Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022

MA Reyna, Y Kiarashi, A Elola, J Oliveira… - PLOS Digital …, 2023 - journals.plos.org
Cardiac auscultation is an accessible diagnostic screening tool that can help to identify
patients with heart murmurs, who may need follow-up diagnostic screening and treatment for …

A comprehensive survey on heart sound analysis in the deep learning era

Z Ren, Y Chang, TT Nguyen, Y Tan… - IEEE Computational …, 2024 - ieeexplore.ieee.org
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …

CNN and bidirectional GRU-based heartbeat sound classification architecture for elderly people

H Yadav, P Shah, N Gandhi, T Vyas, A Nair, S Desai… - Mathematics, 2023 - mdpi.com
Cardiovascular diseases (CVDs) are a significant cause of death worldwide. CVDs can be
prevented by diagnosing heartbeat sounds and other conventional techniques early to …

Beyond heart murmur detection: automatic murmur grading from phonocardiogram

A Elola, E Aramendi, J Oliveira, F Renna… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Objective: Murmurs are abnormal heart sounds, identified by experts through cardiac
auscultation. The murmur grade, a quantitative measure of the murmur intensity, is strongly …

MCHeart: multi-channel-based heart signal processing scheme for heart noise detection using deep learning

S Han, W Jeon, W Gong, IY Kwak - Biology, 2023 - mdpi.com
Simple Summary Cardiovascular disease is a major global health concern. Early detection
is vital, with phonocardiograms (PCGs) offering valuable heart sound data, including …

[HTML][HTML] A deep neural network approach to heart murmur detection using spectrogram and peak interval features

S Han, T Kang, J Lee, N Kim, H Won, YH Kim… - … Applications of Artificial …, 2024 - Elsevier
Congenital heart disease affects about 1% of newborns, posing risks like heart failure and
mortality. Developing countries often lack resources for diagnosis and treatment. The …

A Noise-Robust Heart Sound Segmentation Algorithm Based on Shannon Energy

Y Arjoune, T Nguyen, R Doroshow, R Shekhar - IEEE Access, 2024 - ieeexplore.ieee.org
Heart sound segmentation has been shown to improve the performance of artificial
intelligence (AI)-based auscultation decision support systems increasingly viewed as a …

[HTML][HTML] Heart Murmur Quality Detection Using Deep Neural Networks with Attention Mechanism

T Wu, Z Huang, S Li, Q Zhao, F Pan - Applied Sciences, 2024 - mdpi.com
Heart murmurs play a critical role in assessing the condition of the heart. Murmur quality
reflects the subjective human perception of heart murmurs and is an important characteristic …

Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence

F Özcan - Health Information Science and Systems, 2024 - Springer
Cardiovascular disease, which remains one of the main causes of death, can be prevented
by early diagnosis of heart sounds. Certain noisy signals, known as murmurs, may be …

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning

C Xu, X Li, X Zhang, R Wu, Y Zhou, Q Zhao… - … Information Science and …, 2023 - Springer
Cardiovascular disease (CVDs) has become one of the leading causes of death, posing a
significant threat to human life. The development of reliable Artificial Intelligence (AI) …