Nonparametric dynamical model of cardiorespiratory responses at the onset and offset of treadmill exercises.
This paper applies a nonparametric modelling method with kernel-based regularization to estimate the carbon dioxide production during jogging exercises. The kernel selection and regularization strategies have been discussed; several commonly used kernels are compared regarding the goodness-of-fit, s...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 12; pp. 2337 - 2352 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133056268&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133056268 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2018 vid: 56 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133056268 133056268 NLM29956216 10.1007/s11517-018-1860-x NLM29956216 133056268 ppf: 2337 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Nonparametric dynamical model of cardiorespiratory responses at the onset and offset of treadmill exercises. aug: au: Yu, Hairong Ye, Lin Naik, Ganesh R. Song, Rong Nguyen, Hung T. Su, Steven W. affil: School of Biomedical Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, 2007, Sydney, NSW, Australia sug: subj: Models, Biological Exercise Test Male Adult Oxygen Consumption Kinematics Computer Simulation Carbon Dioxide Metabolism Clinical Assessment Tools Exercise of Self-Care Agency Scale Adult: 19-44 years Male ab: This paper applies a nonparametric modelling method with kernel-based regularization to estimate the carbon dioxide production during jogging exercises. The kernel selection and regularization strategies have been discussed; several commonly used kernels are compared regarding the goodness-of-fit, sensitivity, and stability. Based on that, the most appropriate kernel is then selected for the construction of the regularization term. Both the onset and offset of the jogging exercises are investigated. We compare the identified nonparametric models, which include both impulse response models and step response models for the two periods, as well as the relationship between oxygen consumption and carbon dioxide production. The result statistically indicates that the steady-state gain of the carbon dioxide production in the onset of exercise is bigger than that in the offset while the response time of both onset and offset are similar. Compared with oxygen consumption, the response speed of carbon dioxide production is slightly slower in both onset and offset period while its steady-state gains are similar for both periods. The effectiveness of the kernel-based method for the dynamic modelling of cardiorespiratory response to exercise is also well demonstrated. Graphical Abstract Comparison between VO2 and VCO2 during onset and offset of exercise. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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