The coming era of a new auscultation system for analyzing respiratory sounds
Y Kim, YK Hyon, S Lee, SD Woo, T Ha… - BMC Pulmonary …, 2022 - Springer
Auscultation with stethoscope has been an essential tool for diagnosing the patients with
respiratory disease. Although auscultation is non-invasive, rapid, and inexpensive, it has …
respiratory disease. Although auscultation is non-invasive, rapid, and inexpensive, it has …
Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm
Diabetes mellitus is a disease commonly called Diabetes. Diabetes is among the most
frequent diseases globally. This disease affects internationally with different ailments and …
frequent diseases globally. This disease affects internationally with different ailments and …
Machine learning for automated classification of abnormal lung sounds obtained from public databases: a systematic review
Pulmonary auscultation is essential for detecting abnormal lung sounds during physical
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
Detection of respiratory sounds based on wavelet coefficients and machine learning
F Meng, Y Shi, N Wang, M Cai, Z Luo - IEEE Access, 2020 - ieeexplore.ieee.org
Respiratory sounds reveal important information of the lungs of patients. However, the
analysis of lung sounds depends significantly on the medical skills and diagnostic …
analysis of lung sounds depends significantly on the medical skills and diagnostic …
Accurate respiratory sound classification model based on piccolo pattern
Auscultation, or listening to body sounds with a stethoscope, is the most basic and
instructive part of the physical examination. Although it is a quick and effective way of …
instructive part of the physical examination. Although it is a quick and effective way of …
Rapid and scalable COVID-19 screening using speech, breath, and cough recordings
Over the course of the COVID-19 pandemic, efforts have been made to rapidly scale
diagnostic tests to increase access and throughput. Though the primary mechanism for …
diagnostic tests to increase access and throughput. Though the primary mechanism for …
Development of a novel wireless multi-channel stethograph system for monitoring cardiovascular and cardiopulmonary diseases
A multi-channel stethograph system was designed and developed as an electronic
auscultation system for graphic recording of heart, lung, and trachea (HLT) sounds non …
auscultation system for graphic recording of heart, lung, and trachea (HLT) sounds non …
Lung sound recognition method based on wavelet feature enhancement and time-frequency synchronous modeling
L Shi, Y Zhang, J Zhang - IEEE Journal of Biomedical and …, 2022 - ieeexplore.ieee.org
Lung diseases are serious threats to human health and life, therefore, an accurate diagnosis
of lung diseases is significant. The use of artificial intelligence to analyze lung sounds can …
of lung diseases is significant. The use of artificial intelligence to analyze lung sounds can …
Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention
This pioneering study aims to revolutionize self-symptom management and telemedicine-
based remote monitoring through the development of a real-time wheeze counting …
based remote monitoring through the development of a real-time wheeze counting …
Tunable Q-factor wavelet transform based lung signal decomposition and statistical feature extraction for effective lung disease classification
B Cansiz, CU Kilinc, G Serbes - Computers in Biology and Medicine, 2024 - Elsevier
The auscultation is a non-invasive and cost-effective method used for the diagnosis of lung
diseases, which are one of the leading causes of death worldwide. However, the efficacy of …
diseases, which are one of the leading causes of death worldwide. However, the efficacy of …