A Gurung, CG Scrafford, JM Tielsch, OS Levine… - Respiratory …, 2011 - Elsevier
… in automated classification of lung sounds among pulmonary researchers and has the potential to reduce software and hardware costs. Computerized lungsoundanalysis … lungsound …
… collectively in the context of LS analysis via digital signal processing (… LS analysis for detection of pulmonaryabnormalities, ie, COPD and pneumonia particularly and other related lung …
RLH Murphy, A Vyshedskiy, VA Power-Charnitsky… - Respiratory …, 2004 - rc.rcjournal.com
… continuous adventitious lungsound) was defined acoustically as an abnormalsound, present … an abnormal inspiratory or expiratory sound, present in at least 4% of the respiratory cycle, …
… signals acquired in the field under adverse noisy conditions, by improving the signal quality and offering automated identification of abnormal auscultations indicative of …
… The section is organised as follows: A summary of normal and abnormalbreathsounds is first given. This is followed by an outline of the limitations of conventional auscultation to …
JP Garcia-Mendez, A Lal, S Herasevich, A Tekin… - Bioengineering, 2023 - mdpi.com
… As mentioned earlier, this review focuses on studies that used abnormallungsound … update that highlights the advances in automaticlungsound classification during the last six years, …
… abnormalities and disorders in the lung. This paper provides a comprehensive review on computer‑based respiratorysoundanalysis … ‑based lungsoundanalysis and the lungsound …
DM Huang, J Huang, K Qiao, NS Zhong, HZ Lu… - Military Medical …, 2023 - Springer
… , enables the fully-automaticanalysis of lung sounds that may … algorithms used for lungsound analysis to emphasize the … machine learning tools for abnormallungsound detection [20]. …
… They are investigating the validity of pulmonary auscultation as a diagnostic method. … to automatically analyzelung sounds, and classify abnormal sounds found in audio files of …