Mechanical hand-assisted lifting device with airway intelligent assessment system

Abstract

This invention discloses a robotic arm-assisted airway support device with an intelligent airway assessment system, belonging to the field of airway support technology. The invention includes a robotic arm, a mask, and a housing. A robotic hand is provided at the end of the robotic arm. A magnetic block is connected to the bottom of the mask and attracts the robotic arm. A linear drive component is provided inside the mask, and a high-definition measurement camera is mounted on the linear drive component. An intelligent airway assessment system, connected to the high-definition measurement camera, the robotic arm, and the robotic hand, is located inside the housing. This invention uses an assessment and analysis module to compare these parameters with preset airway assessment standards and a clinical database. Utilizing built-in algorithms from various classic airway assessment models, it automatically converts quantitative indicators into a visualized airway difficulty score, clearly determining the patient's low, medium, or high airway risk level and generating targeted airway management recommendations.

Description

Technical Field

[0001] This invention belongs to the field of airway-assisted lifting, specifically, it relates to a robotic arm-assisted lifting device with an intelligent airway assessment system. Background Technology

[0002] Airway support devices play a crucial role in clinical emergency care and anesthesia, primarily used to help open the patient's airway and ensure unobstructed breathing. However, existing airway support devices have many shortcomings in practical applications. The invention aims to assess the role of airway by integrating high-precision sensor modules and intelligent algorithms to monitor and analyze key physiological parameters and mechanical states during the patient's airway opening process in real time, providing a scientific and quantitative assessment basis for clinical operations. Specifically, the device can sense the magnitude and distribution of pressure applied to the patient's jaw, neck, and other areas during the lifting process through built-in pressure sensors. This avoids soft tissue damage due to excessive pressure or poor airway opening due to insufficient pressure. First, traditional lifting devices rely heavily on the experience of medical staff, which is highly subjective and makes it difficult to precisely control the lifting force and angle. This can easily cause secondary injuries to the patient due to improper operation, such as cervical spine injuries. Second, for patients with special body types or complex airway conditions, manual lifting often fails to achieve the ideal airway opening effect, affecting subsequent ventilation and treatment. In addition, in emergency situations, medical staff need to handle multiple tasks simultaneously, and manual airway lifting can distract them, potentially delaying valuable treatment time. Furthermore, existing devices lack real-time monitoring and intelligent evaluation functions for airway opening effectiveness. Medical staff cannot promptly understand whether the lifting operation is effective and cannot make precise adjustments based on feedback, thus affecting the efficiency and safety of airway management. These problems urgently require a robotic arm-assisted lifting device with an integrated intelligent evaluation system to solve.

[0003] In view of this, the present invention is proposed. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a robotic arm-assisted lifting device with an intelligent airway assessment system, thereby solving the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the basic concept of the technical solution adopted by the present invention is as follows: A robotic arm-assisted lifting device with an intelligent airway assessment system includes: a robotic arm, a mask, and a housing, wherein a robotic hand is provided at the end of the robotic arm; A magnetic block that attracts the robotic arm is connected to the bottom of the mask. A linear drive is provided on the inside of the mask, and a high-definition measuring camera is provided on the linear drive. The housing is equipped with an airway intelligent assessment system connected to the high-definition measurement camera, the robotic arm, and the robotic hand. The housing is also equipped with a high-definition screen connected to the airway intelligent assessment system. The intelligent airway assessment system includes an image acquisition module, a data processing module, an assessment and analysis module, and a control command generation module.

[0006] Optionally, the image acquisition module is connected to the high-definition measurement camera to receive and transmit images of the patient's pharynx, mandible, incisors, and neck region captured by the camera.

[0007] Optionally, the data processing module preprocesses the images acquired by the high-definition measurement camera, including noise reduction, enhancement, and feature extraction, and identifies key parameters of the pharynx, mandible, incisors, and neck structure, such as Martin's gradation, thyromental distance, mouth opening, neck mobility, and mandibular protrusion ability.

[0008] Optionally, the assessment and analysis module, based on key parameters extracted by the data processing module and combined with preset airway assessment standards and clinical databases, comprehensively determines the airway difficulty level of the patient. This module has built-in multiple classic airway assessment model algorithms, which can automatically convert quantitative indicators such as Maslow's classification, hemangiomental distance, and mouth opening into a visualized airway difficulty score, and generate preliminary airway management suggestions, such as indicating the risk level of the patient's difficult airway, and possibly applicable intubation tools or auxiliary means.

[0009] Optionally, the risk level can be, for example, low risk, medium risk, and high risk.

[0010] Optionally, the control command generation module sends precise control commands to the robotic arm and the robotic hand based on the airway difficulty level and management suggestions output by the evaluation and analysis module, combined with preset motion control logic. This drives the robotic arm and the robotic hand to automatically and personally lift and position the patient's head and neck, ensuring that the patient's airway is in the best open state during assisted ventilation and assisting medical staff in successfully establishing the airway.

[0011] Optionally, a flexible silicone pad is provided on the contact surface of the robotic hand, and a pressure sensor is embedded inside the flexible silicone pad.

[0012] Optionally, the pressure sensor is electrically connected to the airway intelligent assessment system to monitor the pressure value when the robotic hand contacts the patient's head and neck in real time, and feeds the pressure data back to the data processing module. When the pressure value exceeds a preset safety threshold, the command generation module will automatically adjust the driving force of the robotic arm to avoid causing pressure injury to the patient. At the same time, the high-definition screen will display the real-time pressure value and pressure distribution heat map.

[0013] Optionally, the linear drive is a miniature electric push rod, the drive end of which is fixedly connected to the high-definition measuring camera, enabling the high-definition measuring camera to move in multiple dimensions along the horizontal and vertical directions inside the mask.

[0014] Optionally, the housing also contains a rechargeable lithium battery pack to provide a stable DC power supply for the electrical components of the entire device. A charging port is provided on the side of the housing to support fast charging and low battery reminder. When the battery level is below 20%, the high-definition screen will display a battery warning icon.

[0015] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art. Of course, any product implementing the present invention does not necessarily need to achieve all of the following advantages at the same time: The intelligent airway assessment system installed within the casing enables intelligent assessment and precise lifting of the patient's airway. The system first receives images of the patient's pharynx, mandible, incisors, and neck region from a high-definition measuring camera via an image acquisition module. The data processing module then preprocesses the images, performing noise reduction and enhancement, and accurately identifies key anatomical parameters such as the Martingale gradation, thyromental distance, mouth opening, neck mobility, and mandibular protrusion ability. The assessment and analysis module compares these parameters with preset airway assessment standards and a clinical database. Using built-in algorithms from various classic airway assessment models, it automatically converts quantitative indicators into a visualized airway difficulty score, clearly determining the patient's low, medium, or high airway risk level and generating targeted airway management suggestions, such as indicating suitable intubation tools or assistive devices. Based on this, the control command generation module, combined with preset motion control logic, sends commands to the robotic arm and robotic hand. Precise control commands drive the robotic arm to automatically and individually lift and position the patient's head and neck. During this process, pressure sensors embedded in the flexible silicone pad on the contact surface of the robotic arm monitor the contact pressure in real time and feed the data back to the data processing module. If the pressure value exceeds the preset safety threshold, the control command generation module will immediately adjust the driving force of the robotic arm to prevent pressure injury. At the same time, the high-definition screen displays real-time pressure values ​​and a pressure distribution heat map, allowing medical staff to intuitively grasp the operation status. In addition, the linear drive component drives the high-definition measurement camera to move in multiple dimensions inside the mask, ensuring the comprehensiveness and accuracy of image acquisition. The rechargeable lithium battery pack inside the shell provides stable power support for the entire device, ensuring the continuous and reliable operation of the device in critical scenarios such as clinical emergency care and anesthesia. This effectively improves the efficiency and safety of airway management, reduces operational risks, and provides patients with better medical care.

[0016] The specific embodiments of the present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0017] The accompanying drawings described below are merely some embodiments. Those skilled in the art can obtain other drawings based on these drawings without any creative effort. In the drawings: Figure 1 This is a schematic diagram of the robotic arm structure; Figure 2 This is a schematic diagram of the mask structure; Figure 3 This is a schematic diagram of a high-definition screen structure; Figure 4 This is a schematic diagram of the mechanical hand structure.

[0018] The attached diagram lists the components represented by each number as follows: 1. Robotic arm; 2. Robotic hand; 3. Magnetic block; 4. Mask; 5. Linear drive component; 6. High-definition measuring camera; 7. Housing; 8. High-definition screen; 9. Flexible silicone pad.

[0019] It should be noted that these accompanying drawings and textual descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art by referring to specific embodiments. Detailed Implementation

[0020] The invention will now be described in further detail with reference to the accompanying drawings.

[0021] Example 1: Please see Figure 1-4 As shown, this embodiment provides a robotic arm-assisted lifting device with an intelligent airway assessment system, including: a robotic arm 1, a mask 4 and a housing 7, with a robotic hand 2 provided at the end of the robotic arm 1; A magnetic block 3 that is attracted to the robotic arm 1 is connected to the bottom of the mask 4. A linear drive component 5 is provided on the inside of the mask 4. A high-definition measuring camera 6 is provided on the linear drive component 5. The housing 7 is equipped with an airway intelligent assessment system that is connected to the high-definition measurement camera 6, the robotic arm 1 and the robotic hand 2. The housing 7 is equipped with a high-definition screen 8 that is connected to the airway intelligent assessment system. The high-definition screen 8 can be connected to the high-definition measurement camera 6 via Bluetooth. The intelligent airway assessment system includes an image acquisition module, a data processing module, an assessment and analysis module, and a control command generation module.

[0022] The intelligent airway assessment system installed within the housing 7 enables intelligent assessment and precise lifting of the patient's airway. The system first receives images of the patient's pharynx, mandible, incisors, and neck region from a high-definition measuring camera 6 via an image acquisition module. The data processing module then preprocesses the images, performing noise reduction and enhancement, and accurately identifies key anatomical parameters such as the Maddox classification, thyromental distance, mouth opening, neck mobility, and mandibular protrusion ability. The assessment and analysis module compares these parameters with preset airway assessment standards and a clinical database. Using multiple built-in classic airway assessment model algorithms, it automatically converts quantitative indicators into a visualized airway difficulty score, clearly determining the patient's low, medium, or high airway risk level and generating targeted airway management suggestions, such as indicating suitable intubation tools or assistive devices. Based on this, the control command generation module, combined with preset motion control logic, sends precise commands to the robotic arm 1 and robotic hand 2. Control commands drive the robotic arm 1 to automatically and individually lift and position the patient's head and neck. During this process, the pressure sensor embedded in the flexible silicone pad 9 on the contact surface of the robotic hand 2 monitors the contact pressure in real time and feeds the data back to the data processing module. If the pressure value exceeds the preset safety threshold, the control command generation module will immediately adjust the driving force of the robotic arm 1 to prevent pressure injury. At the same time, the high-definition screen 8 displays the real-time pressure value and pressure distribution heat map, allowing medical staff to intuitively grasp the operation status. In addition, the linear drive component 5 drives the high-definition measurement camera 6 to move in multiple dimensions inside the mask 4 to ensure the comprehensiveness and accuracy of image acquisition. The rechargeable lithium battery pack inside the shell provides stable power support for the entire device, ensuring the continuous and reliable operation of the device in critical scenarios such as clinical emergency care and anesthesia. This effectively improves the efficiency and safety of airway management, reduces operational risks, and provides patients with better medical care.

[0023] In this embodiment, the image acquisition module is connected to the high-definition measurement camera 6 to receive and transmit images of the patient's pharynx, mandible, incisors, and neck region captured by the camera. The data processing module preprocesses the images acquired by the high-definition measurement camera 6, including noise reduction, enhancement, and feature extraction, and identifies key parameters for measuring the pharynx, mandible, incisors, and neck structures, such as the Maddox grading, thyromental distance, mouth opening, neck mobility, and mandibular protrusion ability. The evaluation and analysis module, based on the key parameters extracted by the data processing module and combined with preset airway assessment standards and a clinical database, comprehensively determines the patient's airway difficulty level. This module incorporates multiple classic airway assessment model algorithms and can automatically convert Maddox grading, thyromental distance, and other parameters into a single data set. Quantitative indicators such as mouth opening and distance are converted into a visualized airway difficulty score and generate preliminary airway management suggestions, such as indicating the risk level of the patient's difficult airway and the possible applicable intubation tools or auxiliary means; the risk level is categorized as low risk, medium risk, and high risk; the control command generation module, based on the airway difficulty level and management suggestions output by the assessment and analysis module, combined with the preset motion control logic, sends precise control commands to robotic arm 1 and robotic hand 2 to drive robotic arm 1 to move robotic hand 2 to automatically and personally lift and position the patient's head and neck, ensuring that the patient's airway is in the best open state during assisted ventilation, and assisting medical staff in successfully establishing the airway.

[0024] The high-definition measurement camera 6 employs a high-resolution industrial-grade imaging chip and is equipped with an adjustable focal length lens. It can clearly capture details of pharyngeal soft tissue and bony landmarks within a working distance of 0-50cm. Its built-in supplementary lighting module provides an adjustable color temperature light source of 4000K-6500K, avoiding strong light stimulation to the patient's eyes while ensuring image consistency under different ambient light conditions. The data processing module is equipped with a high-performance embedded processor and integrates a deep learning framework. It performs real-time feature extraction on images through a pre-trained convolutional neural network model, achieving an accuracy rate of over 92% in recognizing Mahalanobis gradations. The measurement errors of parameters such as thyromental distance and mouth opening are controlled within ±2mm. The clinical database of the evaluation and analysis module contains data from over 100,000 real airway cases, covering patient information of different ages, genders, and disease types. It can dynamically call the most suitable assessment model based on the patient's specific parameters. For example, for obese patients, it will prioritize the use of a correction algorithm that includes neck circumference parameters. The airway management suggestions it generates not only include recommendations for tools such as conventional laryngoscopes and video laryngoscopes, but also suggest whether oropharyngeal airways or laryngeal masks need to be used in combination based on the assessment results of mandibular protrusion ability. The motion control logic built into the control command generation module integrates standardized operating procedures such as "olfactory positioning" and "head tilt-chin lift" in the field of anesthesiology. It decomposes the movement of the robotic arm into three dimensions: shoulder rotation, elbow flexion and extension, and wrist fine adjustment. The motion accuracy of each dimension can reach 0.5°. The contact pressure sensor of the robotic hand 2 can provide real-time feedback of pressure values. When the force on the patient's neck exceeds 30N, the protection mechanism is automatically triggered, the movement is paused and an audible and visual warning is issued to prevent cervical spine injury caused by excessive lifting.

[0025] like Figure 3 As shown, a flexible silicone pad 9 is provided on the contact surface of the robotic hand 2 in this embodiment. A pressure sensor is embedded inside the flexible silicone pad 9. The pressure sensor is electrically connected to the airway intelligent assessment system and is used to monitor the pressure value when the robotic hand 2 contacts the patient's head and neck in real time. The pressure data is fed back to the data processing module. When the pressure value exceeds the preset safety threshold, the control command generation module will automatically adjust the driving force of the robotic arm 1 to avoid causing pressure damage to the patient. At the same time, the real-time pressure value and pressure distribution heat map will be displayed on the high-definition screen 8.

[0026] The flexible silicone pad 9 features a micro-protrusion structure that mimics the texture of human skin. This structure not only effectively increases the friction between the robotic hand 2 and the patient's skin, preventing relative slippage during lifting and ensuring the stability of the head position, but also further enhances patient comfort by dispersing contact pressure. It is especially suitable for long-term assisted lifting scenarios. In addition, the pressure sensors adopt a distributed array layout, which is deployed in different areas of the flexible silicone pad 9. This allows for precise sensing of the pressure between different parts of the robotic hand and the patient, thereby generating a more detailed pressure distribution heat map. Medical staff can intuitively observe the pressure concentration points through the high-definition screen 8, so as to manually intervene and adjust the lifting posture when necessary, achieving personalized and safe airway assistance management.

[0027] like Figure 3 As shown, the linear drive 5 in this embodiment adopts a miniature electric push rod, whose drive end is fixedly connected to the high-definition measuring camera 6, which can drive the high-definition measuring camera 6 to move in multiple dimensions along the horizontal and vertical directions inside the mask 4.

[0028] Among them, the multi-dimensional mobile design enables the high-definition measurement camera 6 to flexibly adjust the shooting position and angle, ensuring that it can accurately target the patient's oral cavity, pharynx and other key airway areas. Whether the patient's head has individual differences due to physiological structure or the head position changes slightly during the lifting process, the miniature electric push rod can quickly respond and drive the camera to make adaptive adjustments, thereby obtaining clear and comprehensive images of the airway interior.

[0029] The housing 7 in this embodiment is also equipped with a rechargeable lithium battery pack to provide a stable DC power supply for the electrical components of the entire device. The housing 7 has a charging port on its side, which supports fast charging and has a low battery reminder function. When the battery level is below 20%, the high-definition screen 8 will display a battery warning icon.

[0030] The rechargeable lithium battery pack uses high-capacity cells and can work continuously for more than 8 hours after a single full charge, meeting the power needs of long-term surgery or emergency scenarios. The charging port is equipped with a dust cover to effectively prevent dust and liquid from entering and ensure charging safety. In addition to displaying a warning icon on the high-definition screen, the low battery reminder function is accompanied by a slight buzzing sound. This dual reminder method ensures that medical staff will not ignore the battery status while focusing on operation and avoid affecting the normal operation of the device due to sudden power outages.

[0031] Working principle: In use, medical staff first attach the mask 4 to the appropriate position on the robotic arm 1 using the magnetic block 3, ensuring that the high-definition measuring camera 6 covers the patient's pharynx, mandible, incisors, and neck area. After activating the device, the image acquisition module of the airway intelligent assessment system controls the high-definition measuring camera 6 to start working. The linear drive component 5 moves the camera in multiple dimensions inside the mask 4 to acquire high-definition images from different angles and positions. These image data are transmitted to the data processing module in real time for noise reduction and enhancement preprocessing. A deep learning model then accurately identifies key parameters such as the Martingale gradation, thyromental distance, mouth opening, neck mobility, and mandibular protrusion ability. The assessment and analysis module compares these parameters with preset standards and a clinical database (containing over 100,000 cases), and calls the matching assessment model (such as needle prick). For obese patients, a correction algorithm incorporating neck circumference parameters is employed to automatically generate a visual airway difficulty score (low, medium, high risk) and management recommendations (such as video laryngoscopy or combined use of a laryngeal mask airway). Based on the assessment results and preset standardized action logic such as "olfactory position," the control command generation module sends commands to the robotic arm 1 and robotic hand 2, driving them to perform three-dimensional automated lifting and positioning of the patient's head and neck (shoulder rotation, elbow flexion, wrist adjustment, accuracy 0.5°). The distributed pressure sensor array embedded in the flexible silicone pad 9 of the robotic hand 2 (with a micro-convex structure mimicking skin texture) monitors the contact pressure in real time, and the data is fed back to the data processing module. If the pressure exceeds the 30N safety threshold, the control module immediately adjusts the driving force and triggers an audible and visual prompt. Simultaneously, the high-definition screen 8 displays the pressure value and distribution heat map.

[0032] Example 2: This embodiment provides a robotic arm-assisted lifting device with an intelligent airway assessment system, comprising: two robotic arms 1, a mask 4, and a housing 7, wherein each of the two robotic arms 1 is provided with a robotic hand 2 at its end.

[0033] When double-handed lifting is required, a more stable operation can be achieved through the coordinated operation of two robotic arms 1. The two robotic palms 2 can act on the sides of the patient's head or the head and neck area respectively. Through the unified coordination and control of the airway intelligent assessment system, synchronous or differentiated lifting force and angle adjustments can be achieved. For example, when dealing with patients with cervical instability, one robotic palm 2 can fix the patient's occiput, while the other robotic palm 2 lifts the chin. Both operate slowly and smoothly according to the preset coordinated action logic, avoiding excessive force on one side that could cause secondary damage to the cervical spine. At the same time, the pressure sensors on both robotic palms 2 will provide real-time pressure data. The data processing module will comprehensively analyze the pressure distribution on both sides to ensure the balance and safety of the overall lifting force. The high-definition screen 8 will also display the pressure values ​​of the two robotic palms and their respective pressure distribution heat maps simultaneously, facilitating comprehensive monitoring by medical staff. In addition, the movement of the two robotic arms 1 also follows the three-dimensional drive mode of shoulder rotation, elbow flexion and extension, and wrist fine adjustment, with a movement accuracy maintained at 0.5°, ensuring the precision and coordination of double-handed lifting operations and further improving the auxiliary lifting effect in complex airway situations.

[0034] To address the needs of maskless scenarios such as painless gastroscopy and colonoscopy, this device features an adaptive optimization design based on Embodiment 1. When a mask is not required, the high-definition measurement camera 6 can be integrated into the front or side of the robotic hand 2. Through multi-angle deployment, it can accurately measure parameters such as mouth opening, thyromental distance, and neck extension. For example, miniature high-definition cameras are embedded in the thumb and index finger pads of the robotic hand 2. Utilizing the principle of dual-camera stereo vision, combined with the three-dimensional reconstruction algorithm in the data processing module, the distance between the upper and lower incisors when the patient opens their mouth (mouth opening) and the straight-line distance from the thyroid cartilage notch to the tip of the mandible (thyromental distance) can be quickly calculated. At the same time, a wide-angle camera is added at the wrist joint of the robotic arm 1 to capture images of the patient's neck from the side. By observing the changes in the physiological curvature of the cervical spine and the relative position of the mandible and sternal manubrium in the images, the range of motion and extension angle of the neck can be quantitatively assessed. The collaborative work of multiple cameras ensures that key anatomical data required for airway assessment can still be comprehensively collected even without mask obstruction, meeting the application needs of different clinical scenarios.

[0035] This invention is not limited to the embodiments described above. Anyone should understand that structural changes made under the guidance of this invention, and any technical solutions that are the same as or similar to this invention, fall within the protection scope of this invention. Technical aspects, shapes, and structures not described in detail in this invention are all publicly known technologies.

Claims

1. A robotic arm-assisted lifting device with an intelligent airway assessment system, characterized in that, include: A robotic arm (1), wherein a robotic hand (2) is provided at the end of the robotic arm (1); A mask (4) is attached to the bottom of the mask (4) and a magnetic block (3) is attached to the robotic arm (1). A linear drive (5) is provided on the inside of the mask (4) and a high-definition measuring camera (6) is provided on the linear drive (5). The housing (7) is equipped with an airway intelligent assessment system that is connected to the high-definition measurement camera (6), the robotic arm (1) and the robotic hand (2). The housing (7) is equipped with a high-definition screen (8) that is connected to the airway intelligent assessment system. The intelligent airway assessment system includes an image acquisition module, a data processing module, an assessment and analysis module, and a control command generation module.

2. The robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 1, characterized in that, The image acquisition module is connected to the high-definition measurement camera (6) and is used to receive and transmit images of the patient's pharynx, mandible, incisors, and neck region captured by the camera.

3. The robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 2, characterized in that, The data processing module preprocesses the images acquired by the high-definition measurement camera (6), including noise reduction, enhancement and feature extraction, and identifies key parameters of the pharynx, mandible, incisors and neck structure, such as Martin's grade, thyromental distance, mouth opening, neck mobility and mandibular protrusion ability.

4. The robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 3, characterized in that, The assessment and analysis module, based on key parameters extracted by the data processing module and combined with preset airway assessment standards and clinical databases, comprehensively determines the airway difficulty level of patients. This module incorporates multiple classic airway assessment model algorithms, which can automatically convert quantitative indicators such as Maslow's classification, hemangiomental distance, and mouth opening into a visualized airway difficulty score, and generate preliminary airway management suggestions, such as indicating the risk level of the patient's difficult airway and the possible intubation tools or auxiliary means.

5. A robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 4, characterized in that, The risk levels are categorized as low risk, medium risk, and high risk.

6. A robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 4, characterized in that, The control command generation module sends precise control commands to the robotic arm (1) and the robotic hand (2) based on the airway difficulty level and management suggestions output by the evaluation and analysis module, combined with the preset motion control logic. This drives the robotic arm (1) to move the robotic hand (2) to automatically and personally lift and position the patient's head and neck, ensuring that the patient's airway is in the best open state during assisted ventilation, and assisting medical staff in successfully establishing the airway.

7. A robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 1, characterized in that, A flexible silicone pad (9) is provided on the contact surface of the mechanical hand (2), and a pressure sensor is embedded inside the flexible silicone pad (9).

8. A robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 7, characterized in that, The pressure sensor is electrically connected to the airway intelligent assessment system and is used to monitor the pressure value when the robotic hand (2) contacts the patient's head and neck in real time, and feed the pressure data back to the data processing module. When the pressure value exceeds the preset safety threshold, the command generation module will automatically adjust the driving force of the robotic arm (1) to avoid causing pressure damage to the patient. At the same time, the high-definition screen (8) will display the real-time pressure value and pressure distribution heat map.

9. A robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 1, characterized in that, The linear drive (5) is a miniature electric push rod, whose drive end is fixedly connected to the high-definition measuring camera (6), and can drive the high-definition measuring camera (6) to move in multiple dimensions along the horizontal and vertical directions inside the mask (4).

10. A robotic arm-assisted lifting device with an intelligent airway assessment system according to claim 1, characterized in that, The housing (7) is also equipped with a rechargeable lithium battery pack, which provides a stable DC power supply for the electrical components of the entire device. The housing (7) has a charging interface on its side, which supports fast charging and has a low battery reminder function. When the battery level is below 20%, the high-definition screen (8) will display a battery warning icon.

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