Human Identification Based on ECG with Wavelet Decomposition and Data Fusion Method
- VernacularTitle:基于小波分解和数据融合方法的ECG身份识别
- Author:
Xianglin YANG
;
Hong YAN
;
Yanjun LI
;
Li WEI
;
Jixiang SUN
- Publication Type:Journal Article
- Keywords:
ECG;
human identification;
wave feature;
wavelet feature;
fusion feature;
correlation coefficient
- From:Space Medicine & Medical Engineering
2006;0(04):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective A new method is researched based on ECG for human identification.Methods Three features of wave feature,wavelet feature,fusion feature were selected as the feature vectors for 35 normal subject ECGs,and correlation coefficient discriminate analysis was used for human identification. Results The other 40 sessions from 35 subjects were used for verifying the accuracy of each feature.They were 82.5%、87.5% and 95% respectively for wave feature,wavelet feature and fusion feature. ECG wavelet feature outperformed ECG wave feature. While ECG fusion feature performed better than either feature. Conclusion The verification experiment demonstrates that the technology of human identification based on ECG is feasible. ECG can be combined with other biometric features such as fingerprint for developing the multi-biometric identification system. The method proposed in this paper is simple,real-time and exact for human identification.
