RETRACTED: An Exploratory Approach for Real-Time Blood Glucose Monitoring Using Non-Invasive Sensors for Reducing Impact of Community-Acquired Pneumonia

Abstract

Purpose Every year, about 1.5 million people die from complications related to diabetes, which affects both developing and developed countries alike. Patients with diabetes are more likely to expire from a lung infection than their non-diabetic peers, and adults with diabetes are more likely to get pneumonia. Intensive care unit, pneumonia patients and pregnant women have a daily challenge in blood glucose management, including correcting hyperglycemia and ensuring that blood glucose levels remain stable. Method This research focused on developing a wearable non-invasive internet of things (IoT) based glucose monitoring (iGM) using TTGOT-ESP32 IoT platform for ICU patients, pregnant women, and isolated patients. Result After 10 hours of abstaining from food, the open-source iGM device has an accuracy of 98.78 percent; two hours after eating breakfast, its accuracy drops to 98.20 percent. The open-source iGM architecture that was built streams real-time blood glucose on AWS IoT Core, which reduces the amount of weariness experienced by nurses, and makes life simpler overall. Conclusion According to this research outcomes, the frequency of diabetes among community acquired pneumonia (CAP) patients is substantially higher than in the general population. The proposed iGM framework will serve as a useful tool for CAP and diabetes patient for healthcare planning.

IOT Based Continuous Glucose Monitoring for Diabetes Mellitus using Deep Siamese Domain Adaptation Convolutional Neural Network

“…Diabetes was listed as one of the top 10 causes of death by the WHO. Both an individual's and society's well-being are significantly impacted by diabetes [12]. Unfortunately, diabetes currently has no recognized long-term remedy.…”