Automatic adventitious respiratory sound analysis: A systematic review
Background Automatic detection or classification of adventitious sounds is useful to assist
physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive …
physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive …
[PDF][PDF] Semi-supervised learning: A brief review
Most of the application domain suffers from not having sufficient labeled data whereas
unlabeled data is available cheaply. To get labeled instances, it is very difficult because …
unlabeled data is available cheaply. To get labeled instances, it is very difficult because …
[HTML][HTML] Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning
Auscultation has been essential part of the physical examination; this is non-invasive, real-
time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is …
time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is …
Automated lung sound classification using a hybrid CNN-LSTM network and focal loss function
Respiratory diseases constitute one of the leading causes of death worldwide and directly
affect the patient's quality of life. Early diagnosis and patient monitoring, which …
affect the patient's quality of life. Early diagnosis and patient monitoring, which …
An open access database for the evaluation of respiratory sound classification algorithms
Objective: Over the last few decades, there has been significant interest in the automatic
analysis of respiratory sounds. However, currently there are no publicly available large …
analysis of respiratory sounds. However, currently there are no publicly available large …
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease
A Srivastava, S Jain, R Miranda, S Patil… - PeerJ Computer …, 2021 - peerj.com
In recent times, technologies such as machine learning and deep learning have played a
vital role in providing assistive solutions to a medical domain's challenges. They also …
vital role in providing assistive solutions to a medical domain's challenges. They also …
Α respiratory sound database for the development of automated classification
The automatic analysis of respiratory sounds has been a field of great research interest
during the last decades. Automated classification of respiratory sounds has the potential to …
during the last decades. Automated classification of respiratory sounds has the potential to …
Addressing fairness, bias, and appropriate use of artificial intelligence and machine learning in global health
In Low-and Middle-Income Countries (LMICs), machine learning (ML) and artificial
intelligence (AI) offer attractive solutions to address the shortage of health care resources …
intelligence (AI) offer attractive solutions to address the shortage of health care resources …
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 …
Electret-based flexible pressure sensor for respiratory diseases auxiliary diagnosis system using machine learning technique
X Li, B Qi, X Wan, J Zhang, W Yang, Y **ao, F Mao… - Nano Energy, 2023 - Elsevier
Respiratory diseases have been increasingly affecting people worldwide, posing a major
public health challenge due to rising morbidity and mortality rates. Subtle abnormal …
public health challenge due to rising morbidity and mortality rates. Subtle abnormal …