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

A breathing signal and surface area technology, which is applied in the field of breathing signal cycle prediction in the thoracic and abdominal surface area, can solve the problems of judging cycle and difficulty, and achieve the effect of small calculation amount, simple function and simple method.

Active Publication Date: 2019-05-10
HARBIN UNIV OF SCI & TECH
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  • 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

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

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specific Embodiment 1

[0064] This embodiment is an embodiment of a method for predicting the period of the respiratory signal in the chest and abdomen surface area combined with double-period judgment.

[0065] The method for predicting the period of the respiratory signal in the thoracoabdominal surface area combined with double-period judgment in this embodiment consists of the following steps:

[0066] Step a, constructing an ideal single-period respiratory signal;

[0067] Step b, performing period extension on the ideal single-period respiratory signal obtained in step a, to obtain an ideal multi-period respiratory signal;

[0068] Step c, carry out periodic extraction to the ideal multi-period breathing signal obtained in step b, including:

[0069] Step c1, set the period data variable to 1, and enter step c2;

[0070] Step c2. Calculate the sum of all data in the first period and the sum of all data in the second period according to the period data variables, and proceed to step c3;

[0...

specific Embodiment 2

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

[0076] The method for predicting the breathing signal period of the thoracoabdominal surface area combined with double-period judgment in this embodiment, on the basis of the specific embodiment 1, further limits the construction of an ideal single-period respiratory signal described in step a, including the following steps:

[0077] 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;

[0078] 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 ;

[0079] Step a3, with a period of 4T 1 A sinusoidal function with a phase of [0, π / 2] simulates the...

specific Embodiment 3

[0082] This embodiment is an embodiment of a method for predicting the period of the respiratory signal in the chest and abdomen surface area combined with double-period judgment.

[0083] The method for predicting the period of the respiratory signal in the thoracoabdominal surface area combined with double-period judgment in this embodiment consists of the following steps:

[0084] Step a, constructing an ideal single-period respiratory signal;

[0085] 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;

[0086] 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 ;

[0087] 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 inhalation sign...

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Abstract

The invention discloses a thoracic and abdominal surface area respiratory signal period prediction method combining double-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, and finally carrying out cycle extraction on the ideal multi-cycle respiratory signal, the whole extraction process is carried out in two imaginary cycles with the same data volume, and the cycle extraction can be completed in the two cycles; the method can accurately extract the period of the ideal multi-period respiratory signal, and lays asimulation experiment foundation for accurately predicting respiratory movement.

Description

technical field [0001] The method for predicting the period of the respiratory signal in the surface area of ​​the chest and abdomen combined with double-period judgment belongs to the technical fields of tumor medicine, precision instruments, engineering technology and mathematics. 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 effect of radiotherapy. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/50G16H20/40A61N5/10
Inventor 于晓洋王明韩岫君樊琪胡亚欣徐雅婷赵烟桥张琴王妍王淼朱子桐李宇潇
Owner HARBIN UNIV OF SCI & TECH
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