Non-contact breathing activity monitoring and analyzing through thermal and CO2 imaging
AssigneeThe Regents of the University of Colorado
InventorsMin-Hyung Choi, Shane Transue, Ann Halbower
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AssigneeThe Regents of the University of Colorado
InventorsMin-Hyung Choi, Shane Transue, Ann Halbower
Estimating the term…
Various embodiments of the disclosed technology present a structural foundation for volumetric flow reconstructions for expiratory modeling enabled through multi-modal imaging for pulmonology. In some embodiments, this integrated multi-modal system includes infrared (IR) imaging, thermal imaging of carbon dioxide (CO2), depth imaging (D), and visible spectrum imaging. These multiple image modalities can be integrated into flow models of exhale behaviors enable the creation of three-dimensional volume reconstructions based on visualized CO2 distributions over time, formulating a four-dimensional exhale model which can be used to estimate various pulmonological traits (e.g., breathing rate, flow rate, exhale velocity, nose/mouth distribution, tidal volume estimation, and CO2 density distributions). Various embodiments also enable the accurate acquisition of numerous pulmonary metrics that are then stored within distributed systems for respiratory data analytics and feature extraction through deep learning embodiments.
A system for exhale gas imaging comprising:
A method for analyzing pulmonological function, the method comprising, by a computing device:
A system comprising:
Dependencies are inferred from the claim text.