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Stethoscope

Related publications (16)

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

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

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

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

Multi-scale study of desiccation shrinkage in granular soils

Lyesse Laloui

This paper aims to identify and evaluate various critical mechanisms associated with the processes of desiccation shrinkage in drying silty soils. A previously developed 1D bundle-of-tubes model is refined to simulate the various stages of drying shrinkage ...

Crc Press-Taylor & Francis Group2014

Respiratory rate estimation from the ECG using an instantaneous frequency tracking algorithm

Jean-Marc Vesin, Leila Mirmohamadsadeghi

Monitoring the respiratory rate (RR) is important in many clinical and non-clinical situations but it is difficult in practice, for existing devices are obtrusive, bulky and expensive. The extraction of the RR from the routinely acquired electrocardiogram ...

Elsevier Sci Ltd2014

Sleep Apnea Detection using Features from the Respiration and the ECG recorded with Smart-Shirts

Jean-Marc Vesin, Leila Mirmohamadsadeghi, Grégoire Millet, Andréa Buttu, Sibylle Fallet

The automatic detection of sleep apnea episodes, without the need of polysomnography and outside a clinical facility, could help facilitate the diagnosis of this disorder. In this work, features to detect sleep apnea events were computed from respiration a ...

2014

Non-intrusive detection of rotating stall in pump-turbines

Mohamed Farhat, Vlad Hasmatuchi, Steven Roth, Francisco Botero

When operated far from their optimum conditions, pump-turbines may exhibit strong hydrodynamic instabilities, often called rotating stall, which lead to substantial increase of vibration and risk of mechanical failure. In the present study, we have investi ...

Elsevier2014

Brachial artery waveforms for automatic blood pressure measurement

Nikolaos Stergiopoulos

Theoretically the auscultatory method using Korotkoff sounds is more related to the maximum artery closure status, while the oscillometric method is more related to the overall artery closure status under the cuff. Therefore, the latter is less accurate th ...

Elsevier2013

An exploration with online complex activity recognition using cellphone accelerometer

Karl Aberer, Zhixian Yan, Dipanjan Chakraborty, Sumit Mittal

We investigate the problem of online detection of complex activities (such as cooking, lunch, work at desk), i.e., recognizing them while the activities are being performed using parts of the sensor data. In contrast to prior work, where complex activity r ...

ACM2013

Embedded Real-Time ECG Delineation Methods: a Comparative Evaluation

David Atienza Alonso, Giovanni Ansaloni, Ruben Braojos Lopez

Wireless sensor nodes (WSNs) have recently evolved to include a fair amount of computational power, so that advanced signal processing algorithms can now be embedded even in this extremely low-power platforms. An increasingly successful field of applicatio ...

IEEE Press2012

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