Abstract: 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).

Abstract: Various embodiments provide novel tools and techniques for behind-the-car biosignal sensing and stimulation. A system includes a behind-the-car wearable device further including an ear piece, one or more sensors coupled to a patient behind the ears of the patient and a host machine coupled to the behind-the-car wearable device. The host machine includes a second processor, and a second computer readable medium in communication with the second processor, the second computer readable medium having encoded thereon a second set of instructions executable by the second processor to obtain the first signal, separate the first signal into one or more individual biosignals, and determine, based on one or more features extracted from the one or more individual biosignals, awakefulness classification of the patient.

Abstract: 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).