Quantitative cardiopulmonary system interaction analysis method

A technology of interaction and analysis method, which is applied in the field of analysis to quantify the interaction of the cardiopulmonary system. It can solve problems such as the inability to accurately and comprehensively describe the functional state of the system and the inability to reflect the internal relationship of the system, and achieve quantitative evaluation of sleep quality, detailed and accurate description, Effect of quantifying coupling strength

Active Publication Date: 2017-01-04
SUN YAT SEN UNIV
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the human body is a complex joint system, and this univariate analysis method often cannot reflect the important ...

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
  • Quantitative cardiopulmonary system interaction analysis method
  • Quantitative cardiopulmonary system interaction analysis method
  • Quantitative cardiopulmonary system interaction analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] like figure 1 and figure 2 As shown, the analytical method of quantifying cardiopulmonary system interaction of the present invention comprises the following steps:

[0047] 1) Use a polyconductor physiological recorder to collect the body surface ECG signals, respiratory airflow signals and pulse wave signals at the end of the index finger of the subjects who sleep for 7 hours at night, and mark the sleep stages according to the R&K standard: REM (rapid eye movement sleep period) ), NREM (non-rapid eye movement sleep);

[0048] 2) if image 3As shown, the RR interval sequence {RRi, i=1, 2, 3, ..., N} is extracted beat by beat from the collected body surface ECG signal, and the PP interval sequence {PPi, i=1,2,3,...,N}, extract the RA interval sequence {RAi, i=1,2,3,...,N} from the collected respiratory airflow signal beat by beat; and according to the synchronized body surface ECG signal and pulse wave signal, calculate the pulse wave transit time PTT sequence {PT...

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 quantitative cardiopulmonary system interaction analysis method which includes the steps: acquiring multi-lead physiological signals of a subject in nocturnal sleep; marking sleep stages of the signals and extracting an RR interval sequence, a PP interval sequence, a PTT sequence and an RA interval sequence; synchronously segmenting the four sequences according to 5-minute duration in the same sleep state and then extracting three characteristic parameters: low-frequency Shannon entropy, high-frequency Shannon entropy and transfer entropy; training a neural network, determining neural network parameters and building a neural network cardiopulmonary interaction evaluation model; evaluating the cardiopulmonary function of the subject by the trained neural network and outputting evaluation results. Cardiopulmonary coupling is analyzed by multi-variable time sequence analysis technology, multiple variables such as cardiac cycle, respiration and blood pressure are analyzed by a frequency domain and information analysis method, analysis deficiency of single variable is effectively remedied, so that a complicated regulation mechanism between cardiopulmonary systems is more accurately and comprehensively quantified, the coupling strength of cardiopulmonary interaction is quantified, and the direction of cardiopulmonary interaction can be judged.

Description

technical field [0001] The invention relates to an analysis method for quantifying the interaction of the cardiopulmonary system, in particular to a method for quantifying the cardiopulmonary interaction by using the monitoring data of the heart, blood vessels, and respiratory system by means of a spectrum analysis method and an informatics analysis method. Background technique [0002] Cardiopulmonary interaction, also commonly referred to as cardiopulmonary coupling, refers to the coordination mechanism and interaction between the cardiovascular circulatory system and the respiratory system. During sleep, the maintenance of circulatory homeostasis mainly depends on the coordinated work of the respiratory system and cardiovascular system: the respiratory system ensures oxygen exchange, and the cardiovascular system ensures blood transport. There is an obvious interaction between these two systems. The deepening and slowing of respiratory movement can increase heart rate var...

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): A61B5/0205A61B5/0402A61B5/00
CPCA61B5/0205A61B5/02108A61B5/087A61B5/4035A61B5/4809A61B5/4812A61B5/4815A61B5/7264A61B5/7271A61B5/316A61B5/318Y02A90/10
Inventor 蒋庆郑莲容刘官正
Owner SUN YAT SEN 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