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Mathematical Modeling and Expression of Heart Rate Deflection Point using Heart Rate and Oxygen Consumption.

Authors :
BAKER, KAYLA M.
FUKUDA, DAVID H.
CHURCH, DAVID D.
LA MONICA, MICHAEL B.
BEYER, KYLE S.
HOFFMAN, JAY R.
STOUT, JEFFREY R.
Source :
International Journal of Exercise Science; 2017, Vol. 10 Issue 4, p592-603, 12p, 6 Graphs
Publication Year :
2017

Abstract

Heart rate deflection point (HRDP) can be determined through different mathematical-modeling procedures, such as bi-segmental linear regression (2SEG) or maximal distance model (D<subscript>max</subscript>). The purpose was to compare heart rate (HR) and oxygen consumption (VO<subscript>2</subscript>) at HRDP when using 2SEG and Dmax, and to examine their relationships with respiratory compensation point (RCP) and running performance. Nineteen participants completed a graded exercise test (GXT), to determine HRDP and RCP, and a 5km treadmill time trial (5K<subscript>time</subscript>). No differences were found in HR or VO<subscript>2</subscript> when comparing HRDP<subscript>2SEG</subscript>, HRDP<subscript>Dmax</subscript>, and RCP. Strong correlations were found between HRDP2SEG, HRDPDmax, and RCP when using HR and VO<subscript>2</subscript>. No relationships were found between 5K<subscript>time</subscript> and HR at HRDP or RCP; however, strong relationships were found with VO<subscript>2</subscript>. While 2SEG and Dmax may be interchangeable in determining HRDP, VO<subscript>2</subscript> at HRDP and RCP yielded stronger relationships to 5K<subscript>time</subscript> than HR. Therefore, VO<subscript>2</subscript> at HRDP may be a better predictor of running performance than HR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1939795X
Volume :
10
Issue :
4
Database :
Supplemental Index
Journal :
International Journal of Exercise Science
Publication Type :
Academic Journal
Accession number :
123001736
Full Text :
https://doi.org/10.70252/jcnx1690