Publicação: Anaerobic threshold estimation by statistical modelling.
dc.contributor.author | Soler, A. M. | |
dc.contributor.author | Folledo, M. | |
dc.contributor.author | Martins, L. E. | |
dc.contributor.author | Lima-Filho, E. C. | |
dc.contributor.author | Gallo Júnior, L. | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-27T07:29:51Z | |
dc.date.available | 2014-05-27T07:29:51Z | |
dc.date.issued | 1989-12-01 | |
dc.description.abstract | Anaerobic threshold (AT) is usually estimated as a change point problem by visual analysis of the cardiorespiratory response to incremental dynamic exercise. In this study, two phase linear (TPL) models of the linear-linear and linear-quadratic type were used for the estimation of AT. The correlation coefficient between the classical and statistical approaches was 0.88, and 0.89 after outlier exclusion. The TPL models provide a simple method for estimating AT that can be easily implemented using a digital computer for the automatic pattern recognition of AT. | en |
dc.format.extent | 795-797 | |
dc.identifier.citation | Brazilian Journal of Medical and Biological Research, v. 22, n. 6, p. 795-797, 1989. | |
dc.identifier.issn | 0100-879X | |
dc.identifier.scopus | 2-s2.0-0024808909 | |
dc.identifier.uri | http://hdl.handle.net/11449/63949 | |
dc.language.iso | eng | |
dc.relation.ispartof | Brazilian Journal of Medical and Biological Research | |
dc.relation.ispartofjcr | 1.492 | |
dc.rights.accessRights | Acesso restrito | |
dc.source | Scopus | |
dc.subject | anaerobic threshold | |
dc.subject | breathing | |
dc.subject | exercise test | |
dc.subject | heart rate | |
dc.subject | human | |
dc.subject | physiology | |
dc.subject | regression analysis | |
dc.subject | Anaerobic Threshold | |
dc.subject | Exercise Test | |
dc.subject | Heart Rate | |
dc.subject | Human | |
dc.subject | Regression Analysis | |
dc.subject | Respiration | |
dc.subject | Support, Non-U.S. Gov't | |
dc.title | Anaerobic threshold estimation by statistical modelling. | en |
dc.type | Artigo | |
dcterms.license | http://www.scielo.br/revistas/bjmbr/iaboutj.htm#Copyright | |
dspace.entity.type | Publication |