Assembling more O-2 uptake responses: Is it possible to merely stack the repeated transitions?

作者：Francescato M P^*; Cettolo V; Bellio R

来源：Respiratory Physiology & Neurobiology, 2014, 200: 46-49.

DOI：10.1016/j.resp.2014.06.004

• Non-linear regression
• Accuracy
• Monte-Carlo simulation

Kinetic parameters for pulmonary O-2 uptake at exercise onset are estimated by non-linear regression on repeated responses assembled together. The native data contain the information, thus the "stacking" of the responses should provide correct values and uncertainties. Kinetic parameters and corresponding uncertainties (computed from the asymptotic standard errors; ASE) were estimated on 10(4) simulated noisy responses (with time constant tau = 25 s), repeated 10 times and assembled over an increasing number of repetitions (Nr) by "stacking" or ensemble averaging the responses processed to obtain 1 s bins ("1-s-bins"). Independent of the assembling method, the average estimated amounted to similar to 25.05 s. Independent of Nr, the "1-s-bins" and the "stacking" yielded an ASE/SD ratio for tau amounting to similar to 0.52 and similar to 0.98, respectively, resulting in a probability of including tau = 25 s within the estimated uncertainty from an individual kinetics amounting to similar to 70% and >94% for the "1-s-bins" and the "stacking", respectively. In conclusion, the "stacking" allowed obtaining, also for individual kinetics, coherent estimated parameters and associated uncertainties.

• 出版日期2014-8-15