Atrioventricular block detection method, apparatus and electronic equipment base on electrocardiograph signals

An atrioventricular block and electrocardiographic signal technology, which is applied in the directions of diagnostic signal processing, sensors, diagnostic recording/measurement, etc., can solve the problem of complex electrocardiogram identification, low detection accuracy, reliability and accuracy that are difficult to meet clinical diagnostic standards And other issues

Active Publication Date: 2019-12-03
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, since the recognition of atrioventricular block reflected on the ECG is relatively complicated, it is difficult to meet the clinical diagnostic standards in terms of reliability and accuracy onl

Method used

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  • Atrioventricular block detection method, apparatus and electronic equipment base on electrocardiograph signals
  • Atrioventricular block detection method, apparatus and electronic equipment base on electrocardiograph signals
  • Atrioventricular block detection method, apparatus and electronic equipment base on electrocardiograph signals

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Experimental program
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Embodiment 1

[0061] figure 1 It is a flowchart of an atrioventricular block detection method based on electrocardiographic signals provided in Embodiment 1 of the present application. The atrioventricular block detection method may specifically include the following steps:

[0062] Step S110, extract the signal waveform from the electrocardiographic signal.

[0063] In a specific implementation, multi-channel synchronous data can be used to collect human heart signals, background noise and electrocardiographic signals. More specifically, firstly, ECG signals can be collected through ECG leads and sensors, and the collected ECG signals can be subjected to impedance matching, filtering, amplification and other processing through analog circuits. Then, the analog signal of the physiological parameters of the human body is converted into a digital signal by an analog-to-digital converter. Then, the filtered ECG signal is obtained through a low-pass filtering technique. Finally, the signal w...

Embodiment 2

[0091] Figure 4 It is a flowchart of a method for detecting atrioventricular block provided in Embodiment 2 of the present application. Specifically, refer to Figure 4 , the atrioventricular block detection method of Example 2 of the present application, specifically comprising:

[0092] Step S210, collecting original electrocardiographic signals, and performing low-pass filtering on the original electrocardiographic signals to obtain high-frequency noise-filtered signals as the electrocardiographic signals.

[0093] In a specific implementation, a low-pass digital filter may be used for low-pass filtering to filter out high-frequency noise (such as above 300 Hz) to obtain the filtered ECG signal. Wherein, the low-pass digital filter may specifically be a Butterworth filter.

[0094] Step S220, extract the signal waveform from the ECG signal.

[0095] In a specific implementation, by performing low-pass filter preprocessing on the original ECG signal, the ECG signal can ...

Embodiment 3

[0203] Figure 5 It is a schematic structural diagram of an atrioventricular block detection device provided in Embodiment 3 of the present application. refer to Figure 5 The atrioventricular block detection device provided in the third embodiment specifically includes: a signal waveform extraction module 510, a block feature acquisition module 520, a block feature input module 530, and a signal type determination module 540, wherein:

[0204] The signal waveform extraction module 510 is used to extract the signal waveform from the ECG signal;

[0205] Block feature acquisition module 520, configured to acquire the atrioventricular block feature of the signal waveform; the atrioventricular block feature includes power spectral density correlation value, PR interval duration and PR interval variation parameters any one;

[0206] A block characteristic input module 530, configured to input the atrioventricular block characteristic to the detector;

[0207] The signal type d...

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Abstract

The invention relates to atrioventricular block detection method, apparatus and electronic equipment base on electrocardiograph signals. The atrioventricular block detection method comprises the following steps: extracting signal waveform from an electrocardiograph signal; acquiring an atrioventricular block characteristic of the signal waveform, wherein the atrioventricular block characteristic is any one selected from correlation value of power spectral density, PR interval duration and a PR interval variation parameter; inputting the atrioventricular block characteristic into a detector; and then, acquiring detection result outputted by the detector so as to obtain the signal type of the electrocardiograph signal, wherein the detection result is a result detected by the detector according to the atrioventricular block characteristic, and the signal type include atrioventricular block and non-atrioventricular block. Being adopted, the atrioventricular block detection method is capable of more accurately identifying atrioventricular block so as to avoid the condition that non-atrioventricular block is wrongly identified as atrioventricular block due to individual differences; andthus, accuracy of atrioventricular block detection is improved.

Description

technical field [0001] The present application relates to the field of medical devices and medical products, in particular to a method, device, electronic device and storage medium for detecting atrioventricular block based on electrocardiographic signals. Background technique [0002] Atrioventricular block (AVB) is a type of heart electrical conduction system block disease, mainly including first-order block, second-order block and third-pole block, and the block level is from atrium to ventricle. Conduction severity is determined, and this type of atrial-ventricular depolarization mismatch gives ECG changes, so AV block can be identified by ECG feature extraction. [0003] However, since the recognition of atrioventricular block reflected on the ECG is relatively complicated, it is difficult to meet the clinical diagnostic standards in terms of reliability and accuracy only by manually extracting a few features, combined with traditional machine learning methods. [0004...

Claims

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Application Information

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IPC IPC(8): A61B5/0402A61B5/04A61B5/0452A61B5/00
CPCA61B5/72A61B5/7282A61B5/316A61B5/349A61B5/318
Inventor 胡静
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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