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| Oxygen uptake response to switching stairs exercise by non-parametricmodeling |
| HairongYu1,ChenyuZhang2,KaiCao3,HamzahM.Alqudah3,StevenWeidongSu2,3 |
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| (1 Key Laboratory of Child Development and Learning Science of Ministry of Education and the School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, Jiangsu, China;2 College of Artificial Intelligence and Big Data for Medical Science, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China;3 Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia) |
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| 摘要: |
| Oxygen uptake plays a crucial role in the evaluation of endurance performance during exercise and is extensively utilized for
metabolic assessment. This study records the oxygen uptake during the exercise phase (i.e., ascending or descending) of the
stair exercise, utilizing an experimental dataset that includes ten participants and covers various exercise periods. Based on
the designed experiment protocol, a non-parametric modeling method with kernel-based regularization is generally applied
to estimate the oxygen uptake changes during the switching stairs exercise, which closely resembles daily life activities.
The modeling results indicate the effectiveness of the non-parametric modeling approach when compared to fixed-order
models in terms of accuracy, stability, and compatibility. The influence of exercise duration on estimated fitness reveals that
the model of the phase-oxygen uptake system is not time-invariant related to respiratory metabolism regulation and muscle
fatigue. Consequently, it allows us to study the humans’ conversion mechanism at different metabolic rates and facilitates the
standardization and development of exercise prescriptions. |
| 关键词: Non-parametric modeling · Interval stair training exercise · Kernel method · Cardiorespiratory response · Oxygen uptake |
| DOI：https://doi.org/10.1007/s11768-023-00188-1 |
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| 基金项目:This work was supported by the National Natural Science Foundation of China (No. 62103449), the Start-up Research Fund of Southeast University (RF1028623007), the Zhishan Youth Scholar Support Program of Southeast University (2242023R40044). This work was also supported in part by Academic Promotion Project of Shandong First Medical University. |
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| Oxygen uptake response to switching stairs exercise by non-parametricmodeling |
| Hairong Yu1,Chenyu Zhang2,Kai Cao3,Hamzah M. Alqudah3,Steven Weidong Su2,3 |
| (1 Key Laboratory of Child Development and Learning Science of Ministry of Education and the School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, Jiangsu, China;2 College of Artificial Intelligence and Big Data for Medical Science, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China;3 Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia) |
| Abstract: |
| Oxygen uptake plays a crucial role in the evaluation of endurance performance during exercise and is extensively utilized for
metabolic assessment. This study records the oxygen uptake during the exercise phase (i.e., ascending or descending) of the
stair exercise, utilizing an experimental dataset that includes ten participants and covers various exercise periods. Based on
the designed experiment protocol, a non-parametric modeling method with kernel-based regularization is generally applied
to estimate the oxygen uptake changes during the switching stairs exercise, which closely resembles daily life activities.
The modeling results indicate the effectiveness of the non-parametric modeling approach when compared to fixed-order
models in terms of accuracy, stability, and compatibility. The influence of exercise duration on estimated fitness reveals that
the model of the phase-oxygen uptake system is not time-invariant related to respiratory metabolism regulation and muscle
fatigue. Consequently, it allows us to study the humans’ conversion mechanism at different metabolic rates and facilitates the
standardization and development of exercise prescriptions. |
| Key words: Non-parametric modeling · Interval stair training exercise · Kernel method · Cardiorespiratory response · Oxygen uptake |
