Preoperative body position training and operating bed cooperative control system based on virtual reality

Abstract

The invention provides a virtual reality-based pre-operative body position training and operating bed cooperative control system, and relates to the technical field of medical equipment, and the system comprises a virtual reality simulation device which is used for dynamically displaying a three-dimensional model of a target operative body position to a patient and providing tactile feedback; the wearable sensor array is configured to collect physiological condition information of a patient in preoperative training, and the physiological condition information comprises muscle tension information, heart rate variability information and joint movement angle information; the data co-processing unit is used for generating operating bed control parameters based on the physiological condition information; and the closed-loop feedback control unit is connected to the operating bed executing mechanism and is configured to dynamically adjust the operating bed based on the pre-loaded operating bed control parameters and the physiological state information of the patient monitored in real time in the operation. By means of the technical scheme, the operation efficiency can be improved, and the operation effect can be guaranteed.

Description

Technical Field

[0001] This application relates to the technical field of medical devices, and particularly to a preoperative body position training and operating table collaborative control system based on virtual reality. Background Art

[0002] In current medical surgery practices (such as related surgeries in the pain department), operating tables with adjustable body position functions have become key tools for improving surgical efficiency and patient safety. Such operating tables provide diverse body position adjustment options, enabling surgeons to smoothly perform relevant surgeries, thus facilitating the improvement of surgical success rates and the postoperative recovery speed of patients. In practical applications, the operation mode of such adjustments mainly relies on manual adjustments by medical staff to adapt to different surgical requirements and patient postures.

[0003] In the process of implementing the present invention, the inventors found that although this manual adjustment method is widely used in various surgeries and has achieved remarkable results, there are still several challenges in its implementation: for example, to ensure the smooth progress of the surgical procedure, patients are usually required to give appropriate cooperation during body position adjustment. However, there are differences in the physical conditions, comprehension abilities, and response speeds to instructions among different patients, which may lead to inconsistent cooperation problems in actual operations; for another example, for certain complex surgeries or special situations, ideal body position adjustment plans may require highly customized designs, and these designs are often difficult to determine and execute quickly in a tense surgical environment. These problems can essentially be classified as a lack of effective preoperative preparation, which may lead to a series of adverse effects such as extended surgical times and increased surgical risks.

[0004] Therefore, how to optimize the body position control configuration required for surgery before the operation in order to customize the most suitable body position adjustment plan for each patient has become an important research direction for improving surgical efficiency and ensuring surgical effects. Summary of the Invention

[0005] To overcome at least to some extent the problems existing in the related art, embodiments of this application provide a preoperative body position training and operating table collaborative control system based on virtual reality, which adopts a specific system configuration and is based on relevant data generated during preoperative training and intraoperative linkage control to help improve surgical efficiency and ensure surgical effects.

[0006] Some embodiments of this application provide a preoperative body position training and operating table collaborative control system based on virtual reality, and the system includes: A virtual reality simulation device for dynamically displaying a three-dimensional model of the target surgical body position to the patient and providing tactile feedback; A wearable sensor array configured to collect physiological condition information of a patient during preoperative training, where the physiological condition information includes muscle tension information, heart rate variability information, and joint movement angle information; A data collaborative processing unit for generating operating table control parameters based on the physiological condition information; A closed-loop feedback control unit connected to the operating table actuator, configured to dynamically adjust the operating table based on the pre-loaded operating table control parameters and the intraoperative real-time monitored physiological state information of the patient.

[0007] In a possible implementation, the virtual reality simulation device includes: A visualization interaction unit for dynamically rendering the muscle force state of a patient in the surgical position according to the loaded training plan configuration and displaying a breathing rhythm prompt; A tactile feedback unit including a force feedback vest for simulating the pressure distribution during intraoperative position maintenance.

[0008] In a possible implementation, the visualization interaction unit is implemented based on a VR headset device.

[0009] In a possible implementation, the wearable sensor array adopts a modular design, including but not limited to electromyogram sensors, heart rate monitors, and angle sensors; Among them, the electromyogram sensor is used to monitor muscle tension in real time; the heart rate monitor is used to monitor the cardiac activity state of the patient; the angle sensor is used to measure the movement angle of the joint.

[0010] In a possible implementation, the wearable sensor array further includes a galvanic skin response sensor for monitoring the sweat gland activity of the patient to evaluate the patient's emotional state or anxiety level.

[0011] In a possible implementation, the data collaborative processing unit includes: A data analysis module for preprocessing, filtering, and analyzing the physiological condition information obtained from the wearable sensor array, and extracting target key parameters for generating operating table control parameters; A mapping generation module for mapping and obtaining the operating table control parameters based on the target key parameters by invoking a preset parameter mapping relationship configuration, where the operating table control parameters at least include a body position tilt angle threshold, a support point pressure distribution, and a maintenance time threshold.

[0012] In a possible implementation, the data collaborative processing unit further includes: An interaction management module for providing an interaction interface for medical staff to view and adjust the operating table control parameters.

[0013] In one possible implementation, the data analysis module further includes an anomaly detection sub-module, which is used to monitor in real time the physiological condition information obtained from the wearable sensor array, and when an abnormal value exceeding the preset safety range is detected, a preset alarm output is performed.

[0014] In one possible implementation, the closed-loop feedback control unit is configured as follows: When the patient's physiological state information indicates that the blood oxygen saturation drops to a preset warning value, the control the operating table actuator to adjust the body position tilt angle to the safe range.

[0015] In one possible implementation, the operating table is an intelligent bed configured with a distributed pressure adjustment air cushion unit, and the closed-loop feedback control unit is further configured as follows: When it is detected during the operation that the local contact pressure value exceeds 120% of the support point pressure distribution threshold, the air cushion unit is automatically triggered to perform pressure redistribution.

[0016] In the technical solution of the preoperative body position training and operating table collaborative control system based on virtual reality of the present application, by integrating a virtual reality simulation device, a wearable sensor array, a data collaborative processing unit, and a closed-loop feedback control unit, highly personalized and intelligent management of the patient's body position adjustment during the operation is realized, and the following technical effects are achieved: The three-dimensional model of the target surgical body position is displayed to the patient through the virtual reality simulation device, and tactile feedback is provided, so that the patient can fully understand and adapt to the required surgical body position before the operation, thereby improving the cooperation degree of the body position adjustment during the operation, and the tactile feedback unit such as the force feedback vest can simulate the intraoperative pressure distribution, further enhancing the patient's experience; the wearable sensor array is used to collect and analyze the patient's physiological condition information in real time, including key parameters such as muscle tension, heart rate variability, and joint movement angle, and the data collaborative processing unit can generate personalized operating table control parameters, which is beneficial to avoiding related problems caused by individual differences; the closed-loop feedback control unit combines the patient's physiological state information monitored in real time during the operation, and dynamically adjusts the operating table configuration, such as automatically adjusting the body position tilt angle to the safe range when the blood oxygen saturation drops to the warning value, or triggering the air cushion unit to perform pressure redistribution when the local contact pressure is too high. These functions effectively reduce the surgical risk and ensure the safety of the patient.

[0017] In summary, the preoperative body position training and operating table collaborative control system based on virtual reality proposed in the present application greatly improves the deficiencies in the traditional surgical preparation process, and provides strong support for improving the surgical success rate and the patient's postoperative rehabilitation speed.

[0018] Other advantages, objects, and features of the present application will be set forth in part in the following description, and in part will be obvious to those skilled in the art from a review of the following, or may be learned from practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings are used to provide a further understanding of the technical solutions of the present application or the prior art, and constitute a part of the specification. Among them, the drawings expressing the embodiments of the present application are used together with the embodiments of the present application to explain the technical solutions of the present application, but do not constitute a limitation on the technical solutions of the present application.

[0020] Figure 1 Schematic diagram of the system block diagram of the preoperative body position training and operating table collaborative control system based on virtual reality provided for an embodiment of the present application; Figure 2 Schematic diagram of the block diagram of the virtual reality simulation device in an embodiment of the present application; Figure 3 Schematic diagram of the block diagram of the data collaborative processing unit in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be described in detail below. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other implementation manners obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present application belong to the scope protected by the present application.

[0022] In current medical surgical practice, especially in pain surgery, operating tables with adjustable position functions have become a key tool to improve surgical efficiency and patient safety. This type of operating table provides a variety of position adjustment options, allowing surgeons to smoothly perform related surgeries, thereby improving the success rate of surgery and the speed of postoperative recovery of patients. In fact, during the application process, this adjustment operation mode mainly relies on manual adjustments by medical staff to adapt to different surgical needs and patient postures to ensure the smooth progress of the surgical process. However, the inventors found that although this manual adjustment method is widely used in various types of surgeries and has achieved remarkable results, its implementation still faces several challenges: for example, in order to ensure the smooth progress of the operation, the patient is usually required to cooperate appropriately when adjusting the body position. However, different patients have different physical conditions, comprehension abilities, and reaction speeds to instructions. This may lead to inconsistent cooperation in actual operations, increasing the uncertainty and complexity of the operation. For example, for certain complex operations or special situations, ideal body position adjustment plans may require highly customized designs. These designs are often difficult to determine and execute quickly in a tense surgical environment because they require comprehensive consideration of many factors, including but not limited to the patient's special physical condition, the type of operation and its special requirements. These problems can essentially be classified as a lack of effective preoperative preparation. Such problems may lead to a series of adverse effects such as prolonged operation time and increased surgical risks, which in turn have a negative impact on the overall quality and effectiveness of the operation, and may even affect the patient's recovery and long-term health status. Therefore, how to optimize the posture control configuration required for surgery before surgery so as to tailor the most suitable posture adjustment plan for each patient has become an important research direction to improve surgical efficiency and ensure surgical results, aiming to reduce unnecessary surgical risks and complications while improving the patient's overall treatment experience.

[0023] Based on this, the present application proposes a virtual reality-based preoperative posture training and operating table collaborative control system, which adopts a specific system configuration, based on the relevant data generated by preoperative training and linkage control during surgery, to help improve surgical efficiency and ensure surgical results.

[0024] like Figure 1 As shown, in one embodiment, the virtual reality-based preoperative posture training and operating table collaborative control system of the present application includes: A virtual reality simulation device 100 is used to dynamically display a three-dimensional model of the target surgical position to the patient and provide haptic feedback. It is easy to understand that this virtual reality simulation device is used in the pre-operative training education process. Through the virtual reality device, the patient can clearly and intuitively understand the specific postures and requirements of the body during the operation. This method helps to relieve the patient's nervousness and improve their understanding and cooperation with the operation process, thus laying a good foundation for the smooth progress of the operation. Specifically, in some embodiments, such as Figure 2 shown, the virtual reality simulation device 100 includes: A visualization interaction unit 110, which is used to dynamically render the muscle force state of the patient in the surgical position according to the loaded training plan configuration and display a breathing rhythm prompt. This unit is specifically designed to dynamically render the muscle force state of the patient in the surgical position according to the loaded training plan configuration. For example, by using a fine three-dimensional modeling technique (it is necessary to take relevant modeling means in advance to collect data from the patient and perform three-dimensional modeling based on the obtained data such as the patient's body posture), it can display the force conditions of each muscle group of the patient in a specific surgical posture in real time, helping the patient to more intuitively understand the state changes of the body during the operation. This unit also provides a breathing rhythm prompt function, guiding the patient to adjust the breathing frequency and depth through visual signals or audio instructions to ensure that it matches the surgical requirements. This kind of breathing management is crucial for reducing the risk of complications during the operation. The breathing rhythm prompt not only helps to improve the patient's comfort but also promotes intraoperative cooperation, ensuring a smoother and more successful operation process, and greatly enhancing the patient's understanding and support for the operation preparation.

[0025] As a specific embodiment, the visualization interaction unit 110 can be implemented based on a VR headset device, such as HTC VIVE series devices, etc. Based on the hardware conditions of such devices and combined with the requirements of this scenario, relevant content adaptation can be carried out to implement this visualization interaction unit.

[0026] Such as Figure 2 shown, in these embodiments, the virtual reality simulation device 100 also includes a haptic feedback unit 120, such as a force feedback vest, which is used to simulate the pressure distribution during intraoperative position maintenance.

[0027] It is easy for those skilled in the art to understand that this vest can provide instant physical feedback according to the user's behaviors and interactions in the virtual environment; specifically in the technical scenario of this application, during the simulated surgical process, when maintaining a specific body position, the force feedback vest can simulate the corresponding pressure distribution, enabling the user to feel the sense of compression as in actual operation, which helps improve the user's understanding of the force conditions on various parts of the body. For example, the force feedback vest can be implemented in the form of pneumatic actuators, such as an internal micro pneumatic actuator array (including several independent airbags), and the airbags are arranged according to the human anatomical partitions (chest and back area, lumbosacral area), etc., and the pressure of each airbag can be independently regulated.

[0028] Furthermore, in some embodiments, the tactile feedback unit 120 may further include a tactile glove, which is generally implemented through bending sensors and vibration motors, and is used for hand movement capture and tactile prompting. In the technical scenario of this application, it can simulate the vibration feedback when holding the handrail during the operation.

[0029] Returning to Figure 1 , the virtual reality-based preoperative body position training and operating table collaborative control system in this application further includes a wearable sensor array 200, which is configured to collect physiological condition information of the patient during preoperative training. Here, the physiological condition information includes muscle tension information, heart rate variability information, and joint movement angle information.

[0030] It is easy for those skilled in the art to understand that the wearable sensor array here is a device for collecting and monitoring the physiological condition of the patient during preoperative training. It realizes data collection through multiple sensors worn on the patient to evaluate key physiological indicators of the patient such as muscle tension, heart rate variability, and joint movement angle; Specifically in actual implementation, the wearable sensor array can adopt a modular design, which includes but is not limited to electromyogram sensors, heart rate monitors, and angle sensors; It is easy to understand that the electromyogram sensor is used to monitor muscle tension in real time. Muscle tension refers to the degree of tightness of the muscle during rest or activity. Understanding muscle tension can help doctors evaluate the patient's physical state and adjust the treatment plan or preoperative preparation as needed; The heart rate monitor is used to monitor the heart activity state of the patient. Heart rate variability refers to the variation of the time interval between heartbeats, which reflects the function state of the autonomic nervous system, especially the balance between the sympathetic and parasympathetic nervous systems. Higher heart rate variability is usually associated with good cardiovascular health and stress recovery ability. Monitoring this indicator helps understand the patient's psychological stress level and the body's adaptability to the upcoming surgery; The angle sensor is used to measure the movement angle of joints. The angle range that the human joints can move is helpful for understanding the physiological characteristics of a specific patient before surgery, and contributes to the effective generation of subsequent operating table control parameters.

[0031] In some specific embodiments, the wearable sensor array may further include a galvanic skin response (GSR) sensor, which is used to monitor the sweat gland activity of the patient to evaluate the patient's emotional state or anxiety level. Galvanic skin response is a very effective physiological indicator for evaluating the patient's emotional state or anxiety level, because when people experience emotional fluctuations or feel stress and anxiety, the body will automatically produce a stress response, resulting in enhanced sweat gland activity. These changes will be reflected in the skin conductance, enabling the GSR sensor to capture these subtle changes.

[0032] It should be noted that the physiological condition information obtained by the above wearable sensor array is obtained during the preoperative position training process, and it is carried by the preoperative training data generated based on the training; for example, during the training process, under the guidance of relevant education, the patient performs preoperative position training to obtain the corresponding training data.

[0033] As Figure 1 shown, the virtual reality-based preoperative position training and operating table collaborative control system in the present application further includes a data collaborative processing unit 300, which is used to generate operating table control parameters based on the physiological condition information; Specifically, as Figure 3 shown, the data collaborative processing unit 300 includes: A data analysis module 310, which is used to preprocess, filter and analyze the physiological condition information obtained from the wearable sensor array, and extract the target key parameters for generating operating table control parameters; A mapping generation module 320, which is used to call the preset parameter mapping relationship configuration based on the target key parameters, and map to obtain the operating table control parameters, where the operating table control parameters at least include the body position tilt angle threshold, the support point pressure distribution and the maintenance time threshold.

[0034] Here it should be noted that the data analysis module extracts valuable information from a large amount of original physiological data (i.e., the training data of a specific patient) obtained from the wearable sensor array. It is easy to understand that in this process, the preprocessing is to clean and format the collected data, remove noise and outliers, such as reducing high-frequency interference in the electrocardiogram signal through filtering technology to ensure the accuracy of subsequent analysis; the filtering and classification processing is based on different types of physiological parameters, such as heart rate, electromyography data, etc., and appropriate algorithms are applied for classification and further filtering, such as using the sliding window averaging method to smooth the data fluctuations for continuously monitored heart rate data, etc. Feature extraction is then performed on the processed training data to obtain target key parameters for generating the operating table control parameters, such as relevant physiological parameters corresponding to the patient maintaining the target body position, such as the range of joint movement, and relevant parameters for evaluating the physical and mental states in the corresponding state, etc.

[0035] The mapping generation module here is used to convert the target key parameters provided by the data analysis module into specific operating table control parameters. Among them, the configuration of the parameter mapping relationship is a key link in the conversion; the parameter mapping relationship configuration is to convert the target key parameters of the corresponding patient into operating table control parameters suitable for the current situation based on the specific structural characteristics of the operating table and the evaluation of the patient's physical and mental states; this configuration not only takes into account the impact of hardware differences on the operation of the operating table, but also fully considers the importance of individual differences to the treatment effect.

[0036] Specifically, for each type of operating table, due to differences in its design, mechanical structure, and function, for the same adjustment requirement, such as the body position tilt angle, the required execution parameters are also different. The parameter mapping relationship configuration needs to accurately reflect these differences to ensure that the instructions can be accurately converted into actual actions; For example, each patient has individual differences, including but not limited to factors such as the range of joint movement, physical condition, and psychological tolerance. For different patient states, even for the same range of joint movement or physiological indicators, the finally converted operating table control parameters will also be adjusted; for example, if the patient has poor psychological or physiological tolerance, certain control parameters may need to be reduced to improve comfort and safety.

[0037] And it is easy to understand that the configuration of the parameter mapping relationship mentioned here can be a static mapping based on empirical rules in actual implementation, according to relevant medical clinical knowledge bases, including anatomical standard parameters, department expert experience, etc., taking the relevant target key parameters in the patient's training data as input and considering the hardware performance parameters of the operating table; for example, the implementation form of this static mapping can be an IF-THEN rule, such as "if the surgical type == "minimally invasive disc surgery": tilt angle = training tolerance angle × 0.9", where 0.9 is a redundancy coefficient for safety considerations.

[0038] Furthermore, with the accumulation of relevant case data, machine learning techniques can also be introduced. Historical surgical data, including preoperative training parameters, intraoperative actual control parameters, postoperative complication records, etc., are used to train relevant models, and this parameter mapping relationship configuration is reflected based on this model. For example, this model can be constructed based on the XGBoost algorithm.

[0039] In some embodiments, the above-mentioned operating table control parameters at least include the body position tilt angle threshold, the support point pressure distribution, and the maintenance time threshold. Here, the body position tilt angle threshold refers to the relevant threshold range for dynamically adjusting the tilt angle of the operating table in a specific body position based on the patient's intraoperative physical signs (such as cardiopulmonary function status); the support point pressure distribution threshold is to consider the risk of pressure injury that may occur during a long operation in certain body positions, and based on the threshold, to determine and optimize the pressure distribution of each support area on the operating table to ensure unobstructed blood circulation; similar to the support point pressure distribution threshold, the maintenance time threshold considers the impact of the support point pressure distribution from the time dimension.

[0040] As Figure 3 shown, as a specific embodiment, the data collaborative processing unit 300 further includes: an interaction management module 330, which is used to provide an interaction interface for medical staff to view and adjust the operating table control parameters. This module aims to provide a medical staff with an intuitive and efficient interface for viewing and adjusting the control parameters of the operating table; in practice, the automatically generated operating table control parameters may need to be fine-tuned according to the actual situation. The design of the interaction management module enables relevant medical staff to further check and confirm these parameters on the basis of the initial system settings. In addition, this module also supports a manual adjustment function, allowing medical staff to flexibly customize the various control parameters of the operating table based on their professional knowledge and judgment of the actual surgical situation.

[0041] This system setting ensures a good balance between automation and manual intervention, which can not only improve work efficiency by using advanced technical means, but also ensure that medical staff have sufficient flexibility to cope with complex clinical needs. In this way, the practicality and adaptability of the entire system are greatly enhanced, providing a higher level of safety guarantee for the surgical process.

[0042] Furthermore, considering training safety, in some specific embodiments, the data analysis module further includes an anomaly detection sub-module (not shown in the figure), which is used to continuously monitor the physiological condition information obtained from the wearable sensor array. When an abnormal value beyond the preset safety range is detected, a preset alarm output is performed; As described above, this sub-module is specifically used to continuously monitor the user's physiological condition information obtained from the wearable sensor array. Once any abnormal value beyond the preset safety range is detected, such as an emergency situation like a too fast heart rate, it will immediately trigger a preset alarm mechanism for alarm output to promptly notify relevant personnel to take measures to ensure the safety of the user.

[0043] Continuing back to Figure 1, in the collaborative control system of preoperative body position training and operating table based on virtual reality in this application, the above virtual reality simulation device, wearable sensor array, and data collaborative processing unit are mainly used for the preoperative link, such as Figure 1 As shown, the technical solution of this application further includes a closed-loop feedback control unit 400 for intraoperative use; The closed-loop feedback control unit 400 is connected to the operating table actuator and is configured to dynamically adjust the operating table based on the pre-loaded operating table control parameters and the patient's physiological state information monitored in real time during the operation.

[0044] It should be noted that the patient's physiological state information here can be obtained based on relevant intraoperative monitoring devices directly for the patient, such as using a pulse oximeter to monitor blood oxygen, etc., or can be indirectly obtained based on relevant sensor devices of the operating table, such as an intelligent bed with a distributed pressure adjustment air cushion unit, and the contact pressure data is obtained through the sensors of the bed to reflect the pressure distribution of the support points, etc.; In this embodiment, the closed-loop feedback control unit is configured to: when the patient's physiological state information indicates that the blood oxygen saturation drops to a preset warning value, control the operating table actuator to adjust the body position tilt angle to the safe range; in some embodiments, the operating table is an intelligent bed with a distributed pressure adjustment air cushion unit, and the closed-loop feedback control unit is further configured to: when it is detected during the operation that the local contact pressure value exceeds 120% of the support point pressure distribution threshold, automatically trigger the air cushion unit to perform pressure redistribution.

[0045] In the technical solution of this application, the closed-loop feedback control unit, as a key component of the collaborative control system of preoperative body position training and operating table based on virtual reality, its main function is to ensure that the posture and support point pressure distribution of the operating table are dynamically adjusted according to the patient's real-time physiological state information during the operation, so as to improve the safety and efficiency of the operation. This unit realizes the precise control of the intelligent operating table actuator by receiving the operating table control parameters generated by the data collaborative processing unit and the patient's physiological state information monitored in real time during the operation.

[0046] In the actual application of the system, the closed-loop feedback control unit first establishes a stable communication connection with the operating table actuator. This connection can be wired or wireless to ensure the immediacy and accuracy of data transmission. Before the operation starts, the closed-loop feedback control unit loads the determined operating table control parameters finally generated by the data collaborative processing unit. These parameters include, but are not limited to, key indicators such as the body position tilt angle threshold, the support point pressure distribution, and the maintenance time threshold. As the operation progresses, the closed-loop feedback control unit continuously monitors the real-time physiological state information of the patient, such as blood oxygen saturation, muscle tension, heart rate variability, etc. Once it detects that the patient's blood oxygen saturation drops below the preset warning value, the closed-loop feedback control unit will immediately initiate corresponding safety measures, such as automatically adjusting the body position tilt angle of the operating table to the safe range to improve the patient's breathing condition. Similarly, when the local contact pressure value exceeds 120% of the support point pressure distribution threshold, the closed-loop feedback control unit will trigger the pressure adjustment air cushion unit configured on the operating table to redistribute the pressure, avoiding skin damage or other complications caused by long-term high pressure.

[0047] Based on the above description of the embodiments, the preoperative body position training and operating table collaborative control system based on virtual reality provided by this application integrates a virtual reality simulation device, a wearable sensor array, a data collaborative processing unit, and a closed-loop feedback control unit, realizing highly personalized and intelligent management of the patient's body position adjustment during the operation. The technical effects are as follows: (1) Improve the patient's cooperation: By showing the three-dimensional model of the target operation body position to the patient through the virtual reality simulation device and providing tactile feedback, the patient can fully understand and adapt to the required operation body position before the operation, thus improving the cooperation with the body position adjustment during the operation. At the same time, tactile feedback units such as the force feedback vest can simulate the pressure distribution during the operation, further enhancing the patient's experience.

[0048] (2) Optimize the operation process and improve efficiency: Using the wearable sensor array to collect and analyze the patient's physiological condition information in real time, including key parameters such as muscle tension, heart rate variability, and joint movement angle, the data collaborative processing unit can automatically generate personalized operating table control parameters. This helps to avoid inconsistent operations caused by individual differences and significantly improves the smoothness and efficiency of the operation process.

[0049] (3) Enhance the operation safety: The closed-loop feedback control unit combines the real-time monitored physiological state information of the patient during the operation and dynamically adjusts the operating table configuration. For example, when the blood oxygen saturation drops to the warning value, it automatically adjusts the body position tilt angle to the safe range, or when the local contact pressure is too high, it triggers the air cushion unit to redistribute the pressure. These functions effectively reduce the operation risk and ensure the safety of the patient.

[0050] (4)Support highly customized surgical plan design: The system allows medical staff to view and adjust the operating bed control parameters through the interactive management module, facilitating the flexible formulation of the most suitable body position adjustment strategy according to the specific situation. In addition, the anomaly detection sub-module can monitor the changes in physiological parameters in real time and immediately alarm once an anomaly is detected during the training phase to ensure timely measures are taken to deal with emergencies.

[0051] In summary, the preoperative body position training and operating bed collaborative control system based on virtual reality proposed by the present invention greatly improves the deficiencies in the traditional surgical preparation process and provides strong support for improving the surgical success rate and the postoperative recovery speed of patients.

[0052] The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those familiar with the technology within the technical scope disclosed by the present application should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0053] It can be understood that the same or similar parts in the above embodiments can be referred to each other, and the content not detailed in some embodiments can be seen in the same or similar content of other embodiments.

[0054] It should be noted that in the description of the present application, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present application, unless otherwise specified, the meaning of "a plurality" refers to at least two.

[0055] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0056] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A virtual reality-based preoperative posture training and operating table collaborative control system, characterized in that: include: A virtual reality simulation device that dynamically displays a three-dimensional model of the target surgical position to the patient and provides tactile feedback; A wearable sensor array configured to collect physiological information of a patient during preoperative training, wherein the physiological information includes muscle tension information, heart rate variability information, and joint motion angle information; A data collaborative processing unit, used for generating operating table control parameters based on the physiological condition information; The closed-loop feedback control unit is connected to the operating table actuator and is configured to dynamically adjust the operating table based on pre-loaded operating table control parameters and patient physiological status information monitored in real time during surgery.

2. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 1, wherein: The virtual reality simulation device comprises: A visualization interaction unit, which is used to dynamically render the patient's muscle stress state in the surgical position according to the loaded training program configuration, and display the breathing rhythm prompt; The tactile feedback unit, including a force feedback vest, is used to simulate the pressure distribution during intraoperative position maintenance.

3. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 2, wherein: The visualization interaction unit is implemented based on a VR head display device.

4. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 1, wherein: The wearable sensor array adopts a modular design, including but not limited to electromyography sensors, heart rate monitors, and angle sensors; Among them, the electromyography sensor is used to monitor muscle tension in real time; the heart rate monitor is used to monitor the patient's heart activity state; and the angle sensor is used to measure the activity angle of the joint.

5. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 4, wherein: The wearable sensor array also includes a galvanic skin response sensor for monitoring the patient's sweat gland activity to assess the patient's emotional state or anxiety level.

6. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 1, wherein: The data collaborative processing unit comprises: A data analysis module, which is used to pre-process, filter and analyze the physiological information obtained from the wearable sensor array, and extract the target key parameters used to generate the operating table control parameters; A mapping generation module is used to call a preset parameter mapping relationship configuration based on the target key parameters, and map the operating table control parameters, wherein the operating table control parameters at least include a body tilt angle threshold, a support point pressure distribution, and a maintenance time threshold.

7. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 6, wherein: The data collaborative processing unit also includes: The interactive management module is used to provide an interactive interface for medical staff to view and adjust the control parameters of the operating table.

8. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 6, wherein: The data analysis module also includes an abnormality detection submodule, which is used to monitor the physiological condition information obtained from the wearable sensor array in real time, and when an abnormal value exceeding a preset safety range is detected, a preset alarm output is performed.

9. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 6, wherein: The closed-loop feedback control unit is configured as follows: When the patient's physiological status information indicates that the blood oxygen saturation drops to a preset warning value, the operating table actuator is controlled to adjust the body tilt angle to a safe range.

10. The virtual reality-based preoperative posture training and operating table collaborative control system according to claim 6, wherein: The operating bed is an intelligent bed equipped with a distributed pressure adjustment air cushion unit, and the closed-loop feedback control unit is further configured as follows: When it is detected during surgery that the local contact pressure value exceeds 120% of the support point pressure distribution threshold, the air cushion unit is automatically triggered to redistribute the pressure.

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