Artificial intelligence powered glucose monitoring and controlling system:Pumping module  

作　　者：Sravani Medanki Nikhil Dommati Hema Harshitha Bodapati Venkata Naga Sai Kowsik Katru Gollapalli Moses Abhishek Komaraju Nanda Sai Donepudi Dhanya Yalamanchili Jasti Sateesh Pratap Turimerla 

机构地区：[1]Department of Electronics and Communication Engineering,Velagapudi Ramakrishna Siddhartha Engineering College,Vijayawada 520007,Andhra Pradesh,India [2]Department of General Medicine,Siddhartha Government Medical College,Vijayawada 520008,Andhra Pradesh,India

出　　处：《World Journal of Experimental Medicine》2024年第1期100-112,共13页世界实验医学杂志

摘　　要：BACKGROUND Diabetes,a globally escalating health concern,necessitates innovative solutions for efficient detection and management.Blood glucose control is an essential aspect of managing diabetes and finding the most effective ways to control it.The latest findings suggest that a basal insulin administration rate and a single,highconcentration injection before a meal may not be sufficient to maintain healthy blood glucose levels.While the basal insulin rate treatment can stabilize blood glucose levels over the long term,it may not be enough to bring the levels below the post-meal limit after 60 min.The short-term impacts of meals can be greatly reduced by high-concentration injections,which can help stabilize blood glucose levels.Unfortunately,they cannot provide long-term stability to satisfy the postmeal or pre-meal restrictions.However,proportional-integral-derivative(PID)control with basal dose maintains the blood glucose levels within the range for a longer period.AIM To develop a closed-loop electronic system to pump required insulin into the patient's body automatically in synchronization with glucose sensor readings.METHODS The proposed system integrates a glucose sensor,decision unit,and pumping module to specifically address the pumping of insulin and enhance system effectiveness.Serving as the intelligence hub,the decision unit analyzes data from the glucose sensor to determine the optimal insulin dosage,guided by a pre-existing glucose and insulin level table.The artificial intelligence detection block processes this information,providing decision instructions to the pumping module.Equipped with communication antennas,the glucose sensor and micropump operate in a feedback loop,creating a closed-loop system that eliminates the need for manual intervention.RESULTS The incorporation of a PID controller to assess and regulate blood glucose and insulin levels in individuals with diabetes introduces a sophisticated and dynamic element to diabetes management.The simulation not only allows visualization of ho

关 键 词：DIABETES HYPERGLYCEMIA INSULIN MICROPUMP Closed loop systems Artificial intelligence automation 

分 类 号：G63[文化科学—教育学]