Type 2 diabetes (T2d), also known as diabetes mellitus or adult-onset diabetes, is a chronic condition that disrupts the body’s insulin regulation, a crucial hormone for controlling blood glucose levels. Glucose, a form of sugar, is the primary energy source for cells in the human bloodstream. Regulating glucose metabolism is vital for the body’s proper functioning. The primary challenges in managing T2d include blood sampling, timely analysis, risk of skin infections, and blood-borne diseases. This paper presents the design of an IoT-based, non-invasive system for monitoring blood glucose levels. Our system utilizes medical sensors to gather data, which is then cleaned and transformed using data mining algorithms. Subsequent analysis compares the accuracy and sensitivity of this data with results from pathology labs and glucometers. The system generates specific warning notifications and provides standard medical advice in response to these alerts, aiding T2d patients in painlessly and effortlessly monitoring and controlling their blood sugar levels.

Type 2 Diabetes Mellitus Monitoring Through Non-invasive IoT-Based System

Hussain A.;Hussain A.;Li Q.;Gravina R.;Fortino G.
2024-01-01

Abstract

Type 2 diabetes (T2d), also known as diabetes mellitus or adult-onset diabetes, is a chronic condition that disrupts the body’s insulin regulation, a crucial hormone for controlling blood glucose levels. Glucose, a form of sugar, is the primary energy source for cells in the human bloodstream. Regulating glucose metabolism is vital for the body’s proper functioning. The primary challenges in managing T2d include blood sampling, timely analysis, risk of skin infections, and blood-borne diseases. This paper presents the design of an IoT-based, non-invasive system for monitoring blood glucose levels. Our system utilizes medical sensors to gather data, which is then cleaned and transformed using data mining algorithms. Subsequent analysis compares the accuracy and sensitivity of this data with results from pathology labs and glucometers. The system generates specific warning notifications and provides standard medical advice in response to these alerts, aiding T2d patients in painlessly and effortlessly monitoring and controlling their blood sugar levels.
2024
9783031725234
9783031725241
Non-invasive
Type 2 Diabetes Mellitus
Wearable Sensor
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/386840
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