In this paper, we consider two different approaches of using deep neural networks for cough
detection. The cough detection task is cast as a visual recognition problem and as a …

In this paper, we present a system that employs a wearable acoustic sensor and a deep
convolutional neural network for detecting coughs. We evaluate the performance of our …

Automatic cough detection is key to tracking the condition of patients suffering from
tuberculosis. We evaluate various acoustic features for performing cough detection using …

Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the
forefront, one of the most prominent being machine learning empowered health care. One of …

Coughing is a typical symptom of COVID-19. To detect and localize coughing sounds
remotely, a convolutional neural network (CNN) based deep learning model was developed …

Ubiquitous mobile devices have the potential to reduce the financial burden of healthcare
systems by providing scalable and cost-efficient health monitoring applications. Coughing is …

Presence of sputum in pulmonary system is an important bio-marker, critical in determining
the existence of many disease such as lung infection, pneumonia, cancer, etc. While there …

Cough is a protective reflex conveying information on the state of the respiratory system.
Cough assessment has been limited so far to subjective measurement tools or …

Cough is a very common symptom and the most frequent reason for seeking medical advice.
Optimized care goes inevitably through an adapted recording of this symptom and automatic …

Cough is a common symptom that manifests in numerous respiratory diseases. In chronic
respiratory diseases, such as asthma and COPD, monitoring of cough is an integral part in …