Recognition of heart rate variability signal using fuzzy associative memory pattern classifier.
- Author:
Junwen GAO
1
Author Information
1. Department of Electronics and Information, Guangdong AIB Polytechnic College, Guangzhou 510507, China.
- Publication Type:Journal Article
- MeSH:
Electrocardiography;
methods;
Fuzzy Logic;
Heart Rate;
Humans;
Pattern Recognition, Automated;
methods;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2007;24(1):36-38
- CountryChina
- Language:Chinese
-
Abstract:
We have designed the fuzzy associative memory pattern classifier (FAMPC) using multi-input and multi-output fuzzy set. It is adaptive to recognition of heart rate variability (HRV) signal, validity proved by many experiments.
