Abstract:
Metabolic Syndrome (MetS) is a prevalent condition associated with an increased risk of cardiovascular diseases, characterized by high blood pressure, hyperglycemia, and ...Show MoreMetadata
Abstract:
Metabolic Syndrome (MetS) is a prevalent condition associated with an increased risk of cardiovascular diseases, characterized by high blood pressure, hyperglycemia, and dyslipidemia. These risk factors not only exacerbate cardiovascular conditions but also impair immune function. Timely detection and prevention of MetS are imperative to mitigate these health risks. Recent advancements indicate various diagnostic approaches, including electrochemical biomarker detection, muscle mass to visceral fat ratio assessments, and anthropometric indices such as the body roundness index. Moreover, multimodality imaging techniques have become essential tools in comprehensive evaluation of MetS. This study introduces a cost-effective infrared thermal imager designed for MetS ordinary monitoring. Through simulation experiments involving 20 participants, 400 images of samples are collected and analyzed. The results demonstrate significant differences in thermal images between negative and positive samples. This innovative method could potentially offer a cost-effective and non-invasive tool for MetS monitoring.
Published in: 2024 IEEE International Conference on Big Data (BigData)
Date of Conference: 15-18 December 2024
Date Added to IEEE Xplore: 16 January 2025
ISBN Information: