65 results about "Strabismus" patented technology

The invention relates to the technical field of marine remote sensing observation, in particular to a squint ATI-SAR multi-view sub-aperture focusing marine vector flow inversion method. The method comprises the following steps of observation of strabismus ATI-SAR loads, focusing of multi-view sub-apertures, inversion of multi-view HLOS flow velocity, overdetermined equation solving of vector flow and checking of internal and external consistency of the vector flow. Non-side-looking observation is adopted for the load, observability of components in the rail direction is enhanced through physical squint, and low cost of a single beam and system conciseness are kept; according to the method, the contribution of the azimuth component is in direct proportion to the squint angle sine, so that the along-track component far greater than the virtual squint can be obtained, the solvability of the equation is improved, and the inversion instability is reduced; visual and reliable information observation is achieved with small system burden, equipment investment is saved, large-scale vector flow on-orbit observation can be achieved, and engineering is easy to achieve. According to the method, three-step closed-loop processing is carried out, the bottleneck of the traditional technology is solved, and the engineering availability and the result robustness are broken through.

The invention discloses a strabismus detection method based on causal feature gating, and the method comprises the steps: carrying out the modeling analysis of a causal relationship between a key point coordinate and a strabismus category through a causal discovery algorithm, obtaining a causal relationship model used for determining the causal relationship, screening the key point coordinate based on the causal relationship model, and obtaining a strabismus detection result. Extracting a plurality of causal variables from a plurality of samples of the training sample set according to the causal variable set; and introducing a causal feature gating module between adjacent network layers of the classification model, training the classification model by using a plurality of causal variables, and performing adaptive adjustment on gating parameters in the training process of the classification model until the classification model converges or reaches a preset training round number, thereby obtaining a final classification model. According to the embodiment of the invention, the accuracy of strabismus classification can be improved, and the interpretability and medical application value of the model can be remarkably enhanced.

The invention provides an artificial intelligence-based strabismus prevention method and system. The method comprises the following steps: S1, acquiring a face video stream in an object viewing process of a user through a camera; s2, extracting each frame from the face video stream, and identifying a plurality of user face feature points in each frame; s3, selecting facial key points related to strabismus from the facial feature points of the user, and statically identifying a strabismus trend according to the facial key points; s4, according to the face key points, dynamic detection of the strabismus trend is carried out, and the dynamic detection comprises head three-dimensional posture detection and binocular movement coordination detection; and S5, according to the static identification and dynamic detection results, performing intervention on the user by adopting a three-level intervention strategy to realize accurate prevention and control of the strabismus behavior. The method can effectively prevent strabismus.

The invention provides a high strabismus imaging method and system for cooperative scanning of an agile attitude and a load. The method comprises the following steps: calculating optimal imaging parameters of a high strabismus mode; establishing a load high-squint stripe imaging method under satellite level flight and left and right side-looking attitudes; establishing an SAR imaging coordinate system in a posture and load cooperative scanning state; establishing an attitude agile maneuvering and load electric scanning coordinated slip aggregation mode implementation method; and establishing an azimuth large squint multi-target mode observation mode. According to the invention, the agile maneuvering capability of the satellite platform and the large-angle scanning capability of the load phased-array antenna are fully utilized, and the agile maneuvering capability of the satellite platform and the large-angle scanning capability of the load phased-array antenna cooperate to realize in-orbit large-squint imaging, so that the method has popularization and practical values for improving the in-orbit application efficiency of light and small

The present application discloses a strabismus detection method, apparatus and system based on a display device, a device, and a medium. The method comprises: calibrating a detection position of a user on the basis of a reference marker worn by the user, and determining that the user is at a target detection position; in the detection process, in response to a detection control instruction, controlling a display device to display a target image corresponding to an uncovered eye, wherein the target image works in conjunction with a covering unit to achieve a covering effect on the covered eye and display a target optotype visible to the uncovered eye, and controlling an image collection apparatus to collect the change of the uncovered eye being converted from a covered state to an uncovered state; and on the basis of the change of the uncovered eye being converted from the covered state to the uncovered state, determining deviation data corresponding to the uncovered eye. Widely applicable implementation conditions are provided for strabismus screening, so that the difficulty of strabismus detection is reduced, thereby improving the accuracy and reliability of strabismus detection under the guidance of a non-physician.

The application discloses a strabismus detection method based on a causal feature gate, comprising: modeling and analyzing the causal relationship between key point coordinates and strabismus categories by using a causal discovery algorithm to obtain a causal relationship model for determining the causal relationship, screening the key point coordinates based on the causal relationship model to obtain a causal variable set, and extracting a plurality of causal variables from a plurality of samples in a training sample set according to the causal variable set; introducing a causal feature gate module between adjacent network layers of a classification model, training the classification model by using the plurality of causal variables, and simultaneously adaptively adjusting gate parameters in the training process of the classification model until the classification model converges or a preset training number of rounds is reached to obtain a final classification model. The application embodiment can not only improve the accuracy of strabismus classification, but also significantly enhance the explainability and medical application value of the model.

The invention relates to the technical field of endoscopes, and discloses a strabismus endoscope, an assembling method thereof and an endoscope system.The strabismus endoscope comprises an insertion part, the insertion part comprises a tip part, the tip part comprises a main body part, and the main body part comprises a mounting surface used for mounting a camera shooting unit and a lighting unit; the main body part comprises two mounting cavities, the mounting cavities comprise a first cavity and a second cavity, the first cavity is used for mounting the camera shooting unit or the lighting unit, the first cavity is provided with a first opening, the second cavity is provided with a second opening, and the camera shooting unit or the lighting unit can be mounted in the second cavity through the second opening and continuously mounted in the first cavity through the second cavity. According to the strabismus endoscope, the assembling method of the strabismus endoscope and the endoscope system, the problems that in the prior art, when the camera shooting unit and the lighting unit are installed in the tip part, operation is inconvenient, and the tip part is not prone to being decontaminated can be solved.

The invention relates to the technical field of vision detection, in particular to an eye position image analysis system for measuring a strabismus angle of a child. The strabismus measurement reliability is determined based on the difference of position changes of different types of pupil center areas in eye position images of two steering eye positions in a symmetrical eye position pair and the difference of the position relations between the pupil center areas and cornea light reflecting spots in the eye position images; the strabismus measurement reliability is adjusted through the included angle between the steering eye position and the orthogonal direction in all symmetrical eye position centering, the strabismus deviation angle is determined, and then the overall measurement reliability is determined; determining a strabismus measurement value according to the difference of position changes of different types of pupil center areas in the eye position images of the steering eye position and the positive eye position; and adjusting the strabismus measurement value by using the overall measurement reliability of all the steering eye positions, and determining the final strabismus angle under the positive eye position. According to the method, the final strabismus angle is determined by integrating the information of all the steering eye positions, and the dynamic characteristics of intermittent strabismus are effectively captured.

The invention provides a strabismus screening system based on multi-dimensional dynamic eye movement tracking. The strabismus screening system comprises a data acquisition module, a data preprocessing module, a data analysis module and a result feedback module. A cartoon experimental normal form is adopted for an experiment through a domestic Pupil.IO AIO eye tracker, so that the eye movement track is monitored, the stability of a fixation point is dynamically quantified, the dynamic change during jump reaction is captured, multi-dimensional eye movement feature calculation such as sight line difference analysis is carried out, and finally dichotomy result judgment is carried out. The problems of inherent limitation, high equipment price, insufficient clinical suitability of a data analysis model and lack of a standardized process of a traditional inspection method are effectively solved.

A fine-grained strabismus diagnosis method and system using a graph neural network based on causal feature selection, and a device and a medium. The method comprises: acquiring nine facial photographs of a patient, and performing image preprocessing on each of the nine facial photographs, in order to construct a nine-gaze-position image; using an object detection algorithm to detect an orbital region in each gaze position in the nine-gaze-position image, in order to extract feature variables of each gaze position that are related to fine-grained strabismus diagnosis; using a causal feature selection algorithm to select from among the feature variables related to each gaze position key feature variables having a direct causal relationship with fine-grained strabismus diagnosis; and inputting the key feature variables of each gaze position into a graph neural convolutional network model, and performing training and optimization with a strabismus disease dataset by means of a propagation formula, in order to output a fine-grained diagnosis result. Unrelated details are removed from entire facial images, and main eye regions are extracted to construct a nine-gaze-position image, thereby reducing the computational cost; and a causal feature algorithm is used to extract key feature variables of each gaze position, and a graph neural convolutional network model is used to learn the key feature variables of each gaze position, thereby making the graph neural convolutional network model more interpretable, and thus realizing fine-grained strabismus diagnosis.

The invention belongs to the technical field of eye detection, and provides an eye position image acquisition and management method and system. The method comprises the following steps: grouping eyeball rotation images according to eyeball directions; predicting a first key parameter based on the illness state record data of the user and each historical eyeball rotation image corresponding to any orientation, and extracting a second key parameter from each eyeball rotation image grouped in the same orientation; target eyeball rotation images are screened from the groups, third key parameters of eyeballs are extracted from the target eyeball rotation images, all the target eyeball rotation images are synthesized into a panoramic image according to the directions corresponding to the groups to which the target eyeball rotation images belong, and the panoramic image and the third key parameters are stored in an associated mode. According to the method, the eye position image of the user and the corresponding eye feature parameters can be automatically collected, the data stored in an associated mode can be conveniently subjected to analysis such as current strabismus detection and screening and subsequent contrastive analysis of the recovery degree, and the strabismus condition analysis efficiency can be remarkably improved.

The application relates to the technical field of knowledge graph, and particularly provides a strabismus three-dimensional mapping method and system based on a knowledge graph, which comprises the following steps: taking a starting point space coordinate, a patient corneal reflection point offset and an eyeball rotation center coordinate as attribute values of an entity node, establishing a directed connection edge between nodes according to a fixed attachment relationship between muscles and eyeballs and between muscles and bone walls in anatomy, and constructing an initial heterogeneous graph by all entity nodes and the directed connection edge; weighting and aggregating attribute values of neighborhood nodes connected by the directed connection edge of each node in the obtained initial heterogeneous graph to obtain an aggregated feature vector of the node; and mapping all node coordinates in each obtained sub-graph to a unified three-dimensional coordinate system, and adjusting the relative positions between the sub-graphs so that all positioning base points are located on a plane. The application realizes systematic mapping and pathological posture analysis of three-dimensional space configurations of eye external muscles of a strabismus patient.

A system for strabismus assessment and a method of strabismus assessment. The system comprises a display module arranged to display a visual stimulus to be observed by an observer; an image capturing module arranged to record a plurality of images of at least one eye of the observer observing the visual stimulus; and a processing module arranged to determine an ocular misalignment condition of the observer based on the plurality of images recorded by the image capturing module.

The utility model relates to the technical field of ophthalmology examination instruments, and provides a strabismus measuring instrument which comprises a shell, a measuring window and a camera, the measuring window is embedded in the outer surface of the shell and comprises an electrochromic unit and a control unit, and the electrochromic unit is connected with the camera. The electrochromic unit comprises a shielding area which selectively shields one or two eyes of an observer in a power-on state, and the control unit is used for controlling the shielding area to shield the eyes of the observer; the camera is disposed inside the housing for recording a plurality of images of at least one eye of the observer observing the visual stimulation. According to the scheme, the electrochromic unit is used for shielding light to shield the eye area, the influence of the moving process of the baffle on the watching angle of a patient in the matching process of the servo motor and the baffle is avoided, therefore, the visual traction influence is effectively solved, and due to the fact that the servo motor does not need to be used, the visual effect is improved. And the eye shielding process is quiet and rapid.

The present disclosure relates to a head-mounted device and a strabismus detection system, wherein the head-mounted device comprises: a display module configured to sequentially display a set of visual markers in a plurality of set display regions; an image acquisition module configured to acquire a set of eye images corresponding to each eyeball, the eye images being images of a user wearing the head-mounted device when viewing the set of visual markers displayed in the corresponding display region; a gaze position vector determination module configured to determine a corresponding actual gaze position vector based on each eye image; an offset and angle determination module configured to obtain a target point gaze vector corresponding to each eyeball, determine a corresponding eyeball offset and a first angle based on each actual gaze position vector and the corresponding target point gaze vector; and a strabismus determination module configured to determine that the corresponding eyeball has strabismus when viewing the set of visual markers displayed in the corresponding display region, if the corresponding eyeball offset is greater than a first preset threshold and / or the first angle is greater than a first angle threshold.

The utility model relates to the technical field of strabismus measurement and evaluation, in particular to a strabismus measuring instrument. The strabismus measuring instrument comprises an image capturing module, the image capturing module comprises a main camera located in the middle and 2n auxiliary cameras symmetrically distributed on the left side and the right side of the main camera, and n = 1, 2 or 3. According to the strabismus degree measuring method and device, the multiple cameras are arranged so that the eye images can be captured from different angles, eye movement information can be obtained more comprehensively, errors and deviation possibly caused by a single view angle can be reduced, and therefore the strabismus degree measuring accuracy is improved.

An aspect relates to a biomarker for diagnosing thyroid-associated ophthalmopathy and use thereof. According to an aspect, by measuring the expression levels of: one or more genes selected from the group consisting of Sox6 gene, Eya1 gene, Six1 gene, and Nfix gene; a polynucleotide encoded by the gene; and a biomarker comprising a polypeptide or fragment thereof, it is possible to accurately and rapidly diagnose thyroid-associated ophthalmopathy. In addition, by using the biomarker, not only thyroid-associated ophthalmopathy but also muscle hypertrophy or muscle fibrosis caused by thyroid-associated ophthalmopathy can be diagnosed early, thereby preventing ocular proptosis, strabismus, diplopia, vision deterioration, blindness, or the like. Furthermore, a therapeutic agent for thyroid-associated ophthalmopathy can be screened by using the biomarker, and the biomarker can be used for treating thyroid-associated ophthalmopathy through adjustment of the expression level thereof.

The invention discloses a strabismus detection method based on an image adaptive acquisition frame, and relates to the field of strabismus detection, and the method comprises the steps: selecting a detection video, configuring a random playing logic for the detection video, controlling the playing of the detection video based on the playing logic, and collecting a user eye video in the playing process of the detection video; the method comprises the following steps: acquiring a user eye video, segmenting the user eye video to obtain a plurality of user eye video segments, and selecting a picture frame from each user eye video segment to obtain two picture frame sets; through specific video playing detection logic, the diversity of detection videos applied in the strabismus detection process is improved, and detection result error accumulation caused by the fact that a detected person adapts to the detection videos due to the fact that the detection videos are single is avoided.

The fusion network based on meta learning and image processing is used for few-sample squint detection, and the problem that performance of traditional deep learning is limited under data scarcity is solved. Iris relative offset ratio (IRDR) features are extracted through an image processing algorithm, and precise classification under the condition of few samples is realized in combination with a meta-learning framework. The method comprises the specific steps of obtaining and preprocessing eye image data, and constructing a network model combining image processing and metric learning. The image processing module carries out gray scale and HSV conversion through a double-branch process, and carries out light reflection point detection and pupil area fitting circle calculation to obtain IRDR features. And the IRDR features are combined with meta-learning results, so that the squint classification accuracy is improved. According to the method, the accuracy rate of 86.2% is achieved in a 5-way 1-shot task, the detection performance under the condition of few samples is remarkably improved, and support is provided for clinical strabismus screening.

The invention discloses an intermittent strabismus-oriented eye position control force evaluation method and system, and belongs to the technical field of vision detection.The method comprises the steps that when preset video content is played, a camera device is used for conducting image collection on the left eye and the right eye of a user, and a plurality of frames of eye position images and the physiological offset amount of the user are obtained; according to the eye position image and the physiological offset, calculating the relative position of the iris of the two eyes in the eye socket to obtain the deviation value of the two eyes of each frame of eye position image; based on the two-eye deviation value, performing potential strabismus frame identification on the eye position image, and outputting a strabismus attack event and a strabismus total duration during a playing period; according to the total effective watching duration and the total strabismus duration of the user, the fluctuation condition of the eye position control force of the user is analyzed, and a control force evaluation result is obtained. Therefore, by implementing the method and the device, objective evaluation of the eye position control force can be realized, and data support is provided for evaluating the development trend of intermittent strabismus and surgical decisions.

A detection method is provided for determining whether a patient suffers from strabismus and / or convergence insufficiency of eyeballs is provided, which comprises the steps of: acquiring a second detection data set based on images of human eyes by a first terminal during a second time period, extracting a first classification feature and a second classification feature from the second detection data set to obtain classification results of eye positions respectively corresponding to the first classification feature and the second classification feature; and based on the classification results of eye positions, obtaining detection results for determining whether a tested patient suffers from strabismus and / or convergence insufficiency of eyeballs and the severity of the strabismus and / or convergence insufficiency, then outputting at least one of the classification results and the detection results, thereby realizing diagnosis of the strabismus and / or convergence insufficiency. Detection of the strabismus and / or convergence insufficiency can be self-fulfilled by a patient at the first terminal by the method above, and the detection and diagnosis processes of strabismus and / or convergence insufficiency are automated, thereby reducing the high space and healthcare costs of the existing detections and providing a highly efficient and convenient solution for the early screening of strabismus and / or convergence insufficiency.

The invention discloses a synoptophore, and belongs to the technical field of ophthalmology medical instruments. The synoptophore comprises a display system, an image acquisition system, an optical system, a motion measurement system and a control module, wherein the display system at least can display pictures and is observed by a user through the optical system; the image acquisition system can acquire eye images of the user; the motion measurement system can drive the lens cone to rotate and measure the rotation angle of the lens cone. The control module can analyze and process the eye image of the user to determine the position of a light reflecting spot, or determine the position of the light reflecting spot and the center position of a pupil, and determine the Kappa angle number based on the position of the light reflecting spot, or determine the objective strabismus angle number based on the position of the light reflecting spot, the center position of the pupil and the rotation angle of the lens barrel. Or the subjective squint angle number is determined based on the lens barrel rotation angle. According to the invention, the testee can complete measurement independently by himself / herself, operation by related professionals is not needed, the operation difficulty is reduced, and the user experience is improved.

A VR headset, belonging to the field of head-mounted display technology, addresses the issue that in gaming and entertainment scenarios, the 3D movement of the user's head can easily cause the VR headset's headband to slip. Combined with device play and inertial jitter, this can lead to overall device misalignment and loosening, resulting in optical focusing distance misalignment, blurred images, ghosting, and dizziness. Existing lens adjustment solutions cannot solve the device shifting problem, and long-term use can easily induce latent strabismus. Furthermore, significant offline dizziness can occur when switching between virtual and real scenes. This invention includes a display device with a fixed connecting base on its top. This invention can adaptively follow the 3D movement of the head, solving the headband slippage and overall device misalignment problems, maintaining stable optical focusing, avoiding blurring, ghosting, and dizziness, reducing the risk of strabismus, alleviating offline dizziness, improving wearing comfort, reducing component wear, and adapting to high-motion scenarios such as gaming and entertainment.

The utility model relates to a novel strabismus hook which comprises an outer shell, a first drag hook fixedly connected with the outer surface of the outer shell and perpendicular to the bottom face of the outer shell, and a second drag hook fixedly connected through a connecting rod, one end of the second drag hook is inserted into the outer shell, the other end of the second drag hook extends outwards from the interior of the outer shell, and scale marks are arranged on the surface of the connecting rod. The starting point on the scale line corresponds to the position of the joint of the second drag hook and the connecting rod, the first drag hook and the second drag hook are located on the same side of the connecting rod and are parallel to each other, the end of the connecting rod is connected with a moving assembly, and the second drag hook is driven to move in the direction away from or close to the first drag hook through translation movement of the moving assembly. According to the utility model, a doctor is helped to determine the operation amount of extraocular muscle interception, the measurement result is more accurate, one doctor can simultaneously straighten and fix the extraocular muscle position muscle and directly measure the distance between the two draw hooks in the process, and the operation is simple and rapid.

The application discloses a water surface three-dimensional reconstruction method based on oblique view geometric constraint and attitude blind correction, and belongs to the technical field of precision engineering measurement, computer vision and physical oceanography, and comprises the following steps: acquiring point clouds by oblique scanning of a 905nm laser radar near Brewster angle, removing noises through straight-through filtering and statistical outlier removal, realizing IMU-free attitude leveling based on SVD and Rodrigues formula, taking a preset low quantile of a Z axis as a dynamic reference to perform height normalization, and finally generating a continuous three-dimensional wave surface model through two-dimensional gridding, morphological closing operation and Gaussian smoothing. By using the above method, the low-cost near-infrared laser radar can be used to realize high-precision three-dimensional reconstruction of micro-scale waves without external inertial measurement hardware and physical targets, so that the hardware cost is greatly reduced, and the convenience and precision of non-contact measurement are improved.

The invention relates to an automatic processing method for a strabismus inspection image. The method comprises the following steps: acquiring a shot strabismus image; intercepting an eye region in the strabismus image to obtain an eye region image; identifying an eyeball center point and an iris center point in the eye region image to obtain a left eye offset and a right eye offset; generating an offset distribution map based on the obtained left-eye offset and right-eye offset, and marking the left-eye offset and the right-eye offset from the same image as one group; selecting a midpoint between two points with the minimum left eye offset and the minimum right eye offset as an eye center point and taking an image corresponding to the two points as a front bitmap; and according to the offset directions of the left eye offset and the right eye offset in the same group relative to the center point of the eye, obtaining the remaining eight azimuth images. The sudoku image can be automatically screened out from the multiple shot images, manual screening is not needed, the image processing speed is increased, and the diagnosis and treatment efficiency can be improved. A system for implementing the method and a storage medium for performing the method are also included.

The utility model provides a strabismus measuring instrument which comprises a shell, a display module, an image capturing module, a processing module and an automatic light chopper, the display module, the image capturing module and the automatic light chopper are respectively contained in the shell and are respectively connected with the processing module, the display module is used for displaying visual stimulation for observers to observe, and the processing module is used for processing the image capturing module. The image capturing module is used for recording a plurality of images of at least one eye of the observer observing the visual stimulation, the processing module is used for determining the eye misalignment condition of the observer based on the plurality of images recorded by the image capturing module, and the lens group is used for pulling away a nearby object through an optical method. According to the strabismus measuring instrument, an object near the strabismus measuring instrument is pulled away by 6 m through the lens set, and therefore the technical problem that when an existing strabismus measuring device is used for measuring the strabismus degree by 6 m, a mirror needs to be placed in front of human eyes by 3 m, and application and popularization of the measuring instrument are limited is solved.

The application relates to a method for intercepting an effective imaging scene of large-oblique SAR imaging by radar technical indexes, and belongs to the technical field of large-oblique SAR imaging. According to technical index requirements of a radar signal processor, such as a signal bandwidth, a sampling rate, a pulse accumulation time and the like, which are set by a project, the following specific requirements are calculated: an imaging scene center distance, an imaging width and a resolution in a distance direction and an azimuth direction of an imaging scene in a ground plane, and the like; according to a conversion relationship of oblique plane ground plane coordinate axes, the following are calculated: a distance dimension point number and an azimuth direction pulse pressure accumulation point number of a two-dimensional imaging scene in an oblique plane, so that effective data in data recording is retained, redundant data is removed, time consumption of real-time processing of an imaging algorithm is shortened, and design requirements are met.

The application discloses a squint quasi-static bistatic SAR imaging method based on improved PCS, scale transformation factors in each azimuth direction are calculated according to radar parameters, scale factors in the range direction are determined; echo pulses are multiplied by improved phase factors in the time domain, echo signals are transformed into the frequency domain; the frequency domain signals are multiplied by improved matching filter functions, and then the signals are transformed back into the time domain; the time domain signals are multiplied by improved phase factors in the time domain, echo signals are transformed into the frequency domain; the signals transformed back into the frequency domain are multiplied by improved compensation functions in the frequency domain; equivalent phase centers of the quasi-static bistatic SAR are calculated, interpolation processing in the azimuth direction is carried out, and data uniformly distributed in the wave number domain are obtained; two-dimensional Fourier transform is carried out on the data uniformly sampled in the wave number domain, and the final imaging result is obtained. The application can effectively solve the problem that the scale transformation factor in the original PCS is too large in the squint condition, leading to ghosting in the imaging result of the quasi-static bistatic SAR, and the quality of imaging is improved.

The utility model relates to the field of image display, and particularly discloses a dynamic image display device and a strabismus measuring instrument. The close-shot display module is arranged in the frame; the distant view display module is arranged on the edge of the frame; and the control module is electrically connected with the close-shot display module and the long-shot display module respectively, and the control module is used for sending a display signal to the close-shot display module or the long-shot display module to display a dynamic image. According to the utility model, the distance between the device and an observer can be flexibly adjusted, and the attention of the observer is improved by displaying rich and colorful dynamic images, so that the diversified requirements of different observers on the display distance and the image are met.