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Photoplethysmography analysis processing method based on cluster analysis

A photoelectric volumetric pulse and volumetric pulse wave technology, which is applied in medical science, sensors, catheters, etc., can solve the problems of model accuracy impact and characteristic parameter accuracy, and achieve the effect of improving efficiency and accuracy

Active Publication Date: 2020-05-12
XIAN UNIV OF TECH
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Problems solved by technology

When extracting the characteristic parameters of the pulse wave data containing such "distorted" waveforms, the accuracy of the characteristic parameters will be affected, and the accuracy of the subsequent model will also be affected.

Method used

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  • Photoplethysmography analysis processing method based on cluster analysis
  • Photoplethysmography analysis processing method based on cluster analysis
  • Photoplethysmography analysis processing method based on cluster analysis

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Embodiment Construction

[0042] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0043] see figure 1 , a kind of photoplethysmography analysis and processing method based on cluster analysis proposed by the present invention comprises the following steps:

[0044] Step 1, based on Lambert-Beer's theorem, use infrared light source to irradiate the fingertips of the human body, collect the optical signal transmitted through the fingertips by the photodetector, and use an analog filter to perform low-pass filtering on the photoplethysmography signal containing high-frequency noise , and the collected photoplethysmogram signal is amplified by the amplifier circuit, and then A / D is converted to it, and then the data is sent to the host computer;

[0045] Step 2, use the FIR digital filter to re-filter the noise brought by the acquisition card, human respiration, jitter, etc. in the volume pulse wave signal, and judge wh...

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Abstract

A photoplethysmography analysis processing method based on cluster analysis comprises the following steps: 1) acquiring a photoplethysmography signal of a finger end, carrying out low-pass filtering on the photoplethysmography signal, and transmitting the photoplethysmography signal to an upper computer after amplification; 2) performing noise filtering processing on the acquired signal by a digital filter to obtain a pure pulse wave signal; 3) performing differential processing on the pure photoplethysmography signal and extracting crest and trough points of the photoplethysmography signal; 4) calculating k' value and independent pulse pressure indexes P1 and P2 in each single cycle in an extracted waveform signal; 5) carrying cluster analysis on the k' value and P1 and P2 values of eachheartbeat cycle extracted from single acquired waveform to extract representative waveform; and 6) acquiring characteristic parameters on the representative waveform. The modeling efficiency and accuracy are correspondingly improved by extraction of characteristic parameters of the representative waveform.

Description

technical field [0001] The invention belongs to the technical field of biological signal processing, in particular to a photoplethysmography analysis and processing method based on cluster analysis. Background technique [0002] When the blood pressure spreads from the heart to the entire circulatory system in the form of waves, the pressure on the blood vessel wall in the internal circulatory system of the human body changes accordingly due to the change in the volume of blood in the blood vessels. Such changes are reflected in the waveform changes of the pulse wave. Therefore, the pulse wave contains a lot of physiological and pathological information. [0003] According to Lambert-Beer's law and light scattering theory, when a certain wavelength of light irradiates a certain substance, its absorbance has a good linear relationship with the concentration of the substance and the optical path, so when the light of a constant wavelength is irradiated on the human body, throu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/02A61B5/00
CPCA61B5/02A61B5/7203A61B5/7225A61B5/7257A61B5/7264A61B5/725A61B5/7246
Inventor 陈剑虹刘泽晨郑铱郭亚亚
Owner XIAN UNIV OF TECH
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