Deep learning-based lung sound analysis for intelligent stethoscope
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
Using machine learning for early detection of chronic obstructive pulmonary disease: A narrative review
X Shen, H Liu - Respiratory Research, 2024 - Springer
Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory disease and ranks
third in global mortality rates, imposing a significant burden on patients and society. This …
third in global mortality rates, imposing a significant burden on patients and society. This …
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 …
Deep learning on computerized analysis of chronic obstructive pulmonary disease
Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the
world. Because COPD is an incurable disease and requires considerable time to be …
world. Because COPD is an incurable disease and requires considerable time to be …
[HTML][HTML] Limestone: High-throughput candidate phenotype generation via tensor factorization
The rapidly increasing availability of electronic health records (EHRs) from multiple
heterogeneous sources has spearheaded the adoption of data-driven approaches for …
heterogeneous sources has spearheaded the adoption of data-driven approaches for …
Abnormal respiratory sounds classification using deep CNN through artificial noise addition
Respiratory sound (RS) attributes and their analyses structure a fundamental piece of
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …
Automated classification of lung sound signals based on empirical mode decomposition
SI Khan, RB Pachori - Expert Systems with Applications, 2021 - Elsevier
Chronic obstructive pulmonary disease (COPD) is a chronic non-reversible lung disease.
Other acute respiratory illness due to infections are termed as non-chronic. In general, the …
Other acute respiratory illness due to infections are termed as non-chronic. In general, the …
LF-SegNet: A fully convolutional encoder–decoder network for segmenting lung fields from chest radiographs
Segmentation of lung fields is an important pre-requisite step in chest radiographic computer-
aided diagnosis systems as it precisely defines the region-of-interest on which different …
aided diagnosis systems as it precisely defines the region-of-interest on which different …
Chronic obstructive pulmonary disease severity analysis using deep learning onmulti-channel lung sounds
Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases which
cannot be treated but can be kept under control in certain stages. COPD has five severities …
cannot be treated but can be kept under control in certain stages. COPD has five severities …
Deep learning with 3D-second order difference plot on respiratory sounds
The second order difference plot (SODP) is a nonlinear signal analysis method that
visualizes two consecutive data points for many types of biomedical signals. The proposed …
visualizes two consecutive data points for many types of biomedical signals. The proposed …