Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Chronic obstructive pulmonary disease recognition device based on mouth-nose airflow signal

A technology of oral and nasal airflow and signals, which is applied in medical science, sensors, diagnostic recording/measurement, etc., and can solve problems such as high cost, instability, and undiscovered COPD monitoring devices

Active Publication Date: 2022-01-21
TIANJIN UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Relatively speaking, the COPD diagnosis method based on the diagnostic kit is an invasive test. Based on the data of the respiratory department and medical imaging data, the patient still needs to undergo CT and lung sound evaluation and diagnosis. The detection quality fluctuates greatly and is unstable. The detection method is complex and high cost
The inspection institute has not yet found a COPD monitoring device based on a single-channel oronasal airflow signal

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
  • Chronic obstructive pulmonary disease recognition device based on mouth-nose airflow signal
  • Chronic obstructive pulmonary disease recognition device based on mouth-nose airflow signal
  • Chronic obstructive pulmonary disease recognition device based on mouth-nose airflow signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific implementations.

[0030] 1. Oral and nasal airflow signal preprocessing module

[0031] In the embodiment of the present invention, the data is collected by the Jardine Jiaye Ruimaite bilevel positive pressure ventilation ventilator, specifically related to the ventilators of the models Y-25T and Y30T, and a total of 100 subjects were collected. Oronasal airflow signal data, including 50 healthy subjects and 50 COPD patients. The original sampling rate of the respiratory signal is 5Hz, and the doctor has marked the condition and corresponding state of each subject.

[0032] Use a 6-point moving average filter to eliminate noise, the calculation process is shown in formula (1), and then use a 3rd-order IIR Butterworth high-pass filter with a cutoff frequency of 0.05Hz...

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 relates to a chronic obstructive pulmonary disease recognition device based on a mouth-nose airflow signal. The invention firstly provides a mouth-nose airflow signal filtering and reconstructing method. The method comprises the following steps: mouth-nose airflow respiration signal preprocessing: filtering an original mouth-nose airflow respiration signal; performing signal decomposition and reconstruction of pre-processed oro-nasal airflow respiration signals; dividing the preprocessed mouth-nose airflow respiration signals into two paths, respectively calculating DWT coefficients through two complementary filters, obtaining approximate details of original signals, completing signal decomposition, and completing signal reconstruction through the inverse process of the process. On the basis of signal processing, the chronic obstructive pulmonary disease recognition device is provided.

Description

technical field [0001] The invention relates to the identification technology of chronic obstructive pulmonary disease, and specifically designs a device for identifying chronic obstructive pulmonary disease by using a pattern recognition neural network based on physiological monitoring information of a single channel of mouth and nose airflow. Background technique [0002] Chronic Obstructive Pulmonary Disease (COPD) is a common preventable and treatable disease characterized by persistent airflow limitation, progressive development of airflow limitation, and airway and lung response to toxic particles or gases associated with an enhanced chronic inflammatory response. The disease features chronic bronchitis and / or emphysema characterized by airflow obstruction, which can progress to the common chronic diseases of cor pulmonale and respiratory failure. It is related to the abnormal inflammatory response of harmful gases and particles, and the disability rate and mortality ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/08A61B5/087A61B5/00
CPCA61B5/08A61B5/087A61B5/725A61B5/7225A61B5/7264A61B5/7267
Inventor 余辉刘冬怡孙敬来垢程翔陈振赵婧孙敬武
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products