… the diagnosis of lung sound. This paper highlights the importance of machine learning in
computer-based lung sound analysis. Articles on computer-based lung sound analysis using …

… We sought to perform a systematic review on computerized lung sound analysis and investigate
… of computerized lung sound analysis algorithms for detection of abnormal lung sounds …

… sound detection and classification are drastically improved [7] and studies … lung sound
analysis take advantage of this progression [16] [17]. With identified markers, lung sound analysis …

… lung sounds in patients with pneumonia and in asymptomatic controls. Computerized lung
sound analysis … We believe that the lung-sound data produced by our device will help to teach …

… To increase the understanding of deep learning-based lung sound analysis, … lung sound
analysis. This review, organized as shown in Fig. 1, outlines the system of lung sound analysis, …

… before and after bronchodilators, performed within four weeks of the lung sound recording. …
Analysis of the lung sounds for the amount of wheezing in the breath cycle correlated with the …

… used to enable dual,channel analysis, where the object of the analysis is the diff~ce bet'wecn
the right and left lung sound signals. The lung sound signals recorded were digitised with a …

… can easily generate over 10,000 separate sound files. It then becomes … data to improve the
accuracy of lung sound identification. … The lung sound data used for in this paper has all been …

… analysis of sound vibration energy, a direct correlate of the ventilation itself, instead of through
an analysis … The second finding, a greater sound intensity during exhalation in OAD is not …

… Indeed, pneumonia has been detected by computerized lung sound analyses that were
missed by … In summary, computerized analysis of lung sounds can play a very important role in …