IoT-enabled Non-invasive Glucose Monitoring and Heart Rate Detection: A Smart Solution for Diabetes Management

Non-invasive Diabetes Tracker

Abstract

Abstract Views: 0

Acetone, traditionally considered a metabolic waste product, has been found to play a more significant role in physiological processes. Recent technological advancements enable the detection of acetone in human breath, offering a promising alternative to blood and urine sampling for clinical and research applications. The study aimed to explore the potential of the Internet of Things (IoT)-enabled breath acetone as a non-invasive biomarker, particularly for diabetes detection. The experimental setup involves an Arduino Mega board integrated with a TGS822 gas sensor, SEN-11574 pulse sensor, DHT22 humidity and temperature sensor, and a TFT display to measure acetone levels in exhaled breath. IoT-based system ensures efficient data acquisition and real-time monitoring. This offers a comprehensive non-invasive solution to assess acetone as a biomarker in diabetes management. Findings indicate that acetone concentrations in the breath of diabetic patients consistently exceed 1.7 PPM, while non-diabetic individuals exhibit levels below or equal to 1.6 PPM. Acetone stands out as a potential diagnostic marker for diabetes. This is because its levels show a clear and measurable difference in individuals with diabetes as compared to those without diabetes. This significant variation makes acetone a reliable indicator, which could be useful to diagnose diabetes or monitor its progression. Breath acetone analysis offers a non-invasive, sensitive, and practical approach to diagnose and monitor diabetes. This presents an advantageous alternative to conventional methods. The simplicity and effectiveness of this technique make it an attractive option for continuous monitoring. Further research could expand its applicability to other clinical conditions, enhancing patient care and diagnostic efficiency.