Biomarkers are unique identifiers that help in the identification of medical conditions, while patients give symptoms physicians look for biomarkers. We are using the Tambua Platform to develop lung sound-derived biomarkers that distinguish Pneumonia, Asthma and COPD patients from age-matched controls. We quantify time, frequency and intensity based acoustic parameters and other metadata using an omnichannel contact microphone placed on the chest surface.
Some of the Biomarkers Identified
Inspiration Crackle Rate and Expiration Crackle Rate
Inspiration Wheeze Rate and Expiration Wheeze Rate
The ratio of the duration of inspiration to the duration of expiration
High-frequency components during Inspiration and Expiration
Impulsive signal components during Inspiration and Expiration