Results 31 to 40 of about 1,616 (163)
A Novel Method for Measuring the Timing of Heart Sound Components through Digital Phonocardiography
The auscultation of heart sounds has been for decades a fundamental diagnostic tool in clinical practice. Higher effectiveness can be achieved by recording the corresponding biomedical signal, namely the phonocardiographic signal, and processing it by ...
Noemi Giordano, Marco Knaflitz
doaj +1 more source
A system for heart sounds classification. [PDF]
The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an ...
Grzegorz Redlarski +2 more
doaj +1 more source
Background During the cardiac cycle, the heart normally produces repeatable physiological sounds. However, under pathologic conditions, such as with heart valve stenosis or a ventricular septal defect, blood flow turbulence leads to the production of ...
Ali Akbari Mohammad +6 more
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Wavelet-based fundamental heart sound recognition method using morphological and interval features
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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This study proposes a non‐invasive approach for coronary artery disease (CAD) screening by analyzing diastolic heart sounds using an Empirical Wavelet Transform (EWT). Spectral energies e(2) and e(3) were identified as sensitive indicators of left anterior descending artery (LAD) stenosis severity.
Haixia Li +5 more
wiley +1 more source
Internet of Medical Things‐Driven Deep Learning Approach for Automated Heart Sound Classification
The Internet of Medical Things (IoMT) has emerged as a transformative force in healthcare, enabling the development of innovative and noninvasive diagnostic tools that leverage connected technologies. This research focuses on the application of IoMT in conjunction with deep learning techniques to detect and classify heart diseases through the analysis ...
Muhammad Sajid +8 more
wiley +1 more source
Compound‐Eye RF Vision for Next‐Generation Biomedical and Human‐Centred Radar Sensing
This paper will first review recent biomedical radar‐enabled advancements at the human–microwave frontier, including physiological signal sensing, non‐contact human–computer interfaces, driving behaviour recognition, human tracking, and early‐stage clinical studies.
Victor G. Rizzi Varela, Changzhi Li
wiley +1 more source
Novel phonocardiography system for heartbeat detection from various locations
The paper presents evaluation of the proposed phonocardiography (PCG) measurement system designed primarily for heartbeat detection to estimate heart rate (HR). Typically, HR estimation is performed using electrocardiography (ECG) or pulse wave as one of
Rene Jaros +3 more
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A Novel Approach to Simultaneous Phonocardiography and Electrocardiography During Auscultation
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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Background The association between abdominal obesity and arterial stiffness remains controversial. This study was aimed at investigating the associations between anthropometric indices, body composition, and arterial stiffness among middle‐aged Thai adults.
Thapanee Roengrit +3 more
wiley +1 more source

