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

Thoracic and abdominal surface area respiratory signal period prediction method combining three-cycle judgment

A technology of respiratory signal and surface area, which is applied in the field of prediction of the cycle of respiratory signal in the surface area of ​​the chest and abdomen, can solve the problems of judging the cycle and difficulty, and achieve the effects of small calculation, avoiding false cycles, and accurate prediction results

Active Publication Date: 2019-05-10
HARBIN UNIV OF SCI & TECH
View PDF11 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] However, since the respiratory movement is not a simple repetition of a single period, it is difficult to judge the period by the distance of two identical eigenvalues

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
  • Thoracic and abdominal surface area respiratory signal period prediction method combining three-cycle judgment
  • Thoracic and abdominal surface area respiratory signal period prediction method combining three-cycle judgment
  • Thoracic and abdominal surface area respiratory signal period prediction method combining three-cycle judgment

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0075] This embodiment is an embodiment of a method for predicting the period of the respiratory signal in the surface area of ​​the chest and abdomen combined with three-period judgment.

[0076] The method for predicting the period of the respiratory signal in the chest and abdomen surface area combined with three-period judgment in this embodiment consists of the following steps:

[0077] Step a, constructing an ideal single-period respiratory signal;

[0078] Step b, performing period extension on the ideal single-period respiratory signal obtained in step a, to obtain an ideal multi-period respiratory signal;

[0079] Step c, carry out periodic extraction to the ideal multi-period breathing signal obtained in step b, including:

[0080] Step c1, extracting the DC component of the ideal multi-period respiratory signal obtained in step b;

[0081] Step c2, subtracting the DC component obtained in step c1 from the ideal multi-cycle respiratory signal obtained in step b;

...

specific Embodiment 2

[0089] This embodiment is an embodiment of a method for predicting the period of the respiratory signal in the surface area of ​​the chest and abdomen combined with three-period judgment.

[0090] The method for predicting the breathing signal period of the thoracoabdominal surface area combined with three-period judgment in this embodiment, on the basis of the specific embodiment 1, further limits the construction of an ideal single-period breathing signal described in step a, including the following steps:

[0091] Step a1, according to the normal breathing process of human beings, the breathing movement is divided into three stages: inhalation process, exhalation process and quasi-pause process;

[0092] Step a2, respectively determine the duration T of the inhalation process 1 , the duration of the exhalation process T 2 and the duration T of the class suspension process 3 ;

[0093] Step a3, with a period of 4T 1 A sinusoidal function with a phase of [0, π / 2] simulate...

specific Embodiment 3

[0096] This embodiment is an embodiment of a method for predicting the period of the respiratory signal in the surface area of ​​the chest and abdomen combined with three-period judgment.

[0097] The method for predicting the period of the respiratory signal in the chest and abdomen surface area combined with three-period judgment in this embodiment consists of the following steps:

[0098] Step a, constructing an ideal single-period respiratory signal;

[0099] Step a1, according to the normal breathing process of human beings, the breathing movement is divided into three stages: inhalation process, exhalation process and quasi-pause process;

[0100] Step a2, respectively determine the duration T of the inhalation process 1 , the duration of the exhalation process T 2 and the duration T of the class suspension process 3 ;

[0101] Step a3, with a period of 4T 1 A sinusoidal function with a phase of [0, π / 2] simulates the inhalation process to obtain a simulated inhalat...

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 thoracic and abdominal surface area respiration signal period prediction method combining three-period judgment, and belongs to the technical fields of oncology, precision instruments, engineering technologies, mathematics and the like. The method comprises the following steps: firstly, constructing an ideal single-cycle respiratory signal, then carrying out cycle extension to obtain an ideal multi-cycle respiratory signal, finally, carrying out cycle extraction on the ideal multi-cycle respiratory signal, carrying out the whole extraction process in three imaginary cycles with the same data volume, and completing the cycle extraction in three cycles. The method can accurately extract the period of the ideal multi-period respiratory signal, and lays a simulation experiment foundation for accurately predicting respiratory movement.

Description

technical field [0001] The method for predicting the period of the breathing signal in the surface area of ​​the chest and abdomen combined with three-period judgment of the present invention belongs to the technical fields of tumor medicine, precision instruments, engineering technology, mathematics and the like. Background technique [0002] Radiation therapy (hereinafter referred to as radiotherapy) is one of the most important means of treating cancer. About 70% of cancer patients will use radiotherapy in the course of cancer treatment, and about 40% of cancers can be cured by radiotherapy. The effect of radiation therapy is related to the precision and dose of radiation delivered to the tumor area. Malignant tumors of the digestive system are located in the thoracic and abdominal cavity. Affected by respiratory movement, the position and volume of the tumor will change over time, resulting in a decrease in the accuracy of radiation irradiation, thereby affecting the ef...

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): G16H50/50G16H20/40A61N5/10
Inventor 于晓洋徐雅婷王明韩岫君樊琪胡亚欣赵烟桥张琴王妍王淼朱子桐李宇潇
Owner HARBIN UNIV OF SCI & TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com