… the doctor uses the traditional auscultation technique. However, … Moreover, lung sounds are
non-stationary, complicating the … learning approaches for lung sounds classification. The first …

… In the literature, lung sound classification was made for a maximum of six classes. … Lung
sounds classification of healthy and pathologic lung sounds recorded with electronic auscultation…

… • Due to the lack of prior expert knowledge, we propose CNNs to automatically classify the
heart and lung sounds, with simple STFT features as the CNNs input. We also experimentally …

… cues could be useful in discriminating normal and crackle as well as wheeze and crackle
lung sounds. For this reason, we study IMFCC features in lung sound classification problem. …

… In this paper, we exploit spectral, temporal and spatial information for multi-channel lung
sounds classification. To this end, we present a multi-channel lung sound classification …

… Thus the lung sound classification system proposed in this paper uses db8 wavelet for time-…
lung sounds. 19-40-6 ANN architecture was found to be the optimum model for classification …

… The title of this article is partially redundant in that breath sound classification is the subject
of considerable controversy. For those with a dislike for semantic arguments, there are …

… approaches were used for lung sound classification. In the … ) classifier was used in classification
of the lung sounds. In the … ) via spectrogram images for lung sound classification. The …

… Lung sound auscultation is one of the most … sounds generated by the human body. Thus,
the aim of this study was to implement a pattern recognition system to classify lung sounds. …

… Figure 5 shows the GUI for the lung sound classification and … the lung sound waveform,
Area 2 is the lung sound file control button, Area 3 contains lung sound abnormal classification …