A study of ECG combination detection algorithm based on wavelet transform and morphological method.
- Author:
Xiaogang LUO
1
;
Chenglin PENG
;
Xiaolin ZHEN
;
Xingming GUO
Author Information
1. Key Laboratory for Biomechanics & Tissue Engineering under the State Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Electrocardiography;
Humans;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2004;21(5):788-790
- CountryChina
- Language:Chinese
-
Abstract:
In order to deal with the disadvantages in ECG waveform detection by wavelet harr transform at level 3, we put forward a new set of algorithm which combines wavelet transform (WT) and morphological peak and valley detection. The combination algorithm can make up the limitation in detecting ECG swing by WT and improve the accuracy of ECG waveform detection effectively.
