The Extraction of Ventricular Late Potentials Based on Sparse Component Analysis
- Resource Type
- Authors
- Hongyan Liu; Jian Wu; Jumin Zhao; Defeng Hao; Dengao Li
- Source
- Journal of Information and Computational Science. 10:4137-4144
- Subject
- business.industry
Physics::Medical Physics
Extraction (chemistry)
Pattern recognition
Library and Information Sciences
Computer Graphics and Computer-Aided Design
Signal
Independent component analysis
Blind signal separation
Matrix (mathematics)
Amplitude
Computational Theory and Mathematics
Mixing (mathematics)
Component analysis
cardiovascular diseases
Artificial intelligence
business
Information Systems
Mathematics
- Language
- ISSN
- 1548-7741
Blind source separation technology was applied to separate and extract different components from observed electrocardiograph signals. The electrocardiograph signal with ventricular late potentials presents the sparseness. Two-step approach of sparse component analysis was used in extraction of ventricular late potentials. An improved method of estimating the mixing matrix was proposed. It can improve estimation precision of mixing matrix about the source signals whose amplitudes have large difference in all or particular frequency bands, which realizes the source signal separation nondestructively. Simultaneously, the estimated signals are output in order solving the order uncertainty of independent component analysis. It is proved that sparse component analysis greatly enhances extraction precision of ventricular late potentials.