Smartphone-Based Cough Detection
Smartphone-based cough detection has the potential to enable cost-efficient and scalable home monitoring for the most prevalent respiratory diseases such as asthma, COPD, and COVID-19. In previous research, we have established the feasibility of cough recognition from longitudinal smartphone-based audio recordings, i.e., an automated cough detection algorithm achieved results comparable to those of a human annotator by detecting coughs in audio files recorded by a smartphone. These results were published in leading digital health journals and conferences such as the Journal of Medical Internet Research, the IEEE International Conference on Healthcare Informatics, and the IEEE Journal of Biomedical and Health Informatics. Also, the developed technology lead to the foundation of the startup Resmonics AG, a spin-off company of the Centre for Digital Health Interventions. Currently, we leverage this technology to investigate cough counts as a predictor for disease progression and diagnosis.