Pulmonary Function

Our technology is designed to enable a new form of visual respiratory diagnostics that can be used to supplement and improve existing Pulmonary Function Test (PFT) procedures

From the use of high-resolution filtered IR imaging, we can obtain detailed visual information about breathing behaviors. The challenge our solution addresses is how to quantify, evaluate, and convert these complex behaviors into quantitative measurements, identify abnormalities, and assist in the diagnosis process.

Although our technique mainly focuses on visual exhale behaviors, we are currently development methods to infer inhale behavior through new methods in machine learning. We have also developed methods for monitoring respiratory behaviors through 3D chest reconstruction, which can be used in conjunction with this technology to model chest deformations, evaluate effort, and relate chest movements to exhaled air for evaluating obstructed breathing. All of these methods utilize vision-based non-contact infrared imaging.