An adaptive adjustable nursing method, device, apparatus and medium

Abstract

The application provides an adaptive adjustable nursing method, device, equipment and medium. The method comprises the following steps: acquiring a cleft position of a target object and determining a target partition; obtaining cleft information according to the target partition; collecting cervical vertebra information and spine information of the target object; calculating a current posture angle of the target object; controlling a fixed head frame to be adjusted to the current posture angle, and fixing the head of the target object wearing a posture monitor on the fixed head frame; acquiring real-time data monitored by the posture monitor in real time and calculating a real-time posture angle of the head of the target object; judging whether the real-time posture angle changes; if the real-time posture angle changes, calculating an adjustment value of the current posture angle according to the changed real-time posture angle; judging whether the adjustment value is within a preset range; if the adjustment value is within the preset range, dynamically adjusting the current posture angle according to the adjustment value, so as to realize self-adaptation between the fixed head frame and the target object. The scheme can realize individualized posture setting, real-time monitoring and dynamic adjustment.

Description

Technical Field

[0001] This application relates to the field of medical and nursing technology, and in particular to an adaptive and adjustable nursing method, device, equipment and medium. Background Technology

[0002] Retinal detachment is a common blinding eye disease with a rapid onset and progression. Without timely intervention, it can lead to irreversible damage to photoreceptor cells, severely threatening the patient's visual function. Currently, surgical repair is the core treatment for retinal detachment. The head posture corresponding to the location of the retinal tear after surgery is a key factor determining the effectiveness of retinal reattachment and the quality of tear healing. Only through precise and stable head posture control can the intraocular filling material (such as silicone oil or gas) continuously exert effective pressure on the tear area, promoting close adhesion between the retinal neuroepithelium and pigment epithelium, and reducing the risk of reattachment failure, tear recurrence, and poor visual recovery. Therefore, postoperative head fixation frames are indispensable clinical auxiliary devices, and their rational design and effectiveness directly affect the patient's treatment outcome.

[0003] However, existing postoperative head frames used in clinical practice still have significant technical shortcomings and are difficult to meet the clinical needs of precise rehabilitation:

[0004] First, the initial posture parameters lack personalized adaptation. Existing head frames often only roughly define posture parameters based on the anatomical location of the retinal tear (such as the macula, peripheral retina, nasal / temporal side, etc.), using standardized angles and fixation patterns without fully considering the individual differences in patients' physical characteristics. Different patients have significantly different physiological conditions. Standardized initial posture settings often lead to discomfort such as neck pain, muscle stiffness, and difficulty breathing in some patients, resulting in extremely poor tolerance and difficulty in maintaining the required fixed posture for a long period. Simultaneously, due to individual anatomical differences, even when following standardized postures, some patients may experience insufficient pressure or force displacement in the tear area, leading to a posture that does not meet clinical treatment requirements and directly affecting retinal reattachment efficiency.

[0005] Secondly, there is a lack of real-time posture monitoring and dynamic adjustment mechanisms. After retinal detachment repair surgery, patients need to maintain a specific head posture for several days to weeks. During this period, factors such as fatigue, unconscious movement, and changes in body position during sleep can easily cause the posture to deviate from the preset standard. However, existing head frames do not integrate a real-time posture detection module, making it impossible to accurately capture and provide feedback on changes in the angle and position of the patient's head. Medical staff can only understand the posture through periodic inspections or subjective feedback from patients, resulting in a significant monitoring lag. When the patient's posture deviates, it cannot be detected and corrected in time, which may lead to a prolonged lack of effective pressure on the retinal tear area, resulting in delayed tear healing, poor repositioning, and even increasing the risk of secondary surgery. This not only increases the patient's physical and mental suffering and economic burden but also reduces the overall success rate of clinical treatment.

[0006] In summary, the shortcomings of existing postoperative fixation head frames in terms of personalized adaptation and real-time dynamic adjustment have become a key bottleneck restricting the rehabilitation effect after retinal detachment surgery, making it difficult to meet the clinical demand for precise and humanized rehabilitation assistive devices. Therefore, developing a head fixation device that can achieve personalized posture setting, real-time monitoring, and dynamic adjustment has important clinical value and practical significance for improving the success rate of retinal detachment repair surgery and improving patient prognosis. Summary of the Invention

[0007] This application aims to overcome the technical shortcomings of existing fixation head frames after retinal detachment repair surgery, which lack personalized adaptation and real-time posture monitoring and dynamic adjustment mechanisms. It provides an adaptive and adjustable nursing method, device, equipment and medium that combines individual patient characteristics, monitors posture in real time, dynamically adjusts parameters, and takes into account safety and comfort, thereby improving the success rate of retinal reattachment and the patient's rehabilitation experience.

[0008] To solve the above-mentioned technical problems, this application provides the following technical solution:

[0009] According to a first aspect of the embodiments of this application, an adaptive adjustable nursing method is provided, comprising:

[0010] Obtain the location of the crack in the target object and determine the target partition corresponding to the location of the crack;

[0011] The crack location is parameterized according to the target partition to obtain crack information;

[0012] Collect cervical spine and spinal information of the target object;

[0013] Based on the slit information, the cervical vertebrae information, and the spinal column information, the current posture angle of the target object is calculated; the current posture angle includes the current pitch angle and the current roll angle.

[0014] The fixed headgear is adjusted to the current attitude angle, so that the head of the target object wearing an attitude monitor is fixed on the fixed headgear;

[0015] The real-time data monitored by the attitude monitor is acquired in real time, and the real-time attitude angle of the head of the target object is calculated based on the real-time data.

[0016] Determine whether the real-time attitude angle has changed;

[0017] When the real-time attitude angle changes, the adjustment value of the current attitude angle is calculated based on the changed real-time attitude angle;

[0018] Determine whether the adjustment value is within a preset range;

[0019] If the adjustment value is within the preset range, the current attitude angle is dynamically adjusted according to the adjustment value to achieve self-adaptation between the fixed head frame and the target object.

[0020] In one exemplary implementation, obtaining the location of the crack in the target object and determining the target partition corresponding to the location of the crack specifically includes:

[0021] Acquire fundus images and OCT tomographic images of the target object;

[0022] The fundus images were analyzed to locate the center of the retinal tear;

[0023] The radial depth of the center of the pore is determined based on the OCT tomographic image.

[0024] The location of the crack is determined based on the center of the crack and the radial depth, wherein the location of the crack includes the coordinates of the center of the crack;

[0025] The zoning criteria are determined based on the basic information of the target object; the zoning criteria include ETDRS zoning and ROP zoning; the ROP zoning is applicable to premature infants or low birth weight infants whose basic information indicates that they meet specific criteria, and the ETDRS zoning is applicable to the target object whose basic information indicates that it does not meet the ROP zoning criteria;

[0026] The retina of the target object is divided into anatomical regions according to the zoning criteria, and the coordinate boundaries of each anatomical region are defined.

[0027] The target partition is determined by matching the coordinates of the fracture center with the anatomical partition.

[0028] In one exemplary implementation, the step of parameterizing the crack location according to the target partition to obtain crack information specifically includes:

[0029] Based on the coordinate codes assigned to each of the anatomical partitions, the target coordinate codes corresponding to the target partitions are determined; the coordinate codes include horizontal direction codes, vertical direction codes, and radial depth codes.

[0030] The crack location is parameterized based on the target coordinate encoding to obtain the crack information.

[0031] In one exemplary implementation, calculating the current posture angle of the target object based on the laceration information, the cervical vertebrae information, and the spinal column information specifically includes:

[0032] Based on the target radial depth code and target vertical direction code in the hole information, a reference pitch angle is determined; and based on the target horizontal direction code in the hole information, a reference roll angle is determined.

[0033] Based on the cervical spine information, calculate the pitch angle correction value; and based on the spinal information, calculate the lateral tilt angle correction value.

[0034] The current pitch angle is calculated based on the reference pitch angle and the pitch angle correction value; and the current roll angle is calculated based on the reference roll angle and the roll angle correction value.

[0035] In one exemplary implementation, the step of acquiring real-time data monitored by the attitude monitor and calculating the real-time attitude angle of the target object's head based on the real-time data specifically includes:

[0036] The gravity projection angle, rotation angle, and geomagnetic field heading angle monitored by the attitude monitor are acquired in real time.

[0037] The real-time attitude angle is obtained by fusing the gravity projection angle, the rotation angle, and the geomagnetic field heading angle using a complementary filtering algorithm.

[0038] In one exemplary implementation, calculating the adjustment value of the current attitude angle based on the changed real-time attitude angle specifically includes:

[0039] Based on the changed real-time attitude angle, the adjustment value of the current attitude angle is calculated using a PID control algorithm.

[0040] In one exemplary embodiment, the method further includes:

[0041] Based on the target object's physiological information, determine the target object's daily recommended fixed duration, recommended number of activities, and recommended duration of each activity; the physiological information includes age, physiological habits, and tolerance.

[0042] According to a second aspect of the embodiments of this application, an adaptive adjustable nursing device is provided, implemented using any of the adaptive adjustable nursing methods described above, the device comprising:

[0043] The information acquisition module is used to acquire the location of the crack in the target object and determine the target partition corresponding to the location of the crack;

[0044] The parameterization module is used to parameterize the crack location according to the target partition to obtain crack information;

[0045] The information acquisition module is used to collect cervical spine information and spinal information of the target object;

[0046] The first calculation module is used to calculate the current attitude angle of the target object based on the slit information, the cervical vertebra information, and the spinal information; the current attitude angle includes the current pitch angle and the current roll angle;

[0047] The first adjustment module is used to control the fixed head frame to adjust to the current attitude angle, and to fix the head of the target object with the attitude monitor on its head to the fixed head frame;

[0048] The real-time acquisition module is used to acquire real-time data monitored by the attitude monitor and calculate the real-time attitude angle of the head of the target object based on the real-time data.

[0049] The first judgment module is used to determine whether the real-time attitude angle has changed;

[0050] The second calculation module is used to calculate the adjustment value of the current attitude angle based on the changed real-time attitude angle when the real-time attitude angle changes.

[0051] The second judgment module is used to determine whether the adjustment value is within a preset range;

[0052] The second adjustment module is used to dynamically adjust the current attitude angle according to the adjustment value if the adjustment value is within the preset range, so as to achieve self-adaptation between the fixed head frame and the target object.

[0053] According to a third aspect of the present application, an electronic device is provided, including a processor and a memory, wherein the memory stores at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by the processor to implement any of the above-described adaptive adjustable care methods.

[0054] According to a fourth aspect of the embodiments of this application, a computer-readable storage medium is provided, the storage medium storing at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by a processor to implement an adaptive adjustable care method as described above.

[0055] By adopting the above technical solution, this application has the following beneficial effects:

[0056] (1) This application first accurately locates the anatomical position of the retinal tear, and then combines the patient's individual characteristics such as cervical curvature, spinal morphology, age and physical condition to customize exclusive treatment parameters through quantitative algorithms. This not only conforms to the patient's physiological structure to improve posture adaptability, but also reduces muscle soreness and fatigue caused by fixed posture, significantly enhancing the patient's tolerance to long-term treatment. It is especially suitable for special populations with low tolerance, such as the elderly and those with weak spinal function, and ultimately achieves the core effect of strong personalized adaptability.

[0057] (2) This application relies on real-time fusion technology of multi-sensor data, combined with PID dynamic adjustment algorithm, to capture changes in head posture in milliseconds and accurately correct deviations, ensuring that the head posture remains stable within the preset range throughout the treatment. This design can avoid laser positioning deviation caused by body position fluctuations, directly ensuring the accuracy of retinal repositioning and treatment effectiveness, and reducing the risk of secondary treatment; at the same time, the preset range of head posture can be customized based on individual patient characteristics, further ensuring the adaptability of posture adjustment to individual physiology, and achieving the technical advantage of precise posture control.

[0058] (3) This application can monitor the pressure distribution at the facial contact point and the dynamic changes in the patient's intraocular pressure in real time. Once the monitored value exceeds the safety threshold, it will automatically adjust the support strength or trigger an early warning. This mechanism can effectively avoid local tissue compression damage and reduce adverse conditions such as sudden increase in intraocular pressure and facial pressure sores. At the same time, by optimizing the breathability and fit of the support structure, it can reduce the risk of postoperative infection, eye discomfort and other complications, further optimize the comfort during the treatment process, and achieve a safe and comfortable application effect.

[0059] (4) This application simplifies the clinical parameter setting process through quantitative calculation logic, allowing medical staff to quickly and proficiently operate without complicated debugging, effectively shortening the clinical diagnosis and treatment time. The product has built-in intelligent reminder functions such as treatment duration control and timed position adjustment, which help patients to follow the treatment plan in a standardized manner and significantly improve treatment compliance; and it can adapt to different tear sizes, locations and patient physical differences, making it suitable for both short-term outpatient treatment and long-term inpatient rehabilitation needs, greatly reducing the threshold for clinical application and highlighting its core value of strong clinical practicality. Attached Figure Description

[0060] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0061] Figure 1 A flowchart illustrating an adaptive and adjustable nursing method provided in this application embodiment;

[0062] Figure 2 A structural block diagram of an adaptive adjustable nursing device provided in an embodiment of this application;

[0063] Figure 3 This is a hardware structure block diagram of an electronic device that operates an adaptive and adjustable nursing method, as provided in an embodiment of this application. Detailed Implementation

[0064] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0065] The term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of this application. In the description of the embodiments of this application, it should be understood that the terms "upper," "lower," "top," "bottom," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first" and "second" may explicitly or implicitly include one or more of that feature. Moreover, the terms "first," "second," etc., are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein.

[0066] Please see Figure 1The diagram shown is a flowchart illustrating an adaptive and adjustable nursing method provided in an embodiment of this application. The adaptive and adjustable nursing method includes:

[0067] Step S1: Obtain the location of the crack in the target object and determine the target partition corresponding to the location of the crack;

[0068] Step S2: Parameterize the crack location according to the target partition to obtain crack information;

[0069] Step S3: Collect cervical spine and spinal information of the target subject;

[0070] Step S4: Based on the hole information, cervical vertebra information, and spinal information, calculate the current attitude angle of the target object; the current attitude angle includes the current pitch angle and the current roll angle;

[0071] Step S5: Control the fixed head frame to adjust to the current attitude angle, and fix the head of the target object wearing the attitude monitor on the fixed head frame;

[0072] Step S6: Acquire real-time data monitored by the attitude monitor and calculate the real-time attitude angle of the target object's head based on the real-time data;

[0073] Step S7: Determine if the real-time attitude angle has changed;

[0074] Step S8: When the real-time attitude angle changes, calculate the adjustment value of the current attitude angle based on the changed real-time attitude angle;

[0075] Step S9: Determine whether the adjustment value is within the preset range;

[0076] Step S10: If the adjustment value is within the preset range, the current attitude angle is dynamically adjusted according to the adjustment value to achieve self-adaptation between the fixed head frame and the target object.

[0077] In an optional embodiment, step S1 above may specifically include:

[0078] Acquire fundus images and OCT tomographic images of the target object;

[0079] Analyze fundus images to locate the center of the retinal tear;

[0080] Determine the radial depth of the fracture center based on OCT tomographic images;

[0081] The location of the crack is determined based on its center and radial depth, including the coordinates of the crack center.

[0082] The zoning criteria are determined based on the basic information of the target; the zoning criteria include ETDRS zoning and ROP zoning; ROP zoning is applicable to premature infants or low birth weight infants whose basic information indicates that they meet the specific criteria, while ETDRS zoning is applicable to target subjects whose basic information indicates that they do not meet the ROP zoning criteria.

[0083] The retina of the target object is divided into zones according to the zoning criteria, and the coordinate boundaries of each anatomical zone are clearly defined;

[0084] Match the coordinates of the fracture center with the anatomical partitions to determine the target partition.

[0085] Specifically, the acquisition of fundus images and OCT tomographic images of the target object may include:

[0086] Fundus images are acquired using a fundus camera, ensuring the imaging range covers the entire retina, including the peripheral retina. Image analysis software is then used to analyze the fundus images to determine if they clearly show retinal vascular branches, the fovea, and the optic nerve head, without obstruction from refractive media (lens opacity, vitreous hemorrhage), and without significant reflective interference in the tear area. If the images meet the criteria, further processing is performed; otherwise, the images are re-acquired.

[0087] OCT tomographic images are acquired using a spectral OCT device, ensuring that the various retinal structures (nerve fiber layer, outer nuclear layer, pigment epithelium layer, etc.) are continuous and distinguishable, without motion artifacts or streak artifacts. If the standard is met, the next step of processing is performed; if the standard is not met, the images are re-acquired.

[0088] The above analysis of fundus images to locate the center of the eye tear can include:

[0089] Preprocessing of fundus images, such as grayscale correction, noise reduction (Gaussian filtering, median filtering), and contrast enhancement (histogram equalization), is performed to reduce the impact of background noise and uneven illumination on the analysis, resulting in preprocessed fundus images.

[0090] The preprocessed fundus images were analyzed using traditional image processing methods or deep learning methods to preliminarily locate the center of the retinal tear.

[0091] The center of the crack after initial location is manually checked to eliminate false positives. If the location error exceeds the preset error value, the algorithm parameters need to be readjusted or manually corrected.

[0092] Traditional image processing methods separate retinal lesion areas from normal tissues through threshold segmentation (based on gray value differences), and combine edge detection algorithms (Canny operator, Sobel operator) to extract the tear contour, and calculate the geometric center of the contour as the tear center;

[0093] Deep learning methods employ pre-trained retinal lesion detection models (such as semantic segmentation models based on U-Net and object detection models based on YOLO) to perform pixel-level segmentation of fundus images and directly output the bounding boxes and center coordinates of the retinal lesion regions.

[0094] The determination of the radial depth of the fracture center based on the above-mentioned OCT tomographic images may include:

[0095] Using the OCT automatic layering algorithm, the boundary lines of key anatomical layers such as the internal limiting membrane of the retina, nerve fiber layer, outer nuclear layer, and pigment epithelium layer are identified; if the layer structure in the tear area is broken, the upper and lower boundaries of the break need to be manually marked.

[0096] Using the projection point of the tear center on the OCT scan line as a reference, perpendicular to the retinal surface, measure the straight-line distance from the surface of the internal limiting membrane to the bottom boundary of the tear; the same tear needs to be measured on three OCT scan lines in three different directions (horizontal, longitudinal, and oblique), and the average value is taken as the final radial depth to reduce measurement error;

[0097] If the retinal tear is accompanied by retinal detachment, the radial depth needs to be distinguished between "tear depth itself" (the distance from the internal limiting membrane to the edge of the tear) and "detachment height" (the distance from the internal limiting membrane to the surface of the detached retina), and recorded separately.

[0098] The above method determines the location of a crack based on its center and radial depth. The crack location includes the coordinates of the crack center and may include:

[0099] A two-dimensional rectangular coordinate system with the fovea of ​​the macula as the origin is established, with the horizontal axis (X-axis) parallel to the horizontal meridian (negative on the nasal side and positive on the temporal side) and the vertical axis (Y-axis) parallel to the vertical meridian (positive on the top and negative on the bottom), and the coordinate unit is millimeters (mm).

[0100] The pixel coordinates of the hole center in the fundus image are converted into physical coordinates (mm) by using the ratio of camera focal length, actual fundus size and image pixels; the relative coordinates (X, Y) of the hole center are calculated based on the pixel coordinates of the fovea of ​​the macula; thus, the hole center coordinates are calibrated.

[0101] In addition to the center coordinates, it is also necessary to record the shape of the tear (circular, elliptical, irregular), the maximum diameter (mm), the minimum diameter (mm), and the smoothness (smooth / rough) of the tear edge, and supplement the tear location parameters to provide comprehensive information for clinical assessment.

[0102] In determining the partitioning criteria based on the basic information of the target object, the specific content may include:

[0103] The basic information to be collected includes the target subject's age, gestational age at birth, birth weight, whether the infant is premature (gestational age <37 weeks), whether the infant is low birth weight (birth weight <2500g), and whether there are any high-risk factors for ROP (retinopathy of prematurity) (such as history of oxygen therapy, multiple pregnancies, or history of severe infection).

[0104] The specific rules for formulating the partitioning standard are as follows: determine the partitioning situation in the X and Y directions based on ETDRS partitioning or ROP partitioning, and determine the partitioning situation in the Z direction based on empirical values ​​or historical data statistical analysis; the total number of partitions can be determined based on empirical values ​​or historical data statistical analysis.

[0105] ROP partitioning is applicable to target objects that simultaneously meet any of the following high-risk conditions:

[0106] (1) The gestational age at birth is <32 weeks and the birth weight is <1500g;

[0107] (2) Born at 32-36 weeks of gestation, but with high risk factors for ROP (such as prolonged oxygen inhalation, severe respiratory distress syndrome).

[0108] (3) Premature infants who have been diagnosed with or suspected of having ROP, regardless of gestational age and weight.

[0109] ROP partitions are centered on the optic nerve head and divided according to the distribution of retinal vessels, with special markings.

[0110] The specific division includes:

[0111] Zone I: A circular area with a radius of 60° centered on the optic disc, covering the posterior pole of the retina (including the macula and optic disc).

[0112] Zone II: The ring-shaped area outside Zone I, extending from the center of the optic disc to the nasal serratus margin and the temporal equatorial region;

[0113] Zone III: The peripheral retina outside of Zone II, extending from the temporal equator to the ora serrata.

[0114] Special markings include: additional markings for "clock position", with the retina divided into 12 clock positions centered on the optic nerve head, clearly indicating the clock position of the tear.

[0115] ETDRS zoning application conditions: All target subjects that do not meet the above ROP zoning application conditions shall be subject to ETDRS zoning, including adults, ordinary children, full-term infants with gestational age ≥37 weeks, and preterm infants without ROP high-risk factors (gestational age ≥32 weeks and weight ≥1500g).

[0116] ETDRS partitions are centered on the fovea of ​​the macula, divided into concentric circles and quadrants, and the boundaries are calibrated.

[0117] The concentric circles specifically include the fovea of ​​the macula, the central ring, the inner ring, and the outer ring.

[0118] The quadrant division specifically includes: each ring-shaped region is divided into 4 quadrants according to the horizontal / vertical meridians, namely the nasal side, temporal side, superior side, and inferior side, and the coordinate boundaries of each quadrant are clearly defined.

[0119] Boundary calibration specifically includes: using the line connecting the center of the optic nerve head (ONH) and the fovea of ​​the macula as a reference, adjusting the symmetry of the quadrant division to ensure that the coordinate boundaries are consistent with the anatomical structure of the retina.

[0120] Zoning standard confirmation process: First, screen for high-risk factors of ROP through basic information to clarify the zoning type; if the basic information is incomplete (such as missing gestational age at birth), supplementary data needs to be collected before confirmation to avoid zoning errors.

[0121] The above method matches the coordinates of the fracture center with the anatomical regions to determine the target region. The matching rules may specifically include:

[0122] Single-zone matching: Substitute the center coordinates (X,Y,Z) of the crack into the coordinate boundary inequality of the corresponding zone standard. If the boundary conditions of a certain zone are satisfied, then it is directly determined as the target zone.

[0123] Cross-zone determination: If the center of the crack is located on the boundary between two zones, it is determined according to the "zone where the main body of the crack is located"; if it still cannot be distinguished, it is manually reviewed.

[0124] In an optional embodiment, step S2 above may specifically include:

[0125] Based on the coordinate code assigned to each anatomical region, the target coordinate code corresponding to the target region is determined; the coordinate code includes horizontal direction code, vertical direction code, and radial depth code;

[0126] The crack location is parameterized based on the target coordinate encoding to obtain crack information.

[0127] In an optional embodiment, the cervical spine information in step S3 above may include extracting the cervical spine physiological curvature angle α from a lateral cervical spine X-ray, and the spinal information may include extracting the spinal scoliosis angle β from an anteroposterior spinal radiograph.

[0128] In an optional embodiment, step S4 above may specifically include:

[0129] Based on the target radial depth code and target vertical direction code in the hole information, the reference pitch angle is determined; and based on the target horizontal direction code in the hole information, the reference roll angle is determined.

[0130] Based on cervical spine information, calculate the pitch angle correction value; and based on spinal information, calculate the lateral tilt angle correction value.

[0131] Calculate the current pitch angle based on the reference pitch angle and pitch angle correction value; and calculate the current roll angle based on the reference roll angle and roll angle correction value.

[0132] Specifically, the coordinate encoding (X, Y, Z) is set as follows: X∈[0,32] corresponds to the horizontal direction (nasal side → temporal side), Y∈[0,27.5] corresponds to the vertical direction (above → below), and Z∈[0,20] corresponds to the radial depth (periphery → macular area).

[0133] The current pitch angle θ = θ0 + Δθ, and the current roll angle φ = φ0 + Δφ. In the initial settings, the current pitch angle is the optimal pitch angle, and the current roll angle is the optimal roll angle.

[0134] Where θ0 is the reference roll angle, Δθ is the pitch angle correction value, φ0 is the reference roll angle, and Δφ is the roll angle correction value;

[0135] θ0 is adjusted based on the Y and Z values ​​of the coordinate encoding; Δθ is corrected based on the cervical curvature; optionally, Δθ = 0.3 × (α - 30°);

[0136] φ0 is adjusted according to the X value of the coordinate code;

[0137] Δφ is corrected based on scoliosis; optionally, Δφ = 0.5 × β.

[0138] In an optional embodiment, in step S5 above, when the head of the target object wearing an attitude monitor is fixed to the fixed head frame and the fixation meets the standard, the real-time data of its attitude monitor is recorded; whether the fixation meets the standard can be determined based on the real-time data and the current attitude angle.

[0139] Specifically, the attitude monitor adopts an integrated design, which integrates an accelerometer, gyroscope and magnetometer to collect head attitude data.

[0140] In an optional embodiment, step S6 above may specifically include:

[0141] Real-time acquisition of gravity projection angle, rotation angle, and geomagnetic field heading angle monitored by the attitude monitor;

[0142] A complementary filtering algorithm is used to fuse the gravity projection angle, rotation angle, and geomagnetic field heading angle to obtain the real-time attitude angle.

[0143] Specifically, the gravity projection angle is collected by an accelerometer, the rotation angle is collected by a gyroscope, and the geomagnetic field heading angle is collected by a magnetometer.

[0144] The formula for calculating the real-time attitude angle is:

[0145] θ real =λ1×θ acc +(1-λ1)×(θ gyro +θ mag ) / 2;

[0146] Where θ real For real-time pitch angle, θ acc For pitch angle data collected by accelerometers, θ gyro The pitch angle data collected by the gyroscope, θ mag The pitch angle data collected by the magnetometer, λ1 is a weighting coefficient, which can be selected. λ1=0.7 for static conditions and λ1=0.3 for dynamic conditions;

[0147] φ real =λ2×φ acc +(1-λ2)×(φ gyro +φ mag ) / 2;

[0148] Where φ real For real-time roll angle, φ acc For the roll angle data collected by the accelerometer, φ gyro The tilt angle data collected by the gyroscope, φ mag The tilt angle data is collected by the magnetometer. λ2 is a weighting coefficient, which is optional. λ2=0.7 for static conditions and λ2=0.3 for dynamic conditions.

[0149] In an optional embodiment, step S7 may specifically include:

[0150] The real-time attitude angles collected at the previous moment are compared with those collected at the current moment to determine whether the real-time attitude angles have changed.

[0151] In an optional embodiment, step S8 may further include:

[0152] If the real-time attitude angle does not change, return to step S6.

[0153] Specifically, when the real-time attitude angle changes, the adjustment value of the current attitude angle is calculated based on the changed real-time attitude angle. This can include:

[0154] Based on the changed real-time attitude angle, the adjustment value of the current attitude angle is calculated using a PID control algorithm.

[0155] The specific calculation formula is as follows:

[0156] Δθ adjust =Kp1 ×(θ target -θ real )+K i1 ×∫(θ target -θ real )dt+K d1 ×d(θ target -θ real ) / dt;

[0157] Where Δθ adjust For pitch angle adjustment, θ target For the optimal pitch angle, K p1 K is the proportionality coefficient. i1 K is the integral coefficient. d1 K is the differential coefficient; optional, K p1 =0.8, K i1 =0.2, K d1 =0.1;

[0158] Δφ adjust =K p1 ×(φ target -φ real )+K i1 ×∫(φ target -φ real )dt+K d1 ×d(φ target -φ real ) / dt;

[0159] Where Δφ adjust This is the roll angle adjustment value, φ target For the optimal roll angle, K p1 K is the proportionality coefficient. i1 K is the integral coefficient. d1 K is the differential coefficient; optional, K p1 =0.8, K i1 =0.2, K d1 =0.1.

[0160] In an optional embodiment, the preset range in step S9 above can be customized according to the individual circumstances of the target object.

[0161] Specifically, the pitch angle deviation threshold Δθth = 2° + 0.1 × |α - 30°|, and the roll angle deviation threshold Δφth = 2° + 0.1 × |β|; the threshold range is not less than 2° and not greater than 5°.

[0162] In an optional embodiment, step S10 may further include:

[0163] If the adjustment value is not within the preset range, a fixed headframe warning will be issued.

[0164] In an optional embodiment, the above method may further include:

[0165] Based on the target subject's physiological information, determine the recommended daily fixed duration, recommended number of activities, and recommended duration of each activity; the physiological information includes age, physiological habits, and tolerance.

[0166] Specifically, the calculation method for the fixed daily duration is as follows:

[0167] T = T0 × K1 × K2 / D;

[0168] Where T is the fixed duration of each day, and T0 is the fixed duration of the crack reference (T0 = 72h when Z = 0, T0 = 168h when Z = 5; for every 1mm increase in crack area S... 2 T0 increases by 2 hours); K1 is the age coefficient (≤40 years old K1=0.9, 41-60 years old K1=1.0, ≥61 years old K1=1.1); K2 is the physiological habit coefficient (daily sedentary K2=1.0, daily active individuals K2=1.05); D is the fixed number of days;

[0169] The daily activity count is calculated as follows:

[0170] N = round(T × K3);

[0171] Where N is the recommended number of daily activities, and the specific activities can be adjusted according to the actual needs of the target group; K3 is the activity frequency coefficient, which can be set according to age and daily physiological needs, and the specific setting value can be obtained from data statistics; round is the rounding function.

[0172] The calculation method for the duration of a single activity is as follows:

[0173] t = t0 × K4;

[0174] Where t is the recommended duration of a single activity, t0 is the basic activity duration, and K4 is the tolerance coefficient (determined based on the results of preoperative neck muscle testing; K4=1.2 for muscle strength ≥ grade 3, K4=1.0 for muscle strength grade 2, and K4=0.8 for muscle strength ≤ grade 1).

[0175] In an optional embodiment, the fixed headgear is further provided with multiple pressure sensors for monitoring the facial pressure of the target object, and an intraocular pressure sensor for monitoring the eye pressure of the target object is also provided on the eyes of the target object or on the fixed headgear; wherein, the facial pressure threshold and the eye pressure threshold can be fixed values ​​or can be personalized according to the target object's situation.

[0176] When facial and / or eye pressure exceeds the threshold, the headrest issues an alert and further adjusts the contact pressure.

[0177] Specifically, when the fixed head frame is an airbag structure, the contact pressure can be adjusted by changing the inflation volume. The adjustment amount ΔP = 0.3 × (PP) th ), where P is the current pressure value, and the adjusted pressure is not lower than 8 kPa.

[0178] The facial pressure threshold is calculated as follows: P th =15kPa - 0.2 × target body mass index;

[0179] The method for calculating the intraocular pressure threshold (IOP) is as follows: th =21mmHg + 1.5 × patient age coefficient (≤40 years old, take 1.0; 41-60 years old, take 1.1; ≥61 years old, take 1.2).

[0180] In an optional embodiment, the above method further includes a step of differentiating settings based on the number of cracks, specifically including:

[0181] When there is only one crack, its center is the crack center, and the above steps can be followed. When there are multiple cracks, it is necessary to determine whether the distance between the multiple cracks meets the preset distance requirement. If all meet the requirement, the crack area is used as the weighting standard, and the crack center is determined by connecting the crack centers to obtain a line segment / geometric shape. If all do not meet the requirement, an alternating pressing technique is required. That is, after determining the crack center, the alternating adjustment time of the fixed head frame is set to achieve alternating pressing. At this time, the attitude monitor will also be set accordingly. If some meet the requirement and some do not, the crack center of the crack that meets the preset distance condition must be determined first. That is, the crack area is used as the weighting standard, and the crack center of the crack that meets the preset distance requirement is connected to obtain a line segment / geometric shape. The crack center is then determined by the weight. Then the crack center of the crack that does not meet the preset distance condition is determined. After all crack centers are determined, the alternating pressing technique is used, the alternating adjustment time of the fixed head frame is set to achieve alternating pressing, and the attitude monitor is set accordingly.

[0182] The alternating pressing rule is to press the large crack first and then the small crack, and to press the lower hole first and then the upper hole.

[0183] As can be seen from the above technical solutions of the embodiments of this application, in the embodiments of this application, the anatomical location of the retinal tear is first accurately located. Combined with the patient's individual characteristics such as cervical curvature, spinal morphology, age, and physical condition, a customized treatment parameter is created using a quantitative algorithm. This improves posture adaptability, reduces muscle soreness and fatigue, and enhances the patient's tolerance to long-term treatment (especially suitable for the elderly and those with weak spinal function). Furthermore, relying on real-time fusion of multi-sensor data and a PID dynamic adjustment algorithm, it responds to changes in head posture in milliseconds and accurately corrects deviations. The preset head posture range can be customized to ensure posture stability throughout the treatment process, avoid laser positioning deviation, and guarantee the accuracy and effectiveness of retinal repositioning and treatment. It minimizes the risk of secondary treatment; simultaneously monitors facial pressure distribution and intraocular pressure changes in real time, automatically adjusting support or triggering reminders when thresholds are exceeded. Combined with an optimized support structure offering breathability and fit, it avoids local pressure damage, reducing the risk of complications such as sudden increases in intraocular pressure, facial pressure sores, and postoperative infections, thus improving treatment comfort. Furthermore, it simplifies parameter setting through quantitative calculation logic, shortening clinical operation time. Built-in intelligent reminders for treatment duration and position adjustments enhance patient compliance. Adaptable to different tear conditions and patient constitutions, it caters to both short-term outpatient treatment and long-term inpatient rehabilitation scenarios, lowering the threshold for clinical application. It comprehensively achieves core technological effects of strong personalized adaptation, precise posture control, high safety and comfort, and strong clinical applicability.

[0184] Corresponding to the adaptive adjustable nursing method provided in the above embodiments, this application also provides an adaptive adjustable nursing device. Since the adaptive adjustable nursing device provided in this application corresponds to the adaptive adjustable nursing method provided in the above embodiments, the implementation method of the aforementioned adaptive adjustable nursing method is also applicable to the adaptive adjustable nursing device provided in this embodiment, and will not be described in detail in this embodiment.

[0185] Please see Figure 2 The diagram shown is a structural block diagram of an adaptive adjustable nursing device provided in an embodiment of this application; the device includes:

[0186] 01: Information acquisition module, used to acquire the location of cracks in the target object and determine the target partition corresponding to the location of the crack;

[0187] 02: The parameterization module is used to parameterize the crack location according to the target partition to obtain crack information;

[0188] 03: Information acquisition module, used to collect cervical spine and spinal information of the target object;

[0189] 04: The first calculation module is used to calculate the current attitude angle of the target object based on the hole information, cervical vertebra information, and spinal information; the current attitude angle includes the current pitch angle and the current roll angle;

[0190] 05: The first adjustment module is used to control the adjustment of the fixed head frame to the current attitude angle, and to fix the head of the target object with the attitude monitor on its head to the fixed head frame;

[0191] 06: Real-time acquisition module, used to acquire real-time data monitored by the attitude monitor and calculate the real-time attitude angle of the target object's head based on the real-time data;

[0192] 07: The first judgment module is used to determine whether the real-time attitude angle has changed;

[0193] 08: The second calculation module is used to calculate the adjustment value of the current attitude angle based on the changed real-time attitude angle when the real-time attitude angle changes.

[0194] 09: The second judgment module is used to determine whether the adjustment value is within the preset range;

[0195] 10: The second adjustment module is used to dynamically adjust the current attitude angle according to the adjustment value if the adjustment value is within the preset range, so as to achieve self-adaptation between the fixed head frame and the target object.

[0196] It should be noted that the apparatus provided in the above embodiments is only illustrated by the division of the above functional modules when implementing its functions. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0197] The adaptive adjustable nursing device of this application first accurately locates the anatomical position of the retinal tear. Then, combining individual characteristics such as the patient's cervical curvature, spinal morphology, age, and physical condition, it customizes exclusive treatment parameters through a quantitative algorithm. This improves posture adaptability, reduces muscle soreness and fatigue, and enhances the patient's tolerance to long-term treatment (especially suitable for the elderly and those with weak spinal function). Furthermore, relying on real-time fusion of multi-sensor data and a PID dynamic adjustment algorithm, it responds to changes in head posture in milliseconds and accurately corrects deviations. The preset head posture range can be customized to ensure posture stability throughout the treatment, avoid laser positioning deviation, guarantee the accuracy of retinal repositioning and treatment effectiveness, and reduce the risk of secondary complications. Treatment risks are mitigated; the system simultaneously monitors facial pressure distribution and intraocular pressure changes in real time, automatically adjusting support or triggering alerts when thresholds are exceeded. Combined with an optimized support structure offering breathability and fit, it avoids local pressure damage, reducing the risk of complications such as sudden increases in intraocular pressure, facial pressure sores, and postoperative infections, thus improving treatment comfort. Furthermore, it simplifies parameter setting through quantitative calculation logic, shortening clinical operation time. Built-in intelligent reminders for treatment duration and position adjustments enhance patient compliance. Adaptable to different tear conditions and patient constitutions, it caters to both short-term outpatient treatment and long-term inpatient rehabilitation scenarios, lowering the threshold for clinical application. It comprehensively achieves core technological effects characterized by strong personalized adaptation, precise posture control, high safety and comfort, and strong clinical applicability.

[0198] This application also provides an electronic device, including a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the processor loads and executes the at least one instruction or at least one program to implement the adaptive adjustable care method provided in the above method embodiments.

[0199] Memory can be used to store software programs and modules. The processor executes these stored software programs and modules to perform various functional applications and achieve advanced autonomous driving. Memory can primarily include a program storage area and a data storage area. The program storage area can store the operating system, application programs required for functions, etc.; the data storage area can store data created based on device usage, etc. Furthermore, memory can include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, memory can also include a memory controller to provide the processor with access to the memory.

[0200] The method embodiments provided in this application can be executed in a computer terminal, server or similar computing device, that is, the above-mentioned electronic device may include a computer terminal, server or similar computing device. Figure 3 This is a hardware structure block diagram of an electronic device that operates an adaptive and adjustable nursing method, as provided in an embodiment of this application. Figure 3As shown, the internal structure of this electronic device may include, but is not limited to, a processor, a network interface, and a memory. The processor, network interface, and memory within the electronic device can be connected via a bus or other means, as illustrated in the embodiments of this specification. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0201] The processor (or CPU, Central Processing Unit) is the computing and control core of the electronic device. The network interface may optionally include a standard wired interface or a wireless interface (such as Wi-Fi, mobile communication interface, etc.). The memory is the storage device in the electronic device used to store programs and data. It is understood that the memory here can be a high-speed RAM storage device or a non-volatile memory device, such as at least one disk storage device; optionally, it may also be at least one storage device located remotely from the aforementioned processor. The memory provides storage space, which stores the operating system of the electronic device, including but not limited to: Windows (an operating system), Linux (an operating system), Android (a mobile operating system), iOS (a mobile operating system), etc., which are not limited in this application; and the storage space also stores one or more instructions suitable for being loaded and executed by the processor, which may be one or more computer programs (including program code). In the embodiments of this specification, the processor loads and executes one or more instructions stored in the memory to implement the adaptive adjustable care method provided in the above method embodiments.

[0202] This application also provides a computer-readable storage medium storing at least one instruction or at least one program, which is loaded and executed by a processor to implement the adaptive adjustable care method provided in the method embodiment.

[0203] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0204] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than those shown in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multi-sample image classification and parallel processing are also possible or may be advantageous.

[0205] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0206] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0207] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. An adaptive and adjustable nursing method, characterized in that, include: Obtain the location of the crack in the target object and determine the target partition corresponding to the location of the crack; The crack location is parameterized according to the target partition to obtain crack information; Collect cervical spine and spinal information of the target object; Based on the slit information, the cervical vertebrae information, and the spinal column information, the current posture angle of the target object is calculated; the current posture angle includes the current pitch angle and the current roll angle. The fixed headgear is adjusted to the current attitude angle, so that the head of the target object wearing an attitude monitor is fixed on the fixed headgear; The real-time data monitored by the attitude monitor is acquired in real time, and the real-time attitude angle of the head of the target object is calculated based on the real-time data. Determine whether the real-time attitude angle has changed; When the real-time attitude angle changes, the adjustment value of the current attitude angle is calculated based on the changed real-time attitude angle; Determine whether the adjustment value is within a preset range; If the adjustment value is within the preset range, the current attitude angle is dynamically adjusted according to the adjustment value to achieve self-adaptation between the fixed head frame and the target object; The step of obtaining the location of the crack in the target object and determining the target partition corresponding to the location of the crack specifically includes: Acquire fundus images and OCT tomographic images of the target object; The fundus images were analyzed to locate the center of the retinal tear; The radial depth of the center of the pore is determined based on the OCT tomographic image. The location of the crack is determined based on the center of the crack and the radial depth, wherein the location of the crack includes the coordinates of the center of the crack; The partitioning criteria are determined based on the basic information of the target object; The retina of the target object is divided into anatomical regions according to the zoning criteria, and the coordinate boundaries of each anatomical region are defined. The target partition is determined by matching the coordinates of the fracture center with the anatomical partition.

2. The adaptive and adjustable nursing method according to claim 1, characterized in that, The zoning criteria include ETDRS zoning and ROP zoning; the ROP zoning is applicable to premature infants or low birth weight infants whose basic information indicates that they meet specific criteria, and the ETDRS zoning is applicable to target individuals whose basic information indicates that they do not meet the ROP zoning criteria.

3. The adaptive and adjustable nursing method according to claim 2, characterized in that, The step of parameterizing the crack location based on the target partition to obtain crack information specifically includes: Based on the coordinate codes assigned to each of the anatomical partitions, the target coordinate codes corresponding to the target partitions are determined; the coordinate codes include horizontal direction codes, vertical direction codes, and radial depth codes. The crack location is parameterized based on the target coordinate encoding to obtain the crack information.

4. The adaptive and adjustable nursing method according to claim 3, characterized in that, The step of calculating the current posture angle of the target object based on the laceration information, the cervical vertebra information, and the spinal information specifically includes: Based on the target radial depth code and target vertical direction code in the hole information, a reference pitch angle is determined; and based on the target horizontal direction code in the hole information, a reference roll angle is determined. Based on the cervical spine information, calculate the pitch angle correction value; and based on the spinal information, calculate the lateral tilt angle correction value. The current pitch angle is calculated based on the reference pitch angle and the pitch angle correction value; and the current roll angle is calculated based on the reference roll angle and the roll angle correction value.

5. The adaptive and adjustable nursing method according to claim 1, characterized in that, The process of acquiring real-time data monitored by the attitude monitor and calculating the real-time attitude angle of the target object's head based on the real-time data specifically includes: The gravity projection angle, rotation angle, and geomagnetic field heading angle monitored by the attitude monitor are acquired in real time. The real-time attitude angle is obtained by fusing the gravity projection angle, the rotation angle, and the geomagnetic field heading angle using a complementary filtering algorithm.

6. The adaptive and adjustable nursing method according to claim 5, characterized in that, The step of calculating the adjustment value of the current attitude angle based on the changed real-time attitude angle specifically includes: Based on the changed real-time attitude angle, the adjustment value of the current attitude angle is calculated using a PID control algorithm.

7. An adaptive and adjustable nursing method according to any one of claims 1-6, characterized in that, The method further includes: Based on the target object's physiological information, determine the target object's daily recommended fixed duration, recommended number of activities, and recommended duration of each activity; the physiological information includes age, physiological habits, and tolerance.

8. An adaptive adjustable nursing device, implemented using an adaptive adjustable nursing method as described in any one of claims 1 to 7, characterized in that, The device includes: The information acquisition module is used to acquire the location of the crack in the target object and determine the target partition corresponding to the location of the crack; The parameterization module is used to parameterize the crack location according to the target partition to obtain crack information; The information acquisition module is used to collect cervical spine information and spinal information of the target object; The first calculation module is used to calculate the current attitude angle of the target object based on the slit information, the cervical vertebra information, and the spinal information; the current attitude angle includes the current pitch angle and the current roll angle; The first adjustment module is used to control the fixed head frame to adjust to the current attitude angle, and to fix the head of the target object with the attitude monitor on its head to the fixed head frame; The real-time acquisition module is used to acquire real-time data monitored by the attitude monitor and calculate the real-time attitude angle of the head of the target object based on the real-time data. The first judgment module is used to determine whether the real-time attitude angle has changed; The second calculation module is used to calculate the adjustment value of the current attitude angle based on the changed real-time attitude angle when the real-time attitude angle changes. The second judgment module is used to determine whether the adjustment value is within a preset range; The second adjustment module is used to dynamically adjust the current attitude angle according to the adjustment value if the adjustment value is within the preset range, so as to achieve self-adaptation between the fixed head frame and the target object.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by the processor to implement an adaptive adjustable care method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing at least one instruction or at least one program, said at least one instruction or said at least one program being loaded and executed by a processor to implement an adaptive adjustable care method as described in any one of claims 1 to 7.

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