Electrocardiogram waveform data processing method and device and server

A technology of ECG data and processing methods, which is applied in the directions of sensors, medical science, diagnostic recording/measurement, etc. It can solve the problems of poor adaptability of ECG signals and single classification results of ECG waveform data, so as to improve diversity and accuracy Effect

Active Publication Date: 2019-03-19
WUHAN ZHONGQI BIOLOGICAL MEDICAL ELECTRONICS
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Problems solved by technology

[0003] The ECG waveform signal is a one-dimensional signal, and the network model used in the prior art for ECG waveform processing is generally a two-dimensional convolution model and the number of mo

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  • Electrocardiogram waveform data processing method and device and server
  • Electrocardiogram waveform data processing method and device and server
  • Electrocardiogram waveform data processing method and device and server

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Embodiment Construction

[0028] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] In the existing technical scheme, there is a method for classifying ECG waveform data using a neural network model, such as figure 1 As shown, the method first stores the collected ECG waveform data into the training sample set, then uses wavelet soft threshold method to remove high-frequency noise, uses wavelet decomposition and reconstruction method to remove low-frequency n...

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Abstract

The invention provides an electrocardiogram waveform data processing method and device and a server. The method herein includes: acquiring electrocardiogram waveform data; preprocessing the electrocardiogram waveform data, inputting the preprocessed electrocardiogram waveform data to a first convolution model, and performing first classification on the electrocardiogram waveform data to obtain first data classification results; inputting the preprocessed electrocardiogram waveform data to a second convolution model to obtain second data classification results; inputting the preprocessed electrocardiogram waveform data to a third convolution model to obtain third data classification results; inputting the preprocessed electrocardiogram waveform data to a fourth convolution model to obtain fourth data classification results; subjecting the four data classification results to weighted averaging to obtain final data classification results. The four convolution models are utilized to classify electrocardiogram waveform data and are suitable for electrocardiogram waveform data; data classification results are more diverse and accurate.

Description

technical field [0001] The invention relates to the technical field of electrocardiographic waveform data analysis, in particular to a processing method, device and server for electrocardiographic waveform data. Background technique [0002] Electrocardiogram is a standard diagnostic tool for non-invasive monitoring of heart electrical activity. In order to detect occasional arrhythmias, patients are often required to monitor ECG for several hours or even longer. The collected ECG waveform signals are very large. The doctor's diagnosis is extremely time-consuming and experience-consuming, so automatic classification of ECG waveform signals in the ECG is a very important research and technology, and it is a more effective auxiliary diagnosis method. [0003] The ECG waveform signal is a one-dimensional signal, and the network model used in the prior art for ECG waveform processing is generally a two-dimensional convolution model and the number of model layers is generally wit...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/7267A61B5/316A61B5/318
Inventor 李毅朱涛张玮罗伟朱佳兵
Owner WUHAN ZHONGQI BIOLOGICAL MEDICAL ELECTRONICS
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