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 …

Evaluation of performance metrics and denoising of PCG signal using Wavelet Based Decomposition

SK Ghosh, RK Tripathy… - 2020 IEEE 17th India …, 2020 - ieeexplore.ieee.org
Phonocardiogram (PCG) signal contains significant bio-acoustic information reflecting the
operation of the heart, and is used to detect the various diseases related to heart valve. But it …

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 …

A hybrid method for fundamental heart sound segmentation using group-sparsity denoising and variational mode decomposition

VG Sujadevi, N Mohan, S Sachin Kumar… - Biomedical engineering …, 2019 - Springer
Segmentation of fundamental heart sounds–S1 and S2 is important for automated
monitoring of cardiac activity including diagnosis of the heart diseases. This pa-per …

[HTML][HTML] A comparative study of single-channel signal processing methods in fetal phonocardiography

K Barnova, R Kahankova, R Jaros, M Litschmannova… - Plos one, 2022 - journals.plos.org
Fetal phonocardiography is a non-invasive, completely passive and low-cost method based
on sensing acoustic signals from the maternal abdomen. However, different types of …

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 …

A novel heart sound segmentation algorithm via multi-feature input and neural network with attention mechanism

Y Guo, H Yang, T Guo, J Pan… - Biomedical Physics & …, 2022 - iopscience.iop.org
Objective. Heart sound segmentation (HSS), which aims to identify the exact positions of the
first heart sound (S1), second heart sound (S2), the duration of S1, systole, S2, and diastole …

[HTML][HTML] Classification of Children's Heart Sounds With Noise Reduction Based on Variational Modal Decomposition

A Zhang, J Wang, F Qu, Z He - Frontiers in Medical Technology, 2022 - frontiersin.org
Purpose Children's heart sounds were denoised to improve the performance of the
intelligent diagnosis. Methods A combined noise reduction method based on variational …

A fast iterative filtering method for efficient denoising of phonocardiogram signals

NSS Reddy, VPMS Reddy, N Mohan… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The need for computer-aided diagnosis (CAD) in the automatic monitoring of cardiac
diseases has significantly increased in the current medical arena. This paper presents a …

Feature extraction of ECG signal using variational mode decomposition

B Shanmukh, R Shanmughasundaram - Evolution in Signal Processing …, 2022 - Springer
Variational mode decomposition (VMD) method is used for feature extraction of ECG signal.
MATLAB/Simulink is used for simulating the VMD. The performance of VMD is compared …