Authors - Shola Usharani, Gayathri Rajakumaran, Braveen manimozhi, Anjana Devi Nandam, Kindinti Karthik, Prabhakaran mohan Abstract - The closed-loop anesthesia delivery (CLAD) development is a significant advancement in modern anesthesiology, offering automatic control of anesthetic administration to maintain optimal patient states during surgical procedures. The article analyses the limitations of existing systems—such as sensor errors, limited adaptability, and system unreliability—by integrating through IoT based control high-accuracy EEG monitoring system with a robust and novel closed-loop control algorithms. From this system the real time EEG signals are continually monitored, analyzed, filtered, and converted into a BIS spectral Index (BIS) values. The target BIS is continuously updated by fuzzy logic, which modulates the drug delivery to maintain sedation levels between 40 and 60. A PID controller used for the BIS error calculation to determine the precise anesthetic levels to be delivered. This amount level is then converted into drug level concentrations to drive the syringe pump connected to the IoT integrated system using stepper motor to administer the drug to the patient. The serial monitor displays all information in real time, including BIS values, PID output, calculated dosage in mg/sec and ml/sec, and the number of motor pulses required for the infusion. This prototype demonstrates enhanced precision and safety over manual control, offering a scalable and cost-effective solution for automated anesthesia delivery, thus avoiding the limitations of existing model.
Open Zoom