The principles used for DynasynQ non-invasive glucose measurement are near-infrared spectroscopy absorption combined with dynamic metabolic heat models and AI algorithms. Health data is obtained from the watch’s sensors and uploaded to the AI platform for establishing a personalized model, and glucose concentration is calculated using multiple algorithms. Near-infrared light in a specific wavelength band is correlated with glucose. Multiple sets of different wavelength bands of near-infrared light are used to detect capillaries in the fingers and collect glucose-related information to calculate glucose values.

If the health data inputted during the establishment of a personalized model are incorrect, the model will deviate from the actual situation and affect the measurement results.

Click on the "Record Invasive Value" at the bottom of the result page after glucose measurement on the watch and enter the invasive glucose value at that time to optimize the model.

During calibration, it is necessary to maintain consistent medication habits with daily life, and follow the time and dosage of insulin injection or hypoglycemic drugs. If insulin is injected after calibration instead of during calibration, it will lead to deviation in the personalized data model.

DynasynQ non-invasive glucose monitoring watch uses near-infrared spectroscopy absorption combined with dynamic metabolic heat models. Since everyone's fingertip skin color, keratin layer thickness, and metabolic base are different, invasive glucose values are required to establish a personalized data model based on optical signals, and reduce the impact of differences in personal physique through signal processing and artificial intelligence algorithms, to make non-invasive glucose detection results closer to the actual situation.

Even if you skip breakfast, follow the instructions on the app and do the calibration before breakfast when you wake up in the morning on an empty stomach. Then click “Do the calibration” one hour later. You can skip meals during this period.

Having afternoon tea or any extra meal during glucose calibration will cause deviation in the personalized data model. It is recommended to maintain daily dietary habits during calibration to ensure that the model is closer to the actual situation. If you add an extra meal during normal measurement after calibration, you need to choose the time of the most recent meal as the meal time.

Please note that the data measured by this product cannot be used for medical diagnosis or medication guidance. The data is only used for glucose management in daily life, including diet and exercise.

The main measurement principle of the watch is based on the optical sensors on the watch to collect optical signals related to glucose and other body parameters. After processing the signals using AI algorithms, non-invasive glucose values are calculated based on the user's personal body data model.

One of the principles of DynasynQ non-invasive glucose measurement is based on metabolic heat integration. After a meal, the body enters a state of rapid metabolism, and the absorption of food produces heat and changes glucose levels. Therefore, the meal time is a very important calculation parameter during measurement. Choosing the correct meal time can ensure correct data calculation.

It is recommended to use the diet recording function on our app to record your meal time, portion, and food type consumed.