Based on the integration of big data such as clinic, IoT terminals, and public health, the laboratory has established a health big data application platform with IoT. The platform has established the analysis and prediction of chronic diseases, maternal and child health data.

This project is anational key R&D project. The technology mainly used is multi-source data collaborative perception, including: ① adaptive composite filter based on software and hardware collaborative filtering; ② biometric feature point extraction method based on dynamic threshold; ③ simplifying calculation, suppressing dynamic noise interference, and ensuring data accuracy. Related results have been published in journals and conferences such asIEEE TII and IOTJ.

We authorized the patent to ZTE, which has been well applied in the management of blood pressure and blood sugar, and the analysis and management of fetal heart rate monitoring data, and has saved the lives of fetuses for many times. This achievement wonthe champion of the National Maker Competition, the first prize of the 9th Wu Wenjun Artificial Intelligence Technology Progress Award, and the second prize of Guangdong Science and Technology Progress Award.