Method and system for automatically determining electrocardiogram state of user based on artificial intelligence

An automatic judgment and artificial intelligence technology, applied in the directions of diagnosis, application, telemetry patient monitoring, etc., can solve the problems of delay, the electrocardiogram cannot detect the diagnosis in time, etc., and achieve the effect of timely diagnosis and no delay in the disease.

Inactive Publication Date: 2018-11-20
希蓝科技(北京)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for automatically judging the user's ECG state based on artificial intelligence, so as to solve the problem that the abnormality of the electrocardiogram in the prior art cannot be detected in time and cause delay in diagnosis

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  • Method and system for automatically determining electrocardiogram state of user based on artificial intelligence
  • Method and system for automatically determining electrocardiogram state of user based on artificial intelligence

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Embodiment 1

[0046] See figure 1 A method for automatically judging a user's ECG state based on artificial intelligence disclosed in this embodiment includes the following steps:

[0047] Step S1 acquires the electrocardiogram data sent by the electrocardiogram monitoring device. ECG monitoring equipment includes long-term ECG monitoring equipment worn by users or other terminal monitoring equipment;

[0048] Step S2 records the waveform parameters of each heartbeat in the first time period. Record according to the monitoring time according to the electrocardiogram data, such as extracting the waveform within 10 minutes, and recording the waveform parameters.

[0049] Step S3 records the waveform parameters of each heartbeat within the second time period. Wherein, the duration of the first time period and the second time period may be the same or the second time period may be shorter than the first time period, and the second time period follows the first time period. Specifically, if ...

Embodiment 2

[0061] This embodiment discloses a system for automatically judging a user's ECG state based on artificial intelligence, including an electrocardiogram acquisition module, an electrocardiogram recording module, a waveform comparison module, a comparison result evaluation module, a standard threshold value comparison module, an abnormality judgment module, and an abnormality information sending module .

[0062] ECG acquisition module. It is used to receive the electrocardiogram data sent by the electrocardiogram monitoring device, and from the obtained electrocardiogram data, record the waveform parameters of each heartbeat in the first time period and the waveform parameters of each heartbeat in the second time period following the first time period Waveform parameters, send the waveform parameters recorded twice to the waveform comparison module.

[0063] The waveform comparison module receives the two waveform parameters sent by the electrocardiogram acquisition module, co...

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Abstract

The invention discloses a method and system for automatically determining an electrocardiogram o state of a user based on artificial intelligence. The method comprises the following steps that electrocardiogram data sent by electrocardiogram monitoring equipment is acquired; waveform parameters of heart beats in first time period and second time period are recorded and compared; a comparison result of waveform parameter difference information is obtained; the comparison result is scored to form an evaluation value; an electrocardiogram waveform parameter evaluation standard threshold is set; the evaluation value is compared with the evaluation standard threshold; according to the difference between the evaluation value and the standard threshold, it is judged whether or not the electrocardiogram is abnormal; if yes, an abnormal reminder is sent to a user terminal or a doctor terminal. The method and system for automatically determining the electrocardiogram state of the user based on the artificial intelligence can automatically monitor the difference between the current electrocardiogram state of the user and the electrocardiogram state of the user in a previous time period, and then directly send a possible question to the doctor terminal to be analyzed by a doctor or be used for prompting the user, so that the user takes corresponding measures, diagnosis is carried out in time, and health protection for the user is provided.

Description

technical field [0001] The invention relates to the technical field of medical artificial intelligence-assisted diagnosis, in particular to a method and system for automatically judging a user's ECG state based on artificial intelligence. Background technique [0002] Electrocardiography (ECG or EKG) is a technique that uses an electrocardiogram machine to record the electrical activity changes of the heart every cardiac cycle from the body surface. In 1885, the Dutch physiologist W. Einthoven recorded the ECG waveform from the body surface for the first time. At that time, he used a capillary electrometer, which was improved into a string galvanometer in 1910. This created the history of surface ECG recording. During routine ECG examination, 4 limb lead electrodes and 6 chest lead electrodes V1-V6 are usually placed, and a conventional 12-lead ECG is recorded. Different leads are formed between two electrodes or between the electrodes and the central potential terminal, w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/0006A61B5/7235A61B5/746A61B5/316A61B5/318
Inventor 穆峰李强罗逸飞肖汉曲仕辉张晓欣
Owner 希蓝科技(北京)有限公司
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