An application of wavelet theory to electrocardiograms singular points analysis

  • Nguyễn Hữu Trung

Abstract

In recent years, wavelet transform-based algorithmshave been developed and successful in the signal processing in many areas since the wavelet transform is a useful and powerful tool for analysing signals in both transient and stationary  intervals. In this paper, a report is made on an application  of  the  mentioned  capability  of  wavelet  transform  for  grasping  subtle  changes  and discontinuities in electrocardiogram (ECG) signals.From the signal processing point of view, it shows that the diagnostic of ECG signals is carriedout by excluding any recognised abnormality as  singular  points  or  irregular  structures.  For  analyzing  purpose,  wavelet  footprints  are characterized  by  scale-space  vectors  in  a  discrte  model  by  discontinuing  signals  in  piecewise polynominal. And a focus is made on applications offetal ECG detection from maternal ECG.

điểm /   đánh giá
Published
2014-10-08
Section
Articles