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Electrocardiosignal identity identification method and electrocardiosignal identity identification device

An electrocardiographic signal and identification technology, applied in the field of electrocardiographic signal identification methods and devices, can solve the problems of low identification accuracy, improve identification accuracy, reduce human subjective factors, and achieve accurate electrocardiographic signal feature vectors. Effect

Active Publication Date: 2016-06-08
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a method and device for identifying an identity of an electrocardiogram signal, aiming to solve the problem that the accuracy rate of identifying an identity through an electrocardiogram signal is too low in the existing method

Method used

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  • Electrocardiosignal identity identification method and electrocardiosignal identity identification device
  • Electrocardiosignal identity identification method and electrocardiosignal identity identification device
  • Electrocardiosignal identity identification method and electrocardiosignal identity identification device

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Embodiment 1

[0026] figure 1 It shows a flow chart of an ECG signal identification method provided by the first embodiment of the present invention, and the details are as follows:

[0027] Step S11, receiving the ECG signal of the user.

[0028] In this step, the user's ECG signal is a stable ECG signal, for example, an ECG signal whose collection time is longer than 5 seconds or 20 seconds is determined as a stable ECG signal. It should be pointed out that, in order to correctly identify the identity of the received ECG signal, the beat type of the ECG signal to be identified should be the same as the beat type of the corresponding ECG template. Among them, types of heartbeat types include: sinus heartbeat, ventricular heartbeat, atrial heartbeat, and the like.

[0029] Step S12, generating a cardiac cycle according to the electrocardiographic signal.

[0030] Optionally, the generating a cardiac cycle according to the electrocardiographic signal specifically includes:

[0031] A1. P...

Embodiment 2

[0062] figure 2 It shows a structural diagram of an ECG signal identification device provided by the second embodiment of the present invention. The ECG signal identification device can be applied to a smart terminal, and the smart terminal can include a wireless access network RAN ​​and a or a plurality of core network communication user equipment, the user equipment can be a mobile phone (or called "cellular" phone), a computer with a mobile device, etc., for example, the user equipment can also be portable, pocket, hand-held, A mobile device built into a computer or mounted on a vehicle that exchanges voice and / or data with a wireless access network. For another example, the mobile device may include a smart phone, a tablet computer, a personal digital assistant PDA, a sales terminal POS, or a vehicle-mounted computer. For ease of description, only parts related to the embodiments of the present invention are shown.

[0063] The ECG signal identification device includes:...

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Abstract

The invention is suitable for the field of electrocardiosignal identification, and provides an electrocardiosignal identity identification method and an electrocardiosignal identity identification device. The electrocardiosignal identity identification method comprises the steps of receiving the electrocardiosignal signal of a user; generating a cardiac cycle according to the electrocardiosignal; comparing the generated cardiac cycle with a pre-generated cardiac cycle template, thereby defining a cardiac cycle template with highest similarity; selecting an electrocardiosignal characteristic vector in the electrocardiosignal through a deep learning network model, wherein the deep learning network model establishes a matching model based on a sparse self-coded feedforward back neural network; performing matching between the selected electrocardiosignal characteristic vector and the corresponding identity (ID) in the cardiac cycle template with highest similarity, thereby defining a corresponding identification probability vector; and defining the identity (ID) of the electrocardiosignal according to the identification probability vector. The electrocardiosignal identity identification method and the electrocardiosignal identity identification device can improve identification accuracy for the identity (ID).

Description

technical field [0001] The embodiments of the present invention belong to the field of electrocardiographic signal identification, and in particular relate to a method and device for identifying an electrocardiographic signal. Background technique [0002] Nowadays, people pay more and more attention to the confidentiality of personal information. With the development of society, the confidentiality of personal information has gradually shifted from traditional biometric identification to emerging biometric identification, such as gradually shifting from traditional biometric identification such as fingerprints and faces to biometric identification such as ECG signals. [0003] In the existing ECG signal identification method, the user usually selects the feature points of the ECG signal from the checked ECG signal, and then compares the selected feature points with the feature points of the ECG signal of the user's identity to judge Which user's ECG signal the checked ECG ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F21/32
CPCG06F21/32G06V40/10G06F2218/12
Inventor 尹丽妍李烨何晨光刘记奎虞素灵蔡云鹏樊小毛
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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