The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …

Heart sounds have been widely studied and have been demonstrated to have value for
detecting pathologies in clinical applications. Over the last few decades, the use of heart …

In this paper we present ensembles of classifiers for automated animal audio classification,
exploiting different data augmentation techniques for training Convolutional Neural …

The damage to the heart valves causes heart valve disorders (HVDs). The detection of
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …

This study concerns the task of automatic structural heart abnormality risk detection from
digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening …

Research in sound classification and recognition is rapidly advancing in the field of pattern
recognition. One important area in this field is environmental sound recognition, whether it …

Automatic heart sound auscultation is one of the common used techniques for
cardiovascular diseases detection. In this paper, a novel heart sound classification method …

Deep learning-based cardiac auscultation is of significant interest to the healthcare
community as it can help reducing the burden of manual auscultation with automated …

Heart sound diagnosis and classification play an essential role in detecting cardiovascular
disorders, especially when the remote diagnosis becomes standard clinical practice. Most of …

Chronic heart failure (CHF) affects over 26 million of people worldwide, and its incidence is
increasing by 2% annually. Despite the significant burden that CHF poses and despite the …