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Automatic recognition and classification method of electrocardiogram heartbeat based on artificial intelligence

A classification method and automatic identification technology, applied in the direction of biometric identification mode, biometric identification, neural learning method based on physiological signals, etc., can solve problems such as insufficient accuracy, complex electrocardiogram signals, and inability to achieve clinical analysis and use, and improve the The effect of accuracy

Active Publication Date: 2018-05-04
SHANGHAI LEPU CLOUDMED CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

However, although most of the electrocardiogram analysis software on the market can automatically analyze the data, due to the complexity and variability of the electrocardiogram signal itself, the accuracy of the current automatic analysis software is far from enough to meet the requirements of clinical analysis.

Method used

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  • Automatic recognition and classification method of electrocardiogram heartbeat based on artificial intelligence
  • Automatic recognition and classification method of electrocardiogram heartbeat based on artificial intelligence
  • Automatic recognition and classification method of electrocardiogram heartbeat based on artificial intelligence

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Embodiment Construction

[0039] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0040] The flow chart of the method for automatic recognition and classification of electrocardiogram and heartbeat based on artificial intelligence self-learning provided by the embodiment of the present invention is shown in figure 1 , mainly including the following steps:

[0041] Step 110, processing the received original electrocardiogram digital signal to generate heartbeat time series data and lead heartbeat data;

[0042] Specifically, the electrocardiogram monitoring equipment converts the electrocardiogram electrical analog signal into a digital signal output, and it can also be the electrocardiogram data obtained through the database or other file methods, and the original data is stored through the data storage transmission device, and can be transmitted through WIFI, bluetooth, USB, 3G / 4G / 5G mobile commun...

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Abstract

The embodiment of the invention relates to an automatic recognition and classification method of electrocardiogram heartbeat based on artificial intelligence. The method includes the following steps that received original electrocardiogram digital signals are processed, and heartbeat time sequence data and lead heartbeat data are obtained; according to the heartbeat time sequence data , the lead heartbeat data is cut to generate lead heartbeat analysis data; the lead heartbeat analysis data is subjected to data combination, and a one-dimensional heartbeat analysis array is obtained; accordingto the one-dimensional heartbeat analysis array, data dimension amplification and conversion are conducted, and four-dimensional tensor data is obtained; the four-dimensional tensor data is input to aLepuEcgCatNet heartbeat classification model obtained through training, and heartbeat classification information is obtained. The method overcomes the defect that a traditional method only depends onsingle lead independent analysis for result summary statistics and thus classification errors are more easily obtained, and the accuracy of the electrocardiogram heartbeat classification is greatly improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence-assisted data analysis and processing, in particular to an artificial intelligence-based automatic recognition and classification method for electrocardiogram heartbeats. 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. Electrocardiogram (ECG) is the main method of diagnosing cardiovascular diseases in modern medicine. Using ECG to diagnose various cardiovascular diseases is essentially the process of extracting ECG characteristic data to classify ECG. In the process of reading and analyzing the electrocardiogram, expert doctors need to compare the previous changes of the signals of each lead (except for single-lead data) in time sequence, the correlation (spatial relationship) and variation between the leads, and th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402G06K9/00G06K9/62
CPCA61B5/7264A61B2576/023A61B5/318G06F2218/08G06F2218/12G06F18/24A61B5/0245A61B5/349A61B5/7267G06N3/08G16H50/20G06V40/15G06V10/454G06N3/045G06F18/24143G16H40/63
Inventor 胡传言张雪田亮刘涛曹君刘畅
Owner SHANGHAI LEPU CLOUDMED CO LTD
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