Accelerometer-based Bed Occupancy Detection for Automatic, Non-invasive Long-term Cough Monitoring

no code implementations • 8 Feb 2022 • Madhurananda Pahar, Igor Miranda, Andreas Diacon, Thomas Niesler

When integrated into a complete cough monitoring system, the daily cough rate of a patient undergoing TB treatment was determined over a period of 14 days.

Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals

no code implementations • 31 Aug 2021 • Madhurananda Pahar, Igor Miranda, Andreas Diacon, Thomas Niesler

We present an automatic non-invasive way of detecting cough events based on both accelerometer and audio signals.

Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements

no code implementations • 9 Feb 2021 • Madhurananda Pahar, Igor Miranda, Andreas Diacon, Thomas Niesler

Since the need to gather audio is avoided and therefore privacy is inherently protected, and since the accelerometer is attached to the bed and not worn, this form of monitoring may represent a more convenient and readily accepted method of long-term patient cough monitoring.