Supercharge Your Innovation With Domain-Expert AI Agents!

A lung function evaluation algorithm, device, medium and equipment for patients with cervical spinal cord injury

A spinal cord injury and evaluation algorithm technology, applied in the evaluation of respiratory organs, computing, computer parts, etc., can solve unsolved problems, and achieve the effect of easy implementation, small calculation amount, and low hardware implementation requirements.

Active Publication Date: 2022-05-24
SOUTH CHINA UNIV OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] How to more accurately assess lung function in patients with cervical spinal cord injury based on cough sounds is currently unresolved

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
  • A lung function evaluation algorithm, device, medium and equipment for patients with cervical spinal cord injury
  • A lung function evaluation algorithm, device, medium and equipment for patients with cervical spinal cord injury
  • A lung function evaluation algorithm, device, medium and equipment for patients with cervical spinal cord injury

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] In this embodiment, a pulmonary function evaluation algorithm for patients with cervical spinal cord injury collects cough sound signals from patients with strong and weak lung function who cough forcefully; linear predictive coding is used to eliminate the influence of the vocal tract, and the lungs are extracted from the cough sounds. Excitation source component of exhaled airflow; calculate the short-term energy and root mean square value of the excitation source component and draw its RMS curve; establish a linearity based on the short-term energy maximum value of the excitation source component and the fall time of the root mean square curve A classifier was used to train a linear classifier with cough sounds of patients with strong and weak lung function as the sample set; the trained linear classifier was used to evaluate the lung function of patients with cervical spinal cord injury.

[0052] Workflow such as figure 1 shown, including the following steps:

[00...

Embodiment 2

[0116] The present embodiment is an algorithm for evaluating the strength of lung function in patients with cervical spinal cord injury, and its workflow is as follows Figure 4 As shown, the difference from the first embodiment is that: in this embodiment, in step S1, before dividing and windowing the cough sound signal, the cough signal is first detected by endpoints, and then divided into frames and windowed.

[0117] The remaining steps of this embodiment are the same as those of the first embodiment.

Embodiment 3

[0119] This embodiment is a storage medium, wherein the storage medium stores a computer program, and when executed by a processor, the computer program causes the processor to perform the pulmonary function of a patient with cervical spinal cord injury described in Embodiment 1 or Embodiment 2 Evaluate the algorithm.

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 present invention provides a lung function evaluation algorithm, device, medium and equipment for patients with cervical spinal cord injury; wherein the algorithm includes: acquiring a cough sound signal to be decided; deconvoluting the cough sound signal into an excitation source component reflecting the exhaled airflow of the lungs; Calculate the short-term energy maximum value of the excitation source component and the decline time of the root mean square curve, form the feature vector of the sample to be decided, and input it to the classification decision function to obtain the decision value of the sample to be decided; the classification decision function refers to the The initial classification decision function is a classification decision function obtained by training; the lung function is evaluated according to the decision value. The present invention overcomes the problem of being easily affected by the resonance peak value of the sound transmission function of the vocal tract when directly using the time-domain peak intensity of cough sounds to evaluate the strength of lung function; at the same time, the algorithm model is simple and the amount of calculation is small, which is convenient for use in wearable devices accomplish.

Description

technical field [0001] The invention relates to the technical field of medical equipment and medical signal processing, and more particularly, to an algorithm, device, medium and equipment for evaluating lung function of patients with cervical spinal cord injury. Background technique [0002] With the rapid development of industrialization and the increase of traffic flow, the incidence of cervical spinal cord injury has increased significantly. Cervical spinal cord injury is a devastating nerve injury that causes paralysis of the patient's respiratory muscles. The paralysis of the respiratory muscles leads to a decrease in the function of the inspiratory and expiratory muscles of the patient, which in turn leads to the failure of the patient's lung function. Respiratory complications resulting from pulmonary failure are the leading cause of early death in patients with cervical spinal cord injury. Therefore, lung function in patients with cervical spinal cord injury is a ...

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 Patents(China)
IPC IPC(8): G16H50/20G06K9/00G06K9/62A61B5/00A61B5/08
CPCG16H50/20A61B5/08A61B5/72G06F2218/12G06F18/241
Inventor 莫鸿强周樊曾键沣章臻
Owner SOUTH CHINA UNIV OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com