Show simple item record

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.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.publisherLippincott Williams & Wilkinsen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofjournalJournal of Strength and Conditioning Researchen_US
dc.subject.fieldofresearchHuman Movement and Sports Science not elsewhere classifieden_US
dc.subject.fieldofresearchExercise Physiologyen_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.hasfulltextNo Full Text

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record