Our main objective was to elucidate the diagnostic potential of these parameters, which included embedding dimension (m), time delay (tau) and Lyapunov ...
Oct 16, 2007 · The goal of this study was to investigate state space parameters of the lung sounds of healthy subjects and subjects with symptoms of asthma ...
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Our main objective was to elucidate the diagnostic potential of these parameters, which included embedding dimension (m), time delay (τ) and Lyapunov exponents ...
Jun 14, 2011 · CLSA can provide a relatively high specificity for detecting abnormal lung sounds such as crackles and wheezes.
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Apr 15, 2024 · It is desired to apply deep learning models (DLMs) to assist physicians in distinguishing abnormal/normal lung sounds as quickly as possible ...
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This paper shows that the proposed approach renders an effective analysis of pulmonary sounds, with clinical correlations.
This paper demonstrates classification processes of normal and abnormal bioacoustics signals recorded over a human thorax which encompasses heart and lung ...
The goal of this study was to investigate state space parameters of the lung sounds of healthy subjects and subjects with symptoms of asthma under different ...
Apr 30, 2020 · This meta-analysis aims to evaluate the diagnostic accuracy of lung auscultation for the most common respiratory pathologies.
Missing: space parameters
Dec 1, 2021 · In this paper, we propose a methodology to automatically classify lung sounds associated with non-chronic and chronic categories.