Wheeze detection method based on spectrogram entropy analysis

A wheeze detecting method based on spectrogram entropy analysis was introduced.The power of wheeze is much higher than that of normal lungsounds,so the wheeze has clustering characteristics in terms of power distribution along frequency axis,which can be reflected by the entropy.This algorithm mainly comprises three steps which are the short-time Fourier transform (STFT) decomposition and detrend,the calculation of the spectrograms entropy and extraction of the features,and wheeze detection based on support vector machine (SVM).The step of detrending facilitates the difference of the features between wheeze and normal lung sounds.Moreover,compared with the original method,there is no uncertain decision any more.The result of the two testing experiments shows that the accuracy (AC) are 97.1%and 95.7%,respectively,which proves that this method could be an efficient way to detect wheeze.