(P611) Multispectral Imaging Device for Non-Invasive Glucose Monitoring

This poster describes a project related to a low-cost portable multispectral detection method and device for early disease diagnosis, with a specific focus on diabetes. The device is based on a CMOS multispectral image chip and uses natural light to non-invasively detect physiological parameters related to glucose metabolism and diabetes from the eyes or skin of patients. The device captures reflected light data of different wavelengths using the multispectral chip and processes the data to generate image information, subsequently identifying the corresponding test areas. By processing the initial spectral information, the device provides accurate spectral data analysis to determine glucose-related parameters, enabling early diagnosis and management of diabetes. It features real-time data analysis and wireless data transmission, offering a convenient solution for large-scale diabetes monitoring, glucose trend tracking, and telemedicine-based diabetes care.