Accurate and sufficient testing is an important tool for curbing the spread of COVID-19 in order to safely re-open the country. A research team, led by Wei Gao, associate professor of electrical and computer engineering at University of Pittsburgh’s Swanson School of Engineering, is working on a way to use smartphones to make inexpensive, non-invasive at-home testing readily available to a large population, without the need for clinicians or special medical equipment.

The idea is to develop the acoustic sensing capabilities of the microphones and speakers in smartphones to measure the changes in human airway mechanics associated with COVID-19 infection. This includes designing new acoustic waveforms to minimize signal distortion and using artificial intelligence techniques to identify carriers of the virus. This work will likely be applicable to other respiratory diseases as well.

The system will be available as an easily accessible smartphone app but users will need an adapter to use as a mouthpiece in order to transmit and record the acoustic signals. The widespread use of an at-home test that accurately identifies people with COVID-19 without the need for a hospital visit would help contain the spread of the virus.

This project received funding from the National Science Foundation through its RAPID award program in response to the COVID-19 pandemic and is a collaborative effort with Heng Huang, John A. Jurenko Endowed Professor of Electrical and Computer Engineering at Pittsburgh, and clinicians at the University of Pittsburgh Medical Center Children’s Hospital.