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
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Fog Computing in Medical Internet-of-Things: Architecture, Implementation, and Applications
, 2017 In the era when the market segment of Internet of Things (IoT) tops the chart in various business reports, it is apparently envisioned that the field of medicine expects to gain a large benefit from the explosion of wearables and internet-connected ...
Abtahi, Mohammadreza +9 more
core +1 more source
Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography [PDF]
, 2022 This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network (CNN).
Babic, Ankica, Gharehbaghi, Arash
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Analysis of left ventricular behaviour in diastole by means of finite element method [PDF]
, 1979 The human left ventricle in diastole can be modelled as a passive structure with incremental internal pressure change being considered as the load. Recent developments in engineering stress analysis provide techniques for predicting the behaviour of ...
Gibson, DG, Vinson, CA, Yettram, AL
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Denoising of Fetal Phonocardiogram Signal by Wavelet Transformation [PDF]
E3S Web of Conferences, 2020 Auscultation is still one of the most basic analytical tools used to determine the fetal heart’s functional state as well as the first fetal well-being measure. It is called fetal phonocardiography (fPCG) in its modern form.
Suryani Faradisa Irmalia +3 more
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Systolic ejection murmurs and the left ventricular outflow tract in boxer dogs [PDF]
, 2007 Turbulence of various genesis in the left ventricular outflow tract (LVOT) causes systolic ejection murmurs. The prevalence of murmurs in adult boxer dogs is 50-80%, the majority of which are of low intensity.
Höglund, Katja
core
WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.ABSTRACT The integration of wavelet transformation and artificial intelligence techniques has demonstrated significant potential in healthcare applications. Wavelet analysis enables multi‐scale signal decomposition and feature extraction that, when combined with machine and deep learning approaches, enhance the accuracy and efficiency of medical data ...
Samiul Based Shuvo +8 more
wiley +1 more source
Wavelet-based fundamental heart sound recognition method using morphological and interval features
Healthcare Technology Letters, 2018 Accurate and reliable recognition of fundamental heart sounds (FHSs) plays a significant role in automated analysis of heart sound (HS) patterns. This Letter presents an automated wavelet-based FHS recognition (WFHSR) method using morphological and ...
V. Nivitha Varghees +2 more
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Clinical Severity Score System in Dogs with Degenerative Mitral Valve Disease [PDF]
, 2015 BACKGROUND: Several risk factors already have been determined for dogs with degenerative mitral valve disease (DMVD). Risk factors often have been considered in isolation and have not always taken into account additional information provided by the ...
Atkins +31 more
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Automatic Identification of the Best Auscultation Area for the Estimation of the Time of Closure of Heart Valves through Multi-Source Phonocardiography [PDF]
, 2022 In the latest years, multi-source phonocardiography (PCG) is gaining interest in relation to the home monitoring of cardiovascular diseases. An application of interest regards the monitoring of the time of closure of the four cardiac valves, which would ...
Gabriella Balestra +4 more
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