Household respiratory gating training system, method, device and equipment and medium

Abstract

The invention discloses a household respiratory gating training system, method, device and equipment and a medium, and relates to the technical field of radiotherapy equipment, and the system comprises a respiratory training unit which is used for collecting and converting respiratory training data of a target object, and transmitting the respiratory training data to a visual guidance unit and a mobile terminal APP; the visual guidance unit is used for converting the respiratory training data to obtain a visual respiratory training curve, so that the curve is observed through the visual guidance unit and respiratory regulation is carried out; the mobile terminal APP is used for recording and uploading breathing training data to the breathing management cloud; the respiration management cloud is used for storing the respiration training data uploaded by the mobile terminal APP; and the respiratory gating system workstation is used for downloading the respiratory training data from the respiratory management cloud, making a decision on whether the respiratory training result of the target object meets the gating treatment condition or not based on the respiratory training data, and feeding back the decision result to the mobile terminal APP, so that the target object can obtain the decision result. And household breathing training of the user is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of radiotherapy equipment, and particularly to a home respiratory gating training system, method, device, equipment and medium. Background Art

[0002] In the era of precise radiotherapy, in order to reduce the impact of target area movement caused by the physiological movement of the user's organs (such as breathing) on precise radiotherapy, in recent years, respiratory gating technology has emerged, which can truly reproduce the shape of the tumor and reflect the movement law of the tumor. Physicists and dosimetrists can design individualized radiotherapy plans based on this. In clinical practice, it is found that when hospital physicians use the respiratory gating system to manage the user's respiratory movement, due to individual differences (such as nervousness), a large number of users cannot stably maintain the respiratory amplitude and cycle, and there are problems such as respiratory disorders, large differences in respiratory amplitude, inability to effectively hold breath, and insufficient breath-holding time. Physicians need to conduct repeated training and verification tests on site. Some even ultimately switch to ordinary treatment, seriously affecting the work efficiency of on-site physicians and the implementation of precise radiotherapy.

[0003] Existing solutions mostly involve on-site physicians repeatedly training users in breathing, adjusting the respiratory monitoring position, and repeatedly testing and verifying. After spending a large amount of time, if the requirements are still not met, the user ultimately switches to ordinary treatment (unable to perform gating treatment). However, due to the need for repeated on-site training, adjusting the monitoring position, and repeatedly testing and verifying, there are problems of excessive on-site time consumption and low efficiency; and due to the relatively limited on-site time, users cannot master the skills of stable breathing and long-term breath-holding in a short time, and ultimately cannot perform gating treatment, and cannot effectively perform precise radiotherapy. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a home respiratory gating training system, method, device, equipment and medium, which can realize home respiratory gating training under remote control. The specific solutions are as follows:

[0005] In the first aspect, the present application discloses a home respiratory gating training system, which includes a respiratory training unit, a visual guidance unit, a mobile APP, a respiratory management cloud, and a respiratory gating system workstation. Among them, the mobile APP, the visual guidance unit, and the respiratory training unit are connected through the same set of wireless networks. Among them,

[0006] The respiratory training unit is used to collect and convert the respiratory training data of the target object in real time, and transmit the respiratory training data to the visual guidance unit and the mobile APP through the wireless network;

[0007] The visual guidance unit is configured to receive and convert the respiration training data to obtain a visualized respiration training curve, so that the target object can observe the visualized respiration training curve through the visual guidance unit and perform respiration regulation;

[0008] The mobile APP is configured to record the respiration training data and upload the respiration training data to the respiration management cloud via a first preset remote communication protocol;

[0009] The respiration management cloud is configured to receive and store the respiration training data uploaded by the mobile APP;

[0010] The respiration gating system workstation is configured to download the respiration training data from the respiration management cloud via a second preset remote communication protocol, make a decision on whether the respiration training result of the target object meets the gating treatment condition based on the respiration training data, and feedback the decision result to the mobile APP, so that the target object can obtain the decision result.

[0011] Optionally, the respiration training unit is a respiration sampling mask, and the respiration sampling mask includes a gas flow sensor, a preset respiration sampling conversion algorithm, and a wireless communication module, wherein,

[0012] The gas flow sensor is configured to monitor the respiration airflow rate of the target object in real time;

[0013] The preset respiration sampling conversion algorithm is configured to perform data conversion on the respiration airflow rate to obtain respiration training data including respiration amplitude and respiration frequency;

[0014] The wireless communication module is configured to transmit the respiration training data to the visual guidance unit and the mobile APP according to a preset wireless communication protocol; wherein, if the wireless communication module is a Bluetooth module, the preset wireless communication protocol is a Bluetooth communication protocol; and / or if the wireless communication module is a wireless local area network, the preset wireless communication protocol is a wireless local area network protocol.

[0015] Optionally, the visual guidance unit is a head-mounted VR glasses, and the head-mounted VR glasses include a processor, a display screen, and a dynamic refresh rate adjustment module, wherein,

[0016] The processor is configured to parse the respiration training data to generate respiration curve parameters including respiration amplitude and respiration frequency;

[0017] The dynamic refresh rate adjustment module is configured to receive the respiration curve parameters and dynamically adjust the target refresh rate of the display screen according to the respiration frequency to ensure that the respiration curve change is synchronized with the actual respiration action of the target object;

[0018] The display screen is used to render a breathing training curve in real time in the form of color gradient based on the target refresh rate and the breathing curve parameters to obtain a visual breathing training curve.

[0019] Optionally, the breathing gating system workstation includes:

[0020] A breathing gating decision module, configured to determine whether the breathing training data meets a preset gating treatment condition;

[0021] A first output module, configured to, if it is satisfied, output a decision result indicating a breathing gating training result that meets the requirement to the mobile APP;

[0022] A second output module, configured to, if it is not satisfied, output a decision result indicating a breathing gating training result that does not meet the requirement to the mobile APP to prompt the target object to adjust their breathing.

[0023] Optionally, the first preset remote communication protocol is the SSH protocol, and the breathing training data between the mobile APP and the breathing management cloud is transmitted using a preset encryption algorithm; the second preset remote communication protocol is the RDP protocol, and the breathing gating system workstation establishes a real-time data synchronization channel with the breathing management cloud through a two-way handshake protocol.

[0024] Optionally, the home breathing gating training system further includes a visual sampling unit and an interface control unit that are communicatively connected to the breathing gating system workstation, where

[0025] The visual sampling unit is configured to collect changes in the body surface state information of the target object in the treatment room and send the changes in the body surface state information to the breathing gating system workstation to be converted into a real-time breathing motion curve;

[0026] The interface control unit is configured to control the interfaces between different system components in the home breathing gating training system.

[0027] In a second aspect, the present application discloses a home breathing gating training method, including:

[0028] Using a wearable device to collect and convert the breathing training data of the target object in real time;

[0029] Receiving the breathing training data through a wireless network and converting the breathing training data to obtain a visual breathing training curve so that the target object can observe the visual breathing training curve through the display screen of the wearable device and adjust their breathing;

[0030] Recording the breathing training data and uploading the breathing training data to the breathing management cloud through the first preset remote communication protocol;

[0031] Download the respiratory training data from the respiratory management cloud via a second preset remote communication protocol, make a decision on whether the respiratory training result of the target object meets the gating treatment condition based on the respiratory training data, and feedback the decision result to the mobile APP so that the target object can obtain the decision result.

[0032] In a third aspect, the present application discloses a home respiratory gating training device, including:

[0033] A data acquisition module, configured to use a wearable device to collect and convert the respiratory training data of a target object in real time;

[0034] A data conversion module, configured to receive the respiratory training data via a wireless network and convert the respiratory training data to obtain a visual respiratory training curve, so that the target object can observe the visual respiratory training curve through the display screen of the wearable device and perform respiratory regulation;

[0035] A data upload module, configured to record the respiratory training data and upload the respiratory training data to the respiratory management cloud via a first preset remote communication protocol;

[0036] A decision module, configured to download the respiratory training data from the respiratory management cloud via a second preset remote communication protocol, make a decision on whether the respiratory training result of the target object meets the gating treatment condition based on the respiratory training data, and feedback the decision result to the mobile APP so that the target object can obtain the decision result.

[0037] In a fourth aspect, the present application discloses an electronic device, including:

[0038] A memory, configured to store a computer program;

[0039] A processor, configured to execute the computer program to implement the steps of the foregoing disclosed home respiratory gating training method.

[0040] In a fifth aspect, the present application discloses a computer-readable storage medium, configured to store a computer program; wherein, when the computer program is executed by a processor, the steps of the foregoing disclosed home respiratory gating training method are implemented.

[0041] It can be seen that the present application discloses a home respiratory gating training system, which includes a respiratory training unit, a visual guidance unit, a mobile APP, a respiratory management cloud, and a respiratory gating system workstation. Among them, the mobile APP, the visual guidance unit, and the respiratory training unit are connected through the same set of wireless networks. Among them, the respiratory training unit is used to collect and convert the respiratory training data of the target object in real time, and transmit the respiratory training data to the visual guidance unit and the mobile APP through the wireless network; the visual guidance unit is used to receive and convert the respiratory training data to obtain a visual respiratory training curve, so that the target object can observe the visual respiratory training curve through the visual guidance unit and adjust breathing; the mobile APP is used to record the respiratory training data and upload the respiratory training data to the respiratory management cloud through a first preset remote communication protocol; the respiratory management cloud is used to receive and store the respiratory training data uploaded by the mobile APP; the respiratory gating system workstation is used to download the respiratory training data from the respiratory management cloud through a second preset remote communication protocol, and make a decision based on the respiratory training data on whether the respiratory training result of the target object meets the gating treatment condition, and feedback the decision result to the mobile APP, so that the target object can obtain the decision result. Thus, by collecting the respiratory training data of the target object in real time through the respiratory training unit and wirelessly transmitting it to other devices for decision-making, the target object can complete respiratory training at home without frequent visits to the hospital. Further, by converting the respiratory training data into a real-time visual respiratory training curve through the visual guidance unit, the target object can observe the changes in the respiratory curve in real time, independently adjust the breathing rhythm, and improve the training compliance. At the same time, the respiratory training data is automatically synchronized to the respiratory management cloud, which is convenient for doctors to directly access and analyze the corresponding respiratory training data from the respiratory management cloud at any time, and make automated decisions in combination with the gating treatment conditions, reducing the repetitive labor of doctors. Description of the Drawings

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0043] Figure 1 Structural diagram of a home respiratory gating training system disclosed in the present application;

[0044] Figure 2 Structural diagram of a specific home respiratory gating training system disclosed in the present application;

[0045] Figure 3 Flowchart of a home breathing gating training method disclosed in this application;

[0046] Figure 4 Schematic structural diagram of a home breathing gating training device disclosed in this application;

[0047] Figure 5 Structural diagram of an electronic device disclosed in this application. Detailed implementation manners

[0048] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0049] In the era of precise radiotherapy, in order to reduce the impact of target area movement caused by the physiological movement of the user's organs (such as breathing) on precise radiotherapy, in recent years, breathing gating technology has emerged, which can truly reproduce the morphology of tumors and can also reflect the movement law of tumors. Physicists and dosimetrists can design individualized radiotherapy plans based on this. In clinical practice, it is found that when hospital physicians use the breathing gating system to manage the user's breathing movement, due to individual differences (such as nervousness), there are a large number of users whose breathing amplitude and cycle cannot be stably maintained, and there are problems such as breathing disorders, large differences in breathing amplitude, inability to effectively hold the breath, and insufficient breath-holding time. Physicians need to conduct repeated training and repeated verification tests on site. Some even ultimately turn to ordinary treatment, seriously affecting the work efficiency of on-site physicians and the implementation of precise radiotherapy.

[0050] Existing solutions mostly involve physicians repeatedly training users on site, adjusting the breathing monitoring position, and repeatedly testing and verifying. After spending a lot of time, if it still cannot be satisfied, then this user ultimately turns to ordinary treatment (unable to perform gating treatment). However, due to the need for repeated on-site training, adjusting the monitoring position, and repeatedly testing and verifying, there are problems of excessive on-site time consumption and low efficiency; and due to relatively limited on-site time, users cannot master the skills of stable breathing and long-term breath-holding in a short time, and ultimately cannot perform gating treatment and cannot effectively perform precise radiotherapy.

[0051] Therefore, the present invention provides a home breathing gating training solution, which can realize home breathing gating training under remote control.

[0052] Refer to Figure 1As shown in the figure, an embodiment of the present invention discloses a home breathing gating training system. The system includes a breathing training unit 11, a visual guidance unit 12, a mobile APP (Application, third-party application) 13, a breathing management cloud 14, and a breathing gating system workstation 15. Among them, the mobile APP 13, the visual guidance unit 12, and the breathing training unit 11 are connected through the same set of wireless networks. Among them,

[0053] The breathing training unit 11 is configured to collect and convert the breathing training data of the target object in real time, and transmit the breathing training data to the visual guidance unit 12 and the mobile APP 13 through the wireless network;

[0054] The visual guidance unit 12 is configured to receive and convert the breathing training data to obtain a visual breathing training curve, so that the target object can observe the visual breathing training curve through the visual guidance unit 12 and adjust breathing;

[0055] The mobile APP 13 is configured to record the breathing training data and upload the breathing training data to the breathing management cloud 14 through a first preset remote communication protocol;

[0056] The breathing management cloud 14 is configured to receive and store the breathing training data uploaded by the mobile APP 13;

[0057] The breathing gating system workstation 15 is configured to download the breathing training data from the breathing management cloud 14 through a second preset remote communication protocol, make a decision on whether the breathing training result of the target object meets the gating treatment condition based on the breathing training data, and feedback the decision result to the mobile APP 13, so that the target object can obtain the decision result.

[0058] In this embodiment, the breathing training unit 11 is a breathing sampling mask, and the breathing sampling mask includes a gas flow sensor, a preset breathing sampling conversion algorithm, and a wireless communication module. Among them, the gas flow sensor is used to monitor the breathing airflow rate of the target object in real time; the preset breathing sampling conversion algorithm is used to perform data conversion on the breathing airflow rate to obtain breathing training data including breathing amplitude and breathing frequency; the wireless communication module is used to transmit the breathing training data to the visual guidance unit and the mobile APP according to a preset wireless communication protocol; where, if the wireless communication module is a Bluetooth module, the preset wireless communication protocol is a Bluetooth communication protocol; and / or if the wireless communication module is a wireless local area network, the preset wireless communication protocol is a wireless local area network protocol. It can be understood that the target user wears the breathing sampling mask according to the standard wearing requirements to start home breathing training. Among them, when the target user starts normal breathing, the airflow sensor in the breathing sampling mask will monitor the volume or flow velocity of the gas inhaled or exhaled by the target user in the current breathing sampling mask per unit time, that is, the breathing airflow rate. Then, through the breathing sampling conversion algorithm and based on the breathing airflow rate, the breathing cycle is first divided to identify the inhalation phase and the exhalation phase. Specifically, a flow rate threshold is set, such as ±0.1 L / s. When the breathing airflow rate exceeds the flow rate threshold, it is marked as the start of inhalation, and when it is lower than the flow rate threshold, it is marked as the end of exhalation. In the flow rate curve (fitted by the breathing airflow rate at each time point), the inhalation and exhalation phases are divided by the zero crossing point of "positive → negative" or "negative → positive" to obtain the breathing cycle; secondly, the breathing airflow rate at each time point in the flow rate curve is integrated and converted into a breathing volume to represent the breathing depth to obtain the breathing amplitude; the number of complete breathing cycles within a fixed time window (for example, 1 minute) is counted to obtain the breathing frequency of the target user. It should be noted that in order to ensure real-time update, a sliding window algorithm can be used to update and calculate the breathing frequency in real time. Finally, the breathing amplitude, breathing frequency, and timestamp are packed into a JSON or binary format as breathing training data. Further, the breathing training data can carry marks of abnormal events (such as apnea exceeding 5 seconds, severe fluctuations) so that the breathing management cloud can store the marks of breathing training data during abnormal training and the marks of breathing training data during normal training. Then, the breathing training data with marks is transmitted to the visual guidance unit and the mobile APP according to a preset wireless communication protocol. Among them, the size and transmission frequency of the data packet of the breathing training data need to be actually adjusted according to the wireless communication protocol selected in the actual scenario to reduce the transmission load or support high-frequency transmission.

[0059] In this embodiment, the visual guidance unit 12 is a head-mounted VR (Virtual Reality) glasses, which includes a processor, a display screen, and a dynamic refresh rate adjustment module. Among them, the processor is used to analyze the breath training data to generate breath curve parameters including breath amplitude and breath frequency; the dynamic refresh rate adjustment module is used to receive the breath curve parameters and dynamically adjust the target refresh rate of the display screen according to the breath frequency to ensure that the change of the breath curve is synchronized with the actual breathing action of the target object; the display screen is used to render the breath training curve in real time in the form of color gradient based on the target refresh rate and the breath curve parameters to obtain a visual breath training curve. It can be understood that the visual guidance unit 12 is a kind of intelligent head-mounted VR glasses, which includes a processor, a display screen, and a dynamic refresh rate adjustment module. Among them, the processor is used to analyze the breath training data transmitted by the breath training unit 11 to analyze the data packet of the breath training data, generate relevant breath curve parameters including breath frequency and breath amplitude, and input the breath curve parameters into the dynamic refresh rate adjustment module. Further, the dynamic refresh rate module dynamically adjusts the target refresh rate of the display screen according to the update frequency of the breath frequency. For example, it is increased to 120Hz at high breath frequency and decreased to 60Hz at low frequency to save energy, so as to ensure that the change of the breath curve is strictly synchronized with the actual breathing action of the target user. In addition, the display screen can specifically be an OLED (Organic Light-Emitting Diode) display screen. The breath curve is rendered in real time through the OLED display screen. During the rendering process, the color of the breath curve changes dynamically according to the breath parameters (such as air flow rate, breath-holding duration). The inhalation stage is a cold color system, such as changing from blue to light blue, and the exhalation stage is a warm color system, such as changing from orange to red. When holding the breath, it is fixed to green. The color dynamic gradient is based on the HSV (Hue, Saturation, Value) color space, which converts the continuous change of the breath amplitude or frequency into a smooth gradient of hue and saturation. Utilizing the pixel-level light control characteristics of the OLED screen, a gradient curve is generated in real time through the GPU (Graphics Processing Unit) acceleration rendering engine to ensure that there is no tearing in the color transition. In this way, the breath training curve can be displayed in the field of view of the glasses in real time, and the target object observes the visual breath training curve through the head-mounted VR glasses and adjusts the breath.

[0060] Furthermore, the mobile APP 13 includes a local breathing data caching module, an abnormal breathing pattern warning module, and a training progress visualization panel; the local breathing data caching module is used to record breathing training data, the abnormal breathing pattern warning module is configured to trigger vibration feedback when detecting breathing disorders, and the training progress visualization panel is used to receive the decision results generated after the workstation evaluates the home breathing training situation.

[0061] In this embodiment, the breathing management cloud 14 is connected to the mobile APP 13 through a first preset remote communication protocol. Among them, the first preset remote communication protocol is the SSH protocol (Secure Shell), and a preset encryption algorithm is used to transmit the breathing training data between the mobile APP and the breathing management cloud; the preset encryption algorithm can be the AES (Advanced Encryption Standard)-256 encryption algorithm. In this way, the security of the breathing training data upload process is ensured through the encryption protocol and the AES-256 encryption algorithm. Furthermore, the breathing management cloud 14 includes a user data partition storage module, a physician identity authentication module, and a data access log tracking module; among them, the patient data partition storage module is used to store the breathing training data of different users in partitions, the physician identity authentication module is used to authenticate the physician's identity before downloading the breathing training data from the user data partition storage module, and the data access log tracking module is used to record all data access behaviors and support audit traceability and analysis of abnormal events.

[0062] In this embodiment, the respiratory gating system workstation 15 includes: a respiratory gating decision module for determining whether the respiratory training data meets the preset gating treatment conditions; a first output module for outputting a decision result indicating that the respiratory gating training result is met to the mobile APP if it is met; and a second output module for outputting a decision result indicating that the respiratory gating training result is not met to the mobile APP if it is not met to prompt the target object to adjust their breathing. It can be understood that the physician downloads the respiratory training data of the target user from the respiratory management cloud 14 through the second preset remote communication protocol in the respiratory gating system workstation, where the second preset remote communication protocol is the RDP (Remote Desktop Protocol) protocol, and the respiratory gating system workstation establishes a real-time data synchronization channel with the respiratory management cloud through a two-way handshake protocol. Through the respiratory gating decision module, the physician can conduct a decision analysis on whether the target user meets the gating treatment conditions based on the above-mentioned respiratory training data. The preset gating treatment conditions include gating treatment conditions where the respiratory amplitude meets the preset respiratory amplitude threshold, the respiratory cycle meets the preset respiratory cycle frequency stability condition, and the breath-holding time meets the breath-holding time threshold; the decision results include a respiratory training compliance level score, a recommended treatment time window, and personalized breathing adjustment suggestions; the mobile APP is configured to automatically generate a treatment appointment reminder based on the decision results.

[0063] Such as Figure 2As shown, the home breathing gating training system further includes a visual sampling unit 16 and an interface control unit 17 that establish a communication connection with the breathing gating system workstation. Among them, the visual sampling unit 16 is used to collect the changes in the body surface state information of the target object in the treatment room and send the changes in the body surface state information to the breathing gating system workstation to be converted into a real-time respiratory motion curve; the interface control unit 17 is used to control the interfaces between different system components in the home breathing gating training system. It can be understood that before gating radiotherapy, the breathing gating system workstation will use a set of classic breathing training curves of the target user approved by the physician as a reference curve, and then fit and register the real-time respiratory motion curve collected by the on-site visual sampling unit 16. Only when a certain threshold match is met can the target truly undergo gating radiotherapy; at the same time, during breathing gating treatment, the breathing gating system workstation will interact with the radiotherapy equipment through the interface control unit 17 to assist the radiotherapy equipment in beam triggering, beam stopping, etc. management, thereby ensuring the implementation of precise radiotherapy. Specifically, the interface control unit 17 is a series of software interfaces and electrical interfaces; such as the gating trigger signal and interlock signal control between the breathing gating system workstation and the radiotherapy equipment; such as the patient information management interface control between the breathing gating system workstation and the radiotherapy network; and such as some communication information interaction interface controls between the breathing gating system and the radiotherapy equipment; the main function is to assist the breathing gating system workstation in beam triggering and beam stopping of the radiotherapy equipment; in addition, the breathing gating system workstation is connected to the radiotherapy equipment through the DICOM (Digital Imaging and Communications in Medicine) protocol and is configured with a beam trigger signal dynamic adjustment module, and the module controls the beam start and stop according to the fitting degree of the real-time respiratory curve and historical data.

[0064] As can be seen, the present application discloses a home respiratory gating training system, which includes a respiratory training unit, a visual guidance unit, a mobile APP, a respiratory management cloud, and a respiratory gating system workstation. Among them, the mobile APP, the visual guidance unit, and the respiratory training unit are connected through the same set of wireless networks. Among them, the respiratory training unit is used to collect and convert the respiratory training data of the target object in real time, and transmit the respiratory training data to the visual guidance unit and the mobile APP through the wireless network; the visual guidance unit is used to receive and convert the respiratory training data to obtain a visualized respiratory training curve, so that the target object can observe the visualized respiratory training curve through the visual guidance unit and adjust breathing; the mobile APP is used to record the respiratory training data and upload the respiratory training data to the respiratory management cloud through a first preset remote communication protocol; the respiratory management cloud is used to receive and store the respiratory training data uploaded by the mobile APP; the respiratory gating system workstation is used to download the respiratory training data from the respiratory management cloud through a second preset remote communication protocol, and make a decision based on the respiratory training data on whether the respiratory training result of the target object meets the gating treatment condition, and feedback the decision result to the mobile APP, so that the target object can obtain the decision result. Thus, by collecting the respiratory training data of the target object in real time through the respiratory training unit and wirelessly transmitting it to other devices for decision-making, the target object can complete respiratory training at home without having to go to the hospital frequently. Further, by converting the respiratory training data into a real-time visualized respiratory training curve through the visual guidance unit, the target object can observe the changes in the respiratory curve in real time, independently adjust the breathing rhythm, and improve the training compliance. At the same time, the respiratory training data is automatically synchronized to the respiratory management cloud, which is convenient for doctors to directly access and analyze the corresponding respiratory training data from the respiratory management cloud at any time, and make automated decisions in combination with the gating treatment conditions, reducing the repetitive work of doctors.

[0065] Referring to Figure 3 as shown, the present invention correspondingly discloses a home respiratory gating training method, including:

[0066] Step S11: Use a wearable device to collect and convert the respiratory training data of the target object in real time.

[0067] In this embodiment, when the doctor selects to perform a gating treatment plan on the target object, a home respiratory training task is first arranged. The target user uses a wearable device including a smart respiratory sampling mask and a head-mounted VR glasses to collect personal respiratory training data information in real time to obtain respiratory training data.

[0068] Step S12: Receive the breathing training data via a wireless network, and transform the breathing training data to obtain a visualized breathing training curve, so that the target object can observe the visualized breathing training curve through the display screen of the wearable device and adjust breathing accordingly.

[0069] In this embodiment, the breathing training data is sent in real time via a wireless network, such as Bluetooth or WiFi (Wireless Fidelity), to the head-mounted VR glasses and the breathing training APP on the mobile device of the target user, that is, the mobile APP. After receiving the breathing training data, the head-mounted VR glasses transform these data into a breathing training curve in real time, so that the target user can observe the current breathing condition in real time in the glasses' field of view and can adjust it automatically.

[0070] Step S13: Record the breathing training data, and upload the breathing training data to the breathing management cloud via a first preset remote communication protocol.

[0071] In this embodiment, after the breathing training data is transmitted to the mobile APP, the mobile APP will record these breathing training data and send them to the breathing management cloud via a first preset remote connection communication method, such as remote connection communication protocols like SSH, RDP, or FTP (File Transfer Protocol).

[0072] Step S14: Download the breathing training data from the breathing management cloud via a second preset remote communication protocol, make a decision on whether the breathing training result of the target object meets the gating treatment condition based on the breathing training data, and feedback the decision result to the mobile APP so that the target object can obtain the decision result.

[0073] In this embodiment, the physician downloads the breathing training data from the breathing management cloud on the breathing gating system workstation through the second preset remote communication protocol for decision-making analysis. Specifically, it is achieved by judging whether each breathing training parameter of the breathing training data meets the breathing amplitude threshold condition, the breathing frequency stability evaluation condition, and the breath-holding time threshold condition. If the conditions are met, the decision result will be sent to the user's mobile APP to prompt the user that the training is completed. At the same time, a set of classic breathing training data will be extracted as a reference. If not, the decision result indicating that the gating treatment condition is not met will also be sent to the mobile APP to prompt the user that there is a problem with the current breathing gating training and that they need to continue training at home. Further, when the user finds that the breathing training has passed on the mobile APP, they can independently make an appointment for the gating treatment time and department (treatment room) on the APP. Then, after the user arrives at the scene, the on-site visual sampling unit will collect the user's real-time breathing data information and transmit it to the breathing gating system workstation. Then, the breathing gating system workstation will perform temporal registration and fitting on the real-time breathing data and the extracted classic breathing training data of this patient. If it is within the threshold range set by the physician, it is considered that the patient can undergo subsequent gating treatment. During the gating treatment process, the breathing gating system workstation will receive the patient data information sent by the visual sampling unit in real time and then monitor and manage the breathing movement of the patient during the treatment process. If it exceeds the set threshold range, the interface control unit will assist the radiotherapy equipment to perform a beam stop operation to ensure the implementation of precise radiotherapy.

[0074] It can be seen that the present application discloses a home breathing gating training method, including: using a wearable device to collect and convert the breathing training data of a target object in real time; receiving the breathing training data through a wireless network, and converting the breathing training data to obtain a visual breathing training curve, so that the target object can observe the visual breathing training curve through the display screen of the wearable device and perform breathing adjustment; recording the breathing training data, and uploading the breathing training data to a breathing management cloud through a first preset remote communication protocol; downloading the breathing training data from the breathing management cloud through a second preset remote communication protocol, and making a decision on whether the breathing training result of the target object meets the gating treatment condition based on the breathing training data, and feeding back the decision result to a mobile APP, so that the target object can obtain the decision result. Thus, through home breathing training for the target object, the real-time breathing training situation of the target object can be observed in real time in a VR glasses, and at the same time, the APP installed on the patient's mobile phone can record the breathing training situation, and through the cloud server, the above breathing training situation can be seen by a doctor. The doctor can make a decision analysis on whether the patient meets the gating treatment condition with the help of the above breathing training data information. When it is met, the doctor can inform the patient through the APP that the patient can make a gating treatment appointment. After the patient makes an appointment, a large amount of breathing training is not required before on-site gating treatment, and it is not necessary for the doctor to change the monitoring area position on-site and perform a large number of iterative tests and verifications on-site, which can save a lot of on-site training time for the doctor, effectively improve the on-site work efficiency, more effectively ensure the patient's breathing stability, effectively ensure the implementation of gating radiotherapy, and further ensure the implementation of precise radiotherapy.

[0075] Referring to Figure 4 as shown, the present invention also correspondingly discloses a home breathing gating training device, including:

[0076] A data acquisition module 11, configured to use a wearable device to collect and convert the breathing training data of a target object in real time;

[0077] A data conversion module 12, configured to receive the breathing training data through a wireless network, and convert the breathing training data to obtain a visual breathing training curve, so that the target object can observe the visual breathing training curve through the display screen of the wearable device and perform breathing adjustment;

[0078] A data upload module 13, configured to record the breathing training data, and upload the breathing training data to a breathing management cloud through a first preset remote communication protocol;

[0079] A decision-making module 14 is configured to download the breathing training data from the breathing management cloud through a second preset remote communication protocol, make a decision on whether the breathing training result of the target object meets the gating treatment condition based on the breathing training data, and feedback the decision result to the mobile APP so that the target object can obtain the decision result.

[0080] It can be seen that through the home breathing training of the target object, the real-time breathing training situation of the target object can be observed in real time in the VR glasses. At the same time, the APP installed on the patient's mobile phone can record the breathing training situation, and through the cloud server, the above-mentioned breathing training situation can be seen by the doctor. With the help of the above-mentioned breathing training data information, the doctor can make a decision analysis on whether the patient meets the gating treatment condition. When it is met, the doctor can inform the patient through the APP that they can make a gating treatment appointment. After the patient makes an appointment, there is no need for a large amount of breathing training before on-site gating treatment, no need for the doctor to change the monitoring area position on-site, and no need for the doctor to conduct a large number of iterative tests and verifications on-site, which can save a lot of on-site training time for the doctor, effectively improve the on-site work efficiency, more effectively ensure the patient's breathing stability, effectively ensure the implementation of gating radiotherapy, and thus ensure the implementation of precise radiotherapy.

[0081] Furthermore, an embodiment of the present application also discloses an electronic device. Figure 5 It is a structural diagram of an electronic device 20 shown according to an exemplary embodiment. The content in the figure should not be regarded as any limitation on the scope of use of the present application.

[0082] Figure 5 It is a schematic structural diagram of an electronic device 20 provided by an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. Among them, the memory 22 is used to store a computer program, and the computer program is loaded and executed by the processor 21 to implement the relevant steps in the home breathing gating training method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0083] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows is any communication protocol applicable to the technical solution of the present application, and no specific limitation is imposed on it here; the input / output interface 25 is used to obtain external input data or output data to the outside, and its specific interface type can be selected according to specific application needs, and no specific limitation is made here.

[0084] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), or PLA (Programmable Logic Array). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor used to process data in the wake state, also known as the CPU (Central Processing Unit); the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 21 may be integrated with a GPU (Graphics Processing Unit), and the GPU is responsible for the rendering and drawing of the content to be displayed on the display screen. In some embodiments, the processor 21 may further include an AI (Artificial Intelligence) processor, and the AI processor is used to process computational operations related to machine learning.

[0085] In addition, the memory 22, as a carrier for resource storage, may be a read-only memory, a random access memory, a magnetic disk, or an optical disc, etc. The resources stored thereon may include an operating system 221, a computer program 222, etc., and the storage method may be transient storage or permanent storage.

[0086] Among them, the operating system 221 is used to manage and control each hardware device and the computer program 222 on the electronic device 20, so as to implement the operation and processing of the massive data 223 in the memory 22 by the processor 21. It may be Windows Server, Netware, Unix, Linux, etc. In addition to the computer program that can be used to complete the home respiratory gating training method executed by the electronic device 20 disclosed in any of the foregoing embodiments, the computer program 222 may further include computer programs that can be used to complete other specific tasks. The data 223 may include not only the data transmitted by external devices received by the electronic device, but also the data collected by its own input / output interface 25, etc.

[0087] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the home respiratory gating training method disclosed above is implemented. For the specific steps of this method, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details will not be repeated here.

[0088] In this specification, the various embodiments are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple. For related parts, reference can be made to the description in the method section.

[0089] Those skilled in the art can further realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application. The steps of the methods or algorithms described in combination with the embodiments disclosed herein can be directly implemented by hardware, software modules executed by a processor, or a combination of the two. The software modules can be placed in a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disk, removable disk, CD-ROM (Compact Disc - Read Only Memory), or any other form of storage medium well-known in the technical field.

[0090] Finally, it should also be noted that in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including", or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article, or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the existence of additional identical elements in the process, method, article, or device comprising the said element.

[0091] The above has introduced the solution provided by the present invention in detail. Specific examples are used in this text to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A home breathing gating training system, characterized in that The system includes a breathing training unit, a visual guidance unit, a mobile APP, a breathing management cloud, and a breathing gating system workstation. Among them, the mobile APP, the visual guidance unit, and the breathing training unit are connected through the same set of wireless networks. Among them, The breathing training unit is used to collect and convert the breathing training data of the target object in real time, and transmit the breathing training data to the visual guidance unit and the mobile APP through the wireless network; The visual guidance unit is used to receive and convert the breathing training data to obtain a visual breathing training curve, so that the target object can observe the visual breathing training curve through the visual guidance unit and adjust breathing; The mobile APP is used to record the breathing training data and upload the breathing training data to the breathing management cloud through the first preset remote communication protocol; The breathing management cloud is used to receive and store the breathing training data uploaded by the mobile APP; The breathing gating system workstation is used to download the breathing training data from the breathing management cloud through the second preset remote communication protocol, make a decision on whether the breathing training result of the target object meets the gating treatment condition based on the breathing training data, and feedback the decision result to the mobile APP so that the target object can obtain the decision result.

2. The home breathing gating training system according to claim 1, wherein, The breathing training unit is a breathing sampling mask, and the breathing sampling mask includes a gas flow sensor, a preset breathing sampling conversion algorithm, and a wireless communication module. Among them, The gas flow sensor is used to monitor the breathing airflow rate of the target object in real time; The preset breathing sampling conversion algorithm is used to convert the breathing airflow rate data to obtain breathing training data including breathing amplitude and breathing frequency; The wireless communication module is used to transmit the breathing training data to the visual guidance unit and the mobile APP according to the preset wireless communication protocol; among them, if the wireless communication module is a Bluetooth module, the preset wireless communication protocol is a Bluetooth communication protocol; and / or if the wireless communication module is a wireless local area network, the preset wireless communication protocol is a wireless local area network protocol.

3. The home breathing gating training system according to claim 1, wherein, The visual guidance unit is a head-mounted VR glasses, and the head-mounted VR glasses include a processor, a display screen, and a dynamic refresh rate adjustment module. Among them, The processor is used to analyze the breathing training data to generate breathing curve parameters including breathing amplitude and breathing frequency; The dynamic refresh rate adjustment module is used to receive the breathing curve parameters and dynamically adjust the target refresh rate of the display screen according to the breathing frequency to ensure that the breathing curve change is synchronized with the actual breathing action of the target object; The display screen is used to render the breathing training curve in real time in the form of color gradient based on the target refresh rate and the breathing curve parameters to obtain a visual breathing training curve.

4. The home breathing gating training system according to claim 1, characterized in that, The breathing gating system workstation includes: A breathing gating decision module, which is used to judge whether the breathing training data meets the preset gating treatment condition; A first output module, configured to output a decision result that meets the respiratory gating training result to the mobile APP if the condition is met; A second output module, configured to output a decision result that does not meet the respiratory gating training result to the mobile APP if the condition is not met, so as to prompt the target object to adjust breathing.

5. The home respiratory gating training system according to claim 1, characterized in that, The first preset remote communication protocol is the SSH protocol, and the respiratory training data between the mobile APP and the respiratory management cloud is transmitted by using a preset encryption algorithm; the second preset remote communication protocol is the RDP protocol, and the respiratory gating system workstation establishes a real-time data synchronization channel with the respiratory management cloud through a two-way handshake protocol.

6. The home respiratory gating training system according to claim 1, wherein It further includes a visual sampling unit and an interface control unit that establish a communication connection with the respiratory gating system workstation, wherein The visual sampling unit is configured to collect the change of the body surface state information of the target object in the treatment room, and send the change of the body surface state information to the respiratory gating system workstation to be converted into a real-time respiratory motion curve; The interface control unit is configured to control the interfaces between different system components in the home respiratory gating training system.

7. A home breathing gating training method, characterized in that, It includes: Using a wearable device to collect and convert the respiratory training data of the target object in real time; Receiving the respiratory training data through a wireless network, and converting the respiratory training data to obtain a visual respiratory training curve, so that the target object can observe the visual respiratory training curve through the display screen of the wearable device and adjust breathing; Recording the respiratory training data, and uploading the respiratory training data to the respiratory management cloud through the first preset remote communication protocol; Downloading the respiratory training data from the respiratory management cloud through the second preset remote communication protocol, making a decision on whether the respiratory training result of the target object meets the gating treatment condition based on the respiratory training data, and feeding back the decision result to the mobile APP so that the target object can obtain the decision result.

8. A home breathing gating training device, characterized in that, It includes: A data acquisition module, configured to use a wearable device to collect and convert the respiratory training data of the target object in real time; A data conversion module, configured to receive the respiratory training data through a wireless network, and convert the respiratory training data to obtain a visual respiratory training curve, so that the target object can observe the visual respiratory training curve through the display screen of the wearable device and adjust breathing; A data upload module, configured to record the respiratory training data, and upload the respiratory training data to the respiratory management cloud through the first preset remote communication protocol; A decision module, configured to download the respiratory training data from the respiratory management cloud through the second preset remote communication protocol, make a decision on whether the respiratory training result of the target object meets the gating treatment condition based on the respiratory training data, and feed back the decision result to the mobile APP so that the target object can obtain the decision result.

9. An electronic device, characterized in that, It includes: A memory, configured to store a computer program; A processor, configured to execute the computer program to implement the steps of the home respiratory gating training method as claimed in claim 7.

10. A computer-readable storage medium, characterized in that, For storing a computer program; wherein, when the computer program is executed by a processor, the steps of the home respiratory gating training method as claimed in claim 7 are implemented.

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