Protein nutrition metabolism monitoring of basketball players based on intelligent biosensor

With the continuous development of biological detection technology and semiconductors, human health monitoring and intervention methods will advance rapidly at the molecular level. As the lowest level hardware technology, biosensors are developing towards micro precision, adaptation, and self-calibration in terms of technological development trends. In order to achieve good sports performance, athletes must have sufficient physical fitness as the basis for creating high-level sports performance. Protein nutrition is indispensable for athletes, so it is necessary to monitor its nutrition and supplement it in time. This paper proposed a monitoring method based on digital broadcasting system to monitor protein nutrition metabolism, so as to understand the protein metabolism of basketball players in real time, which was very meaningful to improve the physical function of athletes. The experimental results in this paper showed that the muscle mass, contraction speed, training effect and immunity of group A were 30, 37, 33 and 42 points, respectively. The muscle mass, contraction speed, training effect and immunity of group B were 65, 57, 62 and 55 points, respectively. It can be found that the muscle mass, contraction speed, training effect and immunity of group A are not as good as those of group B, indicating that protein can improve the physiological needs of athletes and improve the efficiency of training.