55 results about "Eye muscles" patented technology

The invention discloses a method and a system for identifying muscular weakness of a critical patient, and relates to the field of muscular weakness identification. Subjective clinical muscular strength grading of the patient and instrument detection data are integrated, a muscular weakness grade mapping model of multiple parts is established, and the diagnosis accuracy is greatly improved; through a host / guest part mapping model, namely in combination with subjective feeling and objective detection data of a patient, the medullary muscular weakness symptom prone to missed diagnosis in traditional examination can be identified; on the basis of a muscle weakness index data prediction mechanism, a muscle weakness crisis risk can be warned in advance; through a treatment-evaluation-adjustment closed-loop system, dynamic optimization of a medicine scheme is realized, the crisis occurrence rate can be greatly reduced, the dosage of an immunosuppressive agent is reduced, meanwhile, the treatment effect is maintained, and the system is suitable for patient groups managed for a long time; by establishing a mapping system of a part type set and an index grade set, quantitative unified evaluation of different types such as eye muscle type / whole body type and the like is realized, and subjective judgment errors are reduced.

The utility model relates to the technical field of eye muscle training and massaging, and discloses an electronic heating eye muscle training and massaging instrument which comprises a training and massaging assembly and bandages fixed to the two sides. The training massage assembly comprises a training massage body; the front mask is arranged on the front surface of the training massage body; the eyebrow massage head is fixedly connected to the front surface of the front mask; the canthus massage head is arranged on the front surface of the front mask; the eye bag massage head is arranged on the front surface of the front mask; by arranging the liquid medicine heating assembly and the liquid medicine atomizing assembly, the liquid medicine heating assembly can store massage liquid medicine, during massage, the liquid medicine can be heated through the liquid medicine heating assembly, then the heated liquid medicine is atomized and sprayed out through the liquid medicine atomizing assembly, massage hot compress is conducted, and by means of the mode, the eyes can be heated and massaged; in addition, the liquid medicine can also be absorbed by eye muscles, and the massage effect is further improved.

The utility model belongs to the technical field of vision improvement equipment, and particularly provides a vision training instrument which comprises a shell, a display module and a functional component, a window is formed in one side of the shell, the display module is arranged in the shell and corresponds to the window, the functional component is arranged on the side, provided with the window, of the shell, and the functional component comprises massage protrusions and conductive parts. And the conductive piece can collect eye muscle bioelectric current. The eyes are aligned with the window of the shell, the functional assembly is in contact with the parts around the eyes, a user can carry out visual training by observing an image presented by the display module, the massage protrusions can massage eye muscles, and the conductive piece can collect eye muscle bioelectric current to monitor the eye condition. According to the visual training instrument provided by the invention, recovery training is carried out on vision from different aspects by integrating multiple functions, so that the purpose of enhancing the visual training effect is achieved.

The utility model discloses a visual function training device. The visual training device comprises a shell, the interior of the shell is hollow, an observation window is formed in the shell, a sighting target plate and a circuit board are arranged in the shell, a plurality of sighting target lamps are arranged on the sighting target plate at intervals in the length direction of the sighting target plate, the circuit board is electrically connected with the sighting target lamps, a controller is further installed on the shell, and the controller is electrically connected with the sighting target lamps. The controller is electrically connected with the circuit board, and the controller can be used for controlling the sighting mark lamps to be turned on or turned off one by one according to a preset time sequence in the direction towards the observation window or the direction away from the observation window. Through movement of a light source of the sighting target lamp watched by a user, the eyes are promoted to generate linkage adjustment from far to near and from near to far, so that eye muscles are exercised, the effect of maintaining and even improving the adjusting ability and the gathering ability of the eyes is achieved, and the vision is improved.

This invention relates to the field of medical data mining technology, specifically to a system for assessing eye muscle fatigue in myasthenia gravis based on infrared thermal imaging. First, the degree of blood circulation impairment is determined based on the temperature changes of pixels in various directions within a speckled region. Then, based on the number of speckled regions and the concentration of hot spots, a speckled region influence value reflecting local blood circulation and metabolic abnormalities is determined. Next, combining the degree of blood circulation impairment, the speckled region influence value, and the speckled region distribution, a comprehensive reference degree of eye muscle fatigue is determined. Furthermore, considering the distribution of speckled regions under the influence of grease, the degree of blood circulation impairment, and the characteristic that the reference degree of eye muscle fatigue typically does not change, a corresponding grease influence value is determined. Thus, combining the reference degree of eye muscle fatigue and the grease influence value allows for a more accurate determination of the eye muscle fatigue assessment value, resulting in better assessment of eye muscle fatigue in myasthenia gravis based on this value.

The invention relates to the technical field of molecular biology and animal genetic breeding, and aims to provide a method for identification or auxiliary identification of sheep eye muscle area traits, the method comprises the following steps: detecting the genotype of Chr5: g.92532941 locus in a to-be-detected sheep genome; wherein the basic group of the Chr5: g.92532941 site is G or A, and the genotype is GG, GA or AA; and based on the genotype, identifying or assisting in identifying the eye muscle area character of the sheep to be detected. The eye muscle area character of the to-be-detected sheep with the genotype of AA is superior to or assisted to the eye muscle area character of the to-be-detected sheep with the genotype of GG; or the ocular muscle area character of the to-be-detected sheep with the genotype of AA is superior to or assisted superior to the ocular muscle area character of the to-be-detected sheep with the genotype of GA. The invention discloses the obvious association between the SNP of the sheep Chr5: g.92532941 locus (Ggt; A) and the eye muscle area character of the 12-month-old ram for the first time, it is clear that the AA genotype is a dominant genotype, and a reliable genetic target is provided for molecular breeding.

The invention discloses an eye movement health device, and relates to the field of eye movement devices, and the eye movement health device comprises an eye movement machine table which is provided with a shell, a window, a plurality of light-emitting elements, an input module and a control module; the window is arranged on the shell and is used for a user to watch the interior of the shell; the light-emitting elements are arranged in the shell and are used for emitting light in sequence; the input module is arranged on the shell and is used for inputting a control instruction; the control module is connected with each light-emitting element and the input module and is used for receiving the control instruction and controlling each light-emitting element; the low-frequency electric wave generating device is connected to the control module and provided with a low-frequency electric wave patch, and the low-frequency electric wave generating device is used for generating a low-frequency electric wave signal and outputting the low-frequency electric wave signal to the body of the user through the low-frequency electric wave patch; the blood circulation promoting device is connected to the control module and used for being worn on the neck of the user, and blood circulation of the neck is promoted through the blood circulation promoting device; the electric wave signal stimulates the temple area, and the periorbital muscle group can be effectively relaxed.

The invention provides an eye muscle automatic segmentation method and system based on large model fine tuning, and is applied to the technical field of data processing. According to the method, a preprocessed eye CT image, a point and a pseudo mask generated by a Swin UNETR network, a multi-network prediction mask and system abnormal state information are obtained, the point comprises a target area mass center or boundary point coordinate, and the pseudo mask is an approximate mask generated by morphological operation. And then fine-grained and coarse-grained features of the eye CT image are extracted through a medical segmentation model, fusion features are obtained through weighted average or gating mechanism fusion, a fine-grained segmentation mask is generated through a decoder, and segmentation state evaluation is completed. Meanwhile, the points and the pseudo mask of the Swin UNETR are processed to obtain an initial segmentation reference, and system exception information is processed to obtain an exception recognition result. And finally, combining a segmentation state evaluation result to generate a model optimization influence factor, fusing a fine-grained segmentation mask, the optimization influence factor and abnormal identification information based on a voting algorithm, and finally outputting an eye muscle segmentation result.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to the eye muscle area character of the 100kg body weight of a pig and application of the SNP molecular marker, the correlation between the SNP molecular marker and the eye muscle area of the 100kg body weight of the pig reaches a remarkable level, and a new marker resource is provided for related research and breeding improvement of the eye muscle area of the 100kg body weight of the pig.

The invention discloses a method and device for evaluating intramuscular fat content of a sheep living body based on an ultrasonic image, and relates to the field of intramuscular fat prediction based on deep learning, and the method comprises the steps: obtaining a spinal ultrasonic image of a target sheep, inputting the spinal ultrasonic image into an image segmentation model, and obtaining an eye muscle region segmentation mask in the spinal ultrasonic image; and according to the eye muscle region segmentation mask and the spine ultrasonic image, obtaining an eye muscle region feature map, inputting the eye muscle region feature map into the intramuscular fat content prediction model, and predicting the corresponding intramuscular fat content. On one hand, an image segmentation model adopts an improved model based on a DeepLabV3 + architecture, an eye muscle region can be accurately segmented, and further the intramuscular fat content is accurately predicted, on the other hand, an intramuscular fat content prediction model adopts an architecture based on ConvNext-Tiny, and a global attention mechanism and multi-scale feature fusion are introduced into the architecture, so that the intramuscular fat content prediction accuracy is improved. And the prediction accuracy of the intramuscular fat content of the target sheep is improved.

The present application relates to a desk lamp for exercising eye muscles, comprising: a lighting module having a plurality of light-emitting bodies arranged according to a preset shape, configured to have a plurality of preset exercise lighting modes for exercising different eye muscle groups; a detection module for acquiring eye information capable of reflecting the degree of eye fatigue and / or the activity level of eye muscle groups; and a control module provided on the desk lamp, configured to control the lighting module to exercise the user's eyes with a combination of exercise lighting modes adapted to the user's eye information based on the eye information detected by the detection module, wherein the combination of exercise lighting modes varies in one or more of the following: the exercise duration of different exercise lighting modes, the cycle number of different exercise lighting modes, and the exercise sequence of different exercise lighting modes.

1. The name of the design product: desk type eye muscle training instrument (D4100). 2. The use of the design product: the design product is used for ophthalmic examination and vision training. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application relates to a primer of a VPS13C gene molecular marker related to a porcine eye muscle area trait and application thereof, and belongs to the technical field of biology. The VPS13C gene molecular marker of the application is located at the 110033015 base of chromosome No. 1 of a porcine reference genome Sscrofa11.1 version 1, the base mutation is G, and the genotype is G / C and C / C. The eye muscle area degree of the G / C genotype porcine is higher than that of the C / C genotype individual. The application amplifies the fragment containing the above-mentioned molecular marker site by using the forward and reverse primers, and carries out Sanger sequencing on the amplification product, so that the genotype of the individual can be quickly and accurately identified; the molecular marker can be used as a genetic marker for porcine breeding, and pigs with appropriate sizes are selected and bred; the eye muscle area of the porcine can be efficiently and accurately detected, and the application has important values for porcine breeding and production.

The invention relates to the field of head-mounted display devices, in particular to a control method of a display unit, a head-mounted display device and a storage medium. The method is applied to a head-mounted display device, a display unit of the head-mounted display device comprises a metasurface optical array and a grating displacement platform, and the method comprises the following steps: acquiring eye image information and eye muscle information of a user of the head-mounted display device; based on the eye image information and the eye muscle information, predicting a focal length compensation value at a target moment and a target curvature of a metasurface optical array; and based on the focal length compensation value and the target curvature, driving the metasurface optical array, and driving the grating to move.

The invention provides an eye protection patch for promoting blood circulation and relieving muscular soreness and a preparation method of the eye protection patch, and relates to the technical field of eye protection nursing. The eye protection patch comprises a base material layer, a drug sustained-release layer and a protective film layer, the drug sustained-release layer is loaded with a composite active component, and the composite active component is formed by compounding a traditional Chinese medicine extracting solution, a penetration enhancer, an antioxidant and a humectant according to a specific proportion; the traditional Chinese medicine extracting solution is prepared from multiple traditional Chinese medicines such as angelica sinensis, salvia miltiorrhiza, mint and chamomile through a gradient extraction process, and the traditional Chinese medicines can synergistically play roles in dilating blood vessels, promoting eye blood circulation and inhibiting release of inflammatory factors; the penetration enhancer accelerates the transdermal absorption of the active components by improving the permeability of the skin cuticle; and the antioxidant and the humectant can maintain the stability of the active ingredients and prolong the duration of the drug effect. According to the eye protection patch, through the synergistic effect of multiple components, eye muscle soreness, dryness and fatigue can be rapidly relieved, eye blood circulation disorder is improved, and the eye protection patch is suitable for daily eye protection nursing of people using eyes for a long time.

1. The name of the design product: eye protection instrument. 2. The use of the design product: used with eye protection liquid to moisturize eyes, relieve eye dryness and eye fatigue and other symptoms; improve blood circulation in eyes and relax eye muscles through heating and vibration massage. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: front view.

The invention discloses a pig ultrasonic image eye muscle area and backfat thickness measurement method based on deep learning, and the method comprises the following steps: collecting an eye muscle cross section image, and segmenting the eye muscle cross section image to obtain an eye muscle area generation image; and obtaining a backfat vertex from the eye muscle cross section image, and calculating the thickness of the backfat according to a first intersection point of the vertically downward backfat vertex and the eye muscle area region in the eye muscle area generation image. The backfat thickness is directly obtained according to the distance between the upper position and the lower position of the backfat thickness, the calculation process is simpler, errors accumulated due to multiple times of calculation can be reduced, and therefore the accuracy of the backfat thickness calculation result is improved.

The invention relates to a non-contact intelligent glasses blinking control method, device and equipment and a medium, and the method comprises the steps: synchronously collecting eye motion characteristic parameters, periorbital muscle activity characteristic parameters and head posture motion characteristic parameters of a wearer in real time; carrying out fusion processing on the collected eye action characteristic parameters, the collected periorbital muscle activity characteristic parameters and the collected head posture motion characteristic parameters, and extracting signal change characteristic parameters representing the blinking intention of the user; according to the extracted signal change characteristic parameters, utilizing a preset mode recognition algorithm to dynamically recognize a specific blink action mode executed by the user; generating a corresponding control instruction according to the identified specific blinking action mode; and executing the control instruction, and controlling a predetermined function of the intelligent glasses so as to achieve the purpose of accurately controlling full-function natural interaction of photographing, video recording, conversation, parameter adjustment and the like of the intelligent glasses.

This invention belongs to the field of biomimetic robot technology, specifically disclosing a three-degree-of-freedom parallel biomimetic eye actuator based on flexible artificial muscle actuation. It includes a hemispherical biomimetic eye structure, on which a three-degree-of-freedom flexible body actuation structure is mounted. At the end of the three-degree-of-freedom flexible body actuation structure furthest from the hemispherical biomimetic eye structure, there is a base platform connected to the hemispherical biomimetic eye structure via a ball joint. A trolley structure that cooperates with the three-degree-of-freedom flexible body actuation structure is mounted on the base platform. This invention uses a universal ball joint to connect the hemispherical biomimetic eye structure to the base platform, and coordinates with the flexible eye muscle of the three-degree-of-freedom flexible body actuation structure for actuation. By adjusting six artificial muscles (rectus and oblique muscles), the biomimetic eye using this actuator can achieve yaw, pitch, and roll motion postures, meeting the requirements of a compact structure, high precision, low noise, and high motion flexibility.

The application relates to a simulation training instrument for upper eyelid ptosis correction surgery, and belongs to the technical field of medical devices, which comprises an eye use data collector and a simulation training table. The application provides a training instrument which can realize upper eyelid ptosis surgery simulation training and individualized simulation of the recovery of the upper eyelid levator muscle after correction surgery of a simulated patient, the setting of the eye use data collector is beneficial to the collection of individualized eye use data of the patient, so that the actual use of the eye muscle of the patient can be accurately simulated, the setting of the artificial muscle and the artificial fascia is beneficial to the training of the operator in a manner closer to the actual situation of the eye of the patient, and the simulation based on the collected eye data is beneficial to the simulation of the actual recovery of the patient after the surgery, so that the surgery scheme can be more accurately formulated according to the simulation result, the feasibility of the surgery scheme and the postoperative recovery effect are improved, and the success rate of the surgery is greatly improved through the simulation muscle surgery practice.

The invention relates to the technical field of eye nursing equipment, in particular to an eye muscle training nursing instrument which comprises a massage eyeshade, bandages are fixedly arranged at the left end and the right end of the back of the massage eyeshade, a winch box is arranged at the rear end of the massage eyeshade, and a winch roller is vertically and rotatably mounted in the center of the interior of the winch box; the two symmetrical positions of the side surface of the winding roller are connected with the two binding belts correspondingly, and a small motor is fixedly installed below the winding roller. According to the eye muscle training nursing instrument, the winding roller is driven by the small motor to automatically wind the bandage, a user can quickly and accurately adjust the tightness of the bandage only by controlling the motor, the trouble of manual adjustment is omitted, operation is convenient and fast, after the bandage is tightened, the locking plate is clamped into sawteeth of the locking disc under the action of the torsional spring, the winding roller is prevented from rotating reversely, and operation is convenient. It is ensured that the bandage keeps stable and fixed in the training process, the loosening problem is avoided, rapid unlocking and bandage releasing can be achieved by pressing the button, operation is easy and convenient, and unlocking and rapid bandage releasing can be achieved with one hand.

The invention provides an MRI (Magnetic Resonance Imaging) image eye muscle segmentation method based on a VMUnet + + model, which is used for assisting thyroid-related eye disease diagnosis. The method comprises the following steps: acquiring eye medical image data of a thyroid-related eye disease patient; preprocessing the medical image data; an improved VMUnet + + network architecture is constructed; taking the preprocessed eye image data as the input of a VMUnet + + model, taking the eye muscle region multi-class segmentation result as the output, and adopting a CeDiceLoss loss function to train a segmentation model to obtain a trained eye muscle segmentation model; and inputting an eye medical image of a patient to be diagnosed into the trained model to obtain an accurate eye muscle segmentation result, thereby providing auxiliary support for clinical diagnosis of thyroid-related eye diseases. By introducing a Vision Mama mechanism, the modeling ability of the model for the complex form of the eye muscle is enhanced, and the precision and robustness of eye muscle segmentation are remarkably improved by combining the dense connection and deep supervision strategy of UNet + +.

The invention relates to a growth performance prediction method and system for three-way hybrid pigs, and belongs to the technical field of data processing. The method comprises the following steps: acquiring growth characteristic data of N three-way hybrid pigs in a target pigsty and a blood relationship of each three-way hybrid pig; wherein the growth characteristic data comprises body weight, feed intake, backfat thickness, eye muscle area and eye muscle depth; the growth characteristic data are periodically acquired time sequence data; n is a positive integer; constructing a blood relationship map based on the blood relationship of each three-way hybrid pig; and inputting the growth characteristic data of the N three-way hybrid pigs in the target pigsty and the blood relationship graph into a set dynamic graph convolution model, and outputting the growth performance data of each three-way hybrid pig at the next acquisition node. Through the process, the potential influence of the genotype on the growth of the three-way hybrid pig can be better understood, so that the accuracy of predicting the growth performance of the three-way hybrid pig can be improved.

The invention provides a teenager myasthenia gravis eye muscle type-whole body type transformation risk prediction marker and application thereof. Through GWAS analysis and research, two risky gene regions related to the transformation of the adolescent pure eye muscle type myasthenia gravis to the whole body type are obtained, and single nucleotide polymorphism (SNP) sites with statistically significant association are successfully identified.

The utility model discloses intelligent boar measurement equipment based on image recognition and projection positioning, and aims to solve the problems of low efficiency and low accuracy when the conventional boar measurement equipment is used for measuring various performances of a pig. The system comprises a weighing platform, a cage scale outer frame, an RFID antenna, a binocular depth camera, a B ultrasonic backfat instrument and projection equipment. The binocular depth camera and the projection equipment are located above the cage scale to shoot an overall image of the back of the pig and project an image containing a backfat point to be measured on the back of the pig, the ultrasonic backfat probe is held by hand to press a point indicated by the projection equipment to obtain a backfat ultrasonic image, and a backfat value and an eye muscle thickness value are read; data is transmitted to the cloud server through the controller, so that information management is facilitated; according to the invention, the ear tag number, the body weight, the body length, the body width and the body height can be obtained simultaneously, the measurement of the backfat value and the eye muscle thickness value of the boar can be assisted, errors caused by human factors can be reduced, the manual labor intensity is reduced, the measurement efficiency is high, and the accuracy of boar performance measurement is high.

The application provides a visual training method and equipment for a hand-brain-eye coordination training system, and relates to the technical field of visual training. The method comprises the following steps: in the case that a terminal device receives a visual training start instruction, the terminal device sends target position information to an eye muscle training device; the terminal device receives position selection information corresponding to the display position information; according to the position selection information, the terminal device obtains a selection duration, which is used to indicate the duration from the appearance of the target reference to the reception of the position selection information; according to at least one display position information, the position selection information corresponding to the display position information and the selection duration corresponding to the position selection information, the terminal device obtains a visual training result. Through the cooperation of the terminal device and the eye muscle training device, the reaction ability and coordination of the eyes are trained, and the interestingness and the stimulating nature of the visual training are increased, so that the user is more likely to persist in the training.

The present application relates to a kind of deep learning method based on SPECT / CT detection thyroid-related eye disease activity, including two stages of eye muscle segmentation stage and activity staging classification, in the eye muscle segmentation stage, first, the CT image of eye is three-dimensional reconstruction, and training eye muscle semantic segmentation model, finally using the eye muscle segmentation model of well-trained in test set eye muscle mask;In the classification stage of judging whether thyroid-related eye disease is in active period, three-channel data are formed by using eye muscle mask, SPECT and CT image, and three-channel data are used to train classification model, SPECT / CT image and the eye muscle mask of patient are combined into three-channel image and input into classification model, and finally the activity of thyroid-related eye disease is output by the trained classification model.Through the deep learning method of two stages, the activity of thyroid-related eye disease is automatically classified.

The embodiment of the invention provides a vehicle-mounted display screen angle adjusting method and related equipment, and belongs to the technical field of vehicle electronics. Linkage control over the angle of the display screen and the posture of the seat is achieved, the controller can automatically sense the change of the angle of the seat and calculate the optimal angle of the display screen in real time for adjustment, no manual intervention of passengers is needed, and good comfortable experience is provided for the passengers in the back row. Meanwhile, according to the scheme of the embodiment, the watching visual angle is dynamically maintained within the comfortable visual angle interval, neck fatigue, eye muscle tension and image recognition difficulty caused by improper visual angles are effectively reduced, and the visual comfort of long-time riding is remarkably improved.

1. The name of the design product: mobile phone protective shell. 2. The use of the design product: a mobile phone protective shell that can relieve eye muscle fatigue. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view.

The present application discloses a technical field of pig eye muscle area, specifically a molecular marker associated with pig eye muscle area. The molecular marker includes a nucleotide sequence formed by a single nucleotide polymorphism A / G at position 3593429 of chromosome 10 of the International Porcine Reference Genome 11.1. The SNP marker provided in the present application is significantly correlated with the eye muscle area of ​​Large White pig muscle. By identifying the SNP marker, Large White pig strains with large eye muscle area can be screened. The resulting Large White pig strains with large eye muscle area have important economic benefits, edible value, and social value.