Intelligent auxiliary system for microsurgery

Abstract

The invention discloses an intelligent auxiliary system for microsurgery in the field of medical auxiliary systems, which is characterized in that a sensor and an image recognition device are integrated to monitor the action posture of medical personnel, and the medical imaging technology and the sensor technology are utilized to monitor the information of the surgical site of a patient; based on a machine learning algorithm and a big data analysis technology, learning action posture data of the medical staff in a historical operation process, and establishing an operation action posture model of the medical staff; according to monitored medical staff action posture information and patient operation site information, combined with the established model, the operation action posture needed by medical staff is predicted, real-time response is achieved, and the supporting device and the operation instrument are automatically adjusted through the controller. The system has the advantages of improving operation precision and efficiency, relieving burden of medical staff, enhancing operation safety, improving operation collaboration, promoting medical technology innovation and development and the like, and intelligent auxiliary operation can be conveniently carried out during microsurgery.

Description

Technical Field

[0001] The present invention belongs to the field of medical assistance systems, and in particular to an intelligent assistance system for microsurgery. Background Art

[0002] Microsurgery is a delicate surgical technique performed under a microscope, primarily used for minor repairs and reconstructions of delicate tissues. This technique, characterized by minimal tissue trauma and high surgical quality, expands the scope of surgery, making procedures previously impossible to perform with the naked eye possible.

[0003] Microsurgery has long been a challenge in the medical field due to its complexity and precision. To improve surgical safety and efficiency, reduce the burden on surgeons, and enhance the overall quality of surgery, researchers have begun exploring the application of assistive systems in microsurgery.

[0004] Existing microsurgery assistance systems use components such as acquisition devices, voice interaction devices, visible light image acquisition devices, and servers. However, these components are mainly used for image acquisition, voice interaction, and data processing, with relatively simple functions and a low level of intelligence. At the same time, the uploaded microscopic images are mainly recognized and voice commands are executed through the data processing system. Although this helps improve the convenience and accuracy of the surgery, it does not involve real-time monitoring and adjustment of the medical staff's posture. Therefore, it is limited in improving surgical accuracy and efficiency. This results in a heavy operational and physical burden on medical staff during long, high-intensity surgeries, and the risk of misoperation during the operation, resulting in low surgical safety. Therefore, this proposal proposes an intelligent assistance system for microsurgery. Summary of the Invention

[0005] In order to solve the above problems, the present invention provides an intelligent auxiliary system for microsurgery, so as to facilitate intelligent auxiliary operations during microsurgery and improve surgical accuracy and efficiency.

[0006] In order to achieve the above object, the technical solution of the present invention is as follows: an intelligent auxiliary system for microsurgery, comprising

[0007] The motion posture monitoring and intelligent adjustment module is used to monitor the motion posture of medical personnel during microsurgery in real time through integrated sensors and image recognition devices, analyze the motion posture requirements, and adjust the support device according to the motion posture requirements;

[0008] The patient surgical site information monitoring module is used to monitor the patient's surgical site information in real time by using medical imaging technology and sensor technology. By combining the surgical site information with the medical staff's posture information, the surgical process is positioned and navigated;

[0009] The intelligent learning and real-time response module is used to learn the motion posture data of medical staff during historical operations based on machine learning algorithms and big data analysis technology, and establish a surgical motion posture model for medical staff; during real-time surgery, based on the monitored motion posture information of medical staff and the patient's surgical site information, combined with the established model, the surgical motion posture required by the medical staff is predicted, and real-time response is achieved, automatically adjusting the support device and surgical instruments through the controller.

[0010] The principles and beneficial effects of the above scheme are as follows:

[0011] 1. Improve surgical accuracy and efficiency:

[0012] By monitoring the medical staff's movements and postures in real time, the system can accurately capture every subtle change in movement and intelligently adjust the support device according to needs, ensuring that the medical staff maintains the optimal operating state. This greatly improves surgical precision and reduces the risk of operational errors.

[0013] At the same time, combined with real-time monitoring of the patient's surgical site information, the system can achieve precise positioning and navigation of the surgical process, making the surgical operation more accurate and rapid, thereby improving surgical efficiency.

[0014] 2. Reduce the burden on medical staff:

[0015] Medical staff often experience fatigue during long, demanding microsurgery procedures. This system monitors the staff's movements and posture in real time and automatically adjusts the support device based on their needs, helping them maintain a comfortable posture and reducing physical strain.

[0016] In addition, through intelligent learning and real-time response modules, the system can predict the surgical movements and postures required by medical staff and automatically adjust surgical instruments, further reducing the operational burden on medical staff.

[0017] 3. Enhance surgical safety:

[0018] By combining information about the surgical site with information about the medical staff's movements and postures, the system can promptly detect potential risks and abnormalities and take appropriate measures to intervene, thereby effectively ensuring the safety of the operation.

[0019] At the same time, the system can automatically adjust the position and angle of surgical instruments to avoid collisions between the instruments and medical staff or patients, further enhancing the safety of the operation.

[0020] 4. Improve surgical coordination:

[0021] In microsurgery, collaboration between medical staff is crucial. This system monitors the medical staff's movements and the patient's surgical site in real time, and shares this information with the surgical team in real time. This allows team members to better understand the progress of the operation and each other's needs, thereby improving surgical collaboration.

[0022] In addition, the system can automatically adjust the support device and surgical instruments according to the collaboration of team members, further optimizing the surgical process and improving surgical efficiency.

[0023] 5. Promote innovation and development of medical technology:

[0024] The application of this intelligent assistance system represents the innovation and development direction of medical technology. By integrating advanced technologies such as sensors, image recognition, and machine learning, the system provides new solutions for microsurgery and promotes the continuous advancement of medical technology.

[0025] At the same time, the application of the system has also promoted the cross-integration of the medical field and other fields, providing more possibilities for future medical technology innovation.

[0026] In summary, this intelligent assistance system for microsurgery has the advantages of improving surgical accuracy and efficiency, reducing the burden on medical staff, enhancing surgical safety, improving surgical coordination, and promoting medical technology innovation and development. It can facilitate intelligent auxiliary operations during microsurgery and improve surgical accuracy and efficiency.

[0027] Furthermore, it also includes a human-computer interaction and collaborative operation module, which is used to provide a human-computer interaction interface. The interaction interface is used for medical staff to interact with the system in real time, adjust system parameters and settings, and provide real-time feedback on key information during the operation.

[0028] Beneficial Effects: Through the human-computer interaction interface, medical staff can interact with the system in real time, adjusting system parameters and settings at any time to adapt to different surgical scenarios and needs. This real-time interaction enables medical staff to operate the system more flexibly and efficiently, improving the smooth progress of the operation. The interactive interface provides real-time feedback on key information during the operation, such as the status of the surgical site and the position and status of surgical instruments. This allows medical staff to monitor the progress of the operation at all times and make timely adjustments to ensure the smooth progress of the operation.

[0029] Furthermore, the support device includes a seat plate, a liftable support assembly is provided at the bottom of the seat plate, a back plate is provided on one side of the seat plate, the back plate is slidably engaged with the side of the seat plate away from the support assembly through a driving member, and liftable support members are connected to both sides of the seat plate, and the support members are used to support the arms of medical staff; the support assembly, driving member and support member are all connected to the controller signal.

[0030] Beneficial effects: The liftable support assembly at the bottom of the seat allows medical staff to adjust the height of the seat according to their personal height and surgical needs, thereby ensuring that medical staff can maintain the most comfortable and stable sitting posture during the operation. This personalized adaptation helps reduce the fatigue of medical staff during long operations and improve their work efficiency. The design of the backrest sliding on the seat through the drive member allows the angle of the backrest to be adjusted according to the needs of the medical staff. This not only provides stable support for the medical staff's back, but also allows for flexible adjustment according to changes in their sitting posture, further enhancing comfort and stability during the operation. The liftable support members connected on both sides of the seat are specifically used to support the arms of medical staff. During microsurgery, medical staff need to maintain a stable arm posture for a long time, and the design of the support members can effectively share the weight of the arms, reduce arm fatigue and tremors, and thus ensure the accuracy and stability of the operation.

[0031] Furthermore, the integrated sensor and image recognition device is also used to monitor the dynamic information of the medical device in real time when the medical staff holds the medical device. When the medical staff uses the medical device to issue instructions, the instructions are identified through the dynamic information of the device, and the implementation of the corresponding instructions is controlled by the controller.

[0032] Beneficial Effects: By integrating sensors and image recognition devices, the system can accurately capture dynamic information about medical personnel holding medical devices, such as gestures and movement trajectories. This information, after being processed by algorithms, can accurately identify the medical personnel's command intent and rapidly control the implementation of the corresponding instructions. This approach avoids the errors and delays that can occur with traditional manual operation or button control, improving the accuracy and efficiency of command recognition.

[0033] By identifying commands using dynamic instrument information, medical staff can issue instructions more flexibly and naturally, without being distracted by tedious procedures. This allows them to focus more on the surgery itself, improving surgical quality and efficiency. Furthermore, the system can respond to medical staff's commands in real time, adjusting support devices and surgical instruments, further enhancing the convenience of the surgical process.

[0034] Furthermore, it also includes a microscope module, which is used for medical staff to observe. The microscope module includes a microscope with electrically adjustable parameters, and the microscope is connected to the controller signal.

[0035] Beneficial Effects: A microscope with electrically adjustable parameters allows medical staff to precisely adjust parameters such as magnification and focal length according to surgical requirements. This precise adjustment ensures that medical staff can clearly observe the details of the surgical site, providing strong support for the smooth progress of the operation.

[0036] Furthermore, the seat plate, back plate and support member are all provided with massage components and ventilation components, and the massage components are connected to the controller signal.

[0037] Benefits: During long, intense microsurgery procedures, medical staff can easily experience fatigue and discomfort. The massage component precisely targets specific areas of the body, relieving muscle tension and fatigue and enhancing comfort. The ventilation component provides a cool breeze, effectively reducing sweating and stuffiness, further enhancing medical staff comfort.

[0038] Furthermore, the integrated sensor and image recognition device is also used to obtain voice information and facial status information of medical staff in the operating room, analyze the emotional state of medical staff through the voice information and facial status information of medical staff in the operating room, obtain voice command information through voice information, and adjust the support device, massage component and ventilation component through voice command information, emotional status information, movement posture requirements and information about the patient's surgical site.

[0039] Beneficial effects: The system can acquire and analyze the emotional state and voice commands of medical staff in real time, and intelligently adjust the status of the support device, massage component, and ventilation component based on this information. This personalized adjustment can better meet the actual needs of medical staff during surgery, improving their comfort and work efficiency. By analyzing the emotional state of medical staff, the system can promptly detect negative emotions such as fatigue and tension in medical staff, and alleviate these negative emotions by adjusting the support device and massage components, thereby avoiding the impact of emotions on surgical operations. At the same time, combined with the patient's surgical site information and the medical staff's movement and posture requirements, the system can optimize the surgical environment, reduce surgical risks, and improve surgical quality.

[0040] Furthermore, when medical staff use medical devices to issue instructions, medical device instructions include but are not limited to using medical devices to draw circles in the air, using medical devices to draw triangles in the air, and placing two devices in a cross shape.

[0041] Beneficial effects: Instructions are issued by having medical devices draw specific shapes in the air or place them in specific postures. This method is intuitive and easy to understand, and medical staff can quickly master it without complex training. At the same time, compared with traditional buttons or voice commands, this method is more direct and reduces the possibility of misoperation. The diversity of medical device instructions allows medical staff to choose appropriate instructions based on actual needs. For example, drawing a circle in the air may mean magnifying the field of view of a microscope, drawing a triangle may mean adjusting the wind speed of a ventilation component, and placing two devices in a cross shape may mean starting a massage component. This flexibility and diversity enable the system to better adapt to different surgical scenarios and the needs of medical staff.

[0042] Because medical device commands are easy and intuitive to use, medical staff can quickly issue commands during surgery without interrupting the procedure or diverting their attention. This helps reduce waiting time during surgery and improves surgical efficiency.

[0043] Furthermore, the integrated sensor and image recognition device is also used to monitor the muscle tremor status of the medical staff, and adjust the operation of the massage component according to the muscle tremor status information of the medical staff.

[0044] Beneficial Effects: Sensors and image recognition technology can accurately capture and identify healthcare workers' muscle tremors, a key indicator of muscle fatigue. By monitoring and analyzing these subtle muscle movements in real time, the system can accurately determine the worker's level of muscle fatigue, providing them with timely and effective massage relief. Based on muscle tremor monitoring, the massage components can be personalized based on the worker's actual fatigue level. For areas experiencing severe fatigue, the system can increase the intensity and frequency of the massage, while reducing it for areas experiencing less fatigue. This personalized massage approach can better meet the healthcare workers' comfort needs and improve their job satisfaction.

[0045] Furthermore, a sponge layer is fixedly connected to the seat plate, and the massage component and ventilation component on the seat plate are both arranged between the seat plate and the sponge layer, and a plurality of air holes are provided on the sponge layer.

[0046] Beneficial Effects: The sponge layer is soft, elastic, and highly shock-absorbing, effectively reducing the stiffness and pressure felt by medical staff during prolonged sitting. Simultaneously, the massage component operates beneath the sponge layer, providing a softer, more comfortable massage experience. The ventilation component, positioned between the seat and the sponge layer, combined with the air holes in the sponge layer, allows for full ventilation of the seat. This not only effectively prevents medical staff from feeling stuffy during prolonged surgeries, but also ensures uniform and smooth ventilation, improving ventilation effectiveness.

[0047] Furthermore, the massage component includes a first air pump and several air bags, which are connected in sequence through air pipes. The first air pump is connected to the air pipe, and several pressure valves are connected to the air bags. The first air pump is fixedly connected to one side of the seat plate, and the air bags and air pipes are located between the seat plate and the sponge layer.

[0048] Beneficial Effects: Because the airbags are interconnected via air pipes and powered by a first air pump, continuous and uniform inflation and deflation are achieved. This rhythmic pressure variation effectively simulates manual massage techniques, deeply relaxing the user's body parts and relieving muscle fatigue and tension. The multiple pressure valves connected to the airbags can be fine-tuned based on the user's needs and comfort level. By adjusting the pressure valves, the user can control the intensity and rhythm of the massage, achieving the massage experience that best suits them.

[0049] Furthermore, the ventilation component includes a plurality of interconnected ventilation pipes, the ventilation pipes are connected to a second air pump, a plurality of air outlets are provided on the ventilation pipes, and the second air pump is connected to the processor signal.

[0050] Beneficial Effect: Driven by the second air pump, the ventilation tube can quickly and continuously deliver fresh air, greatly enhancing ventilation. The processor can intelligently adjust the operating status of the second air pump based on environmental conditions and user needs, ensuring that ventilation efficiency is always optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 Schematic diagram of a supporting device according to an embodiment of the present invention.

[0052] Figure 2 Schematic diagram of a seat plate according to an embodiment of the present invention.

[0053] Figure 3 Schematic diagram of a support assembly according to an embodiment of the present invention.

[0054] Figure 4 This is a top view of a massage component according to an embodiment of the present invention.

[0055] Figure 5 This is a structural diagram of an intelligent assistance system for microsurgery according to an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The following is further described in detail through specific implementation methods:

[0057] The figure marks in the drawings of the specification include: seat plate 1, support assembly 2, back plate 3, support member 4, air vent 5, sponge layer 6, first air pump 7, air bag 8, air supply pipe 9, pressure valve 10, ventilation pipe 11, second air pump 12, microscope 13, monitoring camera 14, sound sensor 15.

[0058] Example 1:

[0059] The embodiment is basically as shown in the attached Figure 1 , Attachment Figure 2 , Attachment Figure 3 , Attachment Figure 4 and attached Figure 5 As shown:

[0060] An intelligent auxiliary system for microsurgery, comprising

[0061] The motion posture monitoring and intelligent adjustment module is used to monitor the medical staff's motion posture during microsurgery in real time through integrated sensors and image recognition devices. The module captures and transmits the data to the processor, which analyzes the motion posture requirements and adjusts the position, height, and angle of the support device accordingly. Integrated sensors include, but are not limited to, sound sensors 15 and several monitoring cameras 14.

[0062] There are two support devices, which are located on both sides of the surgical patient. The support devices include a seat plate 1, a liftable support assembly 2 is provided at the bottom of the seat plate 1, a back plate 3 is provided on one side of the seat plate 1, and the back plate 3 is slidably fitted to the side of the seat plate 1 away from the support assembly 2 through a driving member. Liftable support members 4 are connected to both sides of the seat plate 1, and the support members 4 are used to support the arms of medical staff; the support assembly 2, the driving member and the support member 4 are all connected to the controller signal.

[0063] The seat panel 1, backrest 3, and support member 4 are each equipped with a massage assembly and a ventilation assembly, which are signal-connected to the controller. A sponge layer 6 is fixedly connected to the seat panel 1. The massage assembly and ventilation assembly are both arranged between the seat panel 1 and the sponge layer 6. The sponge layer 6 is provided with a plurality of ventilation holes 5.

[0064] The patient surgical site information monitoring module is used to use medical imaging technology and sensors, such as CT, MRI, etc., to monitor the information of the patient's surgical site in real time, obtain high-precision images of the patient's surgical site and transmit them to the processor. By combining the information of the surgical site with the movement and posture information of the medical staff, the surgical process is positioned and navigated.

[0065] The intelligent learning and real-time response module is used to learn the movement and posture data of medical staff during historical operations based on machine learning algorithms and big data analysis technology, identify the surgical habits and movement patterns of medical staff, and establish a surgical movement and posture model of medical staff; during real-time surgery, based on the monitored movement and posture information of medical staff and the patient's surgical site information, combined with the established model, the surgical movement and posture required by the medical staff is predicted, and real-time response is given, automatically adjusting the support device and surgical instruments through the controller.

[0066] The human-computer interaction and collaborative operation module is used to provide a human-computer interaction interface. The interaction interface is used for medical staff to interact with the system in real time, adjust system parameters and settings, and provide real-time feedback on key information during the operation.

[0067] The specific implementation process is as follows: First, when user A (a medical professional) prepares to perform microsurgery, they activate the intelligent assistance system. The system then enters operation and begins monitoring user A's posture. Using integrated sensors and image recognition, the system captures and transmits real-time data on user A's posture during the procedure to a processor. The processor quickly analyzes this data, determines user A's desired posture, and automatically adjusts the position, height, and angle of the support device accordingly, ensuring user A maintains a comfortable and stable posture during the procedure.

[0068] During surgery, user A sits on the support device's seat 1. The backrest 3 adjusts its position according to user A's needs via a sliding actuator, providing optimal back support. Simultaneously, support member 4 raises and supports user A's arms, ensuring stability and accurate manipulation. Massage and ventilation components on the seat 1, backrest 3, and support member 4 operate according to controller signals, providing comfortable massage and ventilation, alleviating fatigue during prolonged surgery.

[0069] The patient's surgical site monitoring module also utilizes medical imaging and sensor technology to monitor the patient's surgical site in real time and transmit high-precision images to the processor. By combining this information with user A's posture and movement, the system can accurately locate and navigate the surgical process, helping user A perform the procedure more accurately.

[0070] During surgery, the intelligent learning and real-time response module uses historical surgical data and real-time monitoring information, combined with established surgical posture models of medical personnel, to predict the required surgical posture for user A. Once the required posture is predicted, the system responds in real time, automatically adjusting the support device and surgical instruments through the controller to assist user A in completing the surgery.

[0071] Furthermore, the human-computer interaction and collaborative operation module provides an intuitive and easy-to-use interface through which User A can interact with the system in real time. User A can adjust system parameters and settings to suit different surgical needs. Furthermore, the interactive interface provides real-time feedback on key surgical information, helping User A better understand the progress of the procedure.

[0072] During the entire surgical process, the intelligent assistance system will continuously monitor and analyze user A's movements and surgical site information, and make real-time adjustments and optimizations based on demand to ensure the smooth progress and efficient completion of the operation, thereby improving surgical accuracy and efficiency to a certain extent.

[0073] Example 2:

[0074] The difference between this embodiment and the above embodiment is that the integrated sensor and image recognition device are also used to monitor the dynamic information of the medical device in real time when the medical staff holds the medical device. When the medical staff uses the medical device to issue instructions, the instructions are identified through the dynamic information of the device, and the controller is used to control the implementation of the corresponding instructions.

[0075] It also includes a microscope module, which is used for medical staff to observe. The microscope module includes a microscope 13 whose parameters can be electrically adjusted. The microscope 13 is connected to the controller signal. The monitoring camera 14 is fixedly connected to the bottom of the microscope 13 and both sides of the top of the microscope 13 respectively. The sound sensor 15 is fixedly connected to one side of the bottom of the microscope 13.

[0076] When medical personnel use medical devices to issue instructions, medical device instructions include but are not limited to using medical devices to draw circles in the air, using medical devices to draw triangles in the air, and placing two devices in a cross shape.

[0077] The specific implementation process is as follows: When medical personnel use a medical device to issue instructions, the monitoring camera 14 at the bottom of the microscope 13 in the integrated sensor captures the device's dynamic information in real time. This dynamic information includes the device's motion trajectory and dynamic information. This information includes parameters such as the device's position, velocity, and acceleration in space, as well as specific movement patterns of the device, such as drawing a circle or triangle in the air, or placing two devices in a cross shape.

[0078] Image recognition technology processes and analyzes captured dynamic device information in real time. Using pre-set algorithms and models, the system identifies specific command actions and converts them into corresponding control signals. These signals are then transmitted to the controller, which executes the corresponding actions based on the command content.

[0079] For example, if a medical staff member draws a circle in the air using a medical instrument, the system may recognize that this is an instruction to adjust the focus of the microscope 13. After receiving this instruction, the controller will automatically adjust the focus of the microscope 13 so that the medical staff member can observe the surgical site more clearly.

[0080] Similarly, if a medical staff member draws a triangle in the air using a medical device, the system may recognize this as an instruction to switch the observation mode of the microscope 13. The controller will adjust the observation mode of the microscope 13 according to this instruction, such as switching from bright field observation to dark field observation.

[0081] Furthermore, if a medical professional places two instruments in a cross-shaped configuration, the system may recognize this as a command to start or stop a surgical assistance function. Based on this command, the controller will activate or deactivate the corresponding auxiliary function, such as automatically adjusting the position of the support device or activating the ventilation component.

[0082] In this way, medical staff can issue instructions through simple medical instrument movements, and the system can recognize and execute these instructions in real time, thereby improving surgical flexibility and operational convenience. At the same time, the electrically adjustable microscope 13 in the microscopy module also provides medical staff with a more accurate and comfortable observation experience.

[0083] Example 3:

[0084] The difference between this embodiment and the above embodiment is that the integrated sensor and image recognition device are also used to obtain voice information and facial status information of medical staff in the operating room, analyze the emotional state of medical staff through the voice information and facial status information of medical staff in the operating room, obtain voice command information through voice information, and adjust the support device, massage component and ventilation component through voice command information, emotional status information, movement posture requirements and information about the patient's surgical site.

[0085] The specific implementation process is as follows: the integrated sensors used are a sound sensor 15 fixedly connected to one side of the bottom of the microscope 13 and a monitoring camera 14 fixedly connected to both sides of the top of the microscope 13. Once voice information is captured, the system will use advanced voice recognition technology to convert the voice information into text or command code.

[0086] Simultaneously, monitoring camera 14 captures the medical staff's facial status. These facial images are transmitted to an image processing unit, where deep learning algorithms are used to recognize and analyze facial expressions. These algorithms have undergone extensive training and are capable of accurately identifying various emotional states, such as tension, fatigue, and joy.

[0087] After acquiring voice and facial information, the system further analyzes this information to determine the medical staff's emotional state. This process may involve complex algorithms and models to ensure the accuracy and reliability of emotion recognition.

[0088] Next, the system comprehensively adjusts the support device, massage component, and ventilation component based on the acquired voice command information, emotional state information, posture requirements, and information about the patient's surgical site. For example, if the system recognizes that the medical staff is in a state of tension, it may automatically adjust the strength and frequency of the massage component to provide a soothing effect. If it recognizes that the medical staff issues a voice command to adjust the focus of the microscope 13, the system will automatically adjust the focus of the microscope 13 through the controller.

[0089] The entire real-time process requires a highly integrated and responsive system to ensure accurate and timely capture of the various information and needs of medical staff and make corresponding adjustments. Furthermore, system stability and reliability are crucial, as the operating room is an environment that demands extremely high precision and safety.

[0090] In this way, the intelligent assistance system can not only provide basic support and auxiliary functions, but also make personalized adjustments based on the mood and needs of medical staff, thereby improving the overall work efficiency of the operating room and the comfort of medical staff.

[0091] Example 4:

[0092] The difference between this embodiment and the above embodiments is that the integrated sensor and image recognition device are also used to monitor the muscle shaking status of the medical staff, and the operation of the massage component is adjusted according to the muscle shaking status information of the medical staff.

[0093] The specific implementation process is as follows: Integrated sensors and image recognition devices will be used to monitor the muscle tremors of medical personnel during microsurgery. This function is achieved by installing micro sensors on the medical personnel's work clothes or relevant parts, and using high-definition cameras to capture the medical personnel's body movements and muscle changes.

[0094] Microsensors can monitor the electrical signals and mechanical vibrations of medical staff's muscles in real time, capturing subtle changes in muscle tremors. These sensors are highly sensitive and fast-responding, accurately reflecting muscle tremor.

[0095] At the same time, high-definition cameras will capture the medical staff's body movements and muscle changes. Using image recognition devices and technology, the system can analyze the appearance and dynamic changes of the medical staff's muscles, further verifying and supplementing the accuracy of the sensor data.

[0096] After acquiring information about the healthcare worker's muscle tremors, the system analyzes this data in real time and adjusts the massage components accordingly. For example, if the system detects frequent or large muscle tremors, this could indicate fatigue or tension. In this case, the system can automatically adjust the massage component's intensity, frequency, and massage mode to provide a more comfortable and effective massage, helping the healthcare worker alleviate muscle fatigue and tension.

[0097] This entire real-time process requires the system to be highly accurate and responsive, ensuring it can detect and adjust to the medical staff's muscle tremors. Furthermore, the system must possess intelligent learning and adaptive capabilities to tailor adjustments to individual medical staff and surgical needs.

[0098] Embodiment 5:

[0099] This embodiment differs from the previous embodiment in that the massage assembly includes a first air pump 7 and a plurality of air bags 8, which are sequentially connected via an air pipe 9. The first air pump 7 is connected to the air pipe 9, and the air bags 8 are connected to a plurality of pressure valves 10. The first air pump 7 is fixedly connected to one side of the seat plate 1, and the air bags 8 and air pipe 9 are both located between the seat plate 1 and the sponge layer 6. The ventilation assembly includes a plurality of interconnected ventilation pipes 11, which are connected to a second air pump 12, which is provided with a plurality of air outlets. The second air pump 12 is connected to the processor signal.

[0100] The specific implementation process is as follows: when using the massage component and the ventilation component, the controller is used to control the operation of the first air pump 7 and the second air pump 12. The first air pump 7 fills the air pipe 9 and the air bag 8 with gas to expand the gas, and the user is massaged by the expansion and contraction of the air bag 8. The second air pump 12 inputs gas into the ventilation pipe 11, and the gas rushes through the ventilation pipe 11 and the air outlet to output the gas, so that the gas is output from the air vent 5, cooling the user and improving the comfort of medical staff.

[0101] The above is only an embodiment of the present invention, and common knowledge such as the specific structure and / or characteristics of the scheme is not described in detail here. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several variations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent auxiliary system for microsurgery, characterized in that: include The motion posture monitoring and intelligent adjustment module is used to monitor the motion posture of medical staff in the process of microsurgery in real time through integrated sensors and image recognition devices, analyze the motion posture requirements, and adjust the support device according to the motion posture requirements; The patient surgical site information monitoring module is used to use medical imaging technology and sensor technology to monitor the information of the patient's surgical site in real time, and to locate and navigate the surgical process by combining the information of the surgical site with the movement and posture information of the medical staff; The intelligent learning and real-time response module is used to learn the motion posture data of medical staff in historical surgical processes based on machine learning algorithms and big data analysis technology, and establish a surgical motion posture model for medical staff; during real-time surgery, based on the monitored motion posture information of medical staff and the surgical site information of patients, combined with the established model, the surgical motion posture required by the medical staff is predicted, and responds in real time, automatically adjusting the support device and surgical instruments through the controller.

2. The intelligent assistance system for microsurgery according to claim 1, characterized in that: It also includes a human-computer interaction and collaborative operation module, which is used to provide a human-computer interaction interface. The interaction interface is used for medical staff to interact with the system in real time, adjust system parameters and settings, and the interaction interface is used to provide real-time feedback on key information during the operation.

3. The intelligent assistance system for microsurgery according to claim 1, characterized in that: The supporting device includes a seat plate, a liftable supporting assembly is provided at the bottom of the seat plate, a back plate is provided on one side of the seat plate, the back plate is slidably engaged with the side of the seat plate away from the supporting assembly through a driving member, and liftable supporting members are connected to both sides of the seat plate, and the supporting members are used to support the arms of medical staff; the supporting assembly, the driving member and the supporting member are all connected to the controller signal.

4. The intelligent assistance system for microsurgery according to claim 1, characterized in that: The integrated sensor and image recognition device is also used to monitor in real time the dynamic information of the medical device when the medical staff holds the medical device. When the medical staff uses the medical device to issue instructions, the instructions are identified through the dynamic information of the device, and the implementation of the corresponding instructions is controlled by the controller.

5. The intelligent assistance system for microsurgery according to any one of claims 1 to 4, characterized in that: It also includes a microscope module, which is used for medical staff to observe. The microscope module includes a microscope capable of electrically adjusting parameters, and the microscope is connected to the controller signal.

6. The intelligent assistance system for microsurgery according to claim 3, characterized in that: The seat plate, the back plate and the support are all provided with massage components and ventilation components, and the massage components are connected with controller signals.

7. The intelligent assistance system for microsurgery according to claim 4, characterized in that: The integrated sensor and image recognition device are also used to obtain voice information and facial status information of medical staff in the operating room, analyze the emotional state of medical staff through the voice information and facial status information of medical staff in the operating room, obtain voice command information through voice information, and adjust the support device, massage component and ventilation component through voice command information, emotional status information, movement posture requirements and information of the patient's surgical site.

8. The intelligent assistance system for microsurgery according to claim 4, characterized in that: When medical staff use medical devices to issue instructions, medical device instructions include but are not limited to using medical devices to draw circles in the air, using medical devices to draw triangles in the air, and placing two devices in a cross shape.

9. The intelligent assistance system for microsurgery according to claim 7, characterized in that: The integrated sensor and image recognition device is also used to monitor the muscle shaking status of the medical staff, and adjust the operation of the massage component according to the muscle shaking status information of the medical staff.

10. The intelligent assistance system for microsurgery according to claim 6, characterized in that: A sponge layer is fixedly connected to the seat plate, a massage component and a ventilation component on the seat plate are arranged between the seat plate and the sponge layer, and a plurality of air holes are arranged on the sponge layer.

11. The intelligent assistance system for microsurgery according to claim 6, characterized in that: The massage component includes a first air pump and several air bags, which are connected in sequence through air pipes. The first air pump is connected to the air pipe, and several pressure valves are connected to the air bags. The first air pump is fixedly connected to one side of the seat plate, and the air bags and the air pipes are located between the seat plate and the sponge layer.

12. The intelligent assistance system for microsurgery according to claim 6, characterized in that: The ventilation component includes a plurality of connected ventilation pipes, the ventilation pipes are connected to a second air pump, a plurality of air outlets are arranged on the ventilation pipes, and the second air pump is connected to a processor signal.

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