1. Lung sounds collected during auscultation
Recording sounds with an off-the-shelf digital stethoscope, connected toourapp(as self-check or assisted by health professional or next-of-keen).
2. Data analyzedautomatically
Lung sounds are automatically sent to the cloud where algorithms detect wheezes, crackles, normal sounds and breathing phases. The findings are presented in the app in a summary form.
3. Save and compare from day-to-day
The summary of findings is saved in the patient's profile. The historic chart shows if there's more or less abnormality than usual. API to further share and combine with other data.
Developed on a large expert-annotated dataset from a population study in Norway
Accuracy of detecting wheezes / crackles / normal and breathing phases around 90%
All abnormal sounds are highlighted for intuitive guidance.
Multiple examples as well as quizzes.
Split into modules for self-paced learning and testing.
All materials developed and reviewed in collaboration with lung sounds experts.