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This study aimed to extract signature features of uvula wake flows of different pathological origins and develop a linear reduced\u2010order surrogate model for flow control. Six airway models were developed with two uvula kinematics and three pharynx constriction levels. A direct numerical simulation (DNS) flow solver based on the immersed boundary method was utilized to resolve the wake flows induced by the flapping uvula. Key spatial and temporal responses of the flow to uvula kinematics and pharynx constriction were investigated using continuous wavelet transform (CWT), proper orthogonal decomposition (POD), and dynamic mode decomposition (DMD). Results showed highly complex patterns in flow topologies. CWT analysis revealed multiscale correlations in both time and space between the flapping uvular and wake flows. POD analysis successfully separated the flows among the six models by projecting the datasets in the vector space spanned by the first three eigenmodes. Perceivable differences were also captured in the time evolution of the DMD modes among the six models. A linear reduced\u2010order surrogate model was constructed from the predominant eigenmodes obtained from the DMD analysis and predicted vortex patterns from this surrogate model agreed well with the corresponding DNS simulations. The computational and analytical platform presented in this study could bring a variety of applications in breathing\u2010related disorders and beyond. The computational efficiency of surrogate modeling makes it well suited for flow control, forecasting, and uncertainty analyses.<\/jats:p>","DOI":"10.1002\/cnm.3406","type":"journal-article","created":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T03:16:01Z","timestamp":1602990961000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Extracting signature responses from respiratory flows: Low\u2010dimensional analyses on <scp>Direct Numerical Simulation\u2010predicted<\/scp> wakes of a flapping uvula"],"prefix":"10.1002","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6423-0759","authenticated-orcid":false,"given":"Jinxiang","family":"Xi","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering University of Massachusetts  Lowell Massachusetts 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