Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
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 …
especially for small primary health care clinics. Despite that much progress has been made …
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption
Automatic heart sound auscultation is one of the common used techniques for
cardiovascular diseases detection. In this paper, a novel heart sound classification method …
cardiovascular diseases detection. In this paper, a novel heart sound classification method …
Heart sounds classification based on feature fusion using lightweight neural networks
S Li, F Li, S Tang, F Luo - IEEE Transactions on instrumentation …, 2021 - ieeexplore.ieee.org
Heart sounds are an important basis for evaluating heart disease. In recent years, auxiliary
diagnosis technology of cardiovascular disease based on the detection of heart sound …
diagnosis technology of cardiovascular disease based on the detection of heart sound …
Short-segment heart sound classification using an ensemble of deep convolutional neural networks
This paper proposes a framework based on deep convolutional neural networks (CNNs) for
automatic heart sound classification using short-segments of individual heart beats. We …
automatic heart sound classification using short-segments of individual heart beats. We …
Heart sound classification using deep learning techniques based on log-mel spectrogram
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 …
sound by deep learning techniques based on the log-mel spectrogram of heart sound …
Classification of heart sounds using convolutional neural network
F Li, H Tang, S Shang, K Mathiak, F Cong - Applied Sciences, 2020 - mdpi.com
Featured Application Combining of multi-features extracted manually and convolutional
neural network classifier for automatic heart sounds classification. Abstract Heart sounds …
neural network classifier for automatic heart sounds classification. Abstract Heart sounds …
Deep learning methods for heart sounds classification: a systematic review
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 …
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
A robust deep learning framework based on spectrograms for heart sound classification
Heart sound analysis plays an important role in early detecting heart disease. However,
manual detection requires doctors with extensive clinical experience, which increases …
manual detection requires doctors with extensive clinical experience, which increases …
Learning image-based representations for heart sound classification
Machine learning based heart sound classification represents an efficient technology that
can help reduce the burden of manual auscultation through the automatic detection of …
can help reduce the burden of manual auscultation through the automatic detection of …
Heart sound classification based on log Mel-frequency spectral coefficients features and convolutional neural networks
H Kui, J Pan, R Zong, H Yang, W Wang - Biomedical Signal Processing …, 2021 - Elsevier
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 …
heart disease, a novel method about feature extraction and classification of heart sound …