Anaesthesia Machine Control Using Raspberry Pi Pico With Battery Backup & Machine Learning

• Author(s):

  Dr.V. Adi Narayana | Mr. S. Gowtham | Ms L. Lakshmi Sri Anvitha | Mr. D. Yaswanth | Mr. P. Sai Teja

• Keywords:

  Anesthesia, RaspberryPi Pico, Heartrate, Temperature, SPO2, Blood Pressure, Infusion, Battery

• Abstract:

  This Study Suggests A Method For Using The Raspberry Pi An Inexpensive Microprocessor, To Operate Anesthetic Machines. In Order To Precisely Provide Anesthetic Gases And Vapours To Patients During Surgical Procedures, Aesthesia 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. To Further Enhance System Reliability, Especially In Critical Surgical Environments, A Battery Backup Module Is Integrated To Ensure Uninterrupted Operation During Power Outages, Providing Continuous Monitoring And Control Even In Emergency Conditions.

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Other Details

• Paper id:

  IJSARTV11I4103075

• Published in:

  Volume: 11 Issue: 4 April 2025

• Publication Date:

  2025-04-11

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