Photoelectric volume wave-based breathing rate monitoring method

A technology of photoplethysmogram and respiration rate, which is applied in the evaluation of respiratory organs, etc., can solve the problems that there is no clear separation between two waveforms, and the influence of respiration waves cannot be ignored. It is convenient for single-chip implementation, wireless detection and networking. The effect of less application and resources

Active Publication Date: 2010-06-16
XI AN JIAOTONG UNIV
View PDF1 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Relatively speaking, the temperature drift of extremely low frequency is easier to eliminate, but the influence of the Meyer wave component that is very close to the respiratory frequency or even overlaps with each other on the respiratory wave cannot be ignored, especially when the frequencies of the two waveforms overlap, the filtering method It is difficult to extract two different waveforms in the same frequency band separately
Although the Chinese patent ZL03808327.2 points out the corresponding phase change characteristics of respira

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Photoelectric volume wave-based breathing rate monitoring method
  • Photoelectric volume wave-based breathing rate monitoring method
  • Photoelectric volume wave-based breathing rate monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0045] Such as figure 2 Shown, a kind of respiration rate monitoring method based on photoplethysmography, comprises the following steps:

[0046] Step 1, collect the original digital photoplethysmographic signal. In the present invention, it is a photoplethysmic wave signal that reflects changes in the blood volume of the microvascular bed on the surface of the fingertips, wrist or forehead through red light or near-infrared light projection or reflection. Specifically It includes not only the A / D conversion of the analog photoelectric signal, but also the digital photoelectric product wave signal obtained by the light-frequency conversion method. The signal is required to be the original photoplethysmogram signal with a sampling frequency of 500 Hz and above without filtering or other processing, which contains the respiratory information t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a photoelectric volume wave-based breathing rate monitoring method. The method is characterized by comprising the following steps: first, acquiring a photoelectric volume wave digital signal of the change of the blood volume on a capillary bed on the surface of skin at a position to be monitored, wherein the signal is an original photoelectric volume wave signal which has not been filtered, contains breathing information and has a sampling frequency over 500 Hz; then, preprocessing an acquired photoelectric volume wave by using a mathematical morphology method; next, detecting a peak point and a valley point of each beat of a volume pulse wave by adopting a characteristic point positioning method by the preprocessed signal; later on, calculating time interval variable of each beat and the difference variable between the peak point and the valley point of each beat; and finally, detecting obtained the breathing rhythms of the time interval variable and an amplitude variable, and calculating a breathing rate.

Description

technical field [0001] The invention relates to a digital signal processing method, in particular to a method for monitoring respiration rate based on photoelectric volumetric wave with high sampling rate. Background technique [0002] Photoplethysmography (Photoplethysmograph, PPG) is a non-invasive detection method that uses photoelectric conversion technology to measure blood volume changes in microvascular beds on the skin surface. Photoplethysmography based on this method has been widely used in the monitoring of blood oxygen saturation and heart rate. Due to the interaction and influence between different systems of the human body, respiratory movement will also cause changes in the peripheral circulation, so the photoplethysmographic signal can be used to realize respiratory monitoring. Compared with existing respiratory monitoring methods, such as thoracic impedance and mouth-nasal airflow, the respiratory monitoring based on photoplethysmographic technology is more...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/08
Inventor 李津金捷陈翔孙卫新郭萍孔澍
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap