Behavioral Analysis of Turbulent Exhale Flows

Shane Transue1, Sayed Mohsin Reza, Ann Halbower, Min-Hyung Choi

  • 1University of Colorado Denver

Details

Category

Contributed Paper (Oral)

Theme

Imaging Informatics

Sessions

11:20 - 12:50 | Mon 5 Mar | Treasure Island ABC | MoBT1

BHI Session # 2 – Intelligent Sensing and Imaging Informatics

Abstract

Dense exhale flow through CO2 spectral imaging introduces a pivotal trajectory within non-contact respiratory analysis that consolidates several pulmonary evaluations into a single coherent monitoring process. Due to technical limitations and the limited exploration of respiratory analysis through this non-contact technique, this method has not been fully utilized to extract high-level respiratory behaviors through turbulent exhale analysis. In this work, we present a structural foundation for respiratory analysis of turbulent exhale flows through the visualization of dense CO2 density distributions using precisely refined thermal imaging device to target high-resolution respiratory modeling. We achieve spatial and temporal high-resolution flow reconstructions through the cooperative development of a thermal camera dedicated to respiratory analysis to drastically improve the precision of current exhale imaging methods. We then model turbulent exhale behaviors using a heuristic volumetric flow reconstruction process to generate sparse flow exhale models. Together these contributions allow us to target the acquisition of numerous respiratory behaviors including, breathing rate, exhale strength and capacity, towards insights into lung functionality and tidal volume estimation.

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