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Heart beat classification method and device for multi-label labeling of electrocardiosignals

A classification method and electrocardiographic signal technology, applied in the field of signal processing, can solve problems such as small sample size and conflict, and achieve the effect of improving classification performance

Pending Publication Date: 2020-06-12
SHANGHAI LEPU CLOUDMED CO LTD
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Problems solved by technology

This method solves the problem that there may be conflicts in single-label representations, and the problem of too few samples caused by compound labeling of diseases, and effectively improves the classification performance of the system

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  • Heart beat classification method and device for multi-label labeling of electrocardiosignals
  • Heart beat classification method and device for multi-label labeling of electrocardiosignals
  • Heart beat classification method and device for multi-label labeling of electrocardiosignals

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Embodiment Construction

[0044] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0045] The heart beat classification method for multi-label labeling of ECG signals provided by the embodiment of the present invention can be used for heart beat classification of multi-label labeling of ECG signals combined with a cardiac excitation conduction model. figure 1 A schematic diagram of the heart excitation conduction system provided for the embodiment of the present invention, combined below figure 1 As mentioned above, the cardiac excitation conduction system will be described first.

[0046] The excitation that occurs in the heart is conducted to the inside of the heart sequentially through the sinoatrial node→atrium→atrioventricular junction (atrioventricular node+His bundle)→bundle branch→Purkinje fibers. This pathway consists of specialized cardiomyocytes that are autonomous, called the agonist con...

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Abstract

The embodiment of the invention relates to a heart beat classification method and device for multi-label labeling of electrocardiosignals, and the method comprises the steps: obtaining a heart beat time sequence, carrying out the data cutting of the heart beat time sequence, and obtaining a plurality of groups of data segments of multi-lead heart beat data; inputting the data fragments into a trained multi-label classification model; wherein the multi-label classification model comprises a feature extraction module, a full connection layer and a Sigmoid activation function layer; the feature extraction module performs feature extraction on the sent data fragments to obtain high-dimensional embedded information including information of heart beat types corresponding to each group of data fragments; sending the high-dimensional embedded information into a full connection layer, and outputting the high-dimensional embedded information as a one-dimensional vector [1, N], wherein N is the number of heart beat categories of the data fragments; inputting the one-dimensional vector [1, N] into a Sigmoid activation function layer, and outputting probability values of a category number and heart beat categories; and determining whether the probability value exceeds a threshold value of a set probability, and outputting the heart beat category of which the probability value exceeds the threshold value of the set probability as a heart beat classification result.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a heart beat classification method and device for multi-label labeling of electrocardiographic signals. Background technique [0002] Cardiovascular disease is one of the main diseases that threaten human health, and the use of effective means to detect cardiovascular disease is an important topic of concern worldwide. [0003] Electrocardiography (ECG) is the main method for diagnosing cardiovascular diseases in modern medicine. Using ECG to diagnose various cardiovascular diseases is essentially a process of extracting ECG characteristic data to classify ECG. [0004] If a sample for classification only belongs to a specific category, then it is a traditional single-label classification problem. However, in most classification tasks, an instance may contain multiple categories of information at the same time, so the determination of the heartbeat classification of EC...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08A61B5/0402A61B5/00
CPCG06N3/084A61B5/7267A61B5/318G06N3/045G06F18/2415G06F18/24317A61B5/364A61B5/366A61B5/363A61B5/35G06F2218/00G06N3/048G06N3/09G06N7/01G16H50/70
Inventor 王斌刘畅
Owner SHANGHAI LEPU CLOUDMED CO LTD
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