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Automatic blood pressure measurement method based on deep learning

A blood pressure measurement and deep learning technology, applied in the medical field, can solve the problem that the accuracy depends on human experience, and achieve the effect of scientific measurement method and accurate measurement results.

Active Publication Date: 2017-05-31
CHENGDU UNIV OF INFORMATION TECH
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AI Technical Summary

Problems solved by technology

The existing manual auscultation method needs human auscultation to judge whether the sound belongs to Korotkoff sound, and its accuracy depends on human experience, so misjudgment is inevitable

Method used

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  • Automatic blood pressure measurement method based on deep learning
  • Automatic blood pressure measurement method based on deep learning
  • Automatic blood pressure measurement method based on deep learning

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Embodiment Construction

[0025] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the implementation of the present invention is not limited to the following specific embodiments.

[0026] Cuff type (mercury) sphygmomanometer explains the principle of blood pressure measurement: When measuring blood pressure, the "click, click" sound heard with a stethoscope is not the sound of the heart beating, but the sound produced by blood vessels. There is no sound when blood flows through blood vessels, but when blood flows through narrow blood vessels and forms a vortex, it can make a sound.

[0027] When measuring blood pressure, the cuff is first inflated and pressurized, and the pressure acts on the brachial artery. When the pressure is higher than the systolic pressure, the blood is blocked. After deflation, the pressure in the cuff drops accordingly. When the pressure in the cuf...

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Abstract

The invention discloses an automatic blood pressure measurement method based on deep learning. The automatic blood pressure measurement method includes the steps: firstly, acquiring and segmenting audio data, and framing the audio data by segmentation; secondly, classifying voice data by a deep learning method, and recombining classification results according to a segmenting sequence; finally, mapping blood pressure values and transforming the classification results into the blood pressure values. Blood pressure value measurement is simplified into a classification problem, and the acquired audio data of a stethoscope are classified by the most widely applied deep learning method to judge whether signals in the data of the stethoscope are offset voice signals or not. The automatic blood pressure measurement method is scientific, and measurement results are accurate and reliable.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an automatic blood pressure measurement method based on deep learning. Background technique [0002] Using a cuff-type sphygmomanometer to measure blood pressure is the most commonly used method of measuring blood pressure in clinical practice. It was invented by Russian physician Korotkoff in the 19th century. The measurement principle is to inflate and pressurize the cuff to completely occlude the artery, and then gradually deflate the cuff and the pressure will gradually decrease. The highest pressure that can be applied to open the cuff is defined as systolic blood pressure, and the lowest pressure that can be applied to open the cuff is defined as diastolic pressure. In the field of blood pressure testing, manual auscultation is currently the most accurate method of blood pressure measurement. This method is based on the cuff pressure at the moment when the Korotkoff sound...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/022
CPCA61B5/02141A61B5/02208A61B5/7264
Inventor 潘帆刘澄玉郑定昌黄珂
Owner CHENGDU UNIV OF INFORMATION TECH
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