Concept

Auscultation

Related publications (7)

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

Martin Jaggi, Mary-Anne Hartley, Juliane Dervaux, Tatjana Chavdarova, Daniel Mueller, Julien Niklas Heitmann, Daniel Hinjos García

The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric outpa ...

NATURE PORTFOLIO2023

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

Mary-Anne Hartley

BackgroundInterstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prom ...

BMC2023

Detection of S1 and S2 locations in phonocardiogram signals using zero frequency filter

Gürkan Yilmaz

Heart auscultation is a widely used technique for diagnosing cardiac abnormalities. In that context, capturing of phonocardiogram (PCG) signals and automatically monitoring of the heart by identifying S1 and S2 complexes is an emerging field. One of the fi ...

2020

Identification of Abnormal Heart Sounds

Jean-Marc Vesin, Sasan Yazdani, Silas Schlatter, Seyyed Abbas Atyabi

As a part of 2016 Physionet/CinC callenge, this work aims at the detection of abnormal phonocardiogram (PCG) recordings. Heart sound signal analysis has been an active research topic over the past decades with various studies such as heart sound segmentati ...

2016

Early Classification of Pathological Heartbeats on Wireless Body Sensor Nodes

David Atienza Alonso, Giovanni Ansaloni, Ruben Braojos Lopez, Ivan Beretta

Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-powered devices allowing the continuous monitoring and real-time interpretation of a subject's bio-signals, such as the electrocardiogram (ECG). These low-power platforms, w ...

MDPI2014

Design, manufacturing and implementation of a novel 2-axis force sensor for haptic applications

Reymond Clavel

Minimally invasive surgeries on the lungs have eliminated the ability for surgeons to place their hands on the patient's organ to feel for abnormalities. Therefore, in this paper, a force sensor for 2 degrees of freedom haptic applications is described. It ...

Elsevier Science Sa2014

Deletion of Sirt3 does not affect atherosclerosis but accelerates weight gain and impairs rapid metabolic adaptation in LDL receptor knockout mice: implications for cardiovascular risk factor development

Johan Auwerx, Julien Weber, Yuan Liu, Chad Brokopp

Sirt3 is a mitochondrial NAD(+)-dependent deacetylase that governs mitochondrial metabolism and reactive oxygen species homeostasis. Sirt3 deficiency has been reported to accelerate the development of the metabolic syndrome. However, the role of Sirt3 in a ...

Springer Verlag2013

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