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Evaluating the application of using biological pulse sensor in aerobics

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Abstract

The application of information technology has realized the transformation of production methods and people’s lifestyles and supported sports development, which is becoming more and more powerful in sports. Because of technological developments, personal endurance athletes, sports teams, and physicians can now track lifting tasks, the volume of work, and biomarkers to maximize efficiency and minimize injuries. Therefore, this paper used its advanced methods and information display technology to optimize aerobics in the presence of artificial intelligence and promote the ecological development of sports. In addition, this research work also took the elective course of aerobics major of Liaoning Normal University in 2019 as an example and adopted bio-pulse sensors as a new teaching method. Besides, this paper used questionnaires, teaching experiments, etc., combined with other course teaching practices and aerobics-related teaching experiments, and evaluated the teaching effect according to the measurement indicators. The experimental results have shown a significant difference in the students’ learning attitude in the experimental group and the control group using the bio-pulse sensor. The P values, i.e., the probability values for obtaining the results, were 0.047 and 0.048, all of which were less than 0.05, so they were considered statistically significant. Using bio-pulse sensors to select aerobics courses will give full play to the richness of teaching content and novel teaching methods, which will help stimulate students’ interest in learning, stimulate students’ enthusiasm for learning, and improve teaching quality.

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References

  1. Ding, S. (2019). Research on the reform and development of aerobics teaching in colleges and universities. Journal of Changzhi University, 36(2), 80–81.

    Google Scholar 

  2. Feng, T. (2020). Research on image-based movement accuracy monitoring of aerobics. Mathematical Problems in Engineering, 10, 6.

    Google Scholar 

  3. Ma, Y. (2019). Cultivation of the ability of creating and arranging aerobics in physical education majors. World Scientific Research Journal, 5(9), 88–93.

    Google Scholar 

  4. Sims, A. D. (2020). Deep breaths and high impact aerobics: Reflecting on teaching writing in the key of Katie Geneva cannon. The Wabash Center Journal on Teaching, 1(1), 101–105.

    Article  Google Scholar 

  5. Zuzda, J. G., Sillero-Quintana, M., Dziura, J., Latosiewicz, R., & Rosenberg, E. (2020). Long term effect of step aerobics training on skin temperature. A pilot study. Progress in Health Sciences, 10(2), 65–73.

    Article  Google Scholar 

  6. Chuprun, N., & Yurchenko, I. (2020). Optimization of movement activity and the mental state of students by dance aerobics. Sport i Turystyka Środkowoeuropejskie Czasopismo Naukowe, 3(1), 121–131.

    Article  Google Scholar 

  7. Dan, M., & Yi, H. (2018). Research on college aerobics education methods and teaching innovation from the perspective of cooperative governance. International Journal for Engineering Modelling, 31(1), 207–214.

    Google Scholar 

  8. Deng, L., & Bi, Z. (2018). Analysis of difficulty movement evolution of competitive aerobics based on digital image processing. IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association, 30(6), 250–255.

    Google Scholar 

  9. Li, X. (2017). Study on the influence of network multimedia on college aerobics and its countermeasures. Boletin Tecnico/Technical Bulletin, 55(4), 243–251.

    Google Scholar 

  10. Feng, D. (2017). Research on the cultivation of students comprehensive ability in aerobics teaching based on network big data platform. Revista de la Facultad de Ingenieria, 32(9), 310–316.

    Google Scholar 

  11. Zhang, H. (2017). Hadoop education platform application for aerobics teacher training: A big data analysis. Boletin Tecnico/Technical Bulletin, 55(6), 145–153.

    Google Scholar 

  12. Zhang, L. X., & Qin, D. (2019). Research on the influencing factor system of teachers’ adoption of new technology from the perspective of TAM and TTF integration. Journal of Distance Education, 37(4), 106–112.

    Google Scholar 

  13. Peng, Y. Q. (2016). Study on the educational ecological environment of universities and colleges in aerobics teaching. Journal of Xiangnan University, 37(5), 86–92.

    Google Scholar 

  14. Zhao, J., & Yu, L. (2017). The construction and analysis of aerobics teacher’s teaching ability evaluation model. Revista de la Facultad de Ingenieria, 32(14), 79–83.

    Google Scholar 

  15. Jiang, J. Y. (2016). Innovative ecological environment and the path design for aerobics teaching at colleges and universities. Journal of Zhenjiang College, 29(4), 114–116.

    Google Scholar 

  16. Zheng, H., & Zhang, P. (2020). The imbalance and reconstruction of sports ecological classroom. Sichuan Sports Science, 39(4), 133–136.

    Google Scholar 

  17. Zhang, Z. Y., & Zhan, B. Y. (2020). On the strategy to the construction of college PE classroom viewing from the perspective of educational ecology. Sport Science and Technology, 41(4), 111–112.

    MathSciNet  Google Scholar 

  18. Liu, H., Liu, M., Li, D., Zheng, W., Yin, L., & Wang, R. (2022). Recent advances in pulse-coupled neural networks with applications in image processing. Electronics. https://doi.org/10.3390/electronics11203264

    Article  Google Scholar 

  19. Chen, H., Xiong, Y., Li, S., Song, Z., Hu, Z., & Liu, F. (2022). Multi-sensor data driven with PARAFAC-IPSO-PNN for identification of mechanical nonstationary multi-fault mode. Machines, 10(2), 155. https://doi.org/10.3390/machines10020155

    Article  Google Scholar 

  20. Jiang, X. Q., et al. (2021). Highly responsive biosensors based on organic field-effect transistors under light irradiation. Chinese Chemical Letters, 32(11), 3364–3367.

    Article  Google Scholar 

  21. Zhang, B. Y., Zheng, A. J., & Fu, Q. (2020). Calibration method research on difference charge amplifier used in vibration transducer. Equipment for Electronic Products Manufacturing, 49(6), 46–51.

    Google Scholar 

  22. Liu, Y., & Zeng, J. H. (2021). Research on uncertainty evaluation technology of charge amplifier. Electronic Design Engineering, 29(13), 29–33.

    Google Scholar 

  23. Pellitero, M. A., Curtis, S. D., & Arroyo-Curras, N. (2021). Interrogation of electrochemical aptamer-based sensors via peak-to-peak separation in cyclic voltammetry improves the temporal stability and batch-to-batch variability in biological fluids. ACS Sensors, 6(3), 1199–1207.

    Article  Google Scholar 

  24. Hong, Y., Yao, M., & Wang, L. (2023). A multi-axial bounding surface p-y model with application in analyzing pile responses under multi-directional lateral cycling. Computers and Geotechnics, 157, 105301. https://doi.org/10.1016/j.compgeo.2023.105301

    Article  Google Scholar 

  25. Wang, H., et al. (2021). Metal-organic framework as a multi-component sensor for detection of Fe3+, ascorbic acid and acid phosphatase. Chinese Chemical Letters, 32(1), 198–202.

    Article  Google Scholar 

  26. Feng, B., et al. (2021). Monitoring intracellular pH fluctuation with an excited-state intramolecular proton transfer-based ratiometric fluorescent sensor. Chinese Chemical Letters, 32(10), 3057–3060.

    Article  Google Scholar 

  27. Zhang, W. X., et al. (2022). Rational design of a novel two-dimensional porous metal-organic framework material for efficient benzene sensor. Chinese Chemical Letters, 33(8), 3726–3732.

    Article  Google Scholar 

  28. Wang, Q., et al. (2021). Recent advances in electrochemical sensors for antibiotics and their applications. Chinese Chemical Letters, 32(2), 609–619.

    Article  Google Scholar 

  29. Yi, C. M., Yu, H. D., & Wang, H. (2019). Dynamic behavior of coupled flexible plate structure with piezoelectric actuator via absolute nodal coordinate formulation. Journal of Shanghai Jiaotong University, 53(6), 665–672.

    Google Scholar 

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Funding

This work was supported by the Liaoning Association for Science and Technology (No. 2022LTXH117); the Dalian academy of Social Sciences (No. 2022dlsky054); the Ministry of Education’s Industry School Cooperation Collaborative Education Project (No. 202102283016, 22097066164010).

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Conceptualization, LS and MX; methodology, YG; software, YG; validation, YG; formal analysis, HK; data curation, LS; writing—original draft preparation, YG and LS; writing—review and editing, LS; supervision, YG. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Yilun Gao.

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Sun, L., Xu, M., Gao, Y. et al. Evaluating the application of using biological pulse sensor in aerobics. Wireless Netw 29, 3567–3582 (2023). https://doi.org/10.1007/s11276-023-03428-z

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