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Signal identification method, device, device and storage medium

A technology of signal identification and electrocardiographic signal, which is applied in the field of signal processing, can solve the problems of inaccurate judgment results and single judgment standard, and achieve the effect of convenient and accurate extraction, improving speed and accuracy, and eliminating high-frequency noise

Active Publication Date: 2021-03-23
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, the irregularity of the RR interval is used as a standard to judge whether atrial fibrillation has occurred. However, the absolute irregularity of the RR interval is also one of the manifestations of other heart rhythm signals
Judgment criteria are single, leading to inaccurate judgment results

Method used

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  • Signal identification method, device, device and storage medium
  • Signal identification method, device, device and storage medium
  • Signal identification method, device, device and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0028] Figure 1A For a flowchart of a signal identification method according to an embodiment of the present invention, the present embodiment can be applied to the case where the signal to be detected, the method can be performed by the signal identification device provided by the embodiment of the present invention, the device can use software. And / or hardware. reference Figure 1A This method can include the following steps:

[0029] S110, the first feature parameter of the electrocardiogram is designed, wherein the first feature parameter is obtained for the calculation of the order sample satisfying the set condition.

[0030] Specifically, after the electrocardiogram is obtained, the first feature parameter is designed, wherein the wave sequence satisfying the setting condition may include: a sequence of P-wave sequences and PR interpolar, and then set up. Optionally, the first feature parameter may be the statistical feature of ECG, and the set calculation can be the ma...

Embodiment 2

[0058] figure 2 A flow chart of a signal identification method according to Embodiment 2 of the present invention, the present embodiment is implemented on the basis of the above embodiment, wherein the first feature parameter comprises a difference parameter of the P-wave sequence, a variation parameter of the P-wave sequence. And PR interval variability parameters. reference figure 2 This method can include the following steps:

[0059] S210, calculate the difference between the maximum value of the signal amplitude in the P-wave sequence and the minimum value of the signal amplitude to obtain the difference parameters of the P-wave sequence.

[0060] Specifically, p (i, j) represents a P-wave sequence, i represents the number of samples of the P-wave sequence, and j represents the first sample of the P-wave sequence, and the PD (I) represents the difference parameters of the P-wave sequence, M. j AX {p (i, j)} represents the maximum value of the signal amplitude in the P-wav...

Embodiment 3

[0075] image 3 It is a schematic structural diagram of a signal identification apparatus according to Embodiment 3 of the present invention, which is suitable for performing a signal identification method provided by the embodiment of the present invention. Such as image 3 As shown, the apparatus can include:

[0076] The first design module 310 is used to design a first feature parameter of an electrocarda signal, wherein the first feature parameter is calculated to be set by a wave sequence sample satisfying the setting condition;

[0077] The second design module 320 is configured to design the second feature parameter of the cardinal signal, wherein the second feature parameter is processed to the interval characteristics of the cardiogram signal;

[0078] Model build module 330 for training the first feature parameter and the second feature parameter as the identification feature parameter, construct depth neural network model;

[0079] The signal identification module 340...

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Abstract

The embodiment of the invention discloses a signal identifying method and device, equipment and a storage medium. The method comprises the steps that a first characteristic parameter of an electrocardiographic signal is designed, wherein the first characteristic parameter is obtained by performing set operation on a wave sequence sample meeting a set condition; a second characteristic parameter ofthe electrocardiographic signal is designed, wherein the second characteristic parameter is obtained by processing a wave interval characteristic of the electrocardiographic signal; the first characteristic parameter and the second characteristic parameter are trained as identification characteristic parameters to construct a deep neural network model; a to-be-detected signal is input into the deep neural network model to be trained, so that the to-be-detected signal is identified. The method is used for signal recognition, and improves the speed and accuracy of signal identification.

Description

Technical field [0001] The present invention relates to signal processing techniques, and more particularly to a signal identification method, apparatus, device, and storage medium. Background technique [0002] The atrial fibrillation referred to as atrial fibrillation is the most common period of arrhythmia, reducing the incidence and mortality rate of atrial fibrillation. It has important clinical significance and social significance. [0003] In the process of implementing the present invention, the inventors have found that there is at least the following problems in the prior art. In the prior art, the RR interval is not ruled as a standard to determine whether the atrial fibril is episode, however, the alternative irregular irregularity is also one of the performance of other arrhythm signals. Judgment the standard single, resulting in inaccurate the results. Inventive content [0004] Embodiments of the present invention provide a signal identification method, apparatus,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/318
CPCA61B5/7264A61B5/318
Inventor 胡静
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD