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Pulse condition discrimination method based on deep learning

A technology of deep learning and discriminative methods, applied in the field of medical information technology applications, can solve problems such as inconvenience, time-consuming, labor-intensive, and impact, and achieve the effects of good test experience, low detection cost, and high pregnancy test accuracy

Inactive Publication Date: 2021-07-13
北京测态培元科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are three main modern pregnancy testing methods, which are pregnancy test stick test, B-ultrasound test and blood test. The pregnancy test stick cannot be reused and the accuracy is affected by some external factors. B-ultrasound test and blood test need to go Hospital examination, blood test is still invasive, time-consuming and labor-intensive, very inconvenient

Method used

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  • Pulse condition discrimination method based on deep learning
  • Pulse condition discrimination method based on deep learning
  • Pulse condition discrimination method based on deep learning

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Embodiment

[0033] figure 1 It is a flow chart of a pulse condition discrimination method based on deep learning of the present invention, as shown in the figure, a kind of pulse condition discrimination method based on deep learning, the specific steps are as follows:

[0034] Step S1: Collect pulse data.

[0035] The pulse data is collected through a pulse collection instrument for pulse wave collection, and the pulse collection instrument uses a clip-on smart pulse oximeter. During the collection process, keep a calm mood and stable fingers, and the external environment is quiet. The finger to be tested is the index finger of the left hand, and the test time is about 5 minutes.

[0036] Step S2: The pulse data is subjected to data preprocessing, pulse wave cutting, pulse quality detection and wavelet transformation in sequence.

[0037] The specific steps of data preprocessing are as follows:

[0038] Step S21: Signal denoising, performing denoising processing on the pulse signal. ...

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Abstract

The invention discloses a pulse condition discrimination method based on deep learning. The method specifically comprises the following steps of S1, collecting pulse data, S2, sequentially performing data preprocessing, pulse wave cutting, pulse quality detection and wavelet transformation on the pulse data, and S3, identifying and judging the processed pulse data through a trained neural network. When the pulse condition discrimination method based on deep learning is used for pregnancy test, the test has the advantages of being reusable, low in detection cost and good in test experience, and meanwhile, the method has high pregnancy test accuracy.

Description

technical field [0001] The present invention relates to the technical field of medical information technology application, in particular to a pulse condition discrimination method based on deep learning. Background technique [0002] Pulse diagnosis is a very distinctive diagnostic method in the field of traditional Chinese medicine. After years of development, TCM pulse diagnosis has received more and more attention in the world due to its non-invasive detection characteristics. However, so far, pulse diagnosis mainly relies on the practice and inheritance of traditional Chinese medicine, which is not conducive to demonstrating the reliability and large-scale promotion of pulse diagnosis. Therefore, how to digitize pulse and objectify pulse diagnosis has become an important research in modern Chinese medicine. direction. [0003] In traditional Chinese medicine pulse diagnosis, a well-known pulse condition is called "happy pulse", also known as pregnancy pulse. Traditiona...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/02A61B5/145A61B5/00
CPCA61B5/02A61B5/7267A61B5/4854A61B5/7203A61B5/7225A61B5/4343A61B5/14542
Inventor 俞俊生黄竹雅王新宇陶奕帆杜春燕王向青单莹花楚
Owner 北京测态培元科技有限公司
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