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  Published Paper Details:

  Paper Title

ANAESTHESIA BASED MACHINE CONTROL USING RASPBERRY PI

  Authors

  Prof. Shyam Sundar V,  Sumeera Sultana N,  Ashwit,  Tanzil Ahmed,  Chaitra S V

  Keywords

Anesthesia, Raspberry Pi, Heartrate, Temperature, SPO2, Body Wetness, infusion.

  Abstract


This study suggests a method for using the Raspberry Pi, an inexpensive, multipurpose microprocessor, to operate anesthetic machines. In order to precisely provide anesthetic gases and vapors to patients during surgical procedures, anesthesia machines are essential medical equipment. Customization and integration with contemporary healthcare systems are frequently restricted by the proprietary hardware and software used by traditional anesthetic machines. Through the utilization of Raspberry Pi's capabilities, we offer an adaptable and economical approach to control anesthetic machines. Our system makes use of sensors to keep an eye on critical factors including oxygen content, pressure, and gas flow rates. It then provides real-time feedback to guarantee precise anesthetic delivery. By analyzing this data and modifying the machine's settings accordingly, the Raspberry Pi maximizes patient comfort and safety .Moreover, our methodology facilitates smooth integration with electronic health records

  IJCRT's Publication Details

  Unique Identification Number - IJCRTAB02146

  Paper ID - 259982

  Page Number(s) - 966-970

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Prof. Shyam Sundar V,  Sumeera Sultana N,  Ashwit,  Tanzil Ahmed,  Chaitra S V,   "ANAESTHESIA BASED MACHINE CONTROL USING RASPBERRY PI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.966-970, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAB02146.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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