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คณะวิศวกรรมศาสตร์
This research aims to develop a portable prototype device for non-invasive blood glucose and vital sign monitoring, integrating Near-Infrared Spectroscopy (NIR) with biosensor systems and Artificial Intelligence (AI)-based data analysis. The device addresses the limitations of conventional blood-drawing methods that are impractical for elderly patients and those in remote areas. Designed to be user-friendly, low-cost, and capable of real-time result display, the device is intended for use in community-based healthcare settings such as local clinics and sub-district health promotion hospitals, with strong potential for future commercial development.
วิทยาลัยการจัดการนวัตกรรมและอุตสาหกรรม
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คณะวิศวกรรมศาสตร์
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