Check patentability & draft patents in minutes with Patsnap Eureka AI!

Algorithm, device, medium and equipment for evaluating lung function of patient with cervical spinal cord injury

A spinal cord injury and evaluation algorithm technology, applied in the evaluation of respiratory organs, computing, computer components, etc., can solve unsolved problems, achieve the effect of easy implementation, simple model, and elimination of resonance peaks

Active Publication Date: 2021-06-18
SOUTH CHINA UNIV OF TECH
View PDF8 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
  • Algorithm, device, medium and equipment for evaluating lung function of patient with cervical spinal cord injury
  • Algorithm, device, medium and equipment for evaluating lung function of patient with cervical spinal cord injury
  • Algorithm, device, medium and equipment for evaluating lung function of patient with cervical spinal cord injury

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] This embodiment is an algorithm for assessing lung function of patients with cervical spinal cord injury, which collects the cough sound signals of patients with strong lung function and weak lung function; uses linear predictive coding to eliminate the influence of the vocal tract, and unwinds the lungs from the cough sound. The excitation source component of the exhaled airflow; calculate the short-term energy and root mean square value of the excitation source component and draw its root mean square curve; use the short-term energy maximum value of the excitation source component and the decline time of the root mean square curve to establish linearity Classifier, and the cough sound samples of patients with strong lung function and weak lung function were used as sample sets to train a linear classifier; 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, includi...

Embodiment 2

[0116] In this embodiment, an algorithm for assessing the strength of lung function in patients with cervical spinal cord injury, its workflow is as follows Figure 4 As shown, the difference from Embodiment 1 is that in this embodiment, in step S1, before framing and windowing the cough sound signal, endpoint detection is performed on the cough sound signal, and then framing and windowing are performed.

[0117] The remaining steps of this embodiment are the same as those of Embodiment 1.

Embodiment 3

[0119] This embodiment is a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the processor performs the lung function function described in Embodiment 1 or Embodiment 2 for patients with cervical spinal cord injury. Evaluation 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 invention provides a lung function evaluation algorithm and device for a patient with cervical spinal cord injury, a medium and equipment. The algorithm comprises the following steps: acquiring a cough sound signal to be decided; unrolling the cough sound signal to form an excitation source component reflecting lung exhaled air flow; calculating the short-time energy maximum value of the excitation source component and the fall time of a root mean square curve, forming a feature vector of a to-be-decided sample, and inputting the feature vector into a classification decision function to obtain a decision value of the to-be-decided sample, wherein the classification decision function refers to a classification decision function obtained by training an initial classification decision function; and evaluating the lung function according to the decision value. According to the method, the problem that when the lung function strength is evaluated by directly using the time-domain peak value strength of the cough sound, the influence of a sound channel sound transmission transfer function resonance peak value is overcome; meanwhile, the algorithm model is simple, the calculation amount is small, and implementation in the wearable device is facilitated.

Description

technical field [0001] The present invention relates to the technical field of medical equipment and medical signal processing, and more specifically relates to a lung function evaluation algorithm, device, medium and equipment for 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. Respiratory muscle paralysis leads to a decrease in the function of the inspiratory and expiratory muscles of the patient, which in turn causes the patient's lung function to fail. 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 very impor...

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): 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