Artificial intelligence real-time analysis method and system for electrocardiogram monitoring

An artificial intelligence and real-time analysis technology, applied in the field of artificial intelligence data analysis, can solve the problems of complex, fast and accurate analysis of ECG signals, false negatives, false positives, etc., to optimize accuracy, ensure timeliness, and apply scope. wide effect

Active Publication Date: 2019-03-08
SHANGHAI YOCALY HEALTH MANAGEMENT CO LTD +1
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, due to the complexity and variability of the ECG signal itself, the existing remote dynamic ECG monitoring technology has certain limitations, and it cannot truly analyze automatically, quickly and accurately, and there will still be a large number of missed repor

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  • Artificial intelligence real-time analysis method and system for electrocardiogram monitoring
  • Artificial intelligence real-time analysis method and system for electrocardiogram monitoring

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Embodiment Construction

[0043] The technical solutions of the present invention will be further described in detail below through the accompanying drawings and embodiments.

[0044] The present invention provides an artificial intelligence real-time analysis method and system for ECG monitoring. The ECG monitoring data of the monitored person, especially the long-range ECG monitoring data, is used for pre-judgment with an online AI ECG analysis model, and The AI ​​ECG evaluation model is further used to identify and filter false alarms and grade and evaluate abnormal data, so as to realize real-time analysis and monitoring of ECG monitoring data, accurately identify abnormalities, and form an effective and timely early warning mechanism.

[0045] In order to better understand the technical solution of the present invention, a system for realizing an artificial intelligence real-time analysis method for ECG monitoring is first introduced.

[0046] Such as figure 1 As shown, the artificial intelligence real-t...

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Abstract

The embodiment of the invention relates to an artificial intelligence real-time analysis method and system for electrocardiogram monitoring. The method includes the steps of using electrocardiogram monitoring equipment for conducting electrocardiogram monitoring on a monitored user to obtain real-time electrocardiogram data and determining abnormal data of the real-time electrocardiogram data in real time on the basis of an online artificial intelligence (AI) electrocardiogram analysis model to generate a prewarning data segment; adopting a first cloud server for carrying out identification and judgment processing on the prewarning data segment according to an AI electrocardiogram evaluation model; adding a false alarm filtering mark to the prewarning data segment when this prewarning is determined to be a false alarm, and storing the false alarm filtering mark; carrying out abnormal data judgment on the prewarning data segment when prewarning is determined to be a true alarm, and transmitting an alarm record to a corresponding receiving device according to a transmission priority of alarm data records determined by a judgment level identifier; using the electrocardiogram monitoring equipment for uploading all the real-time electrocardiogram data to a second cloud server, generating dynamic electrocardiogram data of the monitored user, carrying out analysis according to an offline AI electrocardiogram analysis model and outputting report data.

Description

Technical field [0001] The present invention relates to the technical field of artificial intelligence data analysis, in particular to an artificial intelligence real-time analysis method and system for ECG monitoring. Background technique [0002] As we all know, electrocardiogram is the simplest, quickest and economical clinical examination method for various cardiovascular diseases, and it is the cornerstone of cardiovascular disease examination. Among them, the dynamic electrocardiography (DCG) technology was first applied by Holter in 1957 to the research of monitoring cardiac electrophysiological activity, so it is also called the Holter electrocardiograph, and it has become one of the important analysis methods for non-invasive examination in the clinical cardiovascular field. . Holter can continuously record the whole process of ECG activity for more than 24 hours, including ECG information under different conditions such as rest, activity, meal, work, study and sleep. ...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
CPCA61B5/7235A61B5/746A61B5/318
Inventor 汪嘉雨陈娟刘畅吴超石博张海峻黄硕李宇宏王玲张成胜胡友芝彭雪梅王鹏博荆玉晶秦晓陈田田
Owner SHANGHAI YOCALY HEALTH MANAGEMENT CO LTD
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