Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
A novel wearable device integrating ECG and PCG for cardiac health monitoring.
Microsyst Nanoeng
January 2025
Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of Education, North University of China, 030051, Taiyuan, China.
The alarming prevalence and mortality rates associated with cardiovascular diseases have emphasized the urgency for innovative detection solutions. Traditional methods, often costly, bulky, and prone to subjectivity, fall short of meeting the need for daily monitoring. Digital and portable wearable monitoring devices have emerged as a promising research frontier.
View Article and Find Full Text PDFEnhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies.
PLoS One
December 2024
Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan.
This 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 thirteen MFCCs estimated from each segment, yielding 52 MFCCs per beat. Finally, MFCCs are used for heart sound classification.
View Article and Find Full Text PDFA Case of Intensified Fourth and Second Heart Sounds Analyzed Using a Visualized Phonocardiogram during the 2024 Noto Peninsula Earthquake Recovery Efforts.
Intern Med
December 2024
Heart Valve Center, Midori Hospital, Japan.
A 54-year-old man presented with a significant fourth heart sound (S4) and increased intensity of the second heart sound (S2), despite the absence of heart failure symptoms, in the second week of March 2024. Visualized phonocardiograms confirmed these findings, and further interviews revealed that he had suffered lifestyle changes, such as long commutes and sodium overload, while contributing to the response efforts in the 2024 Noto Peninsula Earthquake. Visualized phonocardiograms were also influential in determining the treatment strategy, persuading the patient to undergo a specific therapy, evaluating the therapeutic effects, and suggesting a new model for clinical practice.
View Article and Find Full Text PDFpyPCG: a Python toolbox specialized for phonocardiography analysis.
Physiol Meas
December 2024
Biomedical Engineering, Technion Israel Institute of Technology, Julius Silver Building, Haifa, 32000, ISRAEL.
Objective: Phonocardiography has recently gained popularity in low-cost and remote monitoring, including passive fetal heart monitoring. The development of methods which analyse phonocardiographic data tries to capitalize on this opportunity, and in recent years a multitude of such algorithms and models have been published. In these approaches there is little to no standardization and multiple parts of these models have to be reimplemented on a case-by-case basis.
View Article and Find Full Text PDFMachine Learning based Heart Murmur Detection and Classification.
Biomed Phys Eng Express
December 2024
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Katubedda, Moratuwa, 10400, SRI LANKA.
Cardiovascular diseases rank among the leading causes of mortality worldwide and the early identification of diseases is of paramount importance. This work focuses on developing a novel machine learning-based framework for early detection and classification of heart murmurs by analysing phonocardiogram signals. Our heart murmur detection and classification pipeline encompasses three classification settings.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!