PMID: 8964130Mar 1, 1996Paper

Classification of lung sounds in patients with asthma, emphysema, fibrosing alveolitis and healthy lungs by using self-organizing maps

Clinical Physiology
L P MalmbergA R Sovijärvi

Abstract

The performance of the self-organizing map (SOM), an artificial neural network, was evaluated in the classification of lung sounds. Patients with asthma (n = 8), emphysema (n = 8) and fibrosing alveolitis (n = 8), and patients with healthy lungs (n = 8) were selected for the study. Fast Fourier transform (FFT) spectra from midinspiratory breath sounds recorded at the right lower lobe area were used to construct feature vectors in the learning and classification process of SOM. The sound segments did not contain wheezing sounds. The lung sounds of 25/32 (78%) patients were classified correctly, with an overall kappa (kappa) value of 0.71. The agreement between the clinical and proposed diagnoses based on classification of lung sounds was good among patients with emphysema (kappa = 0.92) and those with healthy lungs (kappa = 0.83), but only moderate among patients with asthma (kappa = 0.52) and fibrosing alveolitis (kappa = 0.54). This is due to the limitations in distinguishing breath sounds of asthmatics without wheezing sounds from those with crackles in fibrosing alveolitis by the spectral pattern alone. The results indicate that SOM based on FFT spectra is potentially useful in the classification of lung sounds, e.g. in heal...Continue Reading

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Citations

Mar 1, 1995·Medical & Biological Engineering & Computing·T RosqvistA Sovijärvi
Jul 30, 2005·Journal of Medical Systems·Inan GülerUçman Ergün
Nov 30, 2004·Computers in Biology and Medicine·Emin Cagatay GülerSarunas Raudys
Jun 23, 2012·Allergology International : Official Journal of the Japanese Society of Allergology·Yukio Nagasaka
Jul 14, 2012·Medical Engineering & Physics·Daniel F PonteAdriano M Alencar
Oct 9, 2008·Journal of Cross-cultural Gerontology·Myrna SilvermanSteve Albert
Aug 22, 2008·AJR. American Journal of Roentgenology·Mordechai YiglaJ Mark Madison
Oct 12, 2013·Biomedizinische Technik. Biomedical Engineering·Rajkumar PalaniappanSebastian Sundaraj

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