Iot Enabled Anaesthesia Control System

Abstract

Anesthesia Administration Plays A Crucial Role In Surgical Procedures, Requiring Precise Monitoring And Control To Ensure Patient Safety. Traditional Anesthesia Delivery Systems Rely Heavily On Manual Adjustments, Which Can Lead To Human Errors And Variability In Dosage. This Paper Presents An IOT-enabled Anesthesia Control System That Integrates Real-time Monitoring, Automated Drug Delivery, And AI-driven Decision-making To Enhance Accuracy And Efficiency. The System Employs Embedded Sensors To Continuously Track Vital Parameters Such As Heart Rate, Blood Pressure, Oxygen Saturation, And Respiratory Rate. These Data Points Are Processed Using Cloud Computing And Analyzed By An AI-based Control Algorithm To Adjust Anesthetic Delivery Dynamically. Additionally, Remote Monitoring Capabilities Allow Anesthetists To Supervise And Intervene When Necessary, Reducing The Burden On Healthcare Professionals. The Proposed System Enhances Patient Safety, Minimizes The Risk Of Overdose Or Underdose, And Improves Surgical Outcomes By Ensuring Stable Anesthesia Levels Throughout The Procedure. By Integrating IOT, Artificial Intelligence, And Medical Automation, This Research Aims To Revolutionize Anesthesia Management, Making It More Precise, Reliable, And Efficient. Future Work Will Focus On Clinical Validation And System Optimization For Widespread Adoption In Operating Theaters.

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