The utility of phonocardiograms in real-time remote cardiac auscultation using an internet-connected electronic stethoscope: Open-label randomized controlled pilot trial [PDF]
Digital Health, 2023 Background We have shown classical cardiac auscultation was superior to remote auscultation. We developed a phonocardiogram system to visualize sounds in remote auscultation.
Takanobu Hirosawa +5 more
doaj +3 more sources
Unsupervised Phonocardiogram Analysis With Distribution Density Based Variational Auto-Encoders [PDF]
Frontiers in Medicine, 2021 This paper proposes an unsupervised way for Phonocardiogram (PCG) analysis, which uses a revised auto encoder based on distribution density estimation in the latent space.
Shengchen Li
exaly +4 more sources
Evaluation of the Audicor Acoustic Cardiography Device as a Diagnostic Tool in Horses with Mitral or Aortic Valve Insufficiency [PDF]
AnimalsMitral and aortic valve insufficiencies have been commonly reported in horses. The objective of this study was to establish the use of acoustic cardiography (Audicor®) in horses with aortic (AI) or mitral valve insufficiency (MI).
Isabelle L. Piotrowski +2 more
doaj +5 more sources
A Hardware-Software System for Accurate Segmentation of Phonocardiogram Signal [PDF]
Journal of Biomedical Physics and Engineering, 2023 Background: Phonocardiogram (PCG) signal provides valuable information for diagnosing heart diseases. However, its applications in quantitative analyses of heart function are limited because the interpretation of this signal is difficult.
Mohammad Mehdi Movahedi +5 more
doaj +3 more sources
Augmented detection of septal defects using advanced optical coherence tomography network-processed phonocardiogram [PDF]
Frontiers in Cardiovascular Medicine, 2022 BackgroundCardiac auscultation is a traditional method that is most frequently used for identifying congenital heart disease (CHD). Failure to diagnose CHD may occur in patients with faint murmurs or obesity. We aimed to develop an intelligent diagnostic
Po-Kai Huang +7 more
doaj +4 more sources
Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies. [PDF]
PLoS ONEThis paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with ...
Mehdi Hosseinzadeh +10 more
doaj +3 more sources
Rheumatic Heart Disease Screening Based on Phonocardiogram [PDF]
Sensors, 2021 Rheumatic heart disease (RHD) is one of the most common causes of cardiovascular complications in developing countries. It is a heart valve disease that typically affects children. Impaired heart valves stop functioning properly, resulting in a turbulent
Melkamu Hunegnaw Asmare +4 more
doaj +2 more sources
Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features [PDF]
Revista Elektrón, 2020 In this work, a novel stack of well-known technologies is presented to determine an automatic method to segment the heart sounds in a phonocardiogram (PCG).
Alvaro Joaquin Gaona, Pedro David Arini
doaj +2 more sources
A Novel U-Net Architecture for Denoising of Real-world Noise Corrupted Phonocardiogram Signal [PDF]
arXiv, 2023 The bio-acoustic information contained within heart sound signals are utilized by physicians world-wide for auscultation purpose. However, the heart sounds are inherently susceptible to noise contamination. Various sources of noises like lung sound, coughing, sneezing, and other background noises are involved in such contamination.
Ayan Mukherjee +2 more
arxiv +3 more sources
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram [PDF]
, 2022 Objective: Murmurs are abnormal heart sounds, identified by experts through cardiac auscultation. The murmur grade, a quantitative measure of the murmur intensity, is strongly correlated with the patient's clinical condition. This work aims to estimate each patient's murmur grade (i.e., absent, soft, loud) from multiple auscultation location ...
Andoni Elola +8 more
arxiv +3 more sources