849results about "Skiascopes" patented technology

The invention discloses a diopter detection data fusion processing system based on deep learning, and relates to the technical field of medical detection. The system comprises a multi-modal data acquisition module, a data preprocessing and aligning module, a dynamic sequence analysis module, a deep learning regression core module, a personalized calibration module and a result output and visualization module which are connected in sequence. The system obtains objective detection data through a multi-modal data acquisition module, and multi-modal data is formed after preprocessing and space-time alignment; the dynamic sequence analysis module extracts adjustment response time sequence features; the deep learning regression core module calculates an initial diopter parameter; the personalized calibration module performs parameter optimization in combination with the biological characteristics of the user; and finally, a visual quality simulation result is generated through a result output and visualization module. According to the method, the multi-modal data fusion and deep learning technology is utilized, rapid and accurate diopter automatic detection is realized, and the detection efficiency and the individuation level are remarkably improved.

The invention belongs to the technical field of refraction detection, and particularly relates to a human eye dynamic refraction detection method based on a three-dimensional phase deflection method. The method comprises the following steps: S1, based on a three-dimensional phase deflection imaging system and an iterative representation integral algorithm, obtaining a 3D shape of a to-be-detected human eye in place in real time; s2, on the basis of the 3D shape of the to-be-detected human eye, the current staring direction of the to-be-detected human eye is obtained in real time in place by combining a ray tracing method; s3, establishing a refractive imaging system, and obtaining a diopter value of the to-be-measured human eye in the current staring direction in real time in place based on the refractive imaging system; and S4, fitting different staring directions of the to-be-detected human eyes and the dynamic numerical curve of the diopter values in the corresponding staring directions to realize human eye dynamic refraction detection. According to the method, an accurate treatment scheme can be accurately provided for the ametropia patient in a real scene, and guidance can be provided in the aspect of personalized customization of the spectacle lenses.

The invention discloses a visual training system and a visual training method, and relates to the technical field of visual training, the visual training system comprises a data acquisition module, an intelligent control module, a visual training module and a data management module; wherein the data acquisition module is used for acquiring initial visual data of a user; the intelligent control module is used for generating a training scheme according to the initial visual data, dynamically adjusting the training scheme according to the real-time training data, and generating and sending a control signal to the visual training module according to the training scheme; the visual training module is used for performing visual training according to the control signal and outputting training data; the data management module is used for storing training data and generating and outputting a visual training report according to all the training data of the user; the visual training report comprises a training progress curve and a vision change curve of the user. According to the invention, an intelligent visual training method can be provided to improve the visual training effect.

The invention discloses a personalized myopia prevention and control single-spectrum irradiation optimization system, and the key points of the technical scheme are that the system comprises the following steps: 1, collecting basic data: collecting the individual basic data of a user, and enabling the individual basic data to reflect the inherent features of the eyes of the user and the basic state of myopia; step 2, collecting real-time associated data: collecting the real-time associated data of the user, wherein the real-time associated data reflects the myopia progress dynamic state of the user and a daily eye use scene; step 3, initial single-spectrum irradiation parameter generation: initial single-spectrum irradiation parameters adapted to the user are generated based on individual basic data and real-time associated data, and the initial single-spectrum irradiation parameters comprise irradiation wavelength, irradiation intensity, single irradiation duration and irradiation time period; 4, collecting eye safety data: executing single-spectrum irradiation according to the initial single-spectrum irradiation parameters, and collecting the eye safety data of the user in real time; the prevention and control effectiveness can be improved, and the individual difference problem is solved.

Provided is a medical apparatus for predicting myopic regression. The medical apparatus for predicting myopic regression can be configured to predict at least one of a probability of myopic regression and whether myopic regression will occur from numerical data including a refractive power, a corneal curvature, an eye axial length, a photopic pupil size, a mesopic pupil size, a corneal diameter, a corneal thickness, a corneal epithelial thickness, a high-order aberration, a visual acuity, an intraocular pressure, a sex, and an age using a machine learning processor.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and / or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

The invention relates to the technical field of optometry, and discloses a self-service optometry method and system for a self-service optometry unit, and the method comprises the steps: obtaining a facial image of a user, carrying out key point detection, recognizing images of two eyes, and determining the center of a pupil; setting the position of a light spot emission point according to the pupil center; when the light spot image is emitted into the pupil of the user, adjusting the brightness of the light spot image according to a preset brightness step length, obtaining the pupil area of the user corresponding to each brightness, determining the pupil area change rate corresponding to each brightness, determining the optimal brightness according to the pupil area change rate, and emitting the light spot image to the user based on the optimal brightness; the method comprises the following steps: acquiring a reflected light spot image in a pupil of a user, performing feature extraction on the reflected light spot image to obtain light spot feature information, comparing the light spot feature information with preset standard light spot feature information, determining a refraction state of the user according to a comparison result, and generating an optometry result. According to the invention, the initial accuracy of optometry is improved.

The invention relates to the technical field of medical treatment, and particularly discloses a high-resolution intelligent ophthalmology diagnosis and treatment system and method, and the system comprises a retina imaging module, an image analysis module, a biological parameter monitoring module, a treatment recommendation module, a data management module, and a patient end application module. The retina imaging module is used for acquiring targeted fundus images by using an advanced fundus imaging technology; the image analysis module is used for automatically analyzing the eye fundus image through a deep learning model to obtain an analysis result; the biological parameter monitoring module is used for monitoring eye biological parameters in real time through non-invasive equipment; the deep learning model is used for analyzing the collected eye fundus image, biological parameters are monitored in real time, data trend analysis is carried out, the diagnosis accuracy of ophthalmic diseases is improved, and a personalized and dynamically-adjusted treatment scheme is provided for a patient; through scientific treatment scheme recommendation and long-term data tracking, accurate decision support is provided for doctors.

Certain aspects of the present disclosure provide a system for processing image data from an intraoperative diagnostic device in real-time during an ophthalmic procedure. The system comprises an image capture element that captures a grayscale image of a first size and an image processing element that scales the grayscale image from the first size to a second size. The system also comprises a two-stage classification model comprising: a feature extraction stage to process the scaled grayscale image and generate a feature vector based on the scaled grayscale image and a classification stage to process the feature vector and generate an output vector. The image processing element is further configured to determine an image quality of the obtained grayscale image based on the output vector for display to an operator and the image quality of the obtained grayscale image indicates a probability that the obtained grayscale image includes an artifact.

Systems and methods are provided for improving overall vision in patients suffering from a loss of vision in a portion of the retina (e.g., loss of central vision) by providing symmetric or asymmetric optic with aspheric surface which redirects and / or focuses light incident on the eye at oblique angles onto a peripheral retinal location. The intraocular lens can include a redirection element (e.g., a prism, a diffractive element, or an optical component with a decentered GRIN profile) configured to direct incident light along a deflected optical axis and to focus an image at a location on the peripheral retina. Optical properties of the intraocular lens can be configured to improve or reduce peripheral errors at the location on the peripheral retina. One or more surfaces of the intraocular lens can be a toric surface, a higher order aspheric surface, an aspheric Zernike surface or a Biconic Zernike surface to reduce optical errors in an image produced at a peripheral retinal location by light incident at oblique angles.

A system may include a headset device comprising a display screen positioned proximate to, or within a viewable distance from a user's eyes. The headset device may be communicatively coupled to one or more processors. The system may cause the one or more processors to display a stimulus to a test subject (e.g., a patient), store in computer memory a response of the test subject to the displayed stimulus, analyze the response based on a location of the displayed stimulus, and provide feedback to the test subject based on the response and analysis.

The present disclosure relates to a computer-implemented method for determining a refractive correction in an optical system, such as an eye. This method involves the utilization of data representing a light wavefront that has passed through the optical system to compute a curvature map. The curvature map is then segmented into at least two clusters based on the variation between the curvature data points. For each cluster, the mean curvature of the light wavefront is calculated. Subsequently, the refractive correction corresponding to the mean curvature of the light wavefront in each cluster is computed. The final step involves selecting one of these computed refractive corrections as the definitive refractive correction for the entire optical system. This method allows for a quick and precise prescription determination for any type of optical correction.

The invention belongs to the field of visual training, and particularly relates to a multispectral dynamic visual function training system and method. The multispectral dynamic visual function training system comprises an image acquisition module, an intelligent analysis module, a control module, a training execution module and a multispectral light source module, the image acquisition module is arranged at a position corresponding to an eye and is used for acquiring image information near eyeballs of a user, personal information of the user and a vision diagnosis result in real time, and the image information comprises eyeball movement tracks, pupil sizes and forms, cornea edge contours and eye white elastic states; and the intelligent analysis module combines the image information and the acquisition time of the image information. According to the scheme, through collection, analysis, regulation and control of a closed loop, the problems that in the prior art, a real-time analysis mechanism based on eyeball images is lacked, the adaptability of a training scheme and eye dynamic characteristics is weak, and precise regulation and control of functions such as light nutrition supplement and choroid stimulation cannot be achieved are solved; and precise training is also realized, and the effects of prevention and protection, cooperative improvement, compliance improvement and the like are achieved.

Embodiments disclosed herein can provide ocular photo-bio- stimulation through light stimulation of specific wavelengths to the eye's retina, and to the entire eye's retina, the retina peripheral to the fovea, and / or the retina peripheral to the macula. In certain embodiments, the light stimulation is targeted at or to the rods. In other embodiments, the light stimulation is targeted at or to the ganglion cells or it is targeted at or to the rods and the ganglion cells, wherein the ganglion cells targeted or stimulated are the melanopsin containing ganglion cells (ipRGCs) or can also be called mRGCs.

The invention discloses a multifunctional automatic comprehensive optometry combined operation table and a use method thereof. The operating platform comprises a mechanical main body structure, a posture sensing system and a central processing and control unit. The mechanical main body structure comprises an optometry chair driven by a rotating disc, a lifting mechanism and an electric rotating shaft, and the posture sensing system is composed of a sitting and leaning posture recognition mechanism used for recognizing body postures and a head posture recognition mechanism used for capturing head movement. The central processing and control unit judges the posture of the optometry person according to the sensing data, and if the posture does not meet the preset standard, the seat height, the backrest angle and the horizontal position are adjusted through voice prompt and an automatic driving mechanism; when the posture reaches the standard, the optometry equipment is automatically controlled to complete operation, automatic and accurate correction of the posture before optometry and intelligentization of the optometry process are achieved, and the accuracy and efficiency of optometry results are effectively improved.

The invention discloses an electronic vision detection system, method and device, and relates to the field of vision detection.The system comprises a data generation module, a man-machine interaction module, a display module and an eye movement tracking module; the data generation module generates electronic sighting marks of different human eye vision levels according to a preset test distance by adopting a preferential fixation method; the electronic sighting mark is formed by arranging black stripes and white stripes on a background with uniform gray scale; the man-machine interaction module calls a corresponding electronic sighting mark from the data generation module according to the collected vision detection instruction; the display module displays the electronic sighting mark to the tested person; the eye movement tracking module collects human eye watching information of a detected person and obtains a vision detection instruction, and the human eye vision level is determined according to the human eye watching information and the vision detection instruction. The method can reduce the detection difficulty, objectively evaluate the vision level, and improve the accuracy of the vision detection result.

The invention provides eye health monitoring equipment, method and system and a storage medium, and relates to the technical field of eye monitoring. The eye health monitoring equipment provided by the invention is a sensor frame which can be mounted on glasses and is used for monitoring and researching eye health. The equipment is provided with a compact wearable frame, a built-in infrared eye camera, an independently addressable infrared light emitter, an RGB (Red, Green, Blue) camera facing the outside, an inertial measurement unit (IMU), a plurality of integrated sensors such as an ambient light and proximity sensor, and a control system. Parameters of the plurality of sensors can be configured in real time and data output of the plurality of sensors can be synchronized through a control system, so that the equipment can support various eye health applications including staring estimation, interpupillary distance measurement, diopter estimation, lacrimal river height analysis and attention monitoring. According to the technology, the limitation of an existing system is overcome, and a unified platform is provided for advanced eye health diagnosis and research in clinical and real environments.

An apparatus, and corresponding method, for determining a refractive property of an eye includes a housing with a port configured to receive an eye and also light from the eye. A tunable lens can be mounted to the housing to apply a variable focal power to the light from the eye and to pass the light along an optical path toward a wavefront sensor within the housing. The wavefront sensor can receive the light via the optical path and measure a wavefront thereof. A determination module can be configured to determine a property of the eye based on the wavefront. Embodiments can be handheld, portable, and open view, while providing objective wavefront aberrometry, subjective phoroptry, and accommodation and presbyoptic evaluation, as well as lensometry functions.

The invention relates to the technical field of glasses fitting, and discloses an intelligent AI full-automatic glasses fitting debugging system, which comprises the following steps: a face data acquisition and pupil positioning module, a dynamic optical adjustment module, an AI intelligent decision and adaptive optimization algorithm module, a visual function evaluation and dynamic adjustment module, and a data interaction and user feedback module. An intelligent AI full-automatic glasses fitting and debugging method comprises the following steps: acquiring facial geometric data and pupil positions of a user, and calculating pupil distance and pupil height parameters; the diopter and pupil height are adjusted based on facial data, and a liquid crystal adjustable lens and a mechanical translation prism are adopted for dynamic optical adjustment. The AI full-automatic glasses fitting technical scheme based on multi-modal data fusion is adopted, the real-time high-precision glasses fitting adjustment effect is achieved, the problems of precision deviation and tedious operation caused by manual intervention are solved, and the rapid and automatic whole-process fitting process is achieved.

To provide a new technology to measure at least characteristics of both eyes with a high degree of precision while saving costs and space.SOLUTION: An ophthalmologic apparatus includes an objective lens, an OCT optical system, an optical axis switch member, a control part, and an intraocular parameter calculation part. The OCT optical system projects measurement light onto a left eye to be examined arranged on a first measurement optical axis or onto a right eye to be examined arranged on a second measurement optical axis through the objective lens, and detects interference light between return light of the measurement light from the left eye to be examined or the right eye to be examined and reference light through a reference light passage. The optical axis switch member switches an optical axis of the OCT optical system so as to roughly match the first measurement optical axis or the second measurement optical axis. The control part controls the optical axis switch member. The intraocular parameter calculation part calculates the intraocular parameter of the left eye to be examined or the right eye to be examined on the basis of a result of the detection of interference light obtained in a state where the optical axis of the OCT optical system is switched so as to roughly match either the first measurement optical axis or the second measurement optical axis.SELECTED DRAWING: Figure 1

This ophthalmic information processing device calculates the refractive power of an examined eye wearing an intraocular lens on the basis of wavefront aberration information obtained by conducting wavefront aberration measurement for the examined eye. The ophthalmic information processing device comprises an acquisition unit and a calculation unit. The acquisition unit acquires at least intraocular lens information representing the optical characteristics of the intraocular lens. The calculation unit uses the intraocular lens information to change a refractive power calculation process method and calculate the refractive power of the examined eye.

The present invention relates to apparatuses, computer programs, and methods for visual ametropia correction. In a first example, a position of a desired focusing point relative to a retina of an individual eye may be determined, based on obtained topographic information of the anterior surface and of the posterior surface of the cornea, and refractive aberration information for the eye. In a second example, correction information relating to the anterior surface of the cornea may be determined, such as to optimize focusing onto a retina of the eye, based on the obtained topographic information of the anterior surface and of the posterior surface of the cornea and based on obtained topographic information of an anterior surface and of a posterior surface of a lens of the individual eye.

The invention relates to a refractive error detection system and method. The refractive error detection system comprises a plurality of lens assemblies and a mobile terminal device. Wherein the multiple groups of lens assemblies are arranged on the front surface or the rear surface of the mobile terminal equipment and are in communication connection with the mobile terminal equipment; wherein each group of lens assemblies comprises a flash lamp, a first camera and a second camera which are arranged along the astigmatism meridian corresponding to each group of lens assemblies, and the lens assemblies are used for collecting eye images; and the mobile terminal equipment is used for inputting the eye image into the completely trained refractive error detection model and acquiring a refractive error detection result output by the refractive error detection model. Through the method and the device, the problems of relatively high detection cost and relatively low detection efficiency of the refractive error in related technologies are solved, and the technical effects of reducing the detection cost of the refractive error and improving the detection efficiency of the refractive error are achieved.

The invention relates to the technical field of medical images, in particular to a training method and system of a vision risk prediction model based on multi-dimensional data and a medium. The method comprises the following steps: acquiring ophthalmology historical cases, and performing retinal fluorescence angiography feature extraction according to the ophthalmology historical cases so as to obtain a retinal fluorescence angiography; carrying out retinal vessel anomaly analysis according to the retinal fluorescence angiogram, so as to obtain retinal vessel anomaly data; constructing a retina anomaly recognition model according to the retinal vessel anomaly data so as to obtain the retina anomaly recognition model; according to the retina anomaly recognition model, patient retina anomaly recognition is carried out on the ophthalmology historical cases, and therefore patient retina anomaly data are obtained; and according to the patient retina anomaly data, carrying out patient physiological test feature extraction to obtain patient physiological test data. According to the invention, more accurate vision risk prediction is realized based on the medical image technology.

The invention provides a dynamic diopter detection method and system based on a wearable module, and relates to the field of myopia prevention and control, and the method comprises the steps: exciting light rays through a light source part of the wearable module to enable the light rays to enter eyeballs of a wearer, and obtaining first reflection light rays through diffuse reflection and refraction of the light rays through a retina and a crystalline lens; acquiring first video information including the first reflected light through an optical axis of a camera module of the wearable module; the first video information is uploaded to a server for training, a target model is obtained, second video information is collected and uploaded to the server, and a crystalline lens image is segmented from the second video information; and analyzing the crystalline lens image based on the target model to output diopter change trend information. After the target model corresponding to the wearer is obtained, the second video information continues to be collected, the crystalline lens image is segmented, diopter change trend information can be obtained by analyzing the crystalline lens image through the target model, and therefore the myopia condition of the wearer is obtained.

The invention discloses a pair of frame glasses external auxiliary adjustment light splitting glasses and a use method thereof, and particularly relates to the technical field of glasses, the frame glasses external auxiliary adjustment light splitting glasses comprise a glasses frame and glasses legs, the glasses legs are fixedly mounted at the rear end of the glasses frame in a bilateral symmetry manner, and lenses are fixedly connected to the inner surface of the glasses frame in a bilateral symmetry manner; central optical areas are arranged at the centers of the two lenses, the two lenses are provided with peripheral annular optical areas around the central optical areas, and a plurality of micro-cylindrical lenses are arranged in the areas where the peripheral annular optical areas are located. According to the frame glasses external auxiliary adjustment light splitting glasses and the use method thereof, through personalized design and adjustment, the vision correction requirements of different users are met; the size of the central optical area is customized according to comprehensive consideration of the diameter of the macular area, the eyeball curvature, the cornea shape and the personal eye using habit of the user, it is ensured that light is accurately focused on the retina of the user, the correction effect is optimized, and visual discomfort caused by mismatching of the sizes of the optical areas is reduced.

The invention provides an eye detection device, and belongs to the field of wearable medical supplies. The device comprises a pair of glasses, and an acquisition module and a light source module which are arranged on the glasses, the acquisition module is used for acquiring images and optical signals; the light source module is used for illumination. According to the invention, illumination required by eye test can be provided, and the eyes of a subject can be detected; through the VR, AR or XR technology, rich and diversified images can be provided for the subject for eye detection and training.

The invention provides an eye axis length change prediction method and device based on eye using parameters, equipment and a medium, and the method comprises the steps: obtaining eye using parameter features of a user to construct multi-granularity feature signal data, user individual feature data and eye axis length data, and carrying out the preprocessing of the data as a comprehensive data set; a multi-scale Transform prediction model is constructed, a multi-scale feature encoder is adopted to process time sequence features of different granularities, multi-scale features are fused to integrate individual features, and an ocular axis length change interval is predicted; the comprehensive data set is input into a multi-scale Transform prediction model for training, and a trained multi-scale Transform prediction model is obtained; and inputting the acquired multi-granularity characteristic signal data and the user individual characteristic data into a multi-scale Transform prediction model to predict the length change of the eye axis so as to solve the problem that the monitored eye parameter data cannot be effectively utilized to continuously monitor the dynamic change of the eye axis.

A device for automated measurements of eyeball deviation and / or vertical and horizontal observation angles, comprising optomechanical system cooperating with image recording and display devices has a screen placed in an integrated housing, in front of which two symmetrically embedded optomechanical modules are mounted on the side arms said side arms are movably embedded on parallel, horizontal guideways arranged perpendicularly in relation to the side arms and driven along these guideways with a servo drive and driving elements, wherein every optomechanical module has a camera operating in the invisible light spectrum, optical tube fixing the lens system, vision switching off system, eye pupil illuminator operating in the invisible light spectrum, where the screen is placed perpendicularly to the axis of the lens system and at a distance that allows acute viewing of the screen and covering the possibly largest part of the eye's field of view.