KR102131742B1 - Method and system for optimizing respiratory synchrotron radiation therapy of patients using virtual reality - Google Patents

Abstract

The present invention relates to a method and system for optimizing respiratory gated radiation therapy of a patient by using virtual reality. According to an embodiment of the present invention, a method for optimizing respiratory gated radiation therapy of a patient by using virtual reality comprises the following steps of: modeling virtual reality for respiratory gated radiation therapy, and providing modeled virtual reality to an output terminal; measuring a respiratory signal, a tension signal and a bio-signal of a patient according to the virtual reality provided through the output terminal; evaluating the measured respiratory signal, tension signal and bio-signal, and analyzing correlation between signals; and generating a prediction model for determining a respiratory therapy technique of a patient by learning suitability of the respiratory therapy technique of the patient based on a result analyzed through machine learning or deep learning.

Description

METHOD AND SYSTEM FOR OPTIMIZING RESPIRATORY SYNCHROTRON RADIATION THERAPY OF PATIENTS USING VIRTUAL REALITY

The present invention relates to a method and system for optimizing respiratory synchrotron radiation treatment of a patient using virtual reality, and more specifically, a CT (Computed Tomography) simulation treatment room implemented through virtual reality (Virtual Reality) to a patient, a radiation treatment room By exposing the back to a patient, the present invention relates to a method and system for optimizing respiratory synchrotron radiation therapy, which can control breathing according to the patient's tension and improve patient satisfaction with treatment.

Radiation therapy is non-invasive because it removes the tumor by irradiation from outside the patient's body. Since these features can be performed on an outpatient basis for local treatment of cancer patients, the patient has high access to treatment and is suitable for treating many patients.

However, in actual treatment, there are factors that may cause anxiety to the patient, such as the size of the radiation treatment device, limited treatment time, and atmosphere or noise in the treatment room. Due to these factors, when the patient's tension is high, the patient's pre-treatment CT (Computed Tomography) and posture during treatment increase the probability of inconsistency, and the anxiety that occurs during the patient's own treatment can also lower the satisfaction of treatment There is.

Radiation therapy occurs multiple times, and this anxiety usually occurs at the beginning of treatment. If the patient is exposed to the same treatment facility multiple times, it is clear that the actual treatment can reduce the patient's anxiety. However, multiple exposures of the treatment facility to the patient without actually transmitting radiation have difficulties in operating the treatment device.

Republic of Korea Patent Publication No. 10-2018-0095148 (2018.08.27)

The present invention is to solve the problems as described above, by exposing the course of the radiation treatment to the patient in advance through virtual reality before radiation treatment, so that the patient can reduce the tension during radiation treatment to achieve accurate respiratory synchrotherapy At the same time, the objective is to provide a method and system that can optimize the entire process of respiratory synchrotherapy through quantification of tension.

In addition, it is an object of the present invention to provide a method and system for determining and performing an appropriate respiratory treatment technique for a patient by generating a predictive model for determining a patient's respiratory treatment technique using machine learning or deep learning. .

A method of optimizing respiratory synchrotron radiation treatment of a patient using virtual reality according to an embodiment of the present invention comprises: modeling virtual reality for respiratory synchrotron radiation treatment, providing modeled virtual reality to an output terminal, output Measuring a patient's breathing signal, tension signal and bio-signal according to the virtual reality provided through the terminal, evaluating the measured breathing signal, tension signal and bio-signal, analyzing the correlation between the signals, and machine learning or It may include the step of generating a predictive model for determining the patient's respiratory therapy technique by learning the fitness of the patient's respiratory therapy technique based on the results analyzed through deep learning.

According to an embodiment of the present invention, the tension signal includes an ECG (Electocephalogram) signal and an EKG (Electrocardiogram) signal, and the biological signal may include a patient's voice signal and a visual signal.

Evaluating the measured respiratory signal, the tension signal and the biological signal according to an embodiment of the present invention, and analyzing the correlation between the signals, the virtual reality environment based on the tension signal and the bio-signal to the patient's tension Evaluating the impact, and analyzing the correlation between the virtual reality environment and the patient's tension, and evaluating the effect of the patient's tension on the patient's breath based on the breathing signal and the tension signal. And analyzing the correlation between breaths.

Evaluating the effect of the virtual reality environment on the patient's tension based on the tension signal and the biosignal according to an embodiment of the present invention, and analyzing the correlation between the virtual reality environment and the patient's tension, the virtual reality It may include the step of estimating a factor that increases the patient's tension in the virtual reality environment based on the results derived through the analysis of the correlation between the environment and the patient's tension.

The method of optimizing respiratory synchrotron radiation treatment of a patient using virtual reality according to an embodiment of the present invention determines the number of exposures of the virtual reality to the patient based on the estimated factors, and the virtual reality according to the determined number of exposures It may further include the step of providing the additional to the output terminal.

The method of optimizing the patient's respiratory synchrotron radiation therapy using virtual reality according to an embodiment of the present invention, when additional provision of virtual reality according to the determined number of exposures is completed, the patient's respiratory signal, tension signal and biosignal The re-measurement may further include the step of evaluating the patient's tension and analyzing the patient's suitability for the respiratory therapy technique through a predictive model.

A system for optimizing respiratory synchrotron radiation therapy of a patient using virtual reality according to an embodiment of the present invention, models virtual reality for respiratory synchrotron radiation therapy and provides virtualized modeled virtual reality as an output terminal Modeling unit, a signal measuring unit for measuring a patient's respiratory signal, tension signal and bio signal according to virtual reality provided through an output terminal, evaluates the measured respiratory signal, tension signal and bio signal, and analyzes the correlation between the signals And a predictive model generator for generating a predictive model for determining the patient's respiratory therapy technique by learning the fitness of the patient's respiratory therapy technique based on the first data analysis unit and the results analyzed through machine learning or deep learning. Can.

The data analysis unit according to an embodiment of the present invention evaluates the effect of the virtual reality environment on the patient's tension based on the tension signal and the biosignal, and analyzes the correlation between the virtual reality environment and the patient's tension. It may include a first analysis unit and a second analysis unit for evaluating the effect of the patient's tension on the patient's breathing, and analyzing the correlation between the patient's tension and the patient's breathing based on the breathing signal and the tension signal.

The first analysis unit according to an embodiment of the present invention, based on the results derived through the analysis of the correlation between the virtual reality environment and the patient's tension, a factor that increases the patient's tension in the virtual reality environment ( Factor).

The virtual reality modeling unit according to an embodiment of the present invention may determine the number of exposures of the virtual reality to the patient based on the estimated factors, and additionally provide the virtual reality to the output terminal according to the determined number of exposures.

A system for optimizing respiratory synchrotron radiation treatment of a patient using virtual reality according to an embodiment of the present invention, when additional provision of virtual reality according to the number of exposures determined by the virtual reality modeling unit is completed, the signal measuring unit is a patient The second data analysis unit further re-measures the respiratory signal, the tension signal and the bio-signal of the patient, evaluates the patient's tension based on the re-measured signals, and analyzes the fitness of the patient's respiratory therapy technique through a predictive model. can do.

On the other hand, according to an embodiment of the present invention, it is possible to provide a recording medium readable by a computer recording a program for executing the above-described method on a computer.

Expected effects according to a method and system for optimizing respiratory synchrotherapy in patients provided as an embodiment of the present invention are as follows.

(1) Increasing patient satisfaction with treatment

The radiation treatment room is maintained at about 22 degrees for the constant temperature and humidity of the equipment, so it is cold for the patient to feel, and it is possible to feel noise and overpressure due to the characteristics of the equipment. Therefore, there is a high possibility that the psychological state is poor when the patient is treated because tension due to the atmosphere of the treatment room is added to anxiety due to cancer treatment. Through the present invention, if a patient is exposed to the treatment room environment multiple times to be familiar with the entire process performed in the treatment room, psychological adaptation may reduce anxiety during treatment and increase patient satisfaction with treatment.

(2) Movement decrease during treatment

Radiation may be irradiated to the wrong position when the posture when the therapeutic CT is taken and the posture during actual treatment are different. To this end, various patient fixation tools are used, but it is not possible to closely support the muscle relaxation depending on the patient's tension. When the patient's tension is lowered through the present invention, the patient's tension in the CT and the patient's tension in the radiation treatment room can be maintained at a similar level to match the degree of muscle relaxation of the patient at a similar level. This may be helpful for high-precision radiation therapy by increasing the patient's posture reproduction.

(3) Increase the patient's respiratory therapy effect and quantify tension

It is difficult to quantitatively evaluate the patient's tension with a psychological amount. Many studies use a questionnaire for quantification, but it is difficult to quantify patient tension. In addition, there is a problem that the respiratory treatment for a patient is not properly performed. However, according to the present invention, by defining the HRV (Heart Rate Variability), which identifies the patient's self-awareness, as an amount representing the patient's tension, it is possible to easily grasp the patient's tension and increase the effectiveness of respiratory therapy. You can selectively increase the number of exposures of virtual reality to increase the degree of adaptation to treatment.

1 is a flowchart illustrating a method of optimizing respiratory synchrotron radiation therapy in a patient using virtual reality according to an embodiment of the present invention.
2 is a flowchart illustrating a signal evaluation and correlation analysis step according to an embodiment of the present invention.
FIG. 3 is a flowchart illustrating a process for quantifying tension according to signal analysis according to an embodiment of the present invention and for predicting fitness of a respiratory therapy technique.
4 is a block diagram showing a system for optimizing respiratory synchrotron radiation therapy of a patient using virtual reality according to an embodiment of the present invention.

Terms used in the specification will be briefly described, and the present invention will be described in detail.

The terminology used in the present invention has been selected from the general terms that are currently widely used as possible while considering the functions in the present invention, but this may vary depending on the intention or precedent of a person skilled in the art or the appearance of new technologies. In addition, in certain cases, some terms are arbitrarily selected by the applicant, and in this case, their meanings will be described in detail in the description of the applicable invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the entire contents of the present invention, not a simple term name.

When a certain part of the specification "includes" a certain component, this means that other components may be further included instead of excluding other components unless otherwise specified. In addition, terms such as "... unit", "unit", and "module" described in the specification mean a unit that processes at least one function or operation, which is implemented in hardware or software, or a combination of hardware and software. Can be implemented. In addition, when a part is "connected" to another part in the specification, this includes not only "directly connected" but also "connected with other components in between".

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art to which the present invention pertains may easily practice. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. In addition, in order to clearly describe the present invention in the drawings, parts irrelevant to the description are omitted, and like reference numerals are assigned to similar parts throughout the specification.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a flowchart illustrating a method of optimizing respiratory synchrotron radiation therapy in a patient using virtual reality according to an embodiment of the present invention.

Referring to FIG. 1, a method for optimizing respiratory synchrotron radiation therapy of a patient using virtual reality according to an embodiment of the present invention is to model virtual reality for respiratory synchrotron radiation therapy and output the modeled virtual reality Step (S100) provided by (200), step (S200) of measuring a patient's breathing signal, tension signal and bio-signal according to virtual reality provided through the output terminal 200 (S200), measured breathing signal, tension signal and living body Evaluating the signal, analyzing the correlation between the signals (S300) and learning the fitness of the patient's respiratory therapy technique based on the results analyzed through machine learning or deep learning to determine the patient's respiratory therapy technique It may include the step of generating a predictive model (S400).

In step (S100) of modeling virtual reality for respiratory synchrotron radiation treatment according to an embodiment of the present invention and providing the modeled virtual reality to the output terminal 200, the virtual reality modeling unit 10 generates Virtual reality may include places according to the respiratory synchrotherapy process. For example, respiratory synchrotherapy can be performed in the order of Interview -> Respiration training -> CT (Computed Tomography) simulation -> Radiation therapy, whereby virtual reality is interviewed by the virtual reality modeling unit 10. For the treatment room, respiratory training room, CT simulation room, and radiation treatment room, 3D modeling can be implemented.

If the locations according to the respiratory synchrotron radiation treatment process are modeled as virtual reality in the virtual reality modeling unit 10 as described above, the modeled virtual reality may be exposed to the patient by being provided to the output terminal 200. At this time, the virtual reality provided from the virtual reality modeling unit 10 to the output terminal 200 may be provided according to the order of the respiratory synchrotron radiation treatment process. For example, according to the above-described treatment process, virtual reality may be provided to the output terminal 200 in the order of a respiratory training room, a CT simulation treatment room, and a radiation treatment room. When a radiation treatment room is provided as a virtual reality, guidance on a process performed in a radiation treatment room such as patient delivery, image guidance, respiratory induction, and irradiation may be provided. Following this guidance, the patient can experience the treatment process of respiratory synchrotron radiation in the provided virtual reality.

The virtual reality output through the output terminal 200 is a concept including both a visually implemented configuration and a soundly implemented configuration. For example, when a virtual reality in which a radiation treatment room is implemented is output to the output terminal 200, a patient (ie a user) CT as well as a visual configuration including CT gantry, couch, etc. of the radiation treatment room The sound configuration for the moving noise of the gantry and the moving noise of the couch may be provided through the output terminal 200.

Meanwhile, the output terminal 200 is a terminal capable of variously outputting a virtual reality environment in a display form or a sound form, such as a head mounted display (HMD), augmented reality (AR)-based lens , Monitor screens, and the like.

When the places according to the respiratory synchrotron radiation treatment process are modeled as virtual reality and exposed to the patient through the output terminal 200, the patient can easily experience and understand the entire process of radiation therapy in advance, so the time of the actual radiation therapy And minimizing costs and improving patient adaptability to radiation therapy.

In the signal measuring unit 20 according to an embodiment of the present invention, the respiratory signal, the tension signal and the biological signal of the patient according to the virtual reality provided through the output terminal 200 (S200), the respiratory signal is a signal measurement The portion 20 may be measured as a change in volume of a point on the patient's body surface or the entire body surface, or as a movement change of a marker inserted into the patient's body. In order to measure the respiratory signal as described above, a sensor for measuring movement or volume change may be worn on a patient's body surface before virtual reality is provided or a marker may be pre-inserted in the patient's body.

At this time, the respiratory signal measured according to an embodiment of the present invention may be classified according to the type of virtual reality and used in a step for generating a prediction model to be described later or as a new input signal. For example, the respiratory signal measured when the virtual reality is the respiratory training room may be utilized in a signal analysis and learning step for generating a predictive model to be described later. In addition, the respiratory signal measured when the virtual reality is a radiotherapy room is a predictive model to be described later according to the measurement time (ex. the time when the virtual reality is first exposed to the patient or the time after the virtual reality is exposed to the patient several times) It can be used in the signal analysis and learning stage to generate, or it can be used as an input signal to analyze the fitness of the respiratory therapy technique through a predictive model.

According to an embodiment of the present invention, the tension signal may include an ECG (Electroencephalogram) signal and an EKG (Electrocardiogram) signal. The ECG signal refers to a signal value measuring the electric potential change caused by the activity of the cerebral cortex and the brain current caused by the EEG, and the EKG signal refers to a signal value measuring the electrocardiogram. Before the virtual reality is provided for the measurement of the tension signal, an EEG measurement sensor and an ECG measurement sensor may be worn on the patient's body in advance. The measured tension signal (ex. ECG signal and EKG signal, etc.) can be used to quantify the state of tension for the patient's respiratory syncytial radiotherapy.

According to an embodiment of the present invention, the biological signal may include a patient's voice signal and a visual signal. The bio-signal here refers to a patient's physical change to the environment realized by virtual reality. For example, when the virtual reality is a radiation treatment room, a change in the field of view (e.g., movement of the pupil, etc.) due to noise and background changes caused by movement of a machine (ex. gantry or couch) in the treatment room is measured as a biosignal. Can be. Such a bio-signal may be measured through a camera or microphone built in the output terminal 200 itself worn by the patient. The bio-signal measured by the above-described camera or microphone may be used to quantify body changes according to the environment of virtual reality.

Hereinafter, the analysis and learning processes (S300, S400) of the breathing signal, the tension signal, and the biosignal will be described in more detail with reference to FIG. 2.

2 is a flow chart showing a signal evaluation and correlation analysis step (S300) according to an embodiment of the present invention, Figure 3 is a signal analysis according to an embodiment of the present invention to quantify the tension and predict the fitness of the respiratory therapy technique It is a flowchart that embodies the process.

2 and 3, evaluating a respiratory signal, a tension signal and a biosignal measured in the first data analysis unit 30 according to an embodiment of the present invention, and analyzing the correlation between the signals ( In step S300), the first analysis unit 31 evaluates the effect of the virtual reality environment on the patient's tension based on the tension signal and the biosignal, and analyzes the correlation between the virtual reality environment and the patient's tension. It may include (S310).

Analyzing the correlation between the environment of the virtual reality and the patient's tension according to an embodiment of the present invention (S310) is a data analysis process by the first analysis unit 31, the respiratory synchrotron radiation implemented through the virtual reality It can be understood as a process of quantifying the patient's tension according to changes in the surrounding environment for treatment, and grasping the correlation between the surrounding environment and the patient's tension.

For example, when the virtual reality is a radiotherapy room, in the first analysis unit 31, noise and background changes caused by movement of a machine (eg, gantry or couch) in the treatment room based on the bio-signal and the tension signal are used. It is possible to analyze how the patient's EEG (ie ECG signal) and electrocardiogram (ie EKG signal) change according to the visual field change (ex. pupil movement, etc.). Through this, the first analysis unit 31 can evaluate and quantify the effect of the virtual reality environment on the patient's tension, and derive a correlation between changes in the surrounding environment and the patient's tension.

Also, referring to FIGS. 2 and 3, the respiratory signal, the tension signal, and the biosignal measured by the first data analysis unit 30 according to an embodiment of the present invention are evaluated, and the correlation between the signals is analyzed. Step (S300), the second analysis unit 32 on the basis of the respiratory signal and the tension signal to evaluate the effect of the patient's tension on the patient's breathing, and analyze the correlation between the patient's tension and the patient's breathing It may include (S320).

The step of analyzing the correlation between the patient's tension and the patient's breath according to an embodiment of the present invention (S320) is a data analysis process by the second analysis unit 32, and respiratory synchrotron radiotherapy implemented through virtual reality In the process, it can be understood as a process of quantifying changes in the patient's respiratory volume and breathing cycle according to the patient's tension, and grasping the correlation between the patient's tension and the patient's respiratory changes.

For example, when the virtual reality is a radiotherapy room, in the second analysis unit 32, the patient's EEG (ie ECG signal) and electrocardiogram (ie EKG signal) measured in all processes such as patient delivery, image induction, and breath induction. Depending on how the patient's breathing volume, breathing cycle, etc., can be analyzed. Through this, the second analysis unit 32 can evaluate and quantify how the patient's tension affects the patient's respiratory changes, and derive a correlation between the patient's tension and the patient's respiratory volume, respiratory changes such as breathing cycle can do.

Referring to FIGS. 2 and 3, when the analysis (S300) of the above-described breathing signal, tension signal, and biosignal according to an embodiment of the present invention is completed, the prediction model generator 40 performs machine learning or deep learning. A predictive model for determining a patient's respiratory therapy technique may be generated by learning the fitness of the patient's respiratory therapy technique based on the analyzed result (S400 ).

For example, as a result of analysis of the breathing signal itself, when the virtual reality is the respiratory treatment room, a respiratory change according to the respiratory treatment technique of the selected patient is derived, and the correlation between the virtual reality environment and the patient's tension and the patient's tension and When a correlation between breaths is derived, the predictive model generation unit 40 may learn how suitable the current patient's respiratory therapy technique is through machine learning or deep learning. The predictive model generation unit 40 clusters the patient group according to the necessity of the respiratory therapy technique, the patient group according to the type of the respiratory therapy technique, and the like, through the learning process to determine the predictive model for determining the patient's respiratory therapy technique. Can be created.

Meanwhile, the respiratory treatment technique refers to a treatment technique for controlling breathing of a patient in the course of respiratory synchrotherapy. For example, respiratory therapy techniques may include breath hold (BH), active breath control (ABC), or shallow breathing to control movement of the patient's breathing and linked internal organs. If the patient does not need a separate respiration treatment technique through a predictive model (ie, the patient's posture and breathing reproducibility are high), free breathing that irradiates tumors moving according to natural breathing without controlling breathing separately Method can be used.

Referring to FIG. 3, a method of optimizing a patient's respiratory synchrotron radiation therapy using a virtual reality according to an embodiment of the present invention includes: a second data analysis unit 50 measures a patient's respiratory signal and tension signal If it is input from (ex. EEG measurement sensor, ECG sensor, etc.), it may further include the step of predicting the fitness of the patient's respiratory therapy technique using a predictive model (S500). The input patient's breathing signal and tension signal may be a signal measured in the process of providing virtual reality or a signal measured in real reality as the patient performs a radiotherapy process.

For example, when the radiotherapy room is exposed to a patient as a virtual reality and the respiratory signal and the tension signal are measured, when the measured respiratory signal and the tension signal are input to the second data analysis unit 50, analysis of the corresponding signal is performed. Through this, quantitative evaluation values can be derived. The second data analysis unit 50 may predict fitness for a respiratory therapy technique through a predictive model based on the derived quantitative evaluation value.

At this time, the fitness of the respiratory therapy technique predicted by the predictive model may be estimated in different forms depending on whether there is a respiratory therapy technique currently being performed by the patient. For example, if there is a breathing treatment technique currently performed by a patient, information on how suitable the breathing technique currently performed is suitable for a patient may be derived along with a numerical value such as a percentage value. If there is no respiratory therapy technique currently being performed by the patient, whether or not the current patient needs respiratory therapy is analyzed first. Can be derived together.

The second data analysis unit 50 according to an embodiment of the present invention utilizes the predictive model as described above, to determine whether a patient needs a respiratory therapy technique, and if a respiratory therapy technique is required, which respiratory therapy technique is suitable for the patient? And how appropriate the patient's current respiratory therapy technique is. Through this, it is possible to improve the efficiency and accuracy of respiratory-synchronized radiotherapy by determining and applying a suitable respiratory therapy method for each patient before actual radiotherapy. In addition, by adjusting the respiratory therapy technique to properly reflect the current state of the patient, it is possible to provide a customized respiratory therapy technique for the patient in real time.

Referring to FIG. 3, an effect of a virtual reality environment on a patient's tension is evaluated based on a tension signal and a biosignal according to an embodiment of the present invention, and a correlation between a virtual reality environment and a patient's tension is analyzed. Step S310 is a factor that increases the patient's tension in the environment of the virtual reality based on the results derived through analysis of the correlation between the virtual reality environment and the patient's tension in the first analysis unit 31 It may include the step (S311) of estimating (Factor).

At this time, the factors that increase the patient's tension may include all specific treatment procedures, as well as visual or sound components such as treatment devices and noise in a virtual reality environment. For example, when noise is generated due to movement of the gantry according to a correlation between the virtual reality environment implemented as a radiotherapy room and the patient's tension in the first analysis unit 31, when the patient's tension is analyzed to be the highest, the gantry The movement noise of can be estimated as a factor that increases the patient's tension. Alternatively, if it is analyzed that the patient's tension is highest in the image induction process of the virtual reality implemented as the radiation treatment room in the first analysis unit 31, the image induction process itself may be estimated as a factor that increases the patient's tension.

As described above, when the analysis of the correlation between the virtual reality environment and the patient's tension is completed, the first analysis unit 31 analyzes the factors causing the patient's tension in the respiratory synchrotron radiation process, and analyzes the process, at any point in time, or It is possible for the patient to accurately grasp which device is strained so that the patient can train or train a clinician.

Referring to FIG. 3, a method of optimizing a patient's respiratory synchrotron radiation therapy using virtual reality according to an embodiment of the present invention is based on factors estimated by the virtual reality modeling unit 10, virtual reality for a patient It may further include the step (S600) of determining the number of exposures and providing virtual reality to the output terminal 200 according to the determined number of exposures.

This can be understood as a process for increasing the adaptability to the actual radiation treatment process while simultaneously reducing the patient's tension with respect to the element by repeatedly exposing the patient with an environmental factor that increases the patient's tension in the radiation treatment process.

At this time, the virtual reality provided to the output terminal 200 according to the determined number of exposures is a part or a process (eg, a gantry movement process in a radiotherapy room) containing a factor that increases the patient's tension, or increases the patient's tension This may be the entire site (eg, radiotherapy room) containing the prescribing factors. In addition, the number of exposures of the virtual reality may be determined according to the strain level of the patient evaluated through the first analysis unit 31.

For example, when the movement noise of the gantry in the radiotherapy room in the first analysis unit 31 is estimated to be a factor that increases the patient's tension, the virtual reality modeling unit 10 in the radiotherapy room according to the patient's tension. The number of exposures for the gantry movement process can be determined five times. Depending on the number of exposures determined as described above, the process of moving the gantry in the radiation treatment room through the output terminal 200 may be repeatedly provided to the patient for 5 times.

Referring to FIG. 3, a method for optimizing respiratory synchrotron radiation therapy of a patient using virtual reality according to an embodiment of the present invention includes additional provision of virtual reality according to the number of exposures determined by the virtual reality modeling unit 10. When complete, the signal measurement unit 20 re-measures the patient's breathing signal, tension level signal, and biosignal to evaluate the patient's tension level in the first data analysis unit 30, and in the second data analysis unit 50 A step (S700) of analyzing the fitness of the patient's respiratory therapy technique through the predictive model may be further included.

This is a result of repeatedly exposing the environmental factors that increase the patient's tension to the patient. As a result, the patient's tension with respect to the factor has actually been reduced to a certain extent, and whether the patient needs a respiratory therapy technique or the current respiratory therapy technique. It can be understood as a feedback process that analyzes whether it has been effectively performed.

That is, according to an embodiment of the present invention, when the respiration signal, the tension signal and the biosignal are re-measured in the signal measuring unit 20 in the additional provision process of virtual reality, the first analysis unit 31 and the second analysis unit ( 32), the above-described signal evaluation and correlation analysis can be performed. At this time, the second data analysis unit 50 may quantify and evaluate the patient's tension based on the results analyzed by each analysis unit, and analyze the fitness of the patient's respiratory therapy technique using a predictive model.

4 is a block diagram illustrating a system 100 for optimizing respiratory synchrotron radiation therapy in a patient using virtual reality according to an embodiment of the present invention.

Referring to FIG. 4, a system 100 for optimizing respiratory synchrotron radiation therapy of a patient using virtual reality according to an embodiment of the present invention models virtual reality for respiration synchrotron radiation therapy and modeled virtual A virtual reality modeling unit 10 that provides reality to the output terminal 200, a signal measuring unit 20 that measures a patient's breathing signal, tension signal, and biosignal according to the virtual reality provided through the output terminal 200, The first data analysis unit 30 for evaluating the measured respiratory signals, tension signals and bio signals, and analyzing the correlation between the signals, and based on the results analyzed through machine learning or deep learning. A predictive model generator 40 may be included to generate a predictive model for determining a patient's respiratory therapy technique by learning fitness.

The data analysis unit according to an embodiment of the present invention evaluates the effect of the virtual reality environment on the patient's tension based on the tension signal and the biosignal, and analyzes the correlation between the virtual reality environment and the patient's tension. 1 Analysis unit (31) and a second analysis unit (32) for evaluating the effect of the patient's tension on the patient's breathing, and analyzing the correlation between the patient's tension and the patient's breathing based on the breathing signal and tension signal It can contain.

The first analysis unit 31 according to an embodiment of the present invention increases the patient's tension in the virtual reality environment based on the results derived through analysis of the correlation between the virtual reality environment and the patient's tension. The factor to be estimated can be estimated.

The virtual reality modeling unit 10 according to an embodiment of the present invention determines the number of exposures of the virtual reality to the patient based on the estimated factors, and additionally outputs the virtual reality to the output terminal 200 according to the determined number of exposures. Can provide.

The system 100 for optimizing respiratory synchrotron radiation treatment of a patient by using virtual reality according to an embodiment of the present invention is further provided with virtual reality according to the number of exposures determined by the virtual reality modeling unit 10 When the signal measuring unit 20 re-measures the patient's respiratory signal, tension signal and bio-signal, evaluates the patient's tension based on the re-measured signals, and uses the predictive model to fit the patient's respiratory therapy technique A second data analysis unit 50 for analyzing may be further included.

With respect to the system 100 according to an embodiment of the present invention, the contents of the above-described method may be applied. Therefore, with respect to the system 100, the description of the same contents as the contents of the above-described method is omitted.

On the other hand, according to an embodiment of the present invention, it is possible to provide a recording medium readable by a computer recording a program for executing the above-described method on a computer. In other words, the above-described method can be written in a program executable on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable medium. Further, the structure of the data used in the above-described method can be recorded on a computer-readable medium through various means. A recording medium that records an executable computer program or code for performing various methods of the present invention should not be understood as including temporary objects such as carrier waves or signals. The computer-readable medium may include a storage medium such as a magnetic storage medium (eg, ROM, floppy disk, hard disk, etc.), optical read media (eg, CD-ROM, DVD, etc.).

The above description of the present invention is for illustration only, and a person having ordinary knowledge in the technical field to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be interpreted to be included in the scope of the present invention. .

10: virtual reality modeling unit 20: signal measurement unit
30: first data analysis unit 31: first analysis unit
32: second analysis unit 40: prediction model generation unit
50: second data analysis unit
100: system for optimizing patient's respiratory synchrotherapy
200: output terminal

Claims (13)

In the method of optimizing the patient's respiratory synchrotherapy using virtual reality,
Modeling virtual reality for the respiratory synchrotherapy, and providing the modeled virtual reality to an output terminal;
Measuring a breathing signal, a tension signal and a biosignal of a patient according to virtual reality provided through the output terminal;
Evaluating the measured respiratory signal, tension signal, and vital signal, and analyzing a correlation between the signals; And
Including machine learning or deep learning to generate a predictive model for determining the patient's respiratory therapy technique by learning the fitness of the patient's respiratory therapy technique based on the analyzed result; includes,
Evaluating the measured respiratory signal, tension signal and biosignal, and analyzing the correlation between the signals,
Evaluating the effect of the virtual reality environment on the patient's tension based on the tension signal and the biosignal, and analyzing a correlation between the virtual reality environment and the patient's tension; And evaluating the effect of the patient's tension on the patient's breathing based on the breathing signal and tension signal, and analyzing the correlation between the patient's tension and the patient's breathing. How to optimize respiratory synchrotherapy.
According to claim 1,
The tension signal includes an ECG (Electroencephalogram) signal and an EKG (Electrocardiogram) signal,
The bio-signal is a method of optimizing patient's respiratory synchrotherapy, characterized in that the patient's voice and visual signals are included.
delete According to claim 1,
Evaluating the effects of the virtual reality environment on the patient's tension based on the tension signal and the biosignal, and analyzing the correlation between the virtual reality environment and the patient's tension,
And estimating a factor that increases the patient's tension in the virtual reality environment based on a result obtained through analysis of a correlation between the virtual reality environment and a patient's tension. How to optimize respiratory synchrotherapy in patients.
The method of claim 4,
And determining the number of exposures of the virtual reality to the patient based on the estimated factor, and further providing the virtual reality to the output terminal according to the determined number of exposures. How to optimize tuned radiation therapy.
The method of claim 5,
When additional provision of virtual reality according to the determined number of exposures is completed, re-measurement of the patient's respiratory signals, tension signals and bio signals to evaluate the patient's tension, and through the predictive model, A method of optimizing respiratory syncytial radiation therapy in a patient, further comprising analyzing the fitness.
In the system for optimizing the patient's respiratory synchrotherapy using virtual reality,
A virtual reality modeling unit for modeling virtual reality for the respiratory synchrotherapy and providing the modeled virtual reality as an output terminal;
A signal measurement unit for measuring a patient's breathing signal, tension signal and bio signal according to virtual reality provided through the output terminal;
A first data analysis unit for evaluating the measured respiratory signal, tension signal, and biosignal, and analyzing correlation between the signals; And
And a predictive model generator for generating a predictive model for determining the patient's respiratory therapy technique by learning the fitness of the patient's respiratory therapy technique based on the analyzed result through machine learning or deep learning.
The data analysis unit,
A first analysis unit and the respiratory signal for evaluating a correlation between the virtual reality environment and the patient's tension, evaluating the effect of the virtual reality environment on the patient's tension based on the tension signal and the biosignal, and And a second analysis unit for evaluating the effect of the patient's tension on the patient's breathing based on the tension signal and analyzing the correlation between the patient's tension and the patient's breathing. System for optimizing radiation therapy.
The method of claim 7,
The tension signal includes an ECG (Electroencephalogram) signal and an EKG (Electrocardiogram) signal,
A system for optimizing respiratory synchrotron radiation treatment of a patient, wherein the biosignal includes the patient's voice signal and a visual signal.
delete The method of claim 7,
The first analysis unit,
Based on the results obtained through the analysis of the correlation between the virtual reality environment and the patient's tension, the patient is characterized by estimating a factor that increases the patient's tension within the virtual reality environment. A system for optimizing respiratory synchrotherapy.
The method of claim 10,
The virtual reality modeling unit,
Optimizing the patient's respiratory synchrotherapy, characterized in that the number of exposures of the virtual reality to the patient is determined based on the estimated factor, and the virtual reality is additionally provided to the output terminal according to the determined number of exposures. System to do.
The method of claim 11,
When the additional provision of virtual reality according to the number of exposures determined by the virtual reality modeling unit is completed, the signal measuring unit re-measures the patient's breathing signal, tension signal, and bio signal,
And a second data analysis unit for evaluating the patient's tension based on the re-measured signals and analyzing the fitness of the patient's respiratory therapy technique through the predictive model. System for optimizing treatment.
A computer-readable recording medium in which a program for implementing the method of any one of claims 1, 2, 4 to 6 is recorded.

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