Results 41 to 50 of about 1,083,600 (194)

Research on heart and lung sound separation method based on DAE–NMF–VMD

open access: yesEURASIP Journal on Advances in Signal Processing
Auscultation is the most effective method for diagnosing cardiovascular and respiratory diseases. However, stethoscopes typically capture mixed signals of heart and lung sounds, which can affect the auscultation effect of doctors.
Wenhui Sun, Yipeng Zhang, Fuming Chen
doaj   +1 more source

Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition

open access: yesFrontiers in Medicine, 2021
Respiratory sound (RS) attributes and their analyses structure a fundamental piece of pneumonic pathology, and it gives symptomatic data regarding a patient's lung.
Rizwana Zulfiqar   +5 more
doaj   +1 more source

Cadaver as a didactic tool for auscultating lung sounds

open access: yesCritical Care Innovations, 2019
INTRODUCTION: Lung auscultation is one of the basic physical examination tests both in the pre-hospital and hospital settings and should be performed on any patient who has problems with the respiratory system.
Paweł Bakalarski   +6 more
doaj   +1 more source

A survey on automated wheeze detection systems for asthmatic patients

open access: yesBiomolecules & Biomedicine, 2012
The purpose of this paper is to present an evidence of automated wheeze detection system by a survey that can be very beneficial for asthmatic patients.
Syamimi Mardiah Shaharum   +2 more
doaj   +1 more source

Pulmonary Disease Identification Based on Chest X-ray and Lung Sounds Using Deep Learning Techniques

open access: yes, 2022
In recent years there is heavy demand in healthcare systems due to COVID-19 pandemic. The COVID-19 will mainly cause the Lung infections , which affected the whole world very badly during last two years and still continues to affecting the world, this ...
Sanjeevakumar M. Hatture   +1 more
core   +1 more source

A multiresolution analysis for detection of abnormal lung sounds

open access: yes, 2012
Automated analysis and detection of abnormal lung sound patterns has great potential for improving access to standardized diagnosis of pulmonary diseases, especially in low-resource settings.
Elhilali, Mounya   +7 more
core   +1 more source

Classification and Recognition of Lung Sounds Based on Improved Bi-ResNet Model

open access: yesIEEE Access
Lung sound classification is an important diagnostic task in the medical field. By analyzing respiratory sounds, doctors can help diagnose various respiratory system diseases.
Chenwen Wu, Na Ye, Jialin Jiang
doaj   +1 more source

Sound‐guided assessment and localization of pulmonary air leak

open access: yesBioengineering & Translational Medicine, 2023
Pulmonary air leak is the most common complication of lung surgery, with air leaks that persist longer than 5 days representing a major source of post‐surgery morbidity.
Meghan R. Pinezich   +9 more
doaj   +1 more source

Back to the future: the novel art of digital auscultation applied in a prospective observational study of critically ill Covid-19 patients

open access: yesPneumonia
Background The Covid-19 pandemic has caused immense pressure on Intensive Care Units (ICU). In patients with severe ARDS due to Covid-19, respiratory mechanics are important for determining the severity of lung damage. Lung auscultation could not be used
Evangelos Kaimakamis   +13 more
doaj   +1 more source

A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model

open access: yesScientific Reports, 2023
Auscultation, a cost-effective and non-invasive part of physical examination, is essential to diagnose pediatric respiratory disorders. Electronic stethoscopes allow transmission, storage, and analysis of lung sounds.
Ji Soo Park   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy