Does wavelet-based segmentation and feature extraction of heart sound for intelligent PDA-based phonocardiography?
The results show that the wavelet-based segmentation algorithm is quite effective in localizing the important components of both normal and abnormal heart sounds. They also demonstrate that wavelet-based feature extraction provides suitable feature vectors which are clearly differentiable and useful for automatic classification of heart sounds.
Our study confirms that biliary reflux and non-acid reflux as detected by Bilitec and by IIM, respectively, are two distinct phenomena that require different techniques in order to be assessed in humans.