Identification And Agreement Of First Turn Point By Mathematical Analysis Applied To Heart Rate, Carbon Dioxide Output And Electromyography

dc.creatorZamuner A.R.
dc.creatorCatai A.M.
dc.creatorMartins L.E.B.
dc.creatorSakabe D.I.
dc.creatorDa Silva E.
dc.date2013
dc.date2015-06-25T19:18:39Z
dc.date2015-11-26T15:16:49Z
dc.date2015-06-25T19:18:39Z
dc.date2015-11-26T15:16:49Z
dc.date.accessioned2018-03-28T22:26:34Z
dc.date.available2018-03-28T22:26:34Z
dc.identifier
dc.identifierBrazilian Journal Of Physical Therapy. , v. 17, n. 6, p. 614 - 622, 2013.
dc.identifier14133555
dc.identifier10.1590/S1413-35552012005000129
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84890814297&partnerID=40&md5=d25a57cf1abb37007418de184e738315
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/89789
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/89789
dc.identifier2-s2.0-84890814297
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1259324
dc.descriptionBackground: The second heart rate (HR) turn point has been extensively studied, however there are few studies determining the first HR turn point. Also, the use of mathematical and statistical models for determining changes in dynamic characteristics of physiological variables during an incremental cardiopulmonary test has been suggested. Objectives: To determine the first turn point by analysis of HR, surface electromyography (sEMG), and carbon dioxide output (VCO2) using two mathematical models and to compare the results to those of the visual method. Method: Ten sedentary middle-aged men (53.9±3.2 years old) were submitted to cardiopulmonary exercise testing on an electromagnetic cycle ergometer until exhaustion. Ventilatory variables, HR, and sEMG of the vastus lateralis were obtained in real time. Three methods were used to determine the first turn point: 1) visual analysis based on loss of parallelism between VCO2 and oxygen uptake (VO2); 2) the linear-linear model, based on fitting the curves to the set of VCO2 data (Lin-LinVCO2); 3) a bi-segmental linear regression of Hinkley's algorithm applied to HR (HMM-HR), VCO2 (HMM-VCO2), and sEMG data (HMM-RMS). Results: There were no differences between workload, HR, and ventilatory variable values at the first ventilatory turn point as determined by the five studied parameters (p>0.05). The Bland-Altman plot showed an even distribution of the visual analysis method with Lin-LinVCO2, HMM-HR, HMM-VCO2, and HMM-RMS. Conclusion: The proposed mathematical models were effective in determining the first turn point since they detected the linear pattern change and the deflection point of VCO2, HR responses, and sEMG.
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dc.languageen
dc.publisher
dc.relationBrazilian Journal of Physical Therapy
dc.rightsaberto
dc.sourceScopus
dc.titleIdentification And Agreement Of First Turn Point By Mathematical Analysis Applied To Heart Rate, Carbon Dioxide Output And Electromyography
dc.typeArtículos de revistas


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