Key result
Modeling breathing with a non-sinusoidal approach demonstrates that classical sinusoidal models can produce errors ranging from -41% to 314% when estimating the work of breathing.
Why the study?
Imprecise assumptions that breathing is a continuous sinusoidal wave composed of a stationary time-invariant process continue to propagate into quantitative analysis, limiting characterization and modeling of breathing dynamics and critical respiratory states.
Current sinusoidal models of breathing dynamics fail to capture the complex, non-periodic nature of real-time airflow, leading to inaccurate estimations of the work of breathing.
Alerts clinicians to potential inaccuracies in traditional breathing models; leaves open need for updated dynamics frameworks.
The characterization of breathing dynamics provides researchers and clinicians the ability to differentiate respiratory compensation, impairment, disease progression, ventilator assistance, and the onset of respiratory failure. However, within many sub-fields of respiratory physiology, we still have challenges identifying changes within the breathing dynamics and critical respiratory states. We discuss one fundamental modeling of breathing and how modeling imprecise assumptions decades ago regarding breathing are still propagating into our quantitative analysis today, limiting our characterization and modeling of breathing. The assumption that breathing is a continuous sinusoidal wave that can consist of a single frequency which is composed of a stationary time-invariant process has limited our expanded discussion of breathing dynamics, modeling, functional testings, and metrics. Therefore, we address major misnomers regarding breathing dynamics, specifically rate, rhythm, frequency, and period. We demonstrate how these misnomers impact the characterization and modeling through the force equations that are linked to the Work of Breathing (WoB) and our interpretation of breathing dynamics through the fundamental models and create possible erroneous evaluations of work of breathing. This discussion and simplified non-periodic WoB models ultimately sets the foundation for improved quantitative approaches needed to further our understanding of breathing dynamics, compensation, and adaptation.
No takes yet. Share an insight, caveat, or question.
Napoli et al. (2022) studied Breathing dynamics. Non-sinusoidal breathing model vs. Classical sinusoidal model was evaluated on Work of Breathing (WoB) estimation error. Modeling breathing with a non-sinusoidal approach demonstrates that classical sinusoidal models can produce errors ranging from -41% to 314% when estimating the work of breathing.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: