Audio recognition can be used in smart cities for security, surveillance, manufacturing,
autonomous vehicles, and noise mitigation, just to name a few. However, urban sounds are …

With the development of Artificial Intelligence techniques, smart health monitoring is
becoming more popular. In this study, we investigate the trend of wearable sensors being …

Lung diseases lead to complications from obstructive diseases, and the COVID-19
pandemic has increased lung disease-related deaths. Medical practitioners use …

Sound recognition is effortless for humans but poses a significant challenge for artificial
hearing systems. Deep neural networks (DNNs), especially convolutional neural networks …

Stethoscope-recorded chest sounds provide the opportunity for remote cardio-respiratory
health monitoring of neonates. However, reliable monitoring requires high-quality heart and …

As part of George B. Moody Physionet Challenge 2022, our team Melbourne Kangas,
proposed an algorithm for identifying abnormal heart sounds from paediatric phono …

This paper proposed a novel approach for detecting lung sound disorders using deep
learning feature fusion. The lung sound dataset are oversampled and converted into …

Chest sound—as the first and most commonly available vital signal for newborns—contains
affluent information about their cardiac and respiratory health. However, neonatal lung …

Abstract Background and Objective: Heart auscultation enables early diagnosis of
cardiovascular diseases. Automated segmentation of cardiograms into fundamental heart …

The breath rate can now be monitored remotely due to the advancements in digital
stethoscope sensor technology, signal processing, and machine learning. Automatic …