Starting from electrocardiography, this system integrates unique sensors with a large database to measure various physiological indices, such as blood sugar, glycated hemoglobin, blood pressure, heart rate, etc. Among these, the non-invasive (non-destructive) blood sugar measurement method is particularly notable for its innovative and leading technology. It effectively helps users enhance their health management outcomes, offering a sustainable, highly accurate, and low-burden optimal health management solution.
Non-Invasive Glucose Monitoring Technology
The principle of non-invasive blood glucose technology is based on the fact that the blood glucose of healthy people rises after eating, thus speeding up the heart rate. By combining the blood glucose concentration with the effect of the glucose utilization of myocardial cells on the heart, different blood glucose conditions can be further deduced by heart rate variability (HRV) and electrocardiogram.
Therefore, physiological parameters such as blood glucose, glycosylated hemoglobin, blood pressure and heart rate can be calculated through AI technology. When the sensor receives the ECG signal, it will send this signal to artificial intelligence machine learning for calculation. With the addition of Revlis’ vast database of records, machine learning will continue to progress, presenting a personalized and interactive technology application.