Sensing devices for detecting and processing acoustic signals in healthcare
Acoustic signals are important markers to monitor physiological and pathological conditions,
eg, heart and respiratory sounds. The employment of traditional devices, such as …
eg, heart and respiratory sounds. The employment of traditional devices, such as …
[HTML][HTML] Phonocardiogram transfer learning-based CatBoost model for diastolic dysfunction identification using multiple domain-specific deep feature fusion
Y Zheng, X Guo, Y Yang, H Wang, K Liao… - Computers in Biology and …, 2023 - Elsevier
Left ventricular diastolic dyfunction detection is particularly important in cardiac function
screening. This paper proposed a phonocardiogram (PCG) transfer learning-based …
screening. This paper proposed a phonocardiogram (PCG) transfer learning-based …
A multi-scale and multi-domain heart sound feature-based machine learning model for ACC/AHA heart failure stage classification
Y Zheng, X Guo, Y Wang, J Qin… - Physiological …, 2022 - iopscience.iop.org
Objective. Heart sounds can reflect detrimental changes in cardiac mechanical activity that
are common pathological characteristics of chronic heart failure (CHF). The ACC/AHA heart …
are common pathological characteristics of chronic heart failure (CHF). The ACC/AHA heart …
Fed-MStacking: Heterogeneous Federated Learning with Stacking Misaligned Labels for Abnormal Heart Sound Detection
Ubiquitous sensing has been widely applied in smart healthcare, providing an opportunity
for intelligent heart sound auscultation. However, smart devices contain sensitive …
for intelligent heart sound auscultation. However, smart devices contain sensitive …
Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework
Objective: Early diagnosis of cardiovascular diseases is a crucial task in medical practice.
With the application of computer audition in the healthcare field, artificial intelligence (AI) has …
With the application of computer audition in the healthcare field, artificial intelligence (AI) has …
Spectral analysis of heart sounds associated with coronary artery disease
Objective. The aim of this study was to find spectral differences of diagnostic interest in heart
sound recordings of patients with coronary artery disease (CAD) and healthy subjects …
sound recordings of patients with coronary artery disease (CAD) and healthy subjects …
Improved pre-test likelihood estimation of coronary artery disease using phonocardiography
Aims Current early risk stratification of coronary artery disease (CAD) consists of pre-test
probability scoring such as the 2019 ESC guidelines on chronic coronary syndromes …
probability scoring such as the 2019 ESC guidelines on chronic coronary syndromes …
Likelihood reclassification by an acoustic-based score in suspected coronary artery disease
Objective Validation studies of the 2019 European Society of Cardiology pretest probability
model (ESC-PTP) for coronary artery disease (CAD) report that 35%–40% of patients have …
model (ESC-PTP) for coronary artery disease (CAD) report that 35%–40% of patients have …
The Feasibility of Ultra-Sensitive Phonocardiography in Acute Chest Pain Patients of a Tertiary Care Emergency Department (ScorED Feasibility Study)
S Schnaubelt, F Eibensteiner, J Oppenauer… - Journal of Personalized …, 2022 - mdpi.com
Background: Thoracic pain is one of the most frequent chief complaints at emergency
departments (EDs). However, a respective workup in cases without clear …
departments (EDs). However, a respective workup in cases without clear …
[PDF][PDF] Deep Learning in Heart Sound Analysis: From Techniques to Clinical Applications
Q Zhao, S Geng, B Wang, Y Sun, W Nie, B Bai, C Yu… - Health Data … - spj.science.org
Importance: Heart sound auscultation is a routinely used physical examination in clinical
practice to identify potential cardiac abnormalities. However, accurate interpretation of heart …
practice to identify potential cardiac abnormalities. However, accurate interpretation of heart …