Results 31 to 40 of about 5,458 (233)
Dynamic Changes in Fourth Heart Sound in Type 2 Diabetes: Insights From Visualized Phonocardiography and SGLT2 Inhibitor Adjustment. [PDF]
Case Rep MedThe fourth heart sound (S4) is an auscultatory marker of left ventricular diastolic dysfunction (LVDD). Additionally, S4 correlates with atrial function, which is typically impaired in patients with Type 2 diabetes (T2D) but can improve with sodium–glucose co‐transporter‐2 inhibitor (SGLT2i) therapy.
Yagi K +8 more
europepmc +2 more sources
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation
, 2020 Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed.
Denman, Simon +5 more
core +1 more source
Algorithm for heart rate extraction in a novel wearable acoustic sensor. [PDF]
, 2015 Phonocardiography is a widely used method of listening to the heart sounds and indicating the presence of cardiac abnormalities. Each heart cycle consists of two major sounds - S1 and S2 - that can be used to determine the heart rate.
Aguilar-Pelaez, E +3 more
core +1 more source
Cardiorespiratory system monitoring using a developed acoustic sensor
Healthcare Technology Letters, 2018 This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the ...
Reza Abbasi-Kesbi +2 more
doaj +1 more source
Mathematical Biosciences and Engineering, 2022 Heart failure (HF) is widely acknowledged as the terminal stage of cardiac disease and represents a global clinical and public health problem. Left ventricular ejection fraction (LVEF) measured by echocardiography is an important indicator of HF ...
Yajing Zeng +6 more
doaj +1 more source
Short-segment heart sound classification using an ensemble of deep convolutional neural networks [PDF]
, 2018 This paper proposes a framework based on deep convolutional neural networks (CNNs) for automatic heart sound classification using short-segments of individual heart beats. We design a 1D-CNN that directly learns features from raw heart-sound signals, and
Noman, Fuad +3 more
core +2 more sources
A Novel Approach to Simultaneous Phonocardiography and Electrocardiography During Auscultation
IEEE Access, 2023 The combination of the phonocardiogram (PCG) and the electrocardiogram (ECG) allows the simultaneous evaluation of the heart’s mechanical and electrical conditions and could significantly improve the accuracy of an initial cardiovascular disease ...
Sofia M. Monteiro, Hugo Placido da Silva
doaj +1 more source
Heart sound classification from unsegmented phonocardiograms [PDF]
Physiological Measurement, 2017 Most algorithms for automated analysis of phonocardiograms (PCG) require segmentation of the signal into the characteristic heart sounds. The aim was to assess the feasibility for accurate classification of heart sounds on short, unsegmented recordings.PCG segments of 5 s duration from the PhysioNet/Computing in Cardiology Challenge database were ...
Langley, Philip, Murray, Alan
openaire +3 more sources
Determination of Morphologically Characteristic PCG Segments from Spectrogram Image [PDF]
Telfor Journal, 2010 The three-dimensional presentation of phonocardiac signal, simultaneously considering time, amplitude and frequency, allows the determination of morphological characteristic segments in phonocardiogram (PCG), both in short and long sequences.
I. S. Reljin +2 more
doaj
Sensors, 2021 Cardiac auscultation is one of the most popular diagnosis approaches to determine cardiovascular status based on listening to heart sounds with a stethoscope.
Soomin Lee +5 more
doaj +1 more source