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Novel multi-feature fusion electrocardio authentication method and system

A multi-feature fusion and authentication method technology, applied in digital data authentication, human identification, medical science, etc., to achieve the effect of data enhancement

Active Publication Date: 2019-09-24
HANGZHOU DIANZI UNIV
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Problems solved by technology

These two types of classical methods can only be limited to smaller data groups

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  • Novel multi-feature fusion electrocardio authentication method and system
  • Novel multi-feature fusion electrocardio authentication method and system
  • Novel multi-feature fusion electrocardio authentication method and system

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Embodiment Construction

[0070] The present invention will be further analyzed below in conjunction with the accompanying drawings of the description.

[0071] ECG authentication system with multi-feature fusion, specifically includes the following:

[0072] The preprocessing module preprocesses the collected ECG signals;

[0073] The Hilbert spectrogram generation module that generates ECG uses the EEMD algorithm to decompose the preprocessed ECG signal and then generate the Hilbert spectrogram;

[0074] The two-dimensional CNN authentication system takes the above-mentioned Hilbert spectrum as input, outputs the feature vector, and uses the Euclidean distance between it and the template as the matching score for authentication; the template is the feature vector obtained by the registration set through the trained optimization model;

[0075] The one-dimensional convolutional neural network authentication system takes the above-mentioned Hilbert spectrum as input, outputs the feature vector, and us...

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Abstract

The invention discloses a novel multi-feature fusion electrocardio authentication method. According to the novel multi-feature fusion electrocardio authentication method, multi-feature fusion of a Hilbert spectrum and a decision layer is firstly applied to the authentication method of the electrocardio, the Hilbert spectrum including integrated features of the time domain, the frequency domain and the energy of an electrocardio signal is selected and obtained through EEMD, Hilbert spectral transformation and Hilbert spectrum analysis, a two-dimensional CNN authentication system and a one-dimensional CNN authentication system are used for calculating corresponding matching scores for the electrocardio signal authentication, then the decision layer is merged to make the final authentication decision, and a complete electrocardio certification system with higher robustness and generalization capability is obtained.

Description

technical field [0001] The invention belongs to the field of medical signal processing, and in particular relates to an electrocardiographic authentication method and a system for multi-feature fusion of a convolutional neural network identification combined with a one-dimensional electrocardiogram signal and two-dimensional Hilbert spectrum. Background technique [0002] With the application of e-commerce, network security and electronic banking, the number of automatic identity authentication technologies has increased. Traditional identification and authentication methods, such as personal certificates, keys, ID cards and other methods based on cryptography, are easily stolen and forged. Therefore, researchers began to pay attention to the research of identification methods based on biological signals. The more common biological signals currently used for biometric authentication include face pictures, fingerprints, palm prints, and voice signals. These signals are stil...

Claims

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Application Information

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IPC IPC(8): A61B5/117A61B5/0402G06F21/32
CPCA61B5/117G06F21/32A61B5/7203A61B5/7264A61B5/7225A61B5/318
Inventor 赵治栋黄润新张烨菲邓艳军许开达
Owner HANGZHOU DIANZI UNIV
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