Monitoring coughs using a chest-wearable Respeck

This paper describes an unobtrusive cough monitor based on the wireless Respeck sensor worn as a patch on the chest, in tandem with a deep learning-based cough classification method for the automatic detection of instances of coughs in the Respeck sensor data. The cough monitor was evaluated on an unseen, 2.5h-long, Respeck dataset which mimicked real-life settings and achieved an accuracy of greater than 82% using a one-dimensional convolutional neural network. Results are presented on testing the Respeck cough monitor in the wild on asthma and COPD patients which provided insights validated by independent publications.