A method and system for rapid electrocardiographic identification

An identification and fast technology, which is applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of inability to verify in real time, fewer verification groups, and slow speed, so as to achieve rapid identification, avoid errors, and improve processing The effect of speed

Active Publication Date: 2020-10-02
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV +1
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Problems solved by technology

[0006] The purpose of the present invention is to propose a method and system for rapid electrocardiographic identification, so as to solve the technical problems of the above-mentioned prior art that there are few verification groups, real-time verification is not possible, and errors and slow speeds exist due to the need to use feature point detection.

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  • A method and system for rapid electrocardiographic identification
  • A method and system for rapid electrocardiographic identification
  • A method and system for rapid electrocardiographic identification

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Embodiment 1

[0039] In this embodiment, a system for ECG identification is provided, including preprocessing and segment extraction layers, a training module, a feature extractor, a classifier and a highest entropy voting module; the training module includes a fully automatic extraction training module and Classifier training module, in the present embodiment, classifier is preferably nonlinear classifier, certainly, also can select linear classifier according to situation, described automatic extraction module comprises automatic feature extraction layer and fully connected layer, described fully automatic The automatic feature extraction layer includes multiple convolutional layers and maximum pooling layers, and the feature extractor is a fully automatic feature extraction layer trained by the automatic feature extraction module.

[0040] In this embodiment, a real-time identity recognition method based on ECG signals is provided, and deep fusion features are automatically extracted acco...

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Abstract

The invention discloses a method and system for rapid electrocardiographic identification, wherein the method mainly includes a model training stage and a real-time testing stage. The present invention identifies and verifies personal identity information by collecting personal electrocardiographic signals, and belongs to In the field of biometric identification technology, first, any starting point position, any window larger than the length of a heartbeat, intercepts the ECG window, and divides each ECG window into fixed-length segments arbitrarily, and uses the fully automatic feature extraction layer to perform feature extraction; secondly , perform preliminary classification through a nonlinear classifier; then, generate a recognition result through the highest entropy voting; finally, realize fast ECG identity recognition through feature extraction and parallel processing of a nonlinear classifier, and the present invention does not require feature point detection and feature fusion , the identification speed is fast, and the ECG signal identification can be carried out in real time, and the verification crowd is wide.

Description

technical field [0001] The invention relates to the technical field of biological feature identification, in particular to a method and system for rapid electrocardiographic identification. Background technique [0002] Biometric identification mainly uses the physiological or behavioral characteristics of the human body to automatically realize the identification and authentication of personal identity. Traditional biometric identification methods mainly include fingerprints, palm prints, faces, irises, etc., especially fingerprint recognition and face recognition are very mature. In practical applications, fingerprint recognition has the disadvantages of being easy to forge and contact acquisition; the complexity, diversity and variability of palmprint recognition limit its application to a certain extent; face recognition is greatly affected by the collection of ambient light; iris Although the accuracy is high, it is difficult to collect. At the same time, traditional ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/02
CPCG06N3/02G06F2218/08G06F2218/12G06F18/25G06F18/259G06F18/253G06F18/214
Inventor 张跃雷夏飞张拓
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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