| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9728008 | Physica A: Statistical Mechanics and its Applications | 2005 | 9 Pages |
Abstract
An improved approximate entropy (ApEn) algorithm based on wave mode is proposed by analyzing and modifying ApEn, so that the irregular analysis can be applied to analyze the short-term series, which contain a great deal of detailed information and fluctuate slowly but in a wide range, such as high-frequency electrocardiogram (HFECG). By analyzing the complexity of HFECG, a conclusion can be drawn that ApEn algorithm based on wave mode can obviously distinguish heart diseases from the healthy group. Therefore, it is of significance for diagnosing myocardial infarction in time.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Xinbao Ning, Yinlin Xu, Jun Wang, Xiaofei Ma,