An end-to-end deep learning framework for real-time denoising of heart sounds for cardiac disease detection in unseen noise

SN Ali, SB Shuvo, MIS Al-Manzo, A Hasan… - IEEE Access, 2023 - ieeexplore.ieee.org
The heart sound signals captured via a digital stethoscope are often distorted by
environmental and physiological noise, altering their salient and critical properties. The …

A robust low-cost adaptive filtering technique for phonocardiogram signal denoising

SH Pauline, S Dhanalakshmi - Signal Processing, 2022 - Elsevier
Objective Phonocardiogram (PCG) represents the recordings of various heart sounds. To
diagnose the different ailments of the heart, it is required to analyze these PCG signals …

Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning

A Maity, G Saha - Computer Methods and Programs in Biomedicine, 2024 - Elsevier
Background and objective: Phonocardiogram (PCG) signal analysis is a non-invasive and
cost-efficient approach for diagnosing cardiovascular diseases. Existing PCG-based …

Artificial intelligence for heart sound classification: A review

J Chen, Z Guo, X Xu, G Jeon, D Camacho - Expert Systems, 2024 - Wiley Online Library
Heart sound signal analysis is very important for the early identification and treatment of
cardiovascular illness. With rapid advancements in science and technology, artificial …

Enhanced myocardial infarction identification in phonocardiogram signals using segmented feature extraction and transfer learning-based classification

S Mandala, SS Amini, AR Syaifullah… - IEEE …, 2023 - ieeexplore.ieee.org
Myocardial Infarction (MI), commonly known as a heart attack, is a type of cardiovascular
disease characterized by the death of heart muscle cells. This condition occurs due to the …

A Low‐Cost Multistage Cascaded Adaptive Filter Configuration for Noise Reduction in Phonocardiogram Signal

SH Pauline, S Dhanalakshmi, R Kumar… - Journal of …, 2022 - Wiley Online Library
Phonocardiogram (PCG), the graphic recording of heart signals, is analyzed to determine
the cardiac mechanical function. In the recording of PCG signals, the major problem …

Exploring the Feasibility of Remote Cardiac Auscultation Using Earphones

T Chen, Y Yang, X Fan, X Guo, J **ong… - Proceedings of the 30th …, 2024 - dl.acm.org
The elderly over 65 accounts for 80% of COVID deaths in the United States. In response to
the pandemic, the federal, state governments, and commercial insurers are promoting video …

Performance assessment of discrete wavelet transform for de-noising of FBG sensors signals embedded in asphalt pavement

A Golmohammadi, N Hasheminejad, D Hernando… - Optical Fiber …, 2024 - Elsevier
In recent years, the Fiber Bragg Grating (FBG) sensor technology has been increasingly
utilized as an optical measurement system in various engineering applications, particularly …

Robust denoising of phonocardiogram signals using time-frequency analysis and U-Nets

C González-Rodríguez, MA Alonso-Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases are the cause of many deaths worldwide every day. Automated
cardiac auscultation is a promising diagnosis method; however, one of its main …

[HTML][HTML] JASSNet: Heart and lung sound separation network based on joint attention mechanism and Semi-Supervised learning

B Zhang, J Wang, Z Ye, L Zhou, D **ong… - … Signal Processing and …, 2025 - Elsevier
High-quality heart and lung sounds are essential for the automated diagnosis of
cardiovascular or respiratory diseases. However, chest sounds recorded by stethoscopes …