An open access database for the evaluation of heart sound algorithms

C Liu, D Springer, Q Li, B Moody… - Physiological …, 2016 - iopscience.iop.org
In the past few decades, analysis of heart sound signals (ie the phonocardiogram or PCG),
especially for automated heart sound segmentation and classification, has been widely …

Classification of normal/abnormal heart sound recordings: The PhysioNet/Computing in Cardiology Challenge 2016

GD Clifford, C Liu, B Moody, D Springer… - 2016 Computing in …, 2016 - ieeexplore.ieee.org
In the past few decades heart sound signals (ie, phono-cardiograms or PCGs) have been
widely studied. Automated heart sound segmentation and classification techniques have the …

Phonocardiographic sensing using deep learning for abnormal heartbeat detection

S Latif, M Usman, R Rana, J Qadir - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Deep learning-based cardiac auscultation is of significant interest to the healthcare
community as it can help reducing the burden of manual auscultation with automated …

A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography

DA Birrenkott, MAF Pimentel… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: Respiratory rate (RR) estimation algorithms based on the photoplethymogram
(PPG) and electrocardiogram (ECG) lack clinical robustness. This is because the PPG and …

Performance of an open-source heart sound segmentation algorithm on eight independent databases

C Liu, D Springer, GD Clifford - Physiological measurement, 2017 - iopscience.iop.org
Objective: Heart sound segmentation is a prerequisite step for the automatic analysis of
heart sound signals, facilitating the subsequent identification and classification of …

Rheumatic heart disease screening based on phonocardiogram

MH Asmare, B Filtjens, F Woldehanna, L Janssens… - Sensors, 2021 - mdpi.com
Rheumatic heart disease (RHD) is one of the most common causes of cardiovascular
complications in develo** countries. It is a heart valve disease that typically affects …

Characterization of rheumatic heart disease from electrocardiogram recordings

MH Asmare, AT Chuma, C Varon… - Physiological …, 2023 - iopscience.iop.org
Objective. Rheumatic Heart Disease (RHD) is one of the highly prevalent heart diseases in
develo** countries that can affect the pericardium, myocardium, or endocardium …

Respiratory quality indices for automated monitoring of respiration from sensor data

D Birrenkott - 2018 - ora.ox.ac.uk
Abnormal respiratory rate (RR) is known to be one of the most clinically effective predictors
of catastrophic decline. Despite this, RR is often the least monitored and most inaccurately …