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- W2904263609 abstract "Abstract Objective: To determine whether the severity of Chronic Obstructive Pulmonary Disease (COPD) can be estimated by the variation of the area in a graph of a patient’s respiratory sounds intensities and frequencies. Methods: A study was carried out among 51 COPD patients and seven healthy non-smokers. The respiratory sounds made by each participant were recorded with a stethoscope attached to a microphone. The spectral density of each sound was determined by the short-time Fourier transform (STFT) followed by normalization, interpolation, the calculation of area of the graph of sound intensity and frequencies and, finally, the calculation of graph area differences between healthy individuals and COPD patients. Results: 100% accurate for true positive indicator for acoustic signals without the presence of abnormal sounds. For acoustic signals with abnormal sounds, the same indicator, true positive, the results were: 75% for mild COPD, 86.6% for moderate COPD, 69.2% for severe COPD, 84.5% for very severe COPD. Conclusions: It is possible to estimate the severity of COPD using spectral density when the predominant disease is emphysema. In cases of chronic bronchitis, investigation is required. If the patient is stable without wheezing, he could be included in the evaluation criteria for this study." @default.
- W2904263609 created "2018-12-22" @default.
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- W2904263609 date "2018-01-01" @default.
- W2904263609 modified "2023-09-24" @default.
- W2904263609 title "Algorithm to estimate the severity of Chronic Obstructive Pulmonary Disease using Acoustic Signals." @default.
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- W2904263609 doi "https://doi.org/10.1016/j.ifacol.2018.11.624" @default.
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