619results 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.

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.

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.

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.

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.

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.

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

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 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.

A tomographic imaging system, methods to visualize tomographic images, and a ‎stereoscopic calibration procedure for obtaining two-dimensional cross-sectional ‎and three-dimensional volumetric images over the entire anterior eye. The optical ‎system combines stereoscopic imaging with patterned illumination (e.g., slit-‎scanning or array of slits). The captured cross-sectional images can be viewed ‎individually or as a fly-through video. The calibration and reconstruction methods ‎determine the true spatial location of imaged features and record a 3D volumetric ‎representation of the anterior eye. The system can image the entire anterior ‎chamber and contiguous structures, including the corneal limbus, sclera and ‎eyelids. Furthermore, the system can obtain corneal topography. ‎

The invention relates to the technical field of corneal confocal image generation, and provides a corneal confocal image generation method and system and a storage medium, and the method comprises the steps: controlling a laser to emit a laser beam, and then controlling a resonance galvanometer to drive transverse scanning; starting data acquisition when a laser beam scans a first position sensor during forward scanning, and ending data acquisition when the laser beam scans a second position sensor to obtain forward data; during return stroke scanning, when a laser beam scans a second position sensor, data acquisition is started, and when the laser beam scans a first position sensor, data acquisition is ended, and return stroke data is obtained; and finally, the cornea confocal image is generated based on the outbound data and the return data, real position feedback can be obtained through the first position sensor and the second position sensor in the scanning process to overcome the image dislocation problem, and high-speed two-way image dislocation distortion caused by the non-ideal state of movement of the resonance scanning mirror is solved.

A method for estimating refraction of an eye of an individual, including: a) providing a set of N acquired eccentric photorefraction images of the eye, b) setting values for a set of parameters including at least sphere, c) providing a set of N simulated eccentric photorefraction images, d) determining an estimator of a difference between the set of N acquired eccentric photorefraction images and the set of N simulated eccentric photorefraction images, e) performing an optimization using an optimization algorithm so as to optimize the estimator by adjusting values for the set of parameters and iterating steps c) and d), and f) deducing an estimation of at least one refraction parameter of the eye.

The application discloses a campus vision screening data visualization and regional prevention and control strategy generation system, comprising: a data acquisition unit for acquiring campus student vision screening core data, eye environment data, individual behavior data and regional public health resource data; a data preprocessing unit in communication connection with the data acquisition unit, for cleaning, fusing and feature extraction of the collected multi-source heterogeneous data. The application overcomes the technical problems of existing campus vision screening system, such as data isolation, single visualization form, extensive prevention and control strategy, unbalanced regional resource allocation, insufficient privacy protection and lack of iterative optimization mechanism, and provides an intelligent system integrating data acquisition, preprocessing, spatio-temporal visualization, risk assessment, hierarchical strategy generation, interactive output, privacy protection and iterative optimization, so as to realize data management, visualization, analysis, strategy generation and efficiency evaluation, and improve the accuracy of campus myopia prevention and control and the efficiency of regional management.

To provide a new technology to adjust an imaging condition accurately even in the case where the speed of a light source is accelerated.SOLUTION: An ophthalmologic apparatus includes an interference optical system, an optical scanner control unit, and a correction control unit. The interference optical system divides the light from a light source into measurement light and reference light, irradiates an eye to be examined with the measurement light through an astigmatism correction optical member and the optical scanner, and detects interference light between return light of the measurement light from the eye to be examined and the reference light. The optical scanner control unit controls the optical scanner according to a first scan pattern or a second scan pattern. The correction control unit executes correction control for controlling the astigmatism correction optical member on the basis of a result of the detection of the interference light acquired by deflecting the measurement light according to the first scan pattern. An image forming unit forms an image of the eye to be examined according to a result of the detection of interference light acquired by deflecting the measurement light according to the second scan pattern after executing the correction control.SELECTED DRAWING: Figure 4

Generation of treatment recommendations for topographic-based excimer laser surgical procedures is described that includes generating accurate cylinder compensation and spherical compensation values that are adjusted to compensate for unique characteristics of advanced topographic-based excimer laser surgical systems. Generating treatment recommendations generally includes determining a topographic vector from a topographic corneal map of the eye, determining a posterior astigmatism vector and an anterior astigmatism vector for the eye, and generating an interior astigmatism vector using the topographic vector, the posterior astigmatism vector, the anterior astigmatism vector, and a manifest astigmatism vector. In various embodiments, the cylinder compensation is generated using the interior astigmatism vector and the posterior astigmatism vector, and the spherical compensation is generated using an initial spherical compensation modified by a topographic addback modifier and a cylinder addback modifier.

The invention relates to the field of intelligent medical treatment, in particular to a dynamic illumination prediction method and device based on a refraction state and a program product. Comprising the steps of obtaining eye refraction data of a to-be-tested person; carrying out clustering and feature fusion on the refractive data to obtain fusion features; outputting the fusion features to a trained prediction model for prediction to obtain a brightness prediction value and a color temperature prediction value; and the prediction model carries out weight parameter initialization by compressing an abnormal value of refractive data and compensating distribution deviation of refractive clustering. According to the method, personalized expression of different myopia degrees on illumination perception differences can be achieved, brightness and color temperature parameters are dynamically predicted, actual lighting equipment is driven, dynamic balance of visual comfort and environmental adaptability is achieved, and the method has good actual application value.

The invention discloses an astigmatism coaxial decomposition method, system and device for analyzing the astigmatism correction effect of a corneal refractive surgery, and relates to the technical field of corneal refractive surgeries, and the method comprises the steps: obtaining a preoperative subjective optometry result and a postoperative subjective optometry result of a to-be-evaluated user; based on the preoperative subjective optometry result and the postoperative subjective optometry result, the actual correction refractive power decomposed in the axial direction of the expected correction lenticular lens is determined; based on the preoperative subjective optometry result and the postoperative subjective optometry result, the maximum actual correction refractive power decomposed in the direction perpendicular to the axial direction of the expected correction lenticular lens is determined; the surgical actual corrective diopter of the user is determined based on the actual corrective power decomposed in the axial direction of the lenticular and the maximum actual corrective power decomposed perpendicular to the axial direction of the lenticular. According to the astigmatism description method provided by the invention, the efficiency, practicability and comprehensiveness of astigmatism correction effect analysis are improved.

The application discloses an abnormal refraction state recognition method and device based on an eye abnormal posture, and the method comprises the following steps: acquiring video data corresponding to a vision test process of a subject, wherein the vision test process is a vision test performed by the subject based on a target change video played by a preset target change device; performing image frame processing on the video data, determining a face region in each frame of image, and performing face feature point extraction on the face region to determine eye socket feature points and eyebrow feature points in the face feature points; recognizing an eye abnormal posture based on the eye socket feature points and the eyebrow feature points, and determining an image frame corresponding to the eye abnormal posture, so as to determine vision test data according to the image frame, wherein the vision test data comprises the shape of a target, the distance between the subject and the target, and the blurring degree of the target. The application can accurately judge whether the subject has an abnormal refraction state by extracting the eye abnormal posture.

The present application belongs to the technical field of computer optometry instrument, and particularly relates to a computer optometry instrument human eye automatic tracking system; the computer optometry instrument human eye automatic tracking system comprises a control console, an arc-shaped track, a base, a moving table, a main body, a support frame and a rotary tracking unit are arranged on the control console; the rotary tracking unit is used to control the main body to automatically track the head movement when the head of a person to be detected rotates left and right, so that the detection device is directed to the pupil position, and the adjustment of the staff is further matched, so that the work load of the staff is reduced, and the detection result accuracy is improved; the present application does not fix the head of the person to be detected, thereby reducing the nervousness of the person to be detected; especially for children who are timid, if the head is fixed, the nervousness of the children will be further increased, and even crying will be caused, so that the detection process cannot be carried out.

A vision screening device displays visual stimuli and captures image(s) of the eye while the visual stimuli is changing over a period of time. The vision screening device uses the images to determine and monitor refractive error, ambient light level(s), pupil size, and gaze angle as the visual stimuli changes over the time period. Based on the refractive error, a determination of hyperopia and / or presbyopia is made. Based on the gaze angle and / or the pupil size, a confidence metric is determined. Based on the confidence metric and / or the determination, a recommendation for the patient is generated and displayed.

The present invention relates to the field of myopia prediction technology, specifically a method, system, and electronic device for myopia prediction based on fundus images. The method comprises obtaining a medical dataset of pathological myopia, performing data enhancement and standardization processing on the medical dataset of pathological myopia, generating a fundus image dataset, and dividing the fundus image dataset into a training set and a validation set; selecting a baseline model, performing structured pruning on the baseline model to obtain a pruned model; using the fundus image dataset to perform self-distillation training on the pruned model to generate a myopia prediction auxiliary model; obtaining a fundus image to be detected; inputting the fundus image to be detected into the myopia prediction auxiliary model to generate a myopia prediction result for the fundus image to be detected. By performing myopia prediction using the above method, it is possible to quickly and accurately identify and classify which type of pathological myopia the fundus image to be detected belongs to, reduce human errors, and provide more consistent diagnostic results.

The present invention provides a method for determining the refractive power of an eye, comprising successively irradiating the eye with a plurality of laser beams of different expansions, wherein the laser beams are emitted by at least one laser feedback interferometer (LFI), wherein the plurality of laser beams are irradiated onto the eye in such a way that a portion of each laser beam is reflected back from the eye into the LFI and interferes with the laser beam in the LFI, successively detecting a portion of each of the plurality of laser beams of different expansions with a photodetector, wherein the photodetector outputs intensity signals corresponding to the detected portions of the laser beams of different expansions, and determining the refractive power of the eye based on the detected intensity signals of the differently expanded laser beams.The invention also provides a corresponding sensor device with an adjustable lens and an alternative method with a plurality of LFIs, as well as VR glasses and electronic glasses.