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 …

Heart sound analysis plays an important role in early detecting heart disease. However,
manual detection requires doctors with extensive clinical experience, which increases …

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

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

In view of the important role of heart sound signals in diagnosing and preventing congenital
heart disease, a novel method about feature extraction and classification of heart sound …

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 …

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 …