Wavelet packet based respiratory sound classification

Wavelet packet based methods are used for detection of abnormal respiratory sounds. The associated signal is divided into segments, and a feature vector for classification is formed using the results of the search for the best wavelet packet decomposition. The classification is performed using learning vector quantization.