Electrocardiogram (ECG) signal classification method and device

A technology of ECG signal and classification method, which is applied in medical science, sensors, diagnostic recording/measurement, etc. It can solve problems such as limited classification types, no ECG signal classification, and chaotic definition of arrhythmia types, so as to improve accuracy, Reduce the effect of incompleteness

Inactive Publication Date: 2017-06-09
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

[0013] The present invention provides a method and device for classifying electrocardiographic signals, aiming to solve the problem of limited classification types of existing electrocardiographic signal arrhythmia classification methods, confusion in the definition of arrhythmia types, and no classification of electrocardiographic signals through deep learning. technical problem

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  • Electrocardiogram (ECG) signal classification method and device
  • Electrocardiogram (ECG) signal classification method and device
  • Electrocardiogram (ECG) signal classification method and device

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[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] see figure 1 , is a flowchart of a method for classifying ECG signals according to an embodiment of the present invention. The electrocardiographic signal classification method of the embodiment of the present invention comprises the following steps:

[0040] Step 100: Select data samples of ECG signals through the sample database, and perform denoising processing on the selected data samples;

[0041]In step 100, the embodiment of the present invention adopts the MIT-BIH arrhythmia database as the sample database to select data samples of ECG signals. The MIT-BIH arrhythmia database is jo...

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Abstract

The invention relates to the technical field of ECG analysis and in particular relates to an ECG signal classification method and device. The ECG signal classification method comprises the following steps: a, segmenting the ECG signal, and respectively acquiring training set data and test set data; b, performing model training on the training set data through deep learning, and constructing a prediction classification model; and c, performing ECG signal classification on the test set data through the prediction classification model. According to the embodiment of the invention, the training set is subjected to model training through deep learning so as to obtain the prediction classification model, and the ECG signal classification is performed through the prediction classification model, so that incompleteness caused by artificial design characteristics is reduced, the ECG signal classification accuracy is improved, and more types of heart rate variability can be classified.

Description

technical field [0001] The invention relates to the technical field of electrocardiographic analysis, in particular to a method and device for classifying electrocardiographic signals. Background technique [0002] Arrhythmia is a common phenomenon in the crowd. Serious arrhythmia will immediately threaten human life. Therefore, timely detection of arrhythmia is of great significance to prevent heart disease and sudden cardiac death. In the ECG information, the P wave (the waveform generated when the left and right atria are depolarized during the electrocardiogram), the QPS wave (the wave group with the largest amplitude in the normal ECG), and the T wave (the wave that appeared after the last wave group paused), representing the ventricles The repolarization of the heart to prepare for the next ventricular depolarization) is an important characteristic wave of the ECG signal, and their characteristic change information is an important basis for the analysis and diagnosis o...

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Application Information

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IPC IPC(8): A61B5/0402
CPCA61B5/7264A61B5/318
Inventor 刘志华李东阳陈俊宏艾红马晨光
Owner SHENZHEN INST OF ADVANCED TECH
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