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Atrial-fibrillationartificial intelligenceidentification method and device containing heterotopicheartbeat judgment

A technology of artificial intelligence and recognition method, which is applied in the field of biomedical signal processing, can solve problems such as sinus rhythm electrocardiogram misdiagnosis, RR interval numerical interference, etc., and achieve the effect of improving recognition accuracy, reducing calculation amount, and reducing misdiagnosis rate

Active Publication Date: 2019-04-16
SHANGHAI SID MEDICAL CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide an artificial intelligence identification method and device for atrial fibrillation including ectopic heartbeat judgment, aiming at solving the problem that the RR interval value may be affected when the electrocardiogram includes ectopic heartbeat in the prior art. Interference, a problem that leads to misdiagnosed sinus rhythm ECG

Method used

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specific Embodiment 1

[0067] The following predetermined parameters in the embodiments of the present invention are all obtained by the inventor through a large number of experiments or by virtue of his own experience. The embodiments of the present invention do not limit the specific values ​​of these parameters. Preferably, they can be as follows: The first predetermined time is 10 seconds; the predetermined value is 0.5; the second predetermined time is 0.06 seconds; the predetermined ratio is 25%; the third predetermined time is 0.12 seconds; the predetermined multiple is 0.2 times; the first predetermined number is 4066, and the second predetermined number is 4066.

[0068] Select 8132 pieces of single-lead ECG data provided by a hospital as the ECG signals to be processed, such as figure 1 As shown, the embodiment of the present invention provides an artificial intelligence identification method for atrial fibrillation including ectopic heartbeat judgment, which includes the following steps. ...

specific Embodiment 2

[0097] Such as Image 6 As shown, the embodiment of the present invention provides an artificial intelligence identification device for atrial fibrillation including ectopic heartbeat judgment, including:

[0098] The first module is used to: extract a part of the first predetermined time from a certain electrocardiographic signal; use the R wave extraction algorithm to determine the position of each R wave peak in the intercepted electrocardiographic signal in the electrocardiographic signal sequence position r i ;

[0099]The second module is used to: differentiate the position sequence of the R wave crest obtained by the first module, and calculate several RR intervals rr i ;

[0100] The third module is used for: extracting the R wave peak position r obtained according to the first module i , using a method based on mean filtering and wavelet decomposition to determine the suspected P wave peak position p that appeared before the R wave i and the suspected T wave peak...

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Abstract

The invention discloses an atrial-fibrillationartificial intelligenceidentification method and device containing heterotopicheartbeat judgment. As for a single leadelectrocardiogram with the length larger than 10 s, an atrial-fibrillation automatic identification method containing heterotopicheartbeat correcting is used, and the misdiagnosis rate is reduced. The method includes the steps that RR intervals of electrocardiosignals are extracted, whether heterotopicheartbeat exists or not is judged and corrected, then the RR intervals are counted, and finally, the RR intervals are classified through the neural network. The atrial-fibrillationartificial intelligenceidentification method is simple, the calculated amount is few, and the method is easy to achieve on hardware; compared with a traditional atrial-fibrillationidentification method based on RR intervals, the identification accuracy rate of heterotopicheartbeat is high, the misdiagnosis rate of electrocardiosignals containing heartbeat such as atrial premature beat and ventricular premature beat can be effectively decreased, and the identificationaccuracy rate is increased.

Description

technical field [0001] The invention relates to the technical field of biomedical signal processing, in particular to an artificial intelligence identification method and device for atrial fibrillation including ectopic heartbeat determination. Background technique [0002] Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, affecting approximately 33.5 million people worldwide. Although atrial fibrillation is not fatal, it may lead to the formation of blood clots and increase the risk of stroke. Clinically, the twelve-lead ECG monitoring instrument is generally used for monitoring: first, the ECG signals (Electrocardiogram, ECG) of multiple leads are collected, and then the doctor judges whether the ECG signal represents atrial fibrillation ECG according to the characteristics of the ECG signal. signal to judge. However, relying on manual judgment is time-consuming and labor-intensive, and is also subject to the level of doctors. Therefore, about 30%...

Claims

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0468A61B5/364
CPCA61B5/7225A61B5/7267A61B5/318A61B5/364
Inventor 朱俊江张德涛伍尚实杨潞潞陈广怡
Owner SHANGHAI SID MEDICAL CO LTD
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