Version 1
: Received: 25 April 2021 / Approved: 27 April 2021 / Online: 27 April 2021 (12:29:28 CEST)
Version 2
: Received: 4 May 2021 / Approved: 6 May 2021 / Online: 6 May 2021 (14:58:50 CEST)
How to cite:
Sinha, A. Estimation of Oxygen Cylinder Availability and Classification of Its Types, Suitability Using Machine Learning and Data Analysis. Preprints.org2021, 2021040710. https://doi.org/10.20944/preprints202104.0710.v2
Sinha, A. Estimation of Oxygen Cylinder Availability and Classification of Its Types, Suitability Using Machine Learning and Data Analysis. Preprints.org 2021, 2021040710. https://doi.org/10.20944/preprints202104.0710.v2
Cite as:
Sinha, A. Estimation of Oxygen Cylinder Availability and Classification of Its Types, Suitability Using Machine Learning and Data Analysis. Preprints.org2021, 2021040710. https://doi.org/10.20944/preprints202104.0710.v2
Sinha, A. Estimation of Oxygen Cylinder Availability and Classification of Its Types, Suitability Using Machine Learning and Data Analysis. Preprints.org 2021, 2021040710. https://doi.org/10.20944/preprints202104.0710.v2
Abstract
This is break direction on oxygen sources and conveyance methodologies for COVID-19 treatment. It has been adjusted from WHO and UNICEF's specialized details and direction for oxygen treatment gadgets, which is important for the WHO clinical gadget specialized arrangement, 1 and depends on current information on the circumstance in China and different nations where cases have been distinguished. This direction is proposed for wellbeing office chairmen, clinical leaders, acquisition officials, arranging officials, biomedical architects, foundation engineers and strategy producers. It portrays how to: measure oxygen interest, to distinguish oxygen sources that are accessible, and select suitable flood sources to best react to COVID-19 patients' requirements, particularly in low-and-center pay nations. WHO will refresh these suggestions as new data opens up. Coronavirus pandemic spurred fake interest for oxygen gas chambers for clinical use - both at emergency clinics and inquisitively, for home use by patients. A few patients and surprisingly sound people investigate the conceivable outcomes and likely benefits of utilizing oxygen from chambers for private utilization. Be that as it may, this isn't continuously protected, and sufficient safety measures are to be taken, bombing which there can be fatalities. This paper investigates the significance of keeping up satisfactory degrees of oxygen levels appropriate for human utilization. It advises the clinical use and the advantages and disadvantages of putting away oxygen chambers at home. The investigation likewise addresses lawful and administrative perspectives. The investigation's discoveries can help people settle on an educated choice on the protected use regarding oxygen gas. Further, it cautions on the expanded significance of guidelines and limiting access and use. This paper aims at designing an oxygen level monitoring technique in an oxygen cylinder. The amount of oxygen present inside the oxygen cylinder is very vital information when such cylinder is in use for supply of oxygen to a critical patient. The amount of oxygen present inside the cylinder is measured by the pressure at the outlet nozzle. The pressure is measured using a high precision MEMS Pressure Sensor. The output of the MEMS pressure sensor is voltage of the order milli. An amplifier is used to amplify this milli volt signal. A microcontroller is used in cascade to process the signal and display the pressure of oxygen cylinder.
Keywords
covid-19, machine learning, oxygen cylinder.
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Anurag Sinha
Commenter's Conflict of Interests: Author