An emergency system for eye trauma in battlefield environment

Abstract

The application relates to a first-aid system for eye injury in a battlefield environment, which comprises a first-aid eye cover and a discrimination device; the first-aid eye cover comprises an eye cover body and an elastic band, wherein the eye cover body comprises a rigid eye cover layer and a flexible eye cover layer which are tightly connected; the eye cover body is provided with a plurality of through holes, and a pressure relief unit is arranged in the through holes; when the internal pressure of the eye cover body exceeds 30mmHg, the pressure relief unit automatically opens to release pressure outward, the pressure is restored to 30mmHg, and the pressure relief unit cannot be reversely opened; the discrimination device comprises a camera and an edge processor; the processor is used for receiving images collected by the camera. The application is simple and portable, can provide safe protection for an injured eye in a field or battlefield environment, realizes complete coverage of the injured eye, avoids pollution and ejection / herniation of the contents of the eye, effectively releases pressure when the pressure in the flexible eye cover is increased due to bleeding and edema of tissues with the development of the injury, avoids ischemic necrosis of eye tissues and orbital apex syndrome caused by excessively high pressure or excessively tight bandaging, and discriminates the severity of the injury, thereby being convenient for subsequent treatment.

Description

TECHNICAL FIELD

[0001] The present invention belongs to the field of medical devices, and in particular, to an emergency system for ocular trauma. BACKGROUND

[0002] Field first aid refers to the initial rescue activities implemented on the scene for the wounded, also known as pre-hospital care, including medical personnel rescue and self-rescue of combatants, and is the starting point of hierarchical treatment. Good field first aid plays an important role in reducing mortality and disability rates and maintaining the combat effectiveness of the army.

[0003] In particular, eyeball rupture is the focus and difficulty of emergency treatment for ocular trauma, and occurs relatively high in daily traffic, accidents or wars. The eyeball wall tissue is ruptured, which can cause severe visual impairment, seriously affect vision, and even lead to blindness.

[0004] When ocular trauma occurs, the primary principle is to maintain the integrity of the eyeball and preserve the contents of the eye as much as possible. The injured eye must not be directly exposed to the external environment for a long time to provide conditions for further suture and repair of the wound by specialists. Otherwise, it will cause further loss of eyeball contents, intraocular infection, sympathetic ophthalmia, etc.

[0005] At present, the method commonly used at home and abroad, including the army and foreign armies, is to cover the injured eye with a piece of hard material with a convexity, such as plastic or metal, to provide conditions for specialist treatment after evacuation.

[0006] However, this equipment has the following outstanding problems: 1. Single size.

[0007] The eye patch is a unified standard, which not only cannot reflect individual differences according to different facial parts, but also cannot completely cover the eye patch when the eye contents are more out of place, and the swelling and bleeding are severe.

[0008] 2. Fixed pressure, cannot adapt to changes in injury.

[0009] The eye patch bandaging force is based on the initial injury of the wounded, but the time from the field or battlefield to the ambulance or even the specialist hospital may take a long time. In this process, the body will appear reactive edema or bleeding, resulting in increased tissue pressure. This fixed bandaging has little effect on general body tissue, and even can play a hemostatic role, while the eye tissue, especially the uvea, retina and optic nerve, is highly sensitive to ischemia and hypoxia. According to the past experience of battlefield treatment at home and abroad, the eyeball removal rate due to tissue necrosis is very high.

[0010] If a large size eye patch is used for the reserved space or the pressure of the bandage is reduced, the eye patch will be loose and affect the visual field of the healthy eye; more importantly, during the movement or transportation of the wounded, the contents of the eye will shake greatly due to the lack of moderate fixation, and the injury will be aggravated.

[0011] 3. Tissue herniation.

[0012] In order to avoid the aforementioned secondary increase in tissue pressure and cause iatrogenic injury, holes are reserved on the eye patch to relieve pressure.

[0013] However, since these holes are directly drilled on the hard eye patch, the tissue will be extruded through the holes.

[0014] On the one hand, small aperture herniation not only does not relieve pressure, but also aggravates the ischemia and hypoxia of the herniated tissue; large aperture herniation does not play a protective role for the injured eye.

[0015] On the other hand, the herniated tissue is directly or indirectly exposed to the air, which aggravates tissue drying and necrosis, and is not conducive to later treatment; at the same time, a large number of open holes will greatly increase the risk of infection in the field or battlefield environment.

[0016] In addition, different eye injury situations require different handling. If the eyeball is ruptured, it is urgent to maintain the integrity of the eyeball and preserve the contents of the eye as much as possible to avoid direct exposure of the injured eye to the external environment for a long time, so as to gain time and conditions for subsequent treatment.

[0017] Therefore, in the battlefield environment, it is necessary to quickly determine whether the eyeball is ruptured.

[0018] However, in the battlefield environment, professional personnel such as doctors sometimes cannot arrive at the scene in the first time, which will affect the rescue of the wounded.

[0019] If non-professionals can make injury judgments and bandaging through simple and easy-to-operate means, it will be very beneficial to the rescue and later rehabilitation of the wounded.

[0020] The prior art proposes to use a neural network to make injury judgments, but it requires complex algorithms and has high requirements for device computing power, configuration and resources, and is not suitable for battlefield environments; and it is not specifically for judging eyeball rupture, so the accuracy is also limited, which makes it impossible for non-professionals to operate.

[0021] Therefore, how to quickly determine whether the eyeball is ruptured and how to use a convenient device to quickly handle it are urgent problems to be solved. SUMMARY

[0022] To solve one or more of the above technical problems, the present application is proposed:

[0023] An emergency system for eye injury in battlefield environment, comprising an emergency eye cover and a discrimination device;

[0024] The emergency eye cover comprises an eye cover body and an elastic band, wherein the eye cover body comprises a rigid eye cover layer and a flexible eye cover layer which are tightly connected; the eye cover body has a plurality of through holes, and a pressure relief unit is arranged in each through hole; when the internal pressure of the eye cover body exceeds 30 mmHg, the pressure relief unit automatically opens to release pressure outward, and the pressure returns to 30 mmHg, and the pressure relief unit will not open reversely.

[0025] The discrimination device comprises a camera and an edge processor; the processor is used for receiving images collected by the camera and processing the images as follows:

[0026] (1) Observation correction of eyeball image: the original image is obtained by the camera , two initial threshold values are set, and , the above two threshold values are used for binary segmentation of the edge image , to obtain corresponding segmented images , ,edge response calculation is performed on the images , , to obtain corresponding edge responses , ; a local feature convolution map is calculated: ; wherein represents a position offset with as the center, , represents the side length of the convolution window, and the local feature convolution map is the observation correction of the original image .

[0027] (2) Feature map calculation according to the local feature convolution map: define a pixel coding vector as an eight-dimensional vector, and the initial value of each dimension of the coding vector at is 0; take an element in the local feature convolution map with as the center and an offset of , take the absolute value of the pixel difference value of the eight adjacent coding elements around the element, take the coding element with the maximum absolute value, and add 1 to the value of the corresponding coding vector dimension; after traversing all elements in the neighborhood with as the center, the coding vector at is obtained, and then the coding vectors at all positions are obtained, denoted as a feature map ; wherein, represents a coordinate, Indicates the dimension of the encoding vector;

[0028] (3) Establishing an eyeball rupture discrimination model for discrimination: The eyeball rupture discrimination model adopts a layered neural network model, and the output is a feature map , the output layer outputs the discrimination result.

[0029] The rigid eye mask layer is located outside the flexible eye mask layer and is connected to the flexible eye mask layer. The rigid eye mask layer is smaller in size than the flexible eye mask layer.

[0030] There are 4 to 6 decompression units, which communicate one-way from the inside of the flexible eye mask layer to the outside of the rigid eye mask layer.

[0031] The eye mask body is hemispherical.

[0032] The identification device further includes a communication unit for transmitting the identification result to the medical terminal.

[0033] The medical terminal is a medical individual processing system.

[0034] The communication unit also transmits medical requests, preliminary medical condition information, and location coordinate information.

[0035] The above discriminant model is trained and the cost function used is ;

[0036] in, is the category of the model output, is the training sample category.

[0037] A method for operating the first aid system in a battlefield environment uses a discrimination device to take a photo of the wounded. After the discrimination device recognizes that the eyeball is ruptured, it instructs the use of an emergency eye mask and sends a medical request, preliminary condition information, and location coordinate information to the medical individual processing system.

[0038] The discrimination device performs observation correction of the eyeball image, feature map calculation, and discrimination algorithm through the discrimination model.

[0039] The invention and technical effects of the present invention are as follows:

[0040] 1. The present invention combines rigid and flexible structures and adopts a pressure-reducing unit. Utilizing the fluidity and viscosity of eye ointment, the pressure is released outwards through the pressure-reducing unit to prevent tissue bleeding and edema that may occur after eye trauma. This allows the eye mask to remain fixed and airtight while the dressing pressure can be dynamically adjusted to maintain a preset stable level. Furthermore, since the contact area with the eye is a flexible structure, the present invention can also achieve individualized and tight application.

[0041] 2、The application realizes accurate extraction of data characteristics, reduces data volume, and ensures that the neural network model can be designed to be relatively lightweight to achieve the technical effect of accurate identification of eyeball rupture. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 A perspective view of an eye trauma first-aid eye cover of the application.

[0043] Figure 2 A front view of a pressure reduction unit of the application. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application.

[0045] Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0046] An eye trauma first-aid system for a battlefield environment mainly comprises a discrimination device and a first-aid eye cover.

[0047] The eye trauma first-aid eye cover comprises an eye cover body and an elastic band 4.

[0048] The eye cover body comprises two layers connected closely, an outer rigid eye cover layer 1 and an inner flexible eye cover layer 2.

[0049] The eye cover body is semispherical and has a plurality of through holes, and the through holes pass through the rigid eye cover layer 1 and the flexible eye cover layer 2.

[0050] A pressure reduction unit 3 is sealingly installed in the through hole, and the inside of the eye cover body is in one-way communication with the outside through the pressure reduction unit 3.

[0051] The rigid eye cover layer is located outside the flexible eye cover layer and connected thereto, and the size of the rigid eye cover layer is smaller than that of the flexible eye cover layer.

[0052] The elastic band 4 is fixed on both sides of the eye cover body, and is convenient for wearing on the head.

[0053] In use, the flexible eye patch is coated with eye ointment, and the eye patch is fixed on the head by the elastic band. When the pressure inside the eye patch exceeds 30 mmHg, the eye ointment in gel form is squeezed out of the eye patch body by the pressure relief unit. At this time, the pressure relief unit is automatically opened to achieve outward pressure relief due to the increase in the pressure of the eye ointment.

[0054] When the excess eye ointment is squeezed out of the eye patch body, the pressure inside the eye patch body is automatically reduced.

[0055] When the pressure returns to 30 mmHg, the eye ointment is no longer squeezed out of the eye patch body by the pressure relief unit, and at this time the pressure relief unit is automatically closed to achieve sealing due to the decrease in the pressure of the eye ointment, thereby preventing external air and debris from entering the eye patch body through the pressure relief unit, i.e., ensuring that the pressure relief unit will not be opened in reverse.

[0056] As a preferred embodiment, since the present application adopts a double-layer structure, the inner layer is a flexible eye patch layer, and the size of the inner layer is larger than that of the outer layer, so that after the eye ointment is completely overflowed, the elasticity of the inner layer and the tight combination with the eye ointment ensure that there is no "hollow" between the eye ointment and the inner layer, and the eye ointment is not excessively overflowed, or the amount of eye ointment in the eye patch body is insufficient when the pressure is reduced, thereby affecting the protection effect.

[0057] The number of pressure relief units is 4-6, which unidirectionally communicates the inside of the eye patch body to the outside of the eye patch body.

[0058] As an example, the pressure relief unit can include a cylinder 3-2, a cover 3-1, an elastic member 3-3, and a connecting shaft 3-4.

[0059] The connecting shaft is located at the middle of one end of the cylinder, and the left and right covers 3-1 are movably connected to the connecting shaft.

[0060] The connecting shaft is also connected to one end of the elastic member 3-3, and the other end of the elastic member 3-3 is connected to the inside of the cover 3-1.

[0061] When the internal pressure increases, the left and right covers 3-1 can be opened outward under the push of the internal pressure, and the elastic member generates an inward pulling force, such as Figure 2 The arrow in the middle is the overflow path of the eye ointment. When the internal pressure decreases and is less than the pulling force generated by the elastic member, the left and right covers 3-1 are pulled back to the end of the cylinder by the elastic member, thereby achieving sealing.

[0062] The radius of the left and right covers 3-1 is greater than the outer radius of the cylinder.

[0063] The elastic force of the elastic member can be set such that the cover is opened when the pressure is greater than 30 mmHg, and the cover is closed under the action of the elastic force when the pressure is less than 30 mmHg.

[0064] The use method is exemplified as follows: in a field or battlefield environment, an eye injury occurs to a wounded person, and in the absence of suitable rescue and medical conditions, the surrounding personnel can take photos by using the recorder worn by themselves, and the algorithm quickly identifies whether the eyeball is ruptured (the specific method will be described below).

[0065] If the system prompts that the eyeball is ruptured, the surrounding personnel can take out the eye cover, apply an excessive amount of tobramycin and dexamethasone eye ointment in the flexible eye cover (without careful consideration of the amount), and then cover the eye, use the elastic band to pass the head, and quickly wear the eye cover.

[0066] In this way, the injured eye can be completely covered, and contamination and evisceration / herniation of the eye contents can be avoided.

[0067] If the eye ointment is applied in excess, the pressure in the eye cover will be increased when it is worn, and thus the excess eye ointment will be automatically discharged from the pressure relief unit, so that the amount does not need to be carefully considered, and non-professionals can operate without much learning in an emergency.

[0068] As the injury progresses, bleeding and edema may occur in the tissue, and the pressure in the flexible eye cover increases. When the pressure exceeds 30 mmHg, the eye ointment is released outward through the pressure relief unit to relieve the pressure, thereby avoiding ischemic necrosis of the eye tissue and orbital apex syndrome due to excessive pressure or tight wrapping. Although the pressure of 30 mmHg is higher than the normal intraocular pressure of 21 mmHg, it does not cause obvious damage to the eye in a short period of time, but the relatively high pressure can to some extent play a role in hemostasis and preventing edema.

[0069] As a preferred embodiment, the first aid system can further include a discrimination device. Thus, it can assist in determining whether the eyeball is ruptured and whether the first aid eye cover needs to be immediately worn.

[0070] The discrimination device includes a camera and an edge processor.

[0071] The camera is used to photograph the eye injury and transmit the image to the processor.

[0072] The processor is used to receive the image and pre-process and identify the image, so as to determine whether the eye injury causes the eyeball to be ruptured.

[0073] The discrimination device can exist independently, such as a handheld terminal, a mobile phone, etc.; or the functions of the camera and the processor can be integrated in existing equipment, such as a recorder of a helmet, etc., that is, the equipment with the camera and the processor in the existing equipment is used to collect images and make discrimination, thereby realizing the above functions.

[0074] As a preferred, the discrimination device further comprises a communication unit, which can transmit the discrimination result to a medical terminal, for example, to a medical individual treatment system, so as to send a medical request, preliminary illness information, location coordinate information, etc. to a nearby medical individual, and guide the medical individual to come for treatment. In this way, after the emergency treatment by the non-professional personnel in the surrounding area, further professional treatment can be carried out.

[0075] As a further preferred, when transmitting, the communication unit first determines the nearest medical individual from the communication process with multiple medical individual treatment systems in the vicinity, and preferentially sends the above-mentioned request and information to the nearest medical individual treatment system.

[0076] As a preferred, the discrimination device further comprises a communication unit, which can transmit the discrimination result to a remote server, for example, a command center system, so that the command center knows the injury situation, and facilitates the allocation of medical resources for rescue and subsequent treatment.

[0077] The processor implements the following discrimination method:

[0078] Step 1: Observation correction and feature extraction method of eye image.

[0079] Collect high-definition images of the eye region to be diagnosed, with a resolution of 1024*1024 or above, and input the collected original images into the observation correction system of step 1 for processing.

[0080] The above-mentioned observation correction system corrects the original image according to the apparent observation of the image, so that the subsequent feature extraction process is more accurate, and the accuracy of eye rupture diagnosis is improved.

[0081] The original image is processed by the observation correction system. Edge detection is performed to obtain an edge image .

[0082] Two initial threshold values are set , , and , respectively, and the above two threshold values are used to perform binary segmentation on the edge image to obtain the corresponding segmented images , .

[0083] Taking a 256 gray scale image as an example, the preferred values , are set through experiments.

[0084] , are binary images. The edge response of , is tested respectively.

[0085] For example, the edge response test process is as follows.

[0086] Define the edge response function:

[0087] In the above formula, the edge parameters are , , , the convention is and takes an integer, the value of is less than half of the one-way size of the image and takes an integer, and , is the pixel coordinates of the image. is the response parameter.

[0088] According to the given edge parameters, test the response value of each pixel in the binary image to the edge.

[0089] That is, for a pixel with a value of 1 in the binary image, substitute its coordinates , into formula 1, and determine whether formula 1 is satisfied. If it is satisfied, it indicates that the pixel has a response, otherwise, it indicates that the pixel has no response.

[0090] For the currently given parameters, record the total number of pixels with a response.

[0091] For all parameter combinations in the value space of the edge parameters, calculate the total number of pixels with a response according to the above steps, and take the parameter combination with the most responses as the edge response parameters of the binary image.

[0092] At the same time, mark the corresponding pixels with a value of 1 in the binary image as the edge response of the binary image, denoted as .

[0093] Similarly, obtain the edge response corresponding to .

[0094] The edge response , is also a binary image.

[0095] According to the edge responses , , calculate the feature map of the original image .

[0096] First, calculate the local feature convolution map: ;

[0097] where represents the position offset centered on . ​​

[0098] , represents the side length of the convolution window.

[0099] The local feature convolution map is the observation correction of the original image .

[0100] Secondly, the feature map is calculated according to the local feature convolution map.

[0101] The feature map of the original image is defined as an image matrix with the same size as the original image, and the element at each coordinate is a vector related to the neighborhood of the corresponding coordinate of the original image.

[0102] The neighborhood side length mentioned above is equivalent to the convolution window defined in formula 2.

[0103] The pixel encoding vector is defined as an eight-dimensional vector, and the initial value of each dimension of the encoding vector at is 0.

[0104] Each dimension of the encoding vector represents the position of the encoding element relative to the reference element, and the encoding element is adjacent to the reference element.

[0105] Let the reference element coordinate be , then:

[0106] If the encoding element coordinate is , it corresponds to the first dimension of the encoding vector.

[0107] If the encoding element coordinate is , it corresponds to the second dimension of the encoding vector.

[0108] If the encoding element coordinate is , it corresponds to the third dimension of the encoding vector.

[0109] If the encoding element coordinate is , it corresponds to the fourth dimension of the encoding vector.

[0110] If the encoding element coordinate is , it corresponds to the fifth dimension of the encoding vector.

[0111] If the encoding element coordinate is , it corresponds to the sixth dimension of the encoding vector.

[0112] If the encoding element coordinate is , it corresponds to the seventh dimension of the encoding vector.

[0113] If the encoding element coordinate is , it corresponds to the eighth dimension of the encoding vector.

[0114] Take the element at in the convolution graph as the center, the offset is One element , take the element as the reference element, calculate the absolute value of the pixel difference value of the surrounding 8 adjacent encoding elements, take the encoding element with the maximum absolute value, and add one to the value corresponding to the encoding vector dimension.

[0115] After traversing all elements in the neighborhood centered at , the encoding vector at is obtained.

[0116] Further, obtain the encoding vector at all positions, denoted as feature map .

[0117] Where, represents the coordinates, represents the dimension of the encoding vector.

[0118] Step 2 establishes an eyeball rupture discrimination model for discrimination.

[0119] The discrimination model inputs the feature map obtained in step 1 to obtain a diagnostic result (rupture 1 / non-rupture-1).

[0120] The discrimination model is trained to obtain an effective output of the diagnostic result.

[0121] The discrimination model uses a hierarchical neural network model, and its hierarchical structure and calculation method are as follows.

[0122] First layer: ;

[0123] Where, is a two-dimensional convolution kernel, represents the relative offset coordinates of the convolution kernel, represents the coordinates in the image, is a linear bias, is the dimension of the aforementioned encoding vector.

[0124] is the activation function of the neural network. Defined as follows: ;

[0125] Where, is a control parameter used to balance the convergence speed and classification performance, and is preferred through experiments.

[0126] is the constant of the circular constant, represents the natural exponential function.

[0127] Compared with the classic sigmoid function, the above activation function can improve the calculation performance and classification performance of the model.

[0128] The second layer: ;

[0129] wherein, ;

[0130] In the above formula, , is a two-dimensional convolution kernel, but compared with reduce half the parameter amount, that is: ;

[0131] represents the relative offset coordinates of the convolution kernel, represents the coordinates in the image, is a linear bias, is the dimension of the aforementioned encoding vector.

[0132] is the activation function of the neural network (as above).

[0133] The second layer suppresses the parameter amount of the non-edge part by introducing the aforementioned edge response, highlights the modeling ability of the model to the edge part features, and improves the classification performance of the eyeball rupture observation.

[0134] The third layer: ;

[0135] This layer is a pooling layer, which enables the network to model multi-scale features and improve classification performance.

[0136] The fourth layer: ; wherein, ; in the above formula, , is a two-dimensional convolution kernel, but compared with reduce half the parameter amount, that is: ; represents the relative offset coordinates of the convolution kernel, represents the coordinates in the image, is a linear bias, is the dimension of the aforementioned encoding vector.

[0137] is the activation function of the neural network (as above).

[0138] The fourth layer is similar to the second layer, and considers the coordinates of the scaled convolution map when the edge is highlighted considering the scale after pooling.

[0139] The fifth layer: ;

[0140] The layer is a fully connected layer, represents the linear coefficient of full connection, is the corresponding linear bias.

[0141] The fully connected layer is mapped to an output vector , and the vector is defined as a 64-dimensional vector.

[0142] is an activation function (as above).

[0143] The sixth layer (output layer): ;

[0144] is the fully connected linear coefficient of the output layer, is the corresponding linear bias.

[0145] is an activation function (as above); the result of the eye rupture diagnosis is output, and when the sample is trained, corresponds to a sample without rupture, corresponds to a sample with rupture.

[0146] When identifying, when indicates that no rupture has occurred, indicates that a rupture has occurred.

[0147] Compared with the prior art, the model parameter quantity of the method is small after optimization, which is sufficient to complete learning and identification on an embedded or edge computing device, without the need to exchange data, samples, etc. with a background server, suitable for single machine use in the field, high in computing efficiency, and with considerable recognition accuracy.

[0148] The model is trained, and the cost function used is ;

[0149] wherein, is the category of the model output, is the category of the training sample.

[0150] The experimental results show that the behavior recognition rate is comparable to that of a classical comparable method, and the method can be deployed in a single machine edge computing environment, is high in computing efficiency, and is convenient for instant use in the field.

[0151] The above only describes the preferred embodiments of the present application, and it should be noted that for ordinary skilled persons in the art, several improvements and refinements can be made without departing from the principles of the present application, and these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A first aid system for eye injuries in battlefield environments, characterized by: Includes identification device and emergency goggles; The identification device includes a camera and an edge processor; the edge processor is used to receive images captured by the camera and perform the following processing on the images to determine whether the eye trauma has caused an eyeball rupture: (1) Observation correction of eyeball image: Implement edge detection to obtain edge images , set two initial thresholds 、 ,and , respectively, use the above two thresholds to measure the edge image Perform binary segmentation to obtain the corresponding image after segmentation 、 , for the image 、 Perform edge response calculations to obtain corresponding edge responses 、 , calculate the local feature convolution map as the original image Observation correction of (2) Calculate the feature map based on the local feature convolution map: define the pixel encoding vector as an eight-dimensional vector, The initial value of each dimension of the encoding vector at is 0; take the local feature convolution map with is the center and the offset is An element at , take this element as the reference element, calculate the absolute value of the pixel difference with its 8 adjacent coding elements, take the coding element with the largest absolute value, and add 1 to the value of the corresponding coding vector dimension; when traversing After all elements in the center neighborhood are The encoding vector at each position is obtained, and then the encoding vectors at all positions are obtained, which are recorded as feature maps ;in, Represents coordinates, Indicates the dimension of the encoding vector; (3) Establishing an eyeball rupture discrimination model for discrimination: The eyeball rupture discrimination model adopts a layered neural network model, the first layer of which is: ； in, is a two-dimensional convolution kernel, Represents the relative offset coordinates of the convolution kernel, represents the coordinates in the image, is the linear bias, is the activation function of the neural network; The second layer is: ； in, ； ； In the above formula, 、 is a two-dimensional convolution kernel, is a linear bias; The third layer is: ； In the above formula, is a linear bias; The fourth layer is: ； in, ； In the above formula, 、 is a two-dimensional convolution kernel, is a linear bias; The fifth layer is: ； represents the linear coefficient of full connection, is the corresponding linear bias; Pass through the output layer and finally output the discrimination result.

2. The emergency system according to claim 1, wherein: The emergency eye mask includes an eye mask body and an elastic band, wherein the eye mask body is hemispherical and includes a tightly connected rigid eye mask layer and a flexible eye mask layer, and the flexible eye mask layer is excessively coated with eye ointment; the eye mask body has multiple through holes, and a decompression unit is provided in the through holes. When the internal pressure of the eye mask body exceeds 30 mmHg, the decompression unit automatically opens to release pressure outward. When the pressure returns to 30 mmHg, the decompression unit will not open in the opposite direction.

3. The emergency system according to claim 2, wherein: The rigid eye mask layer is located outside the flexible eye mask layer and is connected to the flexible eye mask layer. The size of the rigid eye mask layer is smaller than that of the flexible eye mask layer.

4. The emergency system according to claim 2, wherein: There are 4 to 6 decompression units, which are in one-way communication from the inner side of the flexible eye mask layer to the outer side of the rigid eye mask layer.

5. The emergency system according to claim 2, wherein: The identification device further includes a communication unit, and the communication unit is used to transmit the identification result to the medical terminal.

6. The emergency system according to claim 5, wherein: The medical terminal is a medical individual processing system.

7. The emergency system according to claim 5, wherein: The communication unit also transmits medical requests, preliminary condition information, and location coordinate information.

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