Results 31 to 40 of about 3,314 (208)
IEEE Access, 2019 Small computer board platforms, such as Arduino, Raspberry Pi, and micro: bit are very common, cheap, and useful tools to teach modern technology, coding, and experimenting in different disciplines at various levels. Due to the huge available information
Zoltan Gingl +4 more
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SEPARATING SOURCES FROM SEQUENTIALLY ACQUIRED MIXTURES OF HEART SIGNALS [PDF]
, 2011 © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Coimbra, MT +5 more
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A Novel Method for Measuring the Timing of Heart Sound Components through Digital Phonocardiography
Sensors, 2019 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
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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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A system for heart sounds classification. [PDF]
PLoS ONE, 2014 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
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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
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BioMedical Engineering OnLine, 2011 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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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
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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
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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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