AI RESEARCH

Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis

arXiv CS.LG

ArXi:2604.22695v1 Announce Type: cross Respiratory airflow signals provide critical insight into breathing mechanics, yet conventional analysis methods remain limited in their ability to characterize the internal structure of individual breaths. Traditional approaches treat airflow as a quasi-periodic signal and rely on global descriptors such as tidal volume or peak flow, obscuring sub-breath events that reflect neuromuscular coordination and compensatory breathing strategies. This study