27 results about "Eye muscle" patented technology

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.

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 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.

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 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.

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 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.

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.

1. Name of the product in this design: Intelligent Eye Muscle Training Device (Multi-color LED Layout). 2. Purpose of this design: For training the ciliary muscles of the eye, including training for strabismus, amblyopia, and eye movement, i.e., eye sensitivity training. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. The rear view of Design 3 and Design 4 is the same as the rear view of Design 2, so the rear views of Design 3 and Design 4 are omitted; this product is a thin product, so the left view, right view, top view and bottom view of Design 3 and Design 4 are omitted. 6. Design 1 is designated as the basic design.

The application discloses an eye muscle training device based on dynamic light displacement, and relates to the technical field of vision training devices, which comprises a lamp cylinder, a lighting lamp head is arranged at the top of the lamp cylinder, an eye health screen is arranged at the front side of the lamp cylinder, a light supplementing module is arranged below the eye health screen, a lamp bead array is uniformly arranged in the eye health screen, and the lamp bead array comprises a plurality of lamp beads; a main control board is arranged in the lamp cylinder, a plurality of lighting control logics are arranged in the main control board, the main control board is electrically connected with the eye health screen, and is used for controlling the lamp beads in the eye health screen to work along corresponding lighting track training pictures according to any lighting control logic; and the main control device is electrically connected with the lighting lamp head and the light supplementing module. The application can realize the medical professional eye muscle training effect through the dynamic displacement of the eye health screen, can also create a low fatigue and comfortable reading and writing light environment for users, and has various overall functions and low structural cost.

This invention discloses a method, system, and device for estimating the area of ​​the eye muscles and the backfat thickness of live pigs based on deep learning. The method includes: acquiring and constructing a dataset of live pig ultrasound images; selecting regions of interest (ROIs) in the ultrasound images, preprocessing them, and standardizing the input size; inputting the preprocessed ultrasound images into a ReAMS-UNet neural network for semantic segmentation of the eye muscle region; filtering the image contours to remove false positives and false negatives in the segmentation results; determining the upper and lower boundaries of the backfat thickness through image binarization; calculating the eye muscle area and backfat thickness, and outputting the calculation results. Based on a large-scale, highly diverse dataset of pig ultrasound images, this invention utilizes ReAMS-UNet to integrate residual learning for stable training, a hybrid attention mechanism for adaptive feature optimization, multi-scale fusion for contextual and spatial information fusion, and auxiliary supervision for enhanced gradient propagation. It achieves high segmentation accuracy, fast inference speed, accurate trait estimation, and results that reflect true carcass traits. The process is automated and suitable for high-throughput analysis applications.

The invention discloses a multi-modal fusion method and system based on a cloud AI model and a brain-computer interface, relates to the technical field of intelligent wearable equipment, and aims to solve the technical problem that a brain-computer interface scheme in the aspect of mobile wearable equipment is lacked in the prior art. The method comprises the following steps: acquiring a brain wave signal and an eye muscle signal of a target user; the brain wave signals and the eye muscle signals are subjected to amplification processing and signal conversion processing and then are analyzed, so that the eyeball attention direction of the target user is judged; obtaining a view blind area range based on the eyeball attention direction and the view area of the target user; performing calculation based on the view blind area information and the moving speed and angle of the IMU to obtain target distance information, target range information and target area information; based on the target distance information, the target range information and the target area information, detecting obstacles in the view blind area range, and judging whether a target obstacle appears or not; and if yes, giving an alarm prompt.

1. Name of the product in this design: Handheld Eye Muscle Trainer (D4000). 2. Purpose of this design: This design is used for ophthalmic examination and vision training. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The utility model discloses a kind of eye extraocular muscle shortening precision positioning auxiliary suture forceps, it is related to medical instrument technical field, including lower tongs head (1), upper tongs head (2), tongs neck (3), shaft connection fixed buckle (4), shaft connection surface (5), tong leg (6), tong leg adjusting assembly (7) and tongs handle part (8);The bottom end of lower tongs head (1) and upper tongs head (2) is connected to be arranged on the upper end of tongs neck (3), the lower end of tongs neck (3) is connected with the upper end of tong leg (6), shaft connection surface (5) is set in the shaft part position of the upper end of tong leg (6), shaft connection fixed buckle (4) is fixed on shaft connection surface (5), two tong legs (6) are connected by shaft connection fixed buckle (4), the lower end of tong leg (6) is connected with tongs handle part (8), tong leg adjusting assembly (7) is set in the bottom of two tong legs (6).The suture forceps significantly improve the accuracy of new muscle insertion site positioning in eye extraocular muscle shortening surgery, and can also simplify the suture operation steps and reduce the difficulty of surgery.

The utility model provides an adjustable eye muscle pull hook relates to ophthalmic surgical instrument field, including screw rod, measuring tape and fixed in the screw rod's distraction assembly, the distraction assembly includes the screw cap fixed in screw rod one end and the adjustment knob of screw thread fixed on screw rod, still include the support frame fixed on the screw cap and the moving support of rotation fixed on the adjustment button, the moving support and support frame cross connection have two support rods, and the support rod is rotation fixed on the moving support and support frame respectively, the support rod bottom is equipped with the cross hook. With this, the manpower is lightened, and the stable fixing and accurate measurement are provided. With this, the problem that the operation is inconvenient and is not fixed firmly is avoided.

The invention discloses an Ai system for intelligently detecting pig backfat, eye muscle depth and eye muscle area, and relates to the technical field of livestock and poultry breeding detection. The device comprises a rack, a detection assembly, a positioning assembly and a control system, the rack is of a frame type structure, universal wheels with brake pads are arranged at the bottom, and a limiting and positioning mechanism is arranged at the front end. The detection assembly comprises a B ultrasonic host and a high-frequency ultrasonic probe; the positioning assembly comprises a height adjusting module, a front-back displacement module and a double-infrared distance meter; the control system is integrated in a B ultrasonic host, a PID adjusting algorithm and a data processing module are arranged in the control system, and automatic accurate positioning of a probe, ultrasonic data collection and error correction are achieved. Through collaborative innovation of a mechanical structure and an algorithm, a probe does not need to be held manually, the detection requirements of pigs of different varieties and different growth stages can be quickly met, the detection efficiency and the data accuracy are remarkably improved, meanwhile, data storage and export are supported, and reliable data support is provided for pig breeding and breeding.

The utility model relates to the field of eye medical instrument especially, and it is an auxiliary device of eye slit closing, including wearing frame, exciting component, detection component and power component. Wearing frame adopts ergonomics design, ensures that the device can be stably fixed on the head of user, even under long -time wearing also can keep comfortable. Exciting component through accurate positioning, direct action is in the eye muscle of functional abnormality, through non -invasive way stimulation its contraction, thereby effectively promotes the closing of eye slit. Detection component is responsible for real -time monitoring normal eye slit state, adjusts the working mode of exciting component, ensures that the abnormal eye palpebral fissure closes and keeps synchronization with healthy side. Exciting component is used for with proper voltage current stimulation eye muscle, to simulate the closing action of normal eye lid, effectively prevents exposure keratitis and other eye complications, all -round protection eye health.