Our Technology

We convert the airwaves from your breathing into sound waves providing new respiratory acoustic analytics and artificial intelligence in the fields of medical diagnostics, wellness, and fitness. Our technology can be a stand-alone solution, or it can be integrated into other respiratory devices and equipment to provide new data insights to detect and manage respiratory health.

We have recently developed a spirometer that simultaneously measures lung flow volumes and lung sounds.

To date, we have 7 Patents.


The Analyzer for Pathology consists of  a number of modes that analyze different kinds of breathing protocols including tidal breathing (at rest), forced vital capacity, slow vital capacity, tidal breathing and paced breathing.

Our machine learning algorithms report and track statistical information that combines data about respiratory flow and harmonic frequencies to understand the behavior of healthy breathing and the signs of pathology in different stages of respiratory disease. We have developed over 35 descriptors for wheeze, crackles, coughs and breath pattern behavior that can be applied to respiratory disease.

Our artificial Intelligence Platform

We have developed an artificial neural network that inputs lung flow volumes and lung sound descriptors simultaneously to determine pathology severity (wheeze, cough, crackles, shortness of breath) and disease severity (asthma, COPD, pulmonary fibrosis, lung cancer). To date, we have trained our artificial neural network to evaluate asthma and COPD severity.

The Cardiopulmonary Testing Framework

Breath Research has been developing a cardiopulmonary exercise test (CPET) based on pure audio input only. Our goal is the accurate detection of ventilatory thresholds (VE/VO2 and VE/VCO2 inflection points) which are the basis for exercise intensity or heart rate training zones and can be used for early detection and tracking of cardiopulmonary diseases.

Our custom framework successfully detects ventilatory thresholds for a broad range of adult populations during exercise tests of varying length with a 93% accuracy rate.

The MyBreath App

We have explored recording and analyzing respiratory sounds from a number of different sources, including the onboard microphone in mobile phones. We have developed a breathing app over the years that integrates breath measurements and coaching. Our current app is available on the iTunes store.