Intelligent analysis method and system for paroxysmal atrial fibrillation based on difference time scattergram

A technology of intelligent analysis and scatter diagram, which is applied in the field of medical artificial intelligence, can solve the problems of manual analysis difficulty and high work intensity, atrial fibrillation load cannot be quantified, and high misdiagnosis rate, so as to reduce economic burden and social burden, and reduce detection cost, harm reduction effect

Active Publication Date: 2022-02-08
文皓(武汉)科技有限责任公司
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AI Technical Summary

Problems solved by technology

Long-term continuous ECG detection and analysis requires multi-day and long-term monitoring. Manual analysis is difficult and work-intensive, and the rate of misdiagnosis is also high. At the same time, the burden of atrial fibrillation cannot be quantified

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  • Intelligent analysis method and system for paroxysmal atrial fibrillation based on difference time scattergram
  • Intelligent analysis method and system for paroxysmal atrial fibrillation based on difference time scattergram
  • Intelligent analysis method and system for paroxysmal atrial fibrillation based on difference time scattergram

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Embodiment Construction

[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments, but these embodiments should not be construed as limiting the present invention.

[0045] A kind of paroxysmal atrial fibrillation intelligent analysis method based on difference time scatter diagram proposed by the present invention, such as figure 1 and figure 2 As shown, including the training phase and the detection phase;

[0046] The training phase consists of steps:

[0047] A1) Collect several pieces of original training data of long-term ambulatory electrocardiogram, and filter signal segments with too low quality.

[0048] Acquire a large amount of raw data of dynamic electrocardiograms of long-duration paroxysmal atrial fibrillation, and filter out low-quality signal segments. Collect a large number of ambulatory electrocardiogram samples, the sampling frequency is 500Hz, and each sample lasts 24 hours. Based on the shape of the E...

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Abstract

The invention discloses an intelligent analysis method and system for paroxysmal atrial fibrillation based on difference time scatter diagrams. The method includes a training stage and a detection stage; the training stage includes: A1) collecting original training data of electrocardiogram; A2) drawing The difference time scattergram in the training stage; A3) mark the atrial fibrillation attack label and the non-atrial fibrillation attack label on the difference time scattergram; A4) train the convolutional neural network model; the detection stage includes: B1) collect the original detection of the electrocardiogram Data; B2) draw the difference time scatter diagram in the detection stage; B3) input the difference time scatter diagram in the detection stage into the convolutional neural network model, and output the paroxysmal atrial fibrillation intelligent analysis result. The invention can realize the intelligent diagnosis of paroxysmal atrial fibrillation by using the method of classification of difference time scatter diagrams, thereby realizing the detection of subclinical atrial fibrillation patients.

Description

technical field [0001] The invention relates to the technical field of medical artificial intelligence, in particular to an intelligent analysis method and system for paroxysmal atrial fibrillation based on difference time scatter diagrams. Background technique [0002] Atrial fibrillation (abbreviated as atrial fibrillation) is the most common tachyarrhythmia symptom. Epidemiological studies have shown that the prevalence and incidence of clinical atrial fibrillation increased significantly between 1990 and 2010. In 2010, the number of clinical atrial fibrillation worldwide was estimated to be 3350. The number of patients with atrial fibrillation in my country exceeds 10 million, and the statistical data of clinical atrial fibrillation-related mortality has doubled in the past 10 years. Atrial fibrillation can form left atrial thrombus, 90% of the resulting embolism is cerebral artery embolism (ischemic stroke), and 10% is peripheral arterial embolism or mesenteric artery em...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/361A61B5/35A61B5/318
CPCA61B5/7267A61B5/361
Inventor 林凡杨晓云马飞冯晶柯凯
Owner 文皓(武汉)科技有限责任公司
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