Method and system for rapid electrocardiograph identity recognition

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: 2018-03-06
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-me

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  • Method and system for rapid electrocardiograph identity recognition
  • Method and system for rapid electrocardiograph identity recognition
  • Method and system for rapid electrocardiograph identity recognition

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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 a system for the rapid electrocardiograph identity recognition. The method mainly comprises a model training stage and a real-time testing stage. According to theinvention, the identity information of an individual is recognized and verified by collecting the electrocardiograph signals of the individual, so that the method belongs to the technical field of biological characteristic identity recognition. According to the method, firstly, electrocardiograph windows are cut at any initial point position, wherein any window is larger than one heart beat length. Each electrocardiograph window is randomly divided into fixed-length fragments, and the characteristic extraction is conducted by utilizing a full-automatic characteristic extraction layer. Secondly, extracted characteristics are preliminarily classified by utilizing a non-linear classifier. Thirdly, a recognition result is generated through the highest entropy voting process. Finally, the rapidelectrocardiograph identity recognition is achieved through the parallel treatment of the characteristic extraction and the non-linear classifier. According to the invention, the detection of characteristic points and the fusion of characteristics are not required, so that the recognition speed is high. The electrocardiograph signal-based identity recognition can be carried out in real time, andthe 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 ...

Claims

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Application Information

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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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