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Method and system for identifying arrhythmia

A technology for arrhythmia and heart rhythm, which is applied in the field of arrhythmia discrimination methods and systems, can solve problems such as daily abnormal heart rhythm self-monitoring, diagnosis and management, and achieve the effect of small calculation, low algorithm complexity and high efficiency

Active Publication Date: 2019-12-31
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The technical problem mainly solved by the present invention is that the current conventional electrocardiogram and dynamic electrocardiogram technology cannot realize the self-monitoring, diagnosis and management of daily abnormal heart rhythm

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  • Method and system for identifying arrhythmia
  • Method and system for identifying arrhythmia
  • Method and system for identifying arrhythmia

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Embodiment 1

[0018] Embodiment 1 of the present invention: Please refer to figure 1 , a method for discriminating arrhythmia, which includes steps A000 to A200, specifically described below:

[0019] A000: Obtain the ECG signal of the person to be detected.

[0020] A100: Calculate the characteristic index of ECG signal.

[0021] A200: Obtain the arrhythmia discrimination result according to the characteristic index of the ECG signal.

[0022] In one embodiment, the calculation of the characteristic index of the electrocardiographic signal in step A100 includes: performing linear analysis on the pRRx sequence of the electrocardiographic signal to obtain one or more linear characteristic indexes, and / or performing nonlinear analysis to obtain Get one or more nonlinear feature metrics. The pRRx sequence of any segment of the ECG signal is calculated by the following method: calculate the ratio of the number of adjacent RR intervals in the segment of the ECG signal greater than the thresho...

Embodiment 2

[0053] Embodiment two: a kind of arrhythmia discrimination system, such as image 3 As shown, including the ECG signal acquisition device B00 and the processor B10, the specific description is as follows:

[0054] The electrocardiographic signal collection device B00 is used to collect the electrocardiographic signal of the person to be detected;

[0055] The processor B10 is configured to execute the arrhythmia discrimination method described in any one of the above embodiments. For example, the processor B10 may calculate one or more characteristic indexes of the electrocardiographic signal according to the electrocardiographic signal, and judge arrhythmia according to the characteristic indexes of the electrocardiographic signal. On the other hand, the processor B10 can pre-establish the model function of the corresponding relationship between the characteristic index of the electrocardiographic signal and the type of cardiac rhythm state, and input the characteristic inde...

Embodiment 3

[0056] Embodiment three: a kind of arrhythmia discrimination product C00, such as Figure 4 As shown, including the memory C01 and the processor C02, the following details:

[0057] Memory C01, used to store programs;

[0058] The processor C02 is configured to implement the arrhythmia discrimination method described in any one of the above embodiments by executing the program stored in the memory. For example, the processor C02 executes the program stored in the memory C01, and can calculate one or more characteristic indexes of the electrocardiographic signal according to the characteristic indexes of the electrocardiographic signal, and judge arrhythmia according to the characteristic indexes of the electrocardiographic signal. On the other hand, the program stored in the memory C01 can also be used to pre-establish the model function of the corresponding relationship between the characteristic index of the ECG signal and the type of cardiac rhythm state, and input the cha...

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Abstract

The invention discloses an arrhythmia judging method and an arrhythmia judging system. According to the method and the system, by acquiring electrocardiogram signals and pRRx sequences corresponding to the electrocardiogram signals, and implementing linear analysis and / or non-linear analysis on the pRRx sequences, corresponding characteristic indexes are obtained, machine learning is implemented by taking the characteristic indexes which are calculated out and corresponding arrhythmia types as inputs and labels, and based upon training, a model function of a corresponding relation between thecharacteristic indexes of the electrocardiogram signals and the types of heart rhythm statuses is obtained; an arrhythmia type of some time point can be detected out and obtained through the model function by acquiring electrocardiogram signals before the time point and by implementing calculating and in accordance with the characteristic indexes of the electrocardiogram signals, and the arrhythmia type is taken as an arrhythmia judging result. In comparison with the prior art, the arrhythmia judging method and the arrhythmia judging system can be used for automatically judging whether arrhythmia occurs or not and specific arrhythmia types; and moreover, the method is relatively low in computing amount in a judging process, low in algorithm complexity degree and high in efficiency.

Description

technical field [0001] The invention relates to the technical field of arrhythmia discrimination, in particular to a method and system for arrhythmia discrimination. Background technique [0002] Rhythm refers to the rhythm of the heartbeat. The heartbeat of a normal person is a signal from the sinoatrial node to stimulate the heartbeat. This heartbeat caused by the signal from the sinoatrial node is called a normal "sinus rhythm", and the frequency is about 60 to 100 times per minute. The number of heartbeats per minute, or heart rate. A healthy heart rhythm should be very uniform. When heart disease or cardiac nerve regulation is not normal, arrhythmia or arrhythmia can occur. Arrhythmia is one of the most common and serious diseases of cardiovascular disease, which can lead to sudden death of patients and seriously threaten human health. [0003] At present, the main means of clinical diagnosis of arrhythmia is electrocardiogram detection, which is divided into convent...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/20
CPCA61B5/7235A61B5/7257A61B5/316A61B5/318
Inventor 李冉王新安刘彦伶赵天夏李秋平马浩孙贺陈红英何春舅
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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