Results 1 to 10 of about 3,881 (164)

Digital stethoscope: technology update [PDF]

open access: yesMedical Devices: Evidence and Research, 2018
Supreeya Swarup,1 Amgad N Makaryus1,2 1Department of Cardiology, Nassau University Medical Center, East Meadow, NY, 2Department of Cardiology, Zucker School of Medicine at Hofstra/Northwell Health, Hempstead, NY, USA Abstract: Cardiovascular disease (CVD)
Swarup S, Makaryus AN
doaj   +7 more sources

Stethoscope with digital frequency translation for improved audibility [PDF]

open access: yesHealthcare Technology Letters, 2019
The performance of an acoustic stethoscope is improved by translating, without loss of fidelity, heart sounds, chest sounds, and intestinal sounds below 50 Hz into a frequency range of 200 Hz, which is easily detectable by the human ear. Such a frequency
Herbert M. Aumann, Nuri W. Emanetoglu
doaj   +5 more sources

Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring [PDF]

open access: yesSensors, 2019
One of the major causes of death all over the world is heart disease or cardiac dysfunction. These diseases could be identified easily with the variations in the sound produced due to the heart activity.
Muhammad E.H. Chowdhury   +6 more
doaj   +4 more sources

The future is more than a digital stethoscope. [PDF]

open access: yesEur Heart J Digit Health, 2021
We commend the authors for the accurate overview of cardiac auscultation techniques and differential diagnoses, as well as for offering a perspective of what the future of cardiac auscultation might hold. 1 Indeed, the evolution of the digital stethoscope has been impressive in recent years.
Falter M, Gruwez H, Young J.
europepmc   +5 more sources

Validation System for Digital Stethoscopes [PDF]

open access: yesCurrent Directions in Biomedical Engineering, 2019
Stethoscope auscultation is a diagnostic method widely used by medical professionals. With the introduction of digital stethoscopes, auscultation sound analysis has been objectified, which led to an increased interest in the field.
Klum Michael   +4 more
doaj   +2 more sources

End-user acceptability of a prototype digital stethoscope to diagnose childhood pneumonia- a qualitative exploration from Sylhet, Bangladesh

open access: yesBMC Digital Health, 2023
Background Considering the high frequency of respiratory infections among children in low- and middle-income countries (LMICs), the World Health Organization (WHO) developed a pragmatic guideline for managing pneumonia in low-resource settings.
Taufique Joarder   +11 more
doaj   +2 more sources

Detection of subclinical rheumatic heart disease in children using a deep learning algorithm on digital stethoscope: a study protocol [PDF]

open access: yesBMJ Open, 2021
Introduction Rheumatic heart diseases (RHDs) contribute significant morbidity and mortality globally. To reduce the burden of RHD, timely initiation of secondary prophylaxis is important.
Huzaifa Ahmad   +3 more
doaj   +2 more sources

Design and Fabrication of a Chitosan-Based Diaphragm Digital Stethoscope for Heart Sound Acquisition [PDF]

open access: yesMicromachines
Cardiac auscultation remains a widely used non-invasive method for assessing cardiac function; however, conventional acoustic stethoscopes are limited by subjective interpretation and lack of digital signal-handling capabilities.
MarĂ­a Claudia Rivas Ebner   +7 more
doaj   +2 more sources

Automated Detection of Reduced Ejection Fraction Using an ECG-Enabled Digital Stethoscope [PDF]

open access: yesJACC: Advances
Background: Asymptomatic left ventricular systolic dysfunction (ALVSD) affects 7 million globally, leading to delayed diagnosis and treatment, high mortality, and substantial downstream health care costs.
Ling Guo, PhD   +16 more
doaj   +2 more sources

Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform [PDF]

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2021
Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinically ...
John S. Chorba   +29 more
doaj   +2 more sources

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