2 results about "Urine glucose" patented technology

This invention relates to the field of urine glucose monitoring technology, and more particularly to a method and system for monitoring urine glucose data from adult diapers. The method first interacts with a nursing management system to obtain daily care milestones for the patient, and connects to a wearable terminal to generate a visual monitoring interface. Secondly, at preset milestones, multiple sensors integrated into the inner layer of the diaper collect data, combining health parameters to identify abnormalities and predict the level of blood glucose abnormalities. Subsequently, based on historical data from multiple milestones, a blood glucose fluctuation trend curve is generated on the interface. Finally, a personalized intervention plan is formulated based on the abnormality level and the trend curve, implementing targeted nursing care. This invention achieves non-invasive continuous monitoring through multi-source signal fusion to combat interference; it possesses the ability to predict blood glucose trends, transforming passive alarms into proactive prevention; and through a visual interface and intelligent decision-making closed loop, it significantly improves the accuracy, efficiency, and comfort of nursing care for diabetic patients.

This invention discloses a vision-based smart toilet urine detection method, comprising the following steps: S1, detection preparation; S2, image acquisition; S3, image preprocessing; S4, feature extraction and quantification; S5, detection analysis; S6, result feedback and data storage. Urine detection is completed through image acquisition and analysis, eliminating the need for contact consumables such as chemical sensors and test strips. Furthermore, the consumable-free design eliminates the burden of periodically purchasing and replacing consumables for users. By employing a multispectral camera combined with a multi-angle deployment method, visible light and near-infrared images of urine are simultaneously acquired. This not only extracts static appearance features such as color and transparency but also captures dynamic features such as foam dissipation and sediment settling through time-stamped dynamic image sequences. The collaborative analysis of static and dynamic features enables simultaneous detection of multiple key health indicators, including urine pH, urine protein, urine glucose, and sediment.