To explore the biomedical signal acquisition of sports fatigue, the Pclab-UE biomedical signal acquisition and processing system is used to collect and process heart rate variability (HRV) automatically after quiet and fatigue exercise. In the meanwhile, the experimental data are analyzed. The heart rate variability of the subjects is recorded, aiming to provide experimental evidence for the future application of HRV in the diagnosis of exercise fatigue. Moreover, it also provides a noninvasive diagnostic index for exercise fatigue and exercise training practice. The research results showed that, the HRV values in the sub-maximal exercise caused fatigue. The maximal exercise induced fatigue is significantly decreased and there are significant differences. As a result, it is summed up that we can use HRV as a quantitative analysis index for the diagnosis of sports fatigue.

The low-degree variable nodes and high residual errors of Belief Propagation (BP) decoding are key factors of high error floor of LT Codes over noise channels. A joint encoding and decoding scheme are proposed to lower this error floor. The Regularized Variable-Node (RVN) encoding method is adopted to maximize the minimum degree and avoid the lowdegree variable node. By investigating the characteristic of error patterns in error frames and the relationship between error bits and their Log-likelihood Ratio (LLR) values, the most unreliable bits are identified after BP decoding. Thanks to the Cyclic Redundancy Check (CRC) detector, the residual error bits of BP decoder are identified and corrected by bit flip. The simulation results demonstrate that the proposed method can dramatically reduce the frame error rate in the error floor region at the cost of almost negligible extra computation.

Objectives: With the rapid development of computer technology and network technology, school teaching and management also need to keep pace with the development of the times, and information construction is needed in teaching and management. In the process of campus informationization construction, it is required that all links can be developed in a balanced way, and the school should be built into a scientific platform of information education and teaching from both hardware and software aspects. Methods: Sports achievement management system is based on reducing the workload of physical education teachers, improving teaching efficiency, optimizing the process of students’ class selection, enhancing the identification of students taking part in examinations, saving manpower, financial resources and time compared with the traditional registration model. Results: The ant colony optimization algorithm has achieved encouraging results in solving the combinatorial optimization problem that the traditional optimization method is difficult to work. Therefore, using this algorithm to optimize the simulation analysis of the physical education curriculum management system has better matching characteristics. Conclusion: The system has the characteristics of friendly man-machine interface, easy operation, strong compatibility, fast running speed, etc. It has rich reports and powerful query statistics.