Adventitious and Normal Lung Sounds in the General Population: Comparison of Standardized and Spontaneous Breathing

Jácome, Cristina; Aviles-Solis, Juan Carlos; Uhre, Åshild Myrnes; Pasterkamp, Hans; Melbye, Hasse

doi:10.4187/respcare.06121

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…For clarity, the study flowchart is depicted in Figure 3 . Representative spectrograms of the signals acquired via the Gili device (visual representations of frequency spectra as varied with time [ 26 ]) are depicted in Figure 4 .…”

Section: Resultsmentioning

confidence: 99%

A Contact-Free Optical Device for the Detection of Pulmonary Congestion—A Pilot Study

et al. 2022

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Background: The cost of heart failure hospitalizations in the US alone is over USD 10 billion per year. Over 4 million Americans are hospitalized every year due to heart failure (HF), with a median length of stay of 4 days and an in-hospital mortality rate that exceeds 5%. Hospitalizations of patients with HF can be prevented by early detection of lung congestion. Our study assessed a new contact-free optical medical device used for the early detection of lung congestion. Methods: The Gili system is an FDA-cleared device used for measuring chest motion vibration data. Lung congestion in the study was assessed clinically and verified via two cardiologists. An algorithm was developed using machine learning techniques, and cross-validation of the findings was performed to estimate the accuracy of the algorithm. Results: A total of 227 patients were recruited (101 cases vs. 126 controls). The sensitivity and specificity for the device in our study were 0.91 (95% CI: 0.86–0.93) and 0.91 (95% CI: 0.87–0.94), respectively. In all instances, the observed estimates of PPVs and NPVs were at least 0.82 and 0.90, respectively. The accuracy of the algorithm was not affected by different covariates (including respiratory or valvular conditions). Conclusions: This study demonstrates the efficacy of a contact-free optical device for detecting lung congestion. Further validation of the study results across a larger and precise scale is warranted.

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Section: Resultsmentioning

confidence: 99%

A Contact-Free Optical Device for the Detection of Pulmonary Congestion—A Pilot Study

et al. 2022

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“…Therefore, it would have been interesting to include additional recordings that better reflect individual lung lobes. Secondly, airflow was not standardized during the recording, while airflow and lung volume have a considerable impact on the generation of normal breath sounds as well as adventitious respiratory sounds [ 10 , 26 ]. It was decided to perform the recordings during spontaneous tidal breathing, as this approach is the most feasible in clinical practice.…”

Section: Discussionmentioning

confidence: 99%

Exploring the link between a novel approach for computer aided lung sound analysis and imaging biomarkers: a cross-sectional study

Lauwers,

Stas,

McLane

et al. 2024

Respir Res

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Background Computer Aided Lung Sound Analysis (CALSA) aims to overcome limitations associated with standard lung auscultation by removing the subjective component and allowing quantification of sound characteristics. In this proof-of-concept study, a novel automated approach was evaluated in real patient data by comparing lung sound characteristics to structural and functional imaging biomarkers. Methods Patients with cystic fibrosis (CF) aged > 5y were recruited in a prospective cross-sectional study. CT scans were analyzed by the CF-CT scoring method and Functional Respiratory Imaging (FRI). A digital stethoscope was used to record lung sounds at six chest locations. Following sound characteristics were determined: expiration-to-inspiration (E/I) signal power ratios within different frequency ranges, number of crackles per respiratory phase and wheeze parameters. Linear mixed-effects models were computed to relate CALSA parameters to imaging biomarkers on a lobar level. Results 222 recordings from 25 CF patients were included. Significant associations were found between E/I ratios and structural abnormalities, of which the ratio between 200 and 400 Hz appeared to be most clinically relevant due to its relation with bronchiectasis, mucus plugging, bronchial wall thickening and air trapping on CT. The number of crackles was also associated with multiple structural abnormalities as well as regional airway resistance determined by FRI. Wheeze parameters were not considered in the statistical analysis, since wheezing was detected in only one recording. Conclusions The present study is the first to investigate associations between auscultatory findings and imaging biomarkers, which are considered the gold standard to evaluate the respiratory system. Despite the exploratory nature of this study, the results showed various meaningful associations that highlight the potential value of automated CALSA as a novel non-invasive outcome measure in future research and clinical practice.

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Lung Disease Classification Based on Lung Sounds—A Review

Battu,

Khiran Kumar,

Kalaiselvi Geetha

2024

Studies in Computational Intelligence

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Adventitious and Normal Lung Sounds in the General Population: Comparison of Standardized and Spontaneous Breathing

Cited by 5 publications

References 36 publications

A Contact-Free Optical Device for the Detection of Pulmonary Congestion—A Pilot Study

A Contact-Free Optical Device for the Detection of Pulmonary Congestion—A Pilot Study

Exploring the link between a novel approach for computer aided lung sound analysis and imaging biomarkers: a cross-sectional study

Lung Disease Classification Based on Lung Sounds—A Review

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