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Establishing method and device for artery blood vessel age estimation model

A technology of arterial blood vessels and estimation models, which is applied in catheters, cardiac catheters, etc., can solve the problems of reducing the preventive effect of cardiovascular diseases and not giving the age of blood vessels, so as to achieve accurate estimation and improve the effect of estimation accuracy

Active Publication Date: 2018-06-22
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method does not give the corresponding vascular age, and the vascular age is more intuitive than the risk of disease, and the psychological feeling caused can better urge patients to adopt a more reasonable lifestyle; in addition, the implementation of the above technology can only be carried out in hospitals, and many patients In the case of no disease, seldom go to the hospital for examination, thus greatly reducing the preventive effect on cardiovascular diseases

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  • Establishing method and device for artery blood vessel age estimation model
  • Establishing method and device for artery blood vessel age estimation model
  • Establishing method and device for artery blood vessel age estimation model

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Embodiment 1

[0036] An embodiment of the present invention provides a method for constructing an arterial age estimation model, see figure 1 A schematic flow chart of the method for constructing the arterial age estimation model shown, the method includes the following steps:

[0037] Step S102, collecting the sample user's reference arterial age, physiological signal and individualized information.

[0038] Due to the large physiological differences between users of different genders, when constructing the arterial age estimation model, considering the accuracy of the estimation model, the estimation models will be constructed separately for males and females. Among them, models of different genders use the same type of data, and feature extraction and model training also use the same method. The above physiological signals include synchronous PPG (photoplethysmograph, using photoplethysmography) signals and ECG (electrocardiogram, electrocardiogram) signals, and the individualized informa...

Embodiment 2

[0070] An embodiment of the present invention provides a method for constructing an arterial age estimation model. The method is described by taking the user's physical information including age, PWV, T1, T2, BMI index, and smoking age as an example. In the method provided in this embodiment, the above-mentioned selected parameters are rationally designed according to the existing medical and mathematical theories, all of which have a significant impact on the user's arterial age. The detailed analysis is as follows:

[0071] (1) Vascular age generally increases with natural age, but due to individual factors (such as smoking, diet, obesity, etc.), the increase between the two is not linearly related; (2) PWV directly reflects the elasticity of arterial vessels Important indicators, the better the blood vessel elasticity, the slower the PWV, and the harder the blood vessel, the faster the PWV; (3) The time delay between the main wave and the dicrotic wave in the pulse wave is dir...

Embodiment 3

[0089] An embodiment of the present invention provides a device for constructing an arterial age estimation model, see Figure 4 The schematic diagram of the structure of the shown arterial vessel age estimation model construction device includes a sample collection module 10, a weighted feature acquisition module 20 and a training module 30, wherein the functions of each module are as follows:

[0090] The sample collection module 10 is used to collect the reference arterial age, physiological signal and individualized information of the sample user; the physiological signal includes synchronous PPG signal and ECG signal, and the individualized information includes gender and arm span;

[0091] The weighted feature acquisition module 20 is used to perform weighted feature acquisition operations according to gender for each sample user: perform feature extraction according to physiological signals and individualized information; features include: pulse wave velocity, normalized...

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Abstract

The embodiment of the invention provides an establishing method and an establishing device for an artery blood vessel age estimation model, relating to the technical field of cardiovascular disease monitoring. The method comprises the following steps: collecting the reference artery blood vessel age, physiological signals and individual information of sample users; for each sample user, carrying out weighted feature acquiring operation according to the gender, namely, carrying out feature extraction according to the physiological signals and the individual information, carrying out normalization processing on the features, thus obtaining normalization features, calculating the weight coefficient of each feature according to the correlation coefficient of each feature and the reference artery blood vessel age, calculating the weighted feature of each feature according to the normalization feature and the weight coefficient; and by adopting the weighted features and the reference arteryblood vessel age of each sample user as sample data, training a neural network, thus obtaining the artery blood vessel age estimation model. The embodiment of the invention is accurate in estimation and suitable for family medical treatment, and can provide useful physiological parameters for family health.

Description

technical field [0001] The invention relates to the technical field of cardiovascular disease monitoring, in particular to a method and device for constructing an arterial blood vessel age estimation model. Background technique [0002] Cardiovascular disease (CVD) has the characteristics of high morbidity and disability, and has been the first cause of death in my country since 1990. Therefore, it is of great clinical significance to realize the screening and primary prevention of asymptomatic CVD high-risk groups. Arteriosclerosis and changes in arterial lumen elasticity play an important role in the occurrence and development of CVD, and are the prerequisites for the occurrence of cardiovascular diseases. Therefore, the monitoring of vascular sclerosis and elastic changes is more predictive of the occurrence of cardiovascular events. The judging criteria for arterial vessel elasticity and age mainly include the following three types: Framingham score, pulse wave velocit...

Claims

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Application Information

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IPC IPC(8): A61B5/02
CPCA61B5/02007
Inventor 李烨刘记奎苗芬闻博刘增丁
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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