Machine learning-based screening of heart failure using the integrated features of electrocardiogram and phonocardiogram: a multicenter study in China [PDF]
BackgroundsHeart failure (HF) is a major health concern associated with poor prognosis, and there is an urgent clinical need for an easy and accurate method for screening HF.
Junjie Bian +8 more
doaj +2 more sources
Accurate and Low-Cost Cardiac Disorder Detection from Wearable Phonocardiogram Signals Using Hybrid Feature Selection and Machine Learning [PDF]
Early and reliable identification of cardiac disorders from Phonocardiogram (PCG) signals acquired from wearable biosensors is critical to support clinical decision making and reduce subjectivity in auscultation-based assessments.
Ali Narin +2 more
doaj +2 more sources
An empirical comparison of deep CNN architectures for heart sound classification from phonocardiogram signals [PDF]
Heart disease continues to be the world’s number one killer, making low-cost, early screening a priority. A phonocardiogram (PCG), a simple recording of sounds made by the heart, provides valuable clues to conditions such as murmurs and valve defects and
Arar Al Tawil +2 more
doaj +2 more sources
Dynamic graph vector autoregression for characterizing cardiac electromechanical dynamics during incremental exercise from the joint phase space of electrocardiogram and phonocardiogram [PDF]
Abnormal cardiac electromechanical coupling (cEMC) is associated with exercise-induced arrhythmias, yet monitoring cEMC during unrestricted movement remains challenging.
Xiaohong Ye, Qiang Lu, Qianyu Lin
doaj +2 more sources
Heart Murmur Detection in Phonocardiogram Data Leveraging Data Augmentation and Artificial Intelligence [PDF]
Background/Objectives: With a 17.9 million annual mortality rate, cardiovascular disease is the leading global cause of death. As such, early detection and disease diagnosis are critical for effective treatment and symptom management.
Melissa Valaee, Shahram Shirani
doaj +2 more sources
Biofeedback with heart sounds following a traumatic event [PDF]
BackgroundSome countries have experienced and may continue to experience severe devastation due to wars, epidemics, earthquakes, and other natural catastrophes.
Fatma Özcan +7 more
doaj +2 more sources
In order to diagnose a range of cardiac conditions, it is important to conduct an accurate evaluation of either phonocardiogram (PCG) and electrocardiogram (ECG) data.
Swarajya Madhuri Rayavarapu +4 more
doaj +1 more source
Introduction: Hemorrhagic shock (HS) is a severe medical emergency. Early diagnosis of HS is important for clinical treatment. In this paper, we report a flexible material-based heart sound monitoring device which can evaluate the degree of HS through a ...
Yan Chen +9 more
doaj +1 more source
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 +1 more source
Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models
Limited cardiology resources increase the urgency for automated heart disease screening for the general public. Heart sound diagnostic models have been recently employed as a cost-effective solution for the initial screening of heart disease.
Davoud Shariat Panah +2 more
doaj +1 more source

