Edwards, A.M., Challis, N.V., Chapman, J.H., Claxton, D.B., and Fysh, M.L. (2001) Time domain analysis of oxygen uptake kinetics in elite runners by pseudo random binary sequence (PRBS) exercise. In: Medicine and Science in Sport and Exercise (33) 118. S21-S21. From: 48th Annual Meeting American College of Sports Medicine, May 30-June 2, 2001, Baltimore, USA.

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Abstract

Oxygen uptake kinetics assessed in the frequency domain are known to be differentially faster in elite endurance runners than in elite sprinters. Breath-by-breath data from PRBS testing have routinely been analysed by application of Fourier methods, however, it is possible to analyse the data in the time domain in the form of a Total Lag Time (TLT). In this study, correlational techniques were applied to yield an output response to a work rate input. An autocorrelation function was performed on the input work rate (WR) and a cross correlation function was performed on input (WR) and output (vO₂). The cross correlation function was analysed by fitting a linear summation of the ramp form of a two-component exponential function to a triangular pulse. Twelve elite male sprinters and 12 elite male endurance runners completed 3 identical PRBS cycles of 300 s with 20 s work rate changes between 25 and 85 W on an electrically braked cycle ergometer at a pedal cadence of 1 Hz. Oxygen uptake was measured on a breath-by-breath basis using a respiratory mass spectrometer. Statistical analysis using the analysis of variance revealed significantly faster oxygen uptake kinetics (TLT) in the elite endurance runners compared with the elite sprinters (33.3 s 3.39SD and 39.91 s 7.14SD respectively) (p < 0.01). The results of this study show that time domain analysis represents a possible alternative to frequency analysis in the study of oxygen uptake kinetics described by PRBS exercise.

Item ID:	22946
Item Type:	Conference Item (Research - E1)
ISSN:	1530-0315
Date Deposited:	30 Aug 2012 04:11
FoR Codes:	11 MEDICAL AND HEALTH SCIENCES > 1106 Human Movement and Sports Science > 110602 Exercise Physiology @ 100%
SEO Codes:	92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%
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