Intelligent head position identification and correction system in ophthalmologic operation

Abstract

The invention relates to the technical field of ophthalmologic operations, and provides an intelligent head position recognition and correction system in ophthalmologic operations, comprising: an intelligent pillow which is designed according to human head engineering, is provided with a self-adaptive adjustment module, and is used for performing automatic fine adjustment according to head contours and body types of different patients to ensure that the heads of the patients are stably supported; the infrared eyeball tracker is installed on a mechanical arm beside an operating bed, the infrared eyeball tracker is composed of a high-sensitivity infrared emitter, a wide-view-angle receiver and a matched optical filter, and the infrared eyeball tracker can stably work in a complex light environment and accurately capture infrared signals reflected by eyeballs. Through the high-precision nine-axis inertial measurement unit integrated in the intelligent pillow, various fine actions such as translation, rotation and inclination of the head can be monitored accurately in all directions, and the measurement precision reaches the sub-millimeter level and the sub-degree level. Therefore, the system can timely and accurately obtain the head position change information, and a reliable basis is provided for subsequent judgment and processing.

Description

Technical Field

[0001] The present invention relates to the technical field of ophthalmic surgery, specifically to an intelligent head position recognition and correction system in ophthalmic surgery. Background Art

[0002] Currently, the commonly used operating tables in clinical practice mainly rely on traditional surgical pillows for fixing the patient's head position. Such pillows are usually designed relatively fixedly, made of relatively hard materials, and their sizes cannot be adjusted according to the head shapes and body types of different patients. During the operation, it only plays a basic role in fixing the head. At the same time, in order to ensure the aseptic environment of the surgical area, an opaque disinfection hole towel is used to cover the patient's body during the operation, which further increases the difficulty of monitoring the patient's head position.

[0003] On the one hand, since the pillow cannot adapt to different patients, it is difficult to ensure that the head position is completely in the correct position and remains in the correct position throughout the operation after the patient lies on the operating table. On the other hand, when the patient's head position rotates during the operation, due to the obstruction of the disinfection hole towel, the doctor cannot timely and effectively identify the change of the patient's head position, let alone correct it. And the deviation of the head position, even if the operative eye gazes directly upward, may cause the eye position to be more deviated than the actual situation, thereby causing laser scanning eccentricity. This will not only affect the surgical effect and reduce the success rate of the operation, but also may bring unnecessary risks and postoperative complications to the patient, affecting the patient's visual quality and rehabilitation effect. Therefore, there is an urgent need in ophthalmic surgery for a system that can real-time monitor the patient's head position, timely detect head position deviation and give prompts and corrections, so as to improve the safety and accuracy of the operation and ensure the surgical effect and visual health of the patient. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides an intelligent head position recognition and correction system in ophthalmic surgery, which solves the problems that the pillow cannot adapt to different patients, it is difficult to ensure that the head position is completely in the correct position and remains in the correct position throughout the operation after the patient lies on the operating table, and the doctor cannot timely and effectively identify the change of the patient's head position, let alone correct it. And the deviation of the head position, even if the operative eye gazes directly upward, may cause the eye position to be more deviated than the actual situation, thereby causing laser scanning eccentricity.

[0005] To achieve the above purposes, the present invention is realized through the following technical solutions: An intelligent head position recognition and correction system in ophthalmic surgery, including:

[0006] An intelligent pillow, which is designed according to human head ergonomics and has an adaptive adjustment module for automatically fine-tuning according to the head contours and body types of different patients to ensure stable support for the patient's head;

[0007] An infrared eye tracker, which is installed on a robotic arm beside the operating table. The infrared eye tracker consists of a high-sensitivity infrared emitter, a wide-angle receiver, and a supporting optical filter, and can work stably in a complex lighting environment to accurately capture the infrared signals reflected by the eyes;

[0008] A central processing unit, which is wirelessly communicatively connected to the intelligent pillow and the infrared eye tracker, receives and processes the data from both in real time. This unit is built-in with a high-performance dedicated image processor and an artificial intelligence algorithm acceleration chip, and can quickly analyze the head position and eye position data, judge whether the head position is accurate, and issue a control instruction in a timely manner when a deviation is detected;

[0009] A feedback prompting device, which includes multi-color LED light strips and high-quality speakers arranged around the operating table, and is used to emit flashing lights of different colors and sound prompts of specific frequencies and rhythms according to the direction and degree of the head position deviation, and to interact with the intelligent wearable device worn by the surgeon.

[0010] Preferably, the adaptive adjustment module includes a high-precision nine-axis inertial measurement unit integrated inside the intelligent pillow to comprehensively and accurately monitor various subtle movements of the head such as translation, rotation, and tilt. The measurement accuracy reaches the sub-millimeter level and the sub-degree level. The nine-axis inertial measurement unit includes a gyroscope, an accelerometer, and a magnetometer.

[0011] Preferably, the surface of the intelligent pillow is made of a medical nano material with a self-cleaning function.

[0012] Preferably, a pressure sensor array is also arranged inside the intelligent pillow, which can real-time monitor the pressure distribution of different regions of the patient's head, judge the force state of the patient's head through the analysis of the pressure data, and provide a basis for adjusting the support structure of the pillow.

[0013] Preferably, the infrared eye tracker is equipped with an optical lens with an automatic focusing and zooming function, which can automatically adjust the focal length according to the distance between the patient's head and the tracker to ensure clear and stable capture of the eye reflection signals in different surgical scenarios.

[0014] Preferably, the central processing unit integrates a head position and eye position recognition model based on deep learning. This model is trained with a large amount of head position and eye position data in surgical scenarios, can accurately identify the head position deviation patterns in various complex situations, and has self-learning and self-adaptive capabilities to continuously optimize the recognition accuracy according to the actual surgical data.

[0015] Preferably, it further includes a data storage and management module for storing head position and eye position data, patient information, system operation logs, etc. during the operation. The data storage uses encryption technology to ensure the security and privacy of patient data, and at the same time supports data export and analysis to provide data support for subsequent surgical effect evaluation and system optimization.

[0016] Preferably, an interface with the hospital information management system is also set up to realize the automatic synchronization and sharing of patient information, enabling medical staff to quickly obtain the basic information and medical records of patients before the operation.

[0017] Preferably, the intelligent pillow and the infrared eye tracker adopt shielding materials and circuit designs to avoid electromagnetic interference to other medical devices in the operating room and can also resist external electromagnetic interference.

[0018] Preferably, both the intelligent pillow and the infrared eye tracker are equipped with emergency backup power supplies to ensure the continuous operation of the system in case of power failure during the operation.

[0019] Working principle:

[0020] Preoperative preparation stage: Before the operation, medical staff place the patient's head on the intelligent pillow. The intelligent pillow is designed according to human head ergonomics. The self-cleaning medical nano-material on its surface provides a comfortable and hygienic contact experience for the patient. The high-precision nine-axis inertial measurement unit inside the pillow starts to work. The adaptive adjustment module makes automatic fine-tuning according to the patient's head contour and body shape. The pressure sensor array real-time monitors the pressure distribution in different areas of the head to ensure stable support for the patient's head. At the same time, medical staff quickly obtain the basic information and medical records of the patient through the interface between the system and the hospital information management system to make full preparations for the operation.

[0021] Surgical Procedure Phase: After the surgery begins, the infrared eye tracker is installed on the robotic arm beside the operating table. Its highly sensitive infrared emitter emits infrared rays, and the wide-angle receiver, together with the optical lens with automatic focus and zoom functions, precisely captures the infrared signals reflected by the eyeball in complex lighting environments. The intelligent pillow and the infrared eye tracker transmit the collected data to the central processing unit through wireless communication. The high-performance dedicated image processor and artificial intelligence algorithm acceleration chip built into the central processing unit quickly analyze the head position and eye position data. Based on the deep learning-based head position and eye position recognition model, it accurately determines whether the head position is accurate. If a head position deviation is detected, the central processing unit promptly issues a control instruction. The multi-color LED strip of the feedback prompt device flashes different colors to indicate the direction and degree of the deviation, and the high-quality speaker emits sounds with specific frequencies and rhythms for prompting. At the same time, it conducts information interaction with the intelligent wearable device worn by the surgeon. For example, when the patient's head deflects slightly to the right, the right area of the LED strip emits red flashing light, and the speaker emits a rapid "beep" sound. At this time, the adaptive adjustment module inside the intelligent pillow, on the premise of ensuring the patient's comfort and safety, fine-tunes the support structure according to the instruction of the central processing unit to assist the patient's head to return to the correct position.

[0022] Data Management and Application Phase: Throughout the surgery process, the data storage and management module continuously records the head position and eye position data, patient information, and system operation logs, etc. After the surgery, the doctor can export this data for analysis to evaluate the impact of the head position stability during the surgery on the surgical effect. For example, through analysis, it is found that a certain type of patient is prone to head position deviation during a specific stage of the surgery. The doctor can take preventive measures in advance during subsequent surgeries or further optimize the system's parameter settings for this situation. At the same time, these data also provide an important basis for the hospital to evaluate the surgical quality and continuously improve the system.

[0023] The present invention provides a head position intelligent recognition and correction system for ophthalmic surgery. It has the following beneficial effects:

[0024] 1. Through the high-precision nine-axis inertial measurement unit integrated inside the intelligent pillow of the present invention, it can comprehensively and precisely monitor various subtle movements of the head, such as translation, rotation, and tilt, with measurement accuracies reaching the sub-millimeter level and sub-degree level. This enables the system to timely and accurately obtain the head position change information, providing a reliable basis for subsequent judgment and processing.

[0025] 2. Through the infrared eye tracker equipped with a highly sensitive infrared emitter, a wide-angle receiver, a supporting optical filter, and an optical lens with automatic focus and zoom functions, the present invention can operate stably in complex lighting environments, precisely capture the infrared signals reflected by the eyeball, and clearly and stably track regardless of how the distance between the patient's head and the tracker changes, further improving the accuracy of head position monitoring. Description of the Drawings

[0026] Figure 1 is the system diagram of the present invention;

[0027] Figure 2 is the system block diagram of the data storage and management module in the present invention;

[0028] Figure 3 is the system block diagram of the feedback prompting device in the present invention;

[0029] Figure 4 is the system diagram of the central processing unit in the present invention;

[0030] Figure 5 is the structural block diagram of the infrared eye tracker in the present invention;

[0031] Figure 6 is the flow chart of the present invention. Detailed Description of the Invention

[0032] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0033] Please refer to the attached Figure 1 - attached Figure 6 , the present invention provides a head position intelligent recognition and correction system for ophthalmic surgery, including:

[0034] Please refer to the attached Figure 1 , an intelligent pillow, the surface of which is made of a medical nano material with self-cleaning function, designed according to human head ergonomics, and integrated with a high-precision nine-axis inertial measurement unit inside to perform all-round and accurate monitoring of various subtle movements of the head such as translation, rotation, and tilt, with a measurement accuracy reaching sub-millimeter level and sub-degree level. The nine-axis inertial measurement unit includes a gyroscope, an accelerometer, and a magnetometer, and is used for automatic fine-tuning according to the head contours and body types of different patients to ensure stable support for the patient's head. At the same time, a pressure sensor array is also provided, which can real-time monitor the pressure distribution of different regions of the patient's head, and judge the stress state of the patient's head by analyzing the pressure data, providing a basis for adjusting the support structure of the pillow;

[0035] Please refer to the attached Figure 5, an infrared eye tracker, which is installed on a robotic arm beside the operating table. The infrared eye tracker consists of a high-sensitivity infrared emitter, a wide-angle receiver, and a supporting optical filter, and can work stably in a complex lighting environment, accurately capture the infrared signals reflected by the eyes, and is equipped with an optical lens with automatic focusing and zoom functions, which can automatically adjust the focal length according to the distance between the patient's head and the tracker to ensure clear and stable capture of the eye reflection signals in different surgical scenarios;

[0036] Please refer to the appendix Figure 4 , a central processing unit, which is wirelessly connected to the intelligent pillow and the infrared eye tracker, receives and processes the data from both in real time. This unit is built with a high-performance dedicated image processor and an artificial intelligence algorithm acceleration chip, which can quickly analyze the head position and eye position data, judge whether the head position is accurate, and send control instructions in time when a deviation is detected. It integrates a head position and eye position recognition model based on deep learning. This model is trained with a large amount of head position and eye position data in surgical scenarios, can accurately identify the head position deviation patterns in various complex situations, and has self-learning and adaptive capabilities to continuously optimize the recognition accuracy according to the actual surgical data;

[0037] Please refer to the appendix Figure 3 , a feedback prompt device, which includes multi-color LED light strips and high-quality speakers arranged around the operating table, and is used to emit flashing lights of different colors and sound prompts of specific frequencies and rhythms according to the direction and degree of the head position deviation, and conduct information interaction with the intelligent wearable device worn by the surgeon.

[0038] Please refer to the appendix Figure 2 , a data storage and management module, which is used to store the head position and eye position data, patient information, system operation logs, etc. during the operation. The data storage uses encryption technology to ensure the security and privacy of patient data, and at the same time supports data export and analysis to provide data support for subsequent surgical effect evaluation and system optimization.

[0039] In addition, the intelligent pillow and the infrared eye tracker adopt shielding materials and circuit designs to avoid electromagnetic interference to other medical devices in the operating room, and can also resist external electromagnetic interference, and are equipped with an emergency backup power supply to ensure that the system continues to work in case of a power outage during the operation. An interface with the hospital information management system is also set up to realize the automatic synchronization and sharing of patient information, so that medical staff can quickly obtain the basic information and medical records of patients before the operation.

[0040] The following combines specific embodiments:

[0041] Embodiment 1: Conventional ophthalmic surgery

[0042] Preoperative preparation stage:

[0043] In an ophthalmic operating room, a routine lens implantation or replacement surgery is about to be performed, such as implantable collamer lens (ICL) implantation or cataract surgery. Before the surgery, medical staff guide the patient to lie on the operating table and gently place the patient's head on the intelligent pillow. The intelligent pillow is designed according to human head ergonomics, and the medical nano-material with self-cleaning function on its surface not only feels comfortable but also can effectively inhibit the growth of bacteria, providing a hygienic contact environment for the patient.

[0044] The high-precision nine-axis inertial measurement unit integrated inside the pillow quickly starts to work. This unit includes a gyroscope, an accelerometer, and a magnetometer, which can comprehensively and accurately monitor various subtle movements of the head, such as translation, rotation, and tilt, with measurement accuracies reaching sub-millimeter and sub-degree levels. It begins to collect the initial position data of the patient's head, and the adaptive adjustment module automatically fine-tunes based on this data, combined with the patient's head contour and body shape. For example, if it detects that the patient's head is slightly tilted to one side, the adaptive adjustment module will control the support structure inside the intelligent pillow to fine-tune the height and hardness of the corresponding area, so that the patient's head can be stably supported and ensure that the head will not shift due to poor initial position during the surgery.

[0045] At the same time, the pressure sensor array inside the intelligent pillow real-time monitors the pressure distribution of different areas of the patient's head. By analyzing the pressure data, it judges the stress state of the patient's head, providing a basis for further adjusting the support structure of the pillow. When it is found that the pressure in a certain area of the patient's head is too high, the adaptive adjustment module will appropriately adjust the support strength of this area to improve the patient's comfort and avoid the patient unconsciously moving the head during the surgery due to excessive local pressure.

[0046] Medical staff quickly obtain the patient's basic information and medical records through the interface between the system and the hospital information management system, including the patient's medical history, allergy history, previous eye examination results, etc. These information are crucial for the surgeon to formulate the surgical plan and evaluate the surgical risks, ensuring that the surgery can proceed more smoothly.

[0047] Surgical operation stage:

[0048] The surgery officially begins, and the infrared eye tracker installed on the robotic arm beside the operating table starts to work. Its high-sensitivity infrared emitter emits infrared rays, and the wide-angle receiver cooperates with the optical lens with automatic focusing and zoom functions to accurately capture the infrared signals reflected by the eyeball in the complex surgical lighting environment. The optical lens can automatically adjust the focal length according to the distance between the patient's head and the tracker, ensuring that the reflected signals of the eyeball can be clearly and stably captured in different surgical scenarios. Even if the patient's head moves slightly during the surgery, the tracker can continuously and accurately track the position of the eyeball.

[0049] The intelligent pillow and the infrared eye tracker transmit the collected head position and eye position data to the central processing unit through wireless communication. The central processing unit is built with a high-performance dedicated image processor and an artificial intelligence algorithm acceleration chip to quickly analyze this data. The head position and eye position recognition model based on deep learning, trained with a large amount of head position and eye position data in surgical scenarios, can accurately identify head position deviation patterns in various complex situations and has the ability of self-learning and self-adaptation. It quickly determines whether the head position is accurate based on the received data.

[0050] During the operation, assume that the patient's head turns slightly to the left due to nervousness. After detecting the head position deviation, the central processing unit issues a control instruction in a timely manner. The left area of the multicolor LED light strip of the feedback prompt device emits a red flashing light, and the high-quality speaker emits a fast-paced "beep" sound. At this time, the adaptive adjustment module inside the intelligent pillow, on the premise of ensuring the comfort and safety of the patient, fine-tunes the support structure according to the instruction of the central processing unit to assist the patient's head to return to the correct position. For example, by adjusting the inflation volume of the airbag inside the pillow, changing the support height, and guiding the patient's head to gradually return to the correct position to ensure the accuracy of the operation.

[0051] Data management and application stage:

[0052] During the entire operation, the data storage and management module continuously records the head position and eye position data, patient information, and system operation logs, etc. These data are stored in a storage device using encryption technology to ensure the security and privacy of patient data. After the operation, the doctor can export these data through a dedicated data export interface for analysis.

[0053] By analyzing the data, the doctor finds that during a specific stage of the operation, the patient is prone to slight head position deviation. In response to this situation, the doctor can take preventive measures in subsequent operations in advance, such as fully communicating with the patient before the operation to relieve the patient's nervousness and reduce head position changes caused by nervousness; or further optimize the system parameter settings for this situation to improve the sensitivity and correction effect of the system to head position deviation at this stage. At the same time, these data also provide an important basis for the hospital to evaluate the surgical quality and continuously improve the system. The hospital can summarize the laws of head position changes of different surgical types and different patient groups through the analysis of the data of multiple operations, providing a reference for optimizing the surgical process and improving the surgical quality.

[0054] Example 2: Fine femtosecond LASI K surgery

[0055] Preoperative preparation stage:

[0056] Prepare for a delicate femtosecond LASIK surgery. The surgery is divided into two steps, namely femtosecond laser scanning and excimer laser ablation. Although the surgery time is very short and the key steps (femtosecond laser scanning and excimer laser ablation) only take dozens of seconds to complete, the surgical precision requirement is very high. Therefore, higher requirements are placed on the stability of the patient's head position and the centration of the eye position. Medical staff place the intelligent pillow for the patient more carefully before the operation. When placing the patient's head, it is necessary to ensure not only that the adaptive adjustment module of the intelligent pillow can effectively fine-tune according to the patient's head contour and body type, but also to re-check and confirm the parameters of the intelligent pillow.

[0057] Medical staff obtain the patient's detailed medical records through the interface between the system and the hospital information management system, including the patient's vision, refractive status, corneal shape parameters, eye position, as well as the history of eye diseases and systemic medical history. Combining this information, the surgical team formulates a more detailed surgical plan and also formulates a response plan for possible head position changes.

[0058] Surgical stage:

[0059] During the operation, the patient's nervousness and poor psychological quality will increase the possibility of head position and eye position changes. The infrared eye tracker and the intelligent pillow continuously and stably collect head position and eye position data and transmit them to the central processing unit in real time.

[0060] Before the alignment during femtosecond laser scanning, during femtosecond laser scanning or excimer laser ablation, if the patient's head suddenly makes a large-amplitude rotation. The central processing unit quickly detects this serious head position deviation and immediately issues a control instruction. The multi-color LED strip of the feedback prompt device indicates the direction of the head position deviation with strong flashing lights, and the high-quality speaker emits a rapid and loud alarm sound.

[0061] The adaptive adjustment module inside the intelligent pillow responds quickly. On the premise of ensuring the patient's safety, it greatly adjusts the support structure. For example, by quickly adjusting the inflation volume of multiple airbags, the pillow can quickly adapt to the new position of the patient's head, provide stable support for the head, and minimize the impact of head position changes on the operation. At the same time, the surgeon pauses the current operation according to the prompt information, reminds the patient of the correct gazing direction, waits for the patient's head position and eye position to be in the correct position and stable, and then continues the operation to avoid surgical mistakes caused by head position and eye position deviations.

[0062] Data management and application stage:

[0063] After the operation, the large amount of data stored in the data storage and management module provides an important basis for analyzing the operation process, improving the operation plan, and optimizing the system. Through in-depth analysis of the data, doctors found that the large fluctuations in the head and eye positions of patients during the operation were related to the patients' nervousness and the discomfort caused by the operation. In response to this discovery, in subsequent similar operations, the hospital can let patients undergo preoperative fixation training, comfort patients during the operation to help them relax, optimize the anesthesia plan, reduce the discomfort and nervousness of patients during the operation, thereby reducing the risk of head and eye position changes.

[0064] The hospital can also further optimize the head position intelligent recognition and correction system in ophthalmic surgery based on this data. For example, improve the response speed and correction strength of the system to large head position changes, and improve the function of the feedback prompt device, so that doctors can more intuitively and accurately understand the head position deviation, thereby improving the application effect of the entire system in complex operations and ensuring the surgical safety and treatment effect of patients.

[0065] Example 3: Complex ophthalmic surgery

[0066] Preoperative preparation stage:

[0067] Prepare for a complex retinal repair operation. Due to the high difficulty and long duration of the operation, higher requirements are placed on the stability of the patient's head position. Medical staff more carefully place the intelligent pillow for the patient before the operation. When placing the patient's head, not only ensure that the adaptive adjustment module of the intelligent pillow can make effective fine-tuning according to the patient's head contour and body type, but also re-check and confirm the parameters of the intelligent pillow.

[0068] Medical staff obtain the patient's detailed medical records, including the patient's previous ophthalmic surgery history, the development of eye diseases, etc., through the interface between the system and the hospital information management system. Combining this information, the surgical team formulates a more detailed surgical plan and also formulates a response plan for possible head position changes.

[0069] Surgical stage:

[0070] During the operation, the complex operation and long operation time increase the possibility of the patient's head position change. The infrared eye tracker and the intelligent pillow continuously and stably collect head and eye position data and transmit it to the central processing unit in real time.

[0071] When the operation reaches a critical step, the patient's head suddenly makes a large rotation. The central processing unit quickly detects this serious head position deviation and immediately issues a control instruction. The multi-color LED light strip of the feedback prompt device indicates the head position deviation direction with strong flashing light, and the high-quality speaker emits a rapid and loud alarm sound.

[0072] The adaptive adjustment module inside the intelligent pillow responds quickly. On the premise of ensuring the patient's safety, it greatly adjusts the support structure. For example, by quickly adjusting the inflation volume of multiple airbags, the pillow can quickly adapt to the new position of the patient's head, provide stable support for the head, and minimize the impact of head position changes on the operation. At the same time, according to the prompt information, the surgeon pauses the current operation and waits for the patient's head position to stabilize before continuing the operation, avoiding surgical mistakes caused by head position deviation.

[0073] Data management and application stage:

[0074] After the operation, the large amount of data stored in the data storage and management module becomes an important basis for analyzing the operation process, improving the operation plan, and optimizing the system. Through in-depth analysis of the data, doctors found that the large head position changes during the operation were related to the pain stimuli caused by the operation. In response to this discovery, the hospital can optimize the anesthesia plan in subsequent similar operations to reduce the pain of patients during the operation, thereby reducing the risk of head position changes.

[0075] The hospital can also further optimize the head position intelligent recognition and correction system in ophthalmic surgery based on this data. For example, improve the response speed and correction strength of the system to large head position changes, and improve the function of the feedback prompt device, so that doctors can more intuitively and accurately understand the head position deviation, thereby improving the application effect of the entire system in complex operations and ensuring the surgical safety and treatment effect of patients.

[0076] From the above three embodiments, it can be seen that in different types of ophthalmic surgeries, the modules of the head position intelligent recognition and correction system of the present invention cooperate closely, effectively realizing precise monitoring and timely correction of the head position, providing strong guarantee for the smooth progress of ophthalmic surgery. In future clinical applications, with the continuous development and improvement of technology, this system is expected to play a greater role in improving the quality of ophthalmic surgery.

[0077] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent head position recognition and correction system in ophthalmic surgery, characterized by: include: The smart pillow is designed based on human head engineering and has an adaptive adjustment module that can be used to automatically fine-tune according to the head contours and body shapes of different patients to ensure stable support for the patient's head; An infrared eye tracker is installed on a robotic arm next to the operating table. The infrared eye tracker consists of a high-sensitivity infrared transmitter, a wide-viewing angle receiver, and a matching optical filter. It can work stably in complex lighting environments and accurately capture infrared signals reflected by the eyeballs. The central processing unit is connected to the smart pillow and infrared eye tracker through wireless communication, receiving and processing data from both in real time. The unit has a built-in high-performance dedicated image processor and artificial intelligence algorithm acceleration chip, which can quickly analyze the head position and eye position data, determine whether the head position is accurate, and issue control instructions in time when deviations are detected; The feedback prompt device includes a multi-color LED light strip and a high-quality speaker arranged around the operating table, which is used to emit flashing lights of different colors and sound prompts of specific frequency and rhythm according to the direction and degree of head deviation, and interact with the smart wearable device worn by the surgeon.

2. The intelligent head position recognition and correction system in ophthalmic surgery according to claim 1, characterized in that: The adaptive adjustment module includes a high-precision nine-axis inertial measurement unit integrated inside the smart pillow to perform all-round and accurate monitoring of various subtle movements of the head, such as translation, rotation, and tilt, with measurement accuracy reaching sub-millimeter and sub-degree levels. The nine-axis inertial measurement unit includes a gyroscope, an accelerometer, and a magnetometer.

3. The intelligent head position recognition and correction system in ophthalmic surgery according to claim 1, characterized in that: The surface of the smart pillow is made of medical nanomaterials with a self-cleaning function.

4. The intelligent head position recognition and correction system in ophthalmic surgery according to claim 1, characterized in that: The smart pillow is also equipped with a pressure sensor array, which can monitor the pressure distribution in different areas of the patient's head in real time. By analyzing the pressure data, the stress state of the patient's head can be determined to provide a basis for adjusting the support structure of the pillow.

5. The intelligent head position recognition and correction system in ophthalmic surgery according to claim 1, characterized in that: The infrared eye tracker is equipped with an optical lens with autofocus and zoom functions, which can automatically adjust the focal length according to the distance between the patient's head and the tracker, ensuring that the eye reflex signal can be captured clearly and stably in different surgical scenarios.

6. The intelligent head position recognition and correction system for ophthalmic surgery according to claim 1, characterized in that: The central processing unit integrates a head position and eye position recognition model based on deep learning. The model has been trained with head position and eye position data in a large number of surgical scenarios. It can accurately identify head position deviation patterns in various complex situations and has self-learning and adaptive capabilities to continuously optimize the recognition accuracy based on actual surgical data.

7. The intelligent head position recognition and correction system in ophthalmic surgery according to claim 1, characterized in that: It also includes a data storage and management module for storing head and eye position data, patient information, and system operation logs during surgery. The data storage uses encryption technology to ensure the security and privacy of patient data. It also supports data export and analysis, providing data support for subsequent surgical effect evaluation and system optimization.

8. The intelligent head position recognition and correction system in ophthalmic surgery according to claim 1, characterized in that: An interface with the hospital information management system is also provided to achieve automatic synchronization and sharing of patient information, so that medical staff can quickly obtain the patient's basic information and medical records before surgery.

9. The intelligent head position recognition and correction system in ophthalmic surgery according to claim 1, characterized in that: The smart pillow and infrared eye tracker use shielding materials and circuit designs to avoid electromagnetic interference to other medical equipment in the operating room, while also being able to resist external electromagnetic interference.

10. The intelligent head position recognition and correction system in ophthalmic surgery according to claim 1, characterized in that: The smart pillow and infrared eye tracker are both equipped with emergency backup power supplies to ensure that the system continues to work in the event of a power outage during surgery.

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