2H2) and helium (He) were acquired at 100 Hz using custom data acquisition software. Data files were saved to disk for later analysis. CardOut data were analyzed using the technique described and validated previously (9). Because calculated CardOut is critically dependent on correct time alignment of gas flow and gas concentration signals, we optimized the time delay by comparing calculated inspired dead space (mass balance of He gas) with known dead space of the breathing valve. This time-delay parameter was relatively constant (±4 ms) among subjects. At each stage of exercise, the arterial to mixed venous O2 content difference, or O2 extraction, was calculated from O2 extraction = V? o 2 (ml/min)/CardOut (l/min)/10.
Mathematical investigation.
Data for exercise intensity, heart rate (HR), V? o 2, V? co 2, CardOut, respiratory exchange ratio (RER = V? co 2/V? o 2, where V? co 2 is CO2 production), respiratory rate, minute ventilation, and tidal volume were tabulated for each exercise intensity by subject. The CardOut vs. V? o 2, HR vs. V? o 2, and SV vs. V? o 2 relationships were represented in each subject by fitting the quadratic relationship y = a + b·V? o 2 + c·(V? o 2) 2 using multiple regression and collecting the three parameter estimates as well as the associated t statistics and P values. Subjects were then separated into two groups, those with a statistically significant (P < 0.05) c < 0 for the CardOut vs. V? o 2 relationship (“negative curvature group”; n = 25) and those with https://www.datingranking.net/habbo-review either nonsignificant or significantly positive value for c (“nonnegative curvature group”; n = 47). Only two subjects had a statistically significant c > 0. Differences in all parameters between these two groups were tested using the Wilcoxon's rank sum test.
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