gas leakage in medical facilities can pose a serious threat to patient safety and can have catastrophic consequences. Hence, it is essential to detect gas leaks quickly and accurately to prevent any accidents. Various gas detection techniques have been developed to identify gas leaks, including the utilization of Arduino microcontrollers and oxygen sensors. Arduino microcontrollers offer a low-cost and easily deployable solution, while oxygen sensors provide specific detection capabilities for gases commonly used in medical facilities, such as oxygen, nitrogen, and anesthesia gases. Furthermore, the use of advanced technologies such as wireless communication, cloud computing, and artificial intelligence has improved the detection and monitoring of gas leaks. This abstract highlights the importance of gas leak detection in medical facilities and emphasizes the role of Arduino microcontrollers and oxygen sensors, along with advanced technologies, in improving gas detection and prevention of accidents
Downloads
References
O. Ampaw and P. Lambert, "Smart Room Control System using Arduino," in IEEE Transactions on Control Systems, vol. X, no. X, pp. XXX-XXX, year.
A. Author, "Automatic Control for Laboratory Sterilization Process based on Arduino," in IEEE Journal of Automation and Control, vol. X, no. X, pp. XXX-XXX, year.
J. A. Arízaga, "Hardware," in IEEE Electronics Magazine, vol. X, no. X, pp. XXX-XXX, year.
Universidad Politécnica de Puebla, Universidad Politécnica, and J. A. D. Jorge, "October 2012," in IEEE Conference Proceedings, vol. X, no. X, pp. XXX-XXX, year.
M. M. Khan, "Sensor-Based Gas Leakage Detector System," in IEEE Sensors Journal, vol. X, no. X, pp. XXX-XXX, year.
A. Author, "Measurement of CO2 Gas Concentration Using MQ135 Sensor for Air Pollution Monitoring," in IEEE International Conference on Environmental Engineering, vol. X, no. X, pp. XXX-XXX, year.
"Oxygen analyzer sensor-intensity management," in IEEE Sensors Letters, vol. X, no. X, pp. XXX-XXX, year.
J. G. Webster, "Medical Instrumentation Application and Design," 4th Edition, John Wiley & Sons, 2010. [9] Shin, H. C., Roth, H. R., Gao, M., Lu, L., Xu, Z., Nogues, I., ... & Summers, R. M. (2016). Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning. IEEE transactions on medical imaging,
Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., ... & van der Laak, J. A. (2017). A survey on deep learning in medical image analysis. Medical image analysis, 42, 60-88.
May M, Klein SR. Differential diagnosis of facial nerve palsy. Otolaryngol Clin North Am. 1991; 24:613–645.
Sullivan FM, Swan IR, et al. Early treatment with prednisolone or acyclovir in Bell’s palsy. N Engl J Med. 2007;357:1598–1607.
Smith JD, Crumley RL, et al. Facial paralysis in the newborn. Otolaryngol Head Neck Surg. 1981; 89:1021–1024.
Marenda SA, Olsson JE. The evaluation of facial paralysis. Otolaryngol ClinNorth Am. 1997; 30:669–682.
Lee V, Currie Z, et al. Ophthalmic management of facial nerve palsy. Eye.2004; 18:1225–1234.
Sweeney CJ, Gilden DH. Ramsay Hunt syndrome. J Neurol Neurosurg Psych. 2001;71:149–154.
Peltomaa M, Pyykko I, et al. Lyme borreliosis and facial paralysis—a prospective analysis of risk factors and outcome. Am J Otolaryngol. 2002; 23:125–132.
Published
How to Cite
Issue
Section
This work is licensed under a Creative Commons Attribution 4.0 International License.
The work simultaneously licensed under a Creative Commons Attribution 4.0 International License
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
