In this study, two models for classifying heart rate sounds are proposed to classify heart
sound by deep learning techniques based on the log-mel spectrogram of heart sound …

Background Heart sound plays a vital role to achieve an accurate diagnosis of
cardiovascular diseases, and its auxiliary diagnosis methods have become a hotspot. Aim …

Heart sound classification plays a critical role in the early diagnosis of cardiovascular
diseases. Although there have been many advances in heart sound classification in the last …

Featured Application Combining of multi-features extracted manually and convolutional
neural network classifier for automatic heart sounds classification. Abstract Heart sounds …

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 techniques are the future trend for designing heart sound classification
methods, making conventional heart sound segmentation dispensable. However, despite …

The mortality rate of heart disease continues to rise each year: developing mechanisms to
reduce mortality from heart disease is a top concern in today's society. Heart sound …

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 sound classification plays a vital role in the early detection of cardiovascular disorders,
especially for small primary health care clinics. Despite that much progress has been made …

We purpose a novel method that combines modified frequency slice wavelet transform
(MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal …