Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues
Auscultation plays an important role in the clinic, and the research community has been
exploring machine learning (ML) to enable remote and automatic auscultation for respiratory …
exploring machine learning (ML) to enable remote and automatic auscultation for respiratory …
Automated detection of airflow obstructive diseases: a systematic review of the last decade (2013-2022)
Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
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 Xiao, 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 …
Review on pneumonia image detection: A machine learning approach
This paper surveys and examines how computer-aided techniques can be deployed in
detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …
detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …
Acoustic-based deep learning architectures for lung disease diagnosis: A comprehensive overview
AH Sfayyih, AH Sabry, SM Jameel, N Sulaiman… - Diagnostics, 2023 - mdpi.com
Lung auscultation has long been used as a valuable medical tool to assess respiratory
health and has gotten a lot of attention in recent years, notably following the coronavirus …
health and has gotten a lot of attention in recent years, notably following the coronavirus …
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 …
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 …
A review on lung disease recognition by acoustic signal analysis with deep learning networks
AH Sfayyih, N Sulaiman, AH Sabry - Journal of big Data, 2023 - Springer
Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …
viable thanks in considerable portion to technologies like deep learning and machine …
[HTML][HTML] A federated learning framework for pneumonia image detection using distributed data
Pneumonia is one of the serious diseases affecting the lungs. Yearly, over four million
people die on average. Therefore, it is essential to have an effective system for early …
people die on average. Therefore, it is essential to have an effective system for early …
HISET: Hybrid interpretable strategies with ensemble techniques for respiratory sound classification
SK Prabhakar, DO Won - Heliyon, 2023 - cell.com
The human respiratory systems can be affected by several diseases and it is associated with
distinctive sounds. For advanced biomedical signal processing, one of the most complex …
distinctive sounds. For advanced biomedical signal processing, one of the most complex …