Early diagnosis of pneumonia is vital for improved treatment outcomes; however, most health workers fail to correctly count the RR and decipher lung sounds resulting in delayed pneumonia diagnosis, delayed treatment and complications. There are 120 million episodes of pneumonia per year globally in children under 5, over 10% of these progress to severe episodes (WHO, 2016 factsheet). Pneumonia is the world’s leading cause of death among children under 5 years of age, accounting for 16% deaths.
It determines and interprets Respiratory Rate and lung sounds for the diagnosis of respiratory disease using acoustic sensors placed over strategic lung fields. The device is strapped around the child’s chest and measures breathing rate and lung sounds, which are analyzed using machine learning to diagnose pneumonia. Patient data can be uploaded on the cloud for remote consultation or telemedicine application.