Design and Verification of a Human Energy Metabolism Detection System Based on Breath-by-Breath Method

Objective To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach.

Methods Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption Q_\mathrmO_2 and carbon dioxide production Q_\mathrmCO_2 were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2.

Results The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC.

Conclusion The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.