A Systematically Statistical Analysis of Effects of Chinese Traditional Setting-up Exercise on Healthy Undergraduate Students

  • Tiangang Li
  • Yongming Li
  • Xiaohong Gu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)


Objective: To investigate the effects of Chinese Traditional Setting-up Exercise on Blood Glucose, Heart rate and vital capacity of healthy undergraduate. Methods: 200 undergraduate volunteers were selected according to the diagnostic standards and inclusion criteria. They were randomly and equally allocated into the two groups. The case group practiced the Chinese Traditional Setting-up Exercise and the control group practiced the 8th Broadcast Gymnastic Exercise, three times a week and last for 4 weeks. The three biological indexes were measured half an hour before and after the exercise. From t test (single variable), correlation (two variables) to multi-variables, such as Principal component analysis, Heat map and Random forest, we presented a systematical methods to understand the data. Results: There were significant differences before and after the exercise in both two groups. Chinese Traditional Setting-up Exercise performed better than the 8th Broadcast Gymnastic Exercise in reducing BG, balancing HR and enlarging VC. They are interacted with each other to separate control group from case group with a accuracy of nearly 80 %. The most important is BG, the less important is HR and VC is with least importance. Conclusion: Systematically statistical methods could discover inside rules behind the data. It is found that “Chinese Traditional Setting-up Exercise” performed better than “8th Broadcast Gymnastic Exercise” in reducing BG, balancing HR and enlarging VC of undergraduate students, so the “Chinese Traditional Setting-up Exercise” was suitable for popularizing among universities.


Chinese Traditional Setting-up Exercise Blood glucose  Heart rate Vital capacity Systematic methods 


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Beijing University of Chinese MedicineBeijingChina

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