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dc.contributor.authorG. Montgomery, Paulen_US
dc.contributor.authorJ. Green, Danielen_US
dc.contributor.authorEtxebarria, Naroaen_US
dc.contributor.authorB. Pyne, Daviden_US
dc.contributor.authorU. Saunders, Philoen_US
dc.contributor.authorMinahan, Clareen_US
dc.date.accessioned2017-05-03T11:42:51Z
dc.date.available2017-05-03T11:42:51Z
dc.date.issued2009en_US
dc.date.modified2010-05-21T06:36:09Z
dc.identifier.issn10648011en_US
dc.identifier.urihttp://hdl.handle.net/10072/29769
dc.description.abstractValidation of heart rate monitor-based predictions of oxygen uptake and energy expenditure. J Strength Cond Res 23(5): 1489-1495, 2009-To validate V?o2 and energy expenditure predictions by the Suunto heart rate (HR) system against a first principle gas analysis system, well-trained male (n = 10, age 29.8 ᠴ.3 years, V?o2 65.9 ᠹ.7 ml竧-1筩n-1) and female (n = 7, 25.6 ᠳ.6 years, 57.0 ᠴ.2 ml竧-1筩n-1) runners completed a 2-stage incremental running test to establish submaximal and maximal oxygen uptake values. Metabolic cart values were used as the criterion measure of V?o2 and energy expenditure (kJ) and compared with the predicted values from the Suunto software. The 3 levels of software analysis for the Suunto system were basic personal information (BI), BI + measured maximal HR (BIhr), and BIhr + measured V?o2 (BIhr + v). Comparisons were analyzed using linear regression to determine the standard error of the estimate (SEE). Eight subjects repeated the trial within 7 days to determine reliability (typical error [TE]). The SEEs for oxygen consumption via BI, BIhr, and BIhr + v were 2.6, 2.8, and 2.6 ml竧-1筩n-1, respectively, with corresponding percent coefficient of variation (%CV) of 6.0, 6.5, and 6.0. The bias compared with the criterion V?o2 decreased from -6.3 for BI, -2.5 for BIhr, to -0.9% for BIhr + v. The SEE of energy expenditure improved from BI (6.74 kJ) to BIhr (6.56) and BIhr + v (6.14) with corresponding %CV of 13.6, 12.2, and 12.7. The TE values for V?o2 were ~0.60 ml竧-1筩n-1 and ~2 kJ for energy expenditure. The %CV for V?o2 and energy expenditure was ~1 to 4%. Although reliable, basic HR-based estimations of V?o2 and energy expenditure from the Suunto system underestimated V?o2 and energy expenditure by ~6 and 13%, respectively. However, estimation can be improved when maximal HR and V?o2 values are added to the software analysis.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherLippincott Williams & Wilkinsen_US
dc.publisher.placeUnited Statesen_US
dc.publisher.urihttp://journals.lww.com/nsca-jscr/Abstract/2009/08000/Validation_of_Heart_Rate_Monitor_Based_Predictions.18.aspxen_US
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofpagefrom1489en_US
dc.relation.ispartofpageto1495en_US
dc.relation.ispartofissue5en_US
dc.relation.ispartofjournalJournal of Strength and Conditioning Researchen_US
dc.relation.ispartofvolume23en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchHuman Movement and Sports Science not elsewhere classifieden_US
dc.subject.fieldofresearchExercise Physiologyen_US
dc.subject.fieldofresearchcode110699en_US
dc.subject.fieldofresearchcode110602en_US
dc.titleValidation of heart rate monitor-based predictions of oxygen uptake and energy expenditureen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.date.issued2009
gro.hasfulltextNo Full Text


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