Tonality detection methods for wheezes recognition system

In this paper a comparison of some known and new features used for signal tonality detection in pulmonary wheezes recognition systems is presented. In the article, the Tonal Index is compared to Kurtosis (K), Energy Ratio (ER), two types of correlation feature (CF), Difference to Mean ratio (D2M), Eigen Value Decomposi-tion feature (EVD) and Linear Prediction feature (LP). The analy-sis of efficiency related to complexity of descriptors is presented as well. Experiments have been conducted on artificially generated wheezes-like signals that have been embedded in real pulmonary noise (a hybrid signal) as well as on recorded real wheezes.