Electrocardiosignal identity recognition method based on PCA and LDA analysis and electrocardiosignal identity recognition system based on PCA and LDA analysis

Abstract

The invention provides an electrocardiosignal identity recognition method based on PCA and LDA analysis and an electrocardiosignal identity recognition system based on PCA and LDA analysis. The methodis characterized by comprising the steps that electrocardiosignals are acquired and preprocessed, wherein the ECG signals are acquired and denoised; the denoised ECG signals are acquired so as to perform R crest value point locating on the ECG signals, segment the cardiac beat to construct morphological feature vectors and acquire the corresponding feature vectors; PCA and LDA analysis is performed on the acquired feature vectors so as to obtain the final feature vectors to be recognized; and a training set cardiac beat feature database constructed by the final feature vectors to be recognized and a test set cardiac beat feature database are used, and the classifier is applied to perform matching verification so as to complete identity recognition. The beneficial effects of the method andthe system are that the signal feature dimension can be reduced, the calculation burden can be reduced for subsequent classification of the Softmax classifier and the classification accuracy can be enhanced, and the method and the system can be effectively applied to identity recognition based on the electrocardiosignals.

Description

technical field [0001] The invention relates to an electrocardiographic signal identification method and system based on PCA and LDA analysis, belonging to the field of computer multi-biological feature identification. Background technique [0002] At present, with the rapid development of network information technology, people have higher and higher requirements for the protection of personal information security. As a kind of information security technology, identification technology has become an essential application. Traditional identification methods, such as personal certificates and keys, are easily forgotten, stolen or forged by others, and are increasingly unable to meet people's daily needs. Biometric identification technology is a branch of pattern recognition, a new means of identification, and a technology that uses the inherent biological characteristics or behavioral characteristics of the human body to authenticate individual identities. Biometrics are the...

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Problems solved by technology

However, since the category label of the sample data does not participate in the dimensionality reduction of the principal components, and the characteristics of the classification task are independent, it may cause difficulties in classification, so the algorithm can be improved

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