A smart assist system for microsurgery

Abstract

This invention discloses an intelligent auxiliary system for microsurgery in the field of medical assistance systems. It integrates sensors and image recognition devices to monitor the movements and postures of medical personnel, utilizes medical imaging and sensor technologies to monitor information about the patient's surgical site, and then learns from historical surgical data on the movements and postures of medical personnel based on machine learning algorithms and big data analysis to establish a model of their surgical movements and postures. Based on the monitored movements and postures of medical personnel and the patient's surgical site information, combined with the established model, the system predicts the required surgical movements and postures for medical personnel, responds in real time, and automatically adjusts the support device and surgical instruments via a controller. This system offers advantages such as improved surgical precision and efficiency, reduced workload for medical personnel, enhanced surgical safety, improved surgical coordination, and promotion of medical technology innovation and development, facilitating intelligent auxiliary operations during microsurgery.

Description

Technical Field

[0001] This invention belongs to the field of medical auxiliary systems, specifically an intelligent auxiliary system for microsurgery. Background Technology

[0002] Microsurgery is a delicate surgical technique that utilizes a microscope for manipulation, primarily used for the miniature repair and reconstruction of delicate tissues. This technique is characterized by minimal tissue trauma and high surgical quality, expanding the scope of surgical procedures and enabling surgeries previously impossible to perform with the naked eye.

[0003] Due to the complexity and precision of microsurgical procedures, microsurgery has long been one of the challenges in the medical field. To improve the safety and efficiency of surgery, reduce the workload of surgeons, and enhance the overall quality of the procedure, researchers have begun to explore the application of assistive systems in microsurgery.

[0004] Existing microsurgical assistance systems utilize components such as acquisition devices, voice interaction devices, visible light image acquisition devices, and servers. However, these components primarily function for image acquisition, voice interaction, and data processing, offering relatively limited functionality and a low level of intelligence. Furthermore, while the data processing system mainly identifies uploaded microscopic images and executes voice commands, which helps improve the convenience and accuracy of surgery, it does not involve real-time monitoring and adjustment of the movements and postures of medical personnel, thus limiting its impact on improving surgical precision and efficiency. This results in a heavy operational and physical burden on medical personnel during prolonged, high-intensity surgeries, increasing the risk of surgical errors and consequently lowering surgical safety. Therefore, this proposal suggests an intelligent assistance system for microsurgical procedures. Summary of the Invention

[0005] To address the aforementioned problems, this invention provides an intelligent auxiliary system for microsurgery, which facilitates intelligent auxiliary operations during microsurgery, thereby improving surgical precision and efficiency.

[0006] To achieve the above objectives, 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 staff in real time during microsurgery by integrating sensors and image recognition devices, analyze motion posture requirements, and adjust the support device according to the motion posture requirements.

[0008] The patient surgical site information monitoring module uses medical imaging and sensor technologies to monitor the patient's surgical site information in real time. By combining the surgical site information with the movement and posture information of medical staff, the module can locate and navigate the surgical process.

[0009] The intelligent learning and real-time response module is used to learn from the movement and posture data of medical staff during historical surgeries based on machine learning algorithms and big data analysis technology, and establish a model of the surgical movement and posture 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 module predicts the surgical movement and posture required by medical staff and responds in real time, automatically adjusting the support device and surgical instruments through the controller.

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

[0011] 1. Improve surgical precision and efficiency:

[0012] By monitoring the movements and postures of medical staff in real time, the system can accurately capture every subtle change in motion and intelligently adjust the support device according to needs, ensuring that medical staff maintain optimal operating conditions. This greatly improves the precision of surgery and reduces the risks caused by operational errors.

[0013] At the same time, by combining 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 faster, thereby improving surgical efficiency.

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

[0015] During prolonged and intensive microsurgical procedures, medical staff often experience fatigue. This system can monitor the movements and postures of medical staff in real time and automatically adjust the support device as needed to help them maintain a comfortable posture and reduce physical strain.

[0016] In addition, through the intelligent learning and real-time response module, 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 movements and postures of medical staff, the system can promptly detect potential risks and abnormalities and take corresponding measures to intervene, thereby effectively ensuring the safety of the surgery.

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

[0020] 4. Improve surgical coordination:

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

[0022] In addition, the system can automatically adjust the support device and surgical instruments based on the team members' collaboration, further optimizing the surgical procedure and improving surgical efficiency.

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

[0024] The application of this intelligent auxiliary 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, driving 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 with other fields, providing more possibilities for future medical technology innovation.

[0026] In summary, this intelligent auxiliary system for microsurgery has advantages such as improving surgical precision and efficiency, reducing the burden on medical staff, enhancing surgical safety, improving surgical collaboration, and promoting medical technology innovation and development. It can facilitate intelligent auxiliary operations during microsurgery, thereby improving surgical precision and efficiency.

[0027] Furthermore, it also includes a human-computer interaction and collaborative operation module, which provides a human-computer interaction interface 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 surgical process.

[0028] Beneficial Effects: Through the human-computer interaction interface, medical staff can interact with the system in real time, adjusting system parameters and settings 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 success rate of surgeries. The interactive interface provides real-time feedback on key information during the surgical process, 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 surgery at any time, make timely adjustments, and ensure the smooth progress of the operation.

[0029] Furthermore, the support device includes a seat plate, a liftable support component at the bottom of the seat plate, a backrest on one side of the seat plate, the backrest being slidably engaged with the side of the seat plate away from the support component via a drive component, and liftable support components connected to both sides of the seat plate, the support components being used to support the arms of medical personnel; the support component, drive component, and support components are all signal connected to the controller.

[0030] Beneficial Effects: The adjustable support assembly at the bottom of the seat allows medical staff to adjust the seat height according to their individual height and surgical needs, ensuring they maintain the most comfortable and stable posture during surgery. This personalized fit helps reduce fatigue during long surgeries and improves their work efficiency. The backrest's sliding design, driven by a mechanism, allows the angle to be adjusted according to the medical staff's needs. This not only provides stable back support but also allows for flexible adjustment based on changes in posture, further enhancing comfort and stability during surgery. Adjustable supports on both sides of the seat are specifically designed to support the medical staff's arms. In microsurgery, medical staff need to maintain a stable arm posture for extended periods; the support design effectively distributes the weight of the arms, reducing fatigue and tremors, thus ensuring surgical precision and stability.

[0031] Furthermore, the integrated sensors and image recognition devices are also used to monitor the dynamic information of medical devices held by medical staff in real time. When medical staff use medical devices to issue commands, the commands are identified through the dynamic information of the devices, and the corresponding commands are implemented by the controller.

[0032] Beneficial effects: By integrating sensors and image recognition devices, the system can accurately capture dynamic information such as gestures and movement trajectories when medical personnel hold medical instruments. After processing by algorithms, this information can accurately identify the medical personnel's intended commands, thereby quickly controlling the implementation of corresponding commands. This approach avoids the errors and delays that may be caused by traditional manual operation or button control, improving the accuracy and efficiency of command recognition.

[0033] By recognizing commands based on 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. Simultaneously, 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 for medical personnel to observe, which includes a microscope with electrically adjustable parameters and a signal connection between the microscope and the controller.

[0035] Beneficial effects: Electrically adjustable microscopes allow medical staff to precisely adjust parameters such as magnification and focal length according to surgical needs. 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 surgery.

[0036] Furthermore, the seat, backrest, and support are all equipped with massage and ventilation components, and the massage components are connected to the controller via signal.

[0037] Beneficial effects: During prolonged, high-intensity microsurgical procedures, medical staff are prone to fatigue and discomfort. The massage component provides precise massage to specific body parts, relieving muscle tension and fatigue and improving comfort. The ventilation component delivers a cool breeze, effectively reducing sweating and stuffiness, further enhancing the comfort of medical staff.

[0038] Furthermore, the integrated sensors and image recognition devices are also used to acquire voice information and facial status information of medical staff in the operating room. The emotional state of medical staff is analyzed through the voice information and facial status information of medical staff in the operating room. Voice command information is acquired through the voice information. The support device, massage component and ventilation component are adjusted based on the voice command information, emotional status information, movement and posture requirements and information of 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 support devices, massage components, and ventilation components 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, and alleviate these negative emotions by adjusting support devices and massage components, avoiding the impact of emotions on surgical procedures. Simultaneously, by combining patient surgical site information and the movement and posture requirements of medical staff, the system can optimize the surgical environment, reduce surgical risks, and improve surgical quality.

[0040] Furthermore, when medical personnel issue instructions using medical devices, the instructions include, but are not limited to, drawing circles in the air, drawing triangles in the air, and placing two devices in an intersecting position.

[0041] Beneficial Effects: Issuing commands by drawing specific shapes or arranging medical devices in the air is intuitive and easy to understand, allowing medical staff to quickly master the method without complex training. Furthermore, compared to traditional button or voice commands, this method is more direct and reduces the possibility of misoperation. The versatility of medical device commands allows medical staff to select appropriate commands based on actual needs. For example, drawing a circle in the air might indicate the magnifying glass's field of view, drawing a triangle might indicate adjusting the ventilation unit's airflow, and arranging two devices in a crossed position might indicate activating the massage unit. This flexibility and versatility allows the system to better adapt to different surgical scenarios and the needs of medical staff.

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

[0043] Furthermore, the integrated sensors and image recognition devices are also used to monitor the muscle tremors of medical staff, and to adjust the operation of the massage components based on the information on the muscle tremors of medical staff.

[0044] Beneficial Effects: Sensor and image recognition technologies can accurately capture and identify the muscle tremors of healthcare workers, a key indicator of muscle fatigue. By monitoring and analyzing these subtle muscle movements in real time, the system can accurately determine the degree of muscle fatigue, providing timely and effective massage relief. Based on the monitoring of muscle tremors, the massage components can be personalized according to the actual fatigue level of the healthcare worker. For severely fatigued areas, the system can increase the massage intensity and frequency, while reducing it for relatively relaxed areas. This personalized massage approach better meets the comfort needs of healthcare workers and improves their job satisfaction.

[0045] Furthermore, a sponge layer is fixedly connected to the seat plate, and the massage components and ventilation components on the seat plate are both located between the seat plate and the sponge layer. The sponge layer has several ventilation holes.

[0046] Beneficial effects: The sponge layer is soft, elastic, and highly shock-absorbing, effectively reducing the hardness and pressure felt by medical staff when sitting on the seat for extended periods. Simultaneously, the massage components operate beneath the sponge layer, providing a gentler and more comfortable massage experience through the sponge. A ventilation component, positioned between the seat and the sponge layer, combined with the vents in the sponge layer, ensures all-around ventilation. This not only effectively prevents stuffiness caused by prolonged surgery but also ensures uniform and smooth ventilation, improving overall comfort.

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

[0048] Beneficial effects: Because several airbags are connected sequentially via air tubes and powered by a first air pump, continuous and uniform inflation and deflation can be achieved. This rhythmic pressure change effectively simulates the techniques of manual massage, deeply relaxing the user's body and relieving muscle fatigue and tension. Several pressure valves connected to the airbags can be fine-tuned according to the user's needs and comfort. By adjusting the pressure valves, the user can control the intensity and rhythm of the massage, thus obtaining the most suitable massage experience for themselves.

[0049] Furthermore, the ventilation assembly includes several interconnected vent pipes, which are connected to a second air pump. The vent pipes are provided with several air outlets, and the second air pump is signal-connected to the processor.

[0050] Beneficial effects: Driven by the second air pump, the ventilation pipe can rapidly and continuously deliver fresh air, greatly enhancing ventilation. The processor can intelligently adjust the operating status of the second air pump according to environmental conditions and user needs, thereby ensuring that ventilation efficiency is always at its optimal level. Attached Figure Description

[0051] Figure 1 This is a schematic diagram of the support device according to an embodiment of the present invention.

[0052] Figure 2 This is a schematic diagram of the base plate according to an embodiment of the present invention.

[0053] Figure 3 This is a schematic diagram of the support components according to an embodiment of the present invention.

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

[0055] Figure 5 This is a structural diagram of an intelligent auxiliary system for microsurgery according to an embodiment of the present invention. Detailed Implementation

[0056] The following detailed description illustrates the specific implementation method:

[0057] The reference numerals in the accompanying drawings include: seat plate 1, support assembly 2, backrest plate 3, support member 4, vent hole 5, sponge layer 6, first air pump 7, airbag 8, air supply pipe 9, pressure valve 10, ventilation pipe 11, second air pump 12, microscope 13, monitoring camera 14, and sound sensor 15.

[0058] Example 1:

[0059] The basic implementation examples are as follows: Figure 1 Appendix Figure 2 Appendix Figure 3 Appendix Figure 4 and attached Figure 5 As shown:

[0060] An intelligent assistive system for microsurgery, including

[0061] The motion posture monitoring and intelligent adjustment module is used to monitor the motion posture of medical staff during microsurgery in real time by integrating sensors and image recognition devices. The captured data is transmitted to a 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, a sound sensor 15 and several monitoring cameras 14.

[0062] There are two support devices, which are located on both sides of the surgical patient. Each support device includes a seat plate 1, a liftable support component 2 at the bottom of the seat plate 1, a backrest 3 on one side of the seat plate 1, and the backrest 3 is slidably engaged with the side of the seat plate 1 away from the support component 2 by a drive component. Liftable support components 4 are connected to both sides of the seat plate 1. The support components 4 are used to support the arms of medical staff. The support component 2, the drive component and the support components 4 are all connected to the controller signal.

[0063] Massage components and ventilation components are provided on the seat plate 1, backrest plate 3, and support member 4. The massage components are connected to the controller via signal. A sponge layer 6 is fixedly connected to the seat plate 1. The massage components and ventilation components on the seat plate 1 are located between the seat plate 1 and the sponge layer 6. The sponge layer 6 has several ventilation holes 5.

[0064] The patient surgical site information monitoring module utilizes medical imaging technology and sensors, such as CT and MRI, to monitor the patient's surgical site in real time, acquire high-precision images of the surgical site, and transmit them to the processor. By combining the surgical site information with the movement and posture information of medical staff, the module can locate and navigate the surgical process.

[0065] The intelligent learning and real-time response module is used to learn from the movement and posture data of medical staff during historical surgeries based on machine learning algorithms and big data analysis technology. It identifies the surgical habits and movement patterns of medical staff and establishes a model of their surgical movements and postures. 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, it predicts the surgical movements and postures required by medical staff and responds in real time. The controller automatically adjusts the support device and surgical instruments.

[0066] The Human-Computer Interaction and Collaborative Operation Module provides a human-computer interaction interface 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 surgical process.

[0067] The specific implementation process is as follows: First, when User A (the medical staff) is preparing to perform microsurgery, the intelligent assistance system is activated. The system then enters working mode and begins monitoring User A's movements and postures. Through integrated sensors and image recognition devices, the system captures and transmits User A's movement and posture data during the surgery to the processor in real time. The processor quickly analyzes this data, determines User A's movement and posture requirements, and automatically adjusts the position, height, and angle of the support device accordingly to ensure that User A maintains a comfortable and stable posture during the surgery.

[0068] During the surgery, User A can sit on the seat 1 of the support device. The backrest 3 will slide and adjust its position according to User A's needs via a drive mechanism, providing suitable back support. At the same time, the support 4 will rise and support User A's arms, ensuring arm stability and operational accuracy. The massage and ventilation components on the seat 1, backrest 3, and support 4 will operate according to signals from the controller, providing comfortable massage and ventilation effects to reduce User A's fatigue during prolonged surgery.

[0069] Meanwhile, the patient surgical site information monitoring module utilizes medical imaging and sensor technologies to monitor the patient's surgical site information in real time and transmits high-precision images to the processor. By combining the surgical site information with user A's posture information, the system can accurately locate and navigate the surgical process, helping user A to perform surgical operations more precisely.

[0070] During the surgery, the intelligent learning and real-time response module predicts the surgical postures required by user A based on historical surgical data and real-time monitoring information, combined with an established model of surgical postures of medical staff. Once the requirement is predicted, the system responds in real time, automatically adjusting the support device and surgical instruments through the controller to assist user A in better completing the surgical procedure.

[0071] In addition, 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 adapt to different surgical needs. Simultaneously, the interface provides real-time feedback on key information during the surgical process, helping User A better understand the progress of the surgery.

[0072] Throughout the surgery, the intelligent assistance system continuously monitors and analyzes user A's movements and surgical site information, and makes real-time adjustments and optimizations as needed to ensure the smooth and efficient completion of the surgery, thereby improving surgical precision and efficiency to a certain extent.

[0073] Example 2:

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

[0075] It also includes a microscope module for medical personnel to observe. The microscope module includes a microscope 13 with electrically adjustable parameters. The microscope 13 is connected to the controller signal. Monitoring cameras 14 are fixedly connected to the bottom and top of the microscope 13 on both sides respectively. A sound sensor 15 is fixedly connected to one side of the bottom of the microscope 13.

[0076] When medical personnel issue instructions using medical devices, the instructions include, but are not limited to, drawing circles in the air, drawing triangles in the air, and placing two devices in an intersecting position.

[0077] The specific implementation process is as follows: When medical staff issue instructions using medical devices, the monitoring camera 14 at the bottom of the microscope 13, which is integrated with the sensor, will capture the dynamic information of the device in real time. The dynamic information of the device includes the movement trajectory and dynamic information of the medical device. This information includes parameters such as the position, speed, and acceleration of the medical device in space, as well as the specific action patterns of the medical device, such as drawing circles or triangles in the air, or placing two devices in an intersecting shape.

[0078] Image recognition technology processes and analyzes captured dynamic information of medical devices in real time. The system uses pre-set algorithms and models to identify specific commands and actions, converting them into corresponding control signals. These control signals are then transmitted to the controller, which executes the appropriate operations based on the commands.

[0079] For example, if medical staff use a medical instrument to draw circles in the air, the system may recognize this as a command to adjust the focal length of microscope 13. Upon receiving this command, the controller will automatically adjust the focal length of microscope 13 so that medical staff can observe the surgical site more clearly.

[0080] Similarly, if medical personnel draw a triangle in the air using medical instruments, the system may recognize this as a command to switch the observation mode of microscope 13. The controller will then adjust the observation mode of microscope 13 according to this command, such as switching from bright-field observation to dark-field observation.

[0081] Additionally, if medical staff place two instruments in a crossed position, the system may recognize this as a command to activate or deactivate a surgical assistance function. The controller will then activate or deactivate the corresponding function based on this command, such as automatically adjusting the position of the support device or activating the ventilation system.

[0082] In this way, medical staff can issue commands through simple medical device movements, and the system can recognize and execute these commands in real time, thereby improving the flexibility and convenience of surgery. Meanwhile, the electrically adjustable microscope 13 in the microscopy module also provides medical staff with a more precise and comfortable observation experience.

[0083] Example 3:

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

[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 monitoring cameras 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 this voice information into text or command codes.

[0086] Simultaneously, monitoring camera 14 captures facial information of medical staff. The facial images captured by monitoring camera 14 are transmitted to an image processing unit, where deep learning algorithms are used to recognize and analyze facial expressions. These algorithms, after extensive training, are capable of accurately identifying various emotional states, such as tension, fatigue, and pleasure.

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

[0088] Next, the system will comprehensively adjust the support device, massage component, and ventilation component based on the acquired voice command information, emotional state information, movement posture requirements, and patient surgical site information. For example, if the system detects that the medical staff is in a tense state, it may automatically adjust the intensity and frequency of the massage component to provide a soothing effect; if it detects that the medical staff has issued a voice command to adjust the focal length of microscope 13, the system will automatically adjust the focal length of microscope 13 through the controller.

[0089] The entire real-time process requires a high degree of system integration and responsiveness to ensure accurate and timely capture of various information and needs from medical staff, and to make corresponding adjustments. Furthermore, system stability and reliability are also crucial, as the operating room is an environment with extremely high requirements for precision and safety.

[0090] In this way, the intelligent assistance system can not only provide basic support and assistance functions, but also make personalized adjustments according to 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 tremor state of medical staff, and adjust the operation of the massage component based on the information on the muscle tremor state of medical staff.

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

[0094] Miniature sensors can monitor the electrical signals and mechanical vibrations of healthcare workers' muscles in real time, thereby capturing subtle changes in muscle tremors. These sensors are characterized by high sensitivity and rapid response, enabling them to accurately reflect the state of muscle tremors.

[0095] Meanwhile, high-definition cameras will capture the body movements and muscle changes of medical staff. Through 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 muscle tremors of healthcare workers, the system analyzes this data in real time and adjusts the operation of the massage components based on the analysis results. For example, if the system detects frequent or large muscle tremors, it may indicate that the healthcare worker is experiencing fatigue or tension. In this case, the system can automatically adjust the intensity, frequency, and massage mode of the massage components to provide a more comfortable and effective massage effect, helping healthcare workers relieve muscle fatigue and tension.

[0097] The entire real-time process requires the system to possess high accuracy and responsiveness to ensure timely detection of muscle tremors in medical staff and to make corresponding adjustments. Furthermore, the system needs intelligent learning and adaptive capabilities to personalize adjustments based on individual differences in medical staff and surgical needs.

[0098] Example 5:

[0099] The difference between this embodiment and the above embodiment is that: the massage component includes a first air pump 7 and several airbags 8, all of which are connected sequentially through air supply pipes 9. The first air pump 7 is connected to the air supply pipes 9, and several pressure valves 10 are connected to the airbags 8. The first air pump 7 is fixedly connected to one side of the seat plate 1, and the airbags 8 and air supply pipes 9 are located between the seat plate 1 and the sponge layer 6. The ventilation component includes several connected vent pipes 11, which are connected to a second air pump 12. Several air outlets are provided on the vent pipes 11, and the second air pump 12 is signal-connected to the processor.

[0100] The specific implementation process is as follows: When using the massage component and the ventilation component, the controller controls the operation of the first air pump 7 and the second air pump 12. The first air pump 7 inflates the air supply pipe 9 and the air bag 8, causing the gas to expand. The expansion and contraction of the air bag 8 is used to massage the user. The second air pump 12 inputs gas into the ventilation pipe 11. The gas rushes through the ventilation pipe 11 and the air outlet to output the gas, so that the gas is output from the vent 5 to cool the user and improve the comfort of medical staff.

[0101] The above descriptions are merely embodiments of the present invention, and common knowledge such as specific structures and / or characteristics in the solutions are not described in detail here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the structure of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described 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 real time during microsurgery by integrating sensors and image recognition devices, analyze motion posture requirements, and adjust the support device according to the motion posture requirements. The patient surgical site information monitoring module uses medical imaging and sensor technologies to monitor the patient's surgical site information in real time. By combining the surgical site information with the movement and posture information of medical staff, the module can locate and navigate the surgical process. The intelligent learning and real-time response module is used to learn from the movement and posture data of medical staff during historical surgeries based on machine learning algorithms and big data analysis technology, and establish a model of the surgical movement and posture 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 module predicts the surgical movement and posture required by medical staff and responds in real time, automatically adjusting the support device and surgical instruments through the controller. The integrated sensors and image recognition devices are also used to monitor the dynamic information of medical devices held by medical staff in real time. When medical staff use medical devices to issue commands, the commands are identified through the dynamic information of the devices, and the corresponding commands are controlled by the controller. The integrated sensors and image recognition devices are also used to acquire voice information and facial status information of medical staff in the operating room. The emotional state of medical staff is analyzed through the voice information and facial status information of medical staff in the operating room. Voice command information is acquired through the voice information. The support device, massage component and ventilation component are adjusted based on the voice command information, emotional status information, movement and posture requirements and information of the patient's surgical site.

2. The intelligent auxiliary system for microsurgery according to claim 1, characterized in that: It also includes a human-computer interaction and collaborative operation module, which provides a human-computer interaction interface. The 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 surgical process.

3. The intelligent auxiliary system for microsurgery according to claim 1, characterized in that: The support device includes a seat plate with a liftable support component at the bottom. A backrest is provided on one side of the seat plate, which is slidably engaged with the side of the seat plate away from the support component via a drive component. Liftable support components are connected to both sides of the seat plate, which are used to support the arms of medical personnel. The support component, drive component, and support components are all connected to the controller via signals.

4. The intelligent auxiliary system for microsurgery according to any one of claims 1-3, characterized in that: It also includes a microscope module for medical personnel to observe, which includes a microscope with electrically adjustable parameters and a signal connection between the microscope and the controller.

5. The intelligent auxiliary system for microsurgery according to claim 3, characterized in that: Massage and ventilation components are provided on the seat, backrest, and support. The massage components are connected to the controller via signal.

6. The intelligent auxiliary system for microsurgery according to claim 3, characterized in that: When medical personnel issue instructions using medical devices, the instructions include, but are not limited to, drawing circles in the air, drawing triangles in the air, and placing two devices in an intersecting position.

7. The intelligent auxiliary system for microsurgery according to claim 3, characterized in that: The integrated sensors and image recognition devices are also used to monitor the muscle tremors of healthcare workers, and to adjust the operation of the massage components based on the information about the muscle tremors of healthcare workers.

8. The intelligent auxiliary system for microsurgery according to claim 5, characterized in that: A sponge layer is fixedly connected to the seat plate. The massage and ventilation components on the seat plate are located between the seat plate and the sponge layer. The sponge layer has several ventilation holes.

9. The intelligent auxiliary system for microsurgery according to claim 8, characterized in that: The massage component includes a first air pump and several airbags, which are connected in sequence through air supply pipes. The first air pump is connected to the air supply pipes, and several pressure valves are connected to the airbags. The first air pump is fixedly connected to one side of the seat plate, and the airbags and air supply pipes are located between the seat plate and the sponge layer.

10. The intelligent auxiliary system for microsurgery according to claim 8, characterized in that: The ventilation assembly includes several interconnected vent pipes, which are connected to a second air pump. The vent pipes are provided with several air outlets, and the second air pump is signal-connected to the processor.

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