Human thoracic and abdominal surface area respiratory single-cycle prediction method based on variance calculation

A technology of respiratory signal and surface area, which is applied in the field of prediction of respiratory signal period of human thorax and abdomen surface area based on variance calculation, which can solve the problems of judging period and difficulty

Active Publication Date: 2019-05-10
HARBIN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • Human thoracic and abdominal surface area respiratory single-cycle prediction method based on variance calculation
  • Human thoracic and abdominal surface area respiratory single-cycle prediction method based on variance calculation
  • Human thoracic and abdominal surface area respiratory single-cycle prediction method based on variance calculation

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specific Embodiment 1

[0084] This embodiment is an embodiment of a method for predicting the cycle of the respiratory signal in the surface area of ​​the thorax and abdomen of the human body based on variance calculation.

[0085] The method for predicting the respiratory signal cycle of the human chest and abdomen surface area based on variance calculation of this embodiment consists of the following steps:

[0086] Step a, construct an ideal single-cycle breathing signal;

[0087] Step b: Perform periodic extension on the ideal single-cycle breathing signal obtained in step a to obtain an ideal multi-cycle breathing signal;

[0088] Step c. Periodically extract the ideal multi-period breathing signal obtained in step b, including:

[0089] Step c1: Calculate the maximum value of the period data variable, the calculation method is to use the ideal multi-period breathing signal obtained in step b to divide down 2;

[0090] Step c2, set the period data variable to change from 1 to the maximum value of the peri...

specific Embodiment 2

[0100] This embodiment is an embodiment of a method for predicting the cycle of the respiratory signal in the surface area of ​​the thorax and abdomen of the human body based on variance calculation.

[0101] The method for predicting the respiration signal cycle of the human chest and abdomen surface area based on the variance calculation of this embodiment, on the basis of specific embodiment 1, further restricts the construction of an ideal single-cycle respiration signal in step a, including the following steps:

[0102] Step a1, according to the normal human breathing process, the breathing movement is divided into three stages: inhalation process, exhalation process and pause-like process;

[0103] Step a2, respectively determine the duration T of the inhalation process 1 , The duration of the exhalation process T 2 And the duration of the pause process T 3 ;

[0104] Step a3, the use cycle is 4T 1 A sine function with a phase of [0,π / 2] simulates the inhalation process to obtain...

specific Embodiment 3

[0107] This embodiment is an embodiment of a method for predicting the cycle of the respiratory signal in the surface area of ​​the thorax and abdomen of the human body based on variance calculation.

[0108] The method for predicting the respiratory signal cycle of the human chest and abdomen surface area based on variance calculation of this embodiment consists of the following steps:

[0109] Step a, construct an ideal single-cycle breathing signal;

[0110] Step a1, according to the normal human breathing process, the breathing movement is divided into three stages: inhalation process, exhalation process and pause-like process;

[0111] Step a2, respectively determine the duration T of the inhalation process 1 , The duration of the exhalation process T 2 And the duration of the pause process T 3 ;

[0112] Step a3, the use cycle is 4T 1 A sine function with a phase of [0,π / 2] simulates the inhalation process to obtain a simulated inhalation signal; use a period of 4T 2 A sine functi...

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Abstract

The invention discloses a human thoracic and abdominal surface area respiratory signal period prediction method based on variance calculation, 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 continuation to obtain an ideal multi-cycle respiratory signal, finally, carrying out cycle extraction on the ideal multi-cycle respiratory signal, and carrying out the whole extraction process based onvariance calculation of each imaginary cycle. The method can accurately extract the cycle of the ideal multi-cycle respiratory signal, and lays a simulation experiment foundation for accurately predicting respiratory movement.

Description

Technical field [0001] The method for predicting the respiratory signal cycle of the human body's chest and abdomen surface area based on variance calculation belongs to the technical fields of oncology 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. Approximately 70% of cancer patients will use radiotherapy in the treatment of cancer, and about 40% of cancers can be cured by radiotherapy. The effect of radiotherapy is related to the accuracy and dose of radiation to the tumor area. Malignant tumors of the digestive system are located in the thoracic and abdominal cavity. The position and volume of the tumors will change with time due to the influence of respiratory movement, which will reduce the accuracy of radiation exposure and affect the effect of radiotherapy. [0003] In order to solve the problem of respi...

Claims

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Application Information

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