Portable intelligent diagnosis method and system for traumatic hemorrhage
The trauma bleeding situation is assessed in pre-hospital emergency through portable ultrasound detection devices and computer programs, and the problem of insufficient detection speed and accuracy in the prior art is solved, providing fast and accurate trauma bleeding judgment and mortality risk assessment.
Patent Information
- Application Number
- CN202510468578.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-15
- Publication Date
- 2025-06-27
AI Technical Summary
The prior art is difficult to quickly and accurately evaluate trauma bleeding in pre-hospital emergency, affecting first aid decision and patient safety.
A portable ultrasound detection device is used, combined with pre-hospital detection data, including ultrasound detection results, and the trauma bleeding judgment results and death risk of the subject to be diagnosed through a computer program.
It improves the speed and accuracy of trauma hemorrhage detection, provides a reliable judgment basis for pre-hospital emergency, and helps to promptly evaluate and respond to the patient's mortality risk.
Smart Images
Figure CN120203630A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of first aid technology, and particularly to a portable intelligent diagnosis method, device, electronic device and storage medium for traumatic bleeding. Background Art
[0002] Pre-hospital first aid refers to the emergency medical services provided before the patient arrives at the hospital, including on-site assessment, initial treatment and safe transportation. It is usually performed by professional first aid personnel such as emergency medical technicians (EMTs), nurses or doctors.
[0003] When conducting on-site assessment, the assessment of the bleeding situation is very important, and the required first aid can be determined based on the bleeding situation. Summary of the Invention
[0004] In view of this, the purpose of the present disclosure is to propose a portable intelligent diagnosis method, device, electronic device and storage medium for traumatic bleeding, and the present disclosure can specifically solve the existing problems.
[0005] Based on the above purpose, in the first aspect, the present disclosure proposes a portable intelligent diagnosis method for traumatic bleeding, which is applied to a portable ultrasonic detection device. The method includes: performing pre-hospital detection on the target position of the subject to be diagnosed to obtain pre-hospital detection data, where the pre-hospital detection includes ultrasonic detection, and the pre-hospital detection data includes the traumatic bleeding judgment result corresponding to the ultrasonic detection; determining the death risk of the subject to be diagnosed according to the pre-hospital detection data.
[0006] In the second aspect, a portable intelligent diagnosis device for traumatic bleeding is further provided, including: a detection unit configured to perform pre-hospital detection on the target position of the subject to be diagnosed to obtain pre-hospital detection data, where the pre-hospital detection includes ultrasonic detection, and the pre-hospital detection data includes the traumatic bleeding judgment result corresponding to the ultrasonic detection; a determination unit configured to determine the death risk of the subject to be diagnosed according to the pre-hospital detection data.
[0007] In the third aspect, an electronic device is further provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor runs the computer program to implement the method described in the first aspect.
[0008] In the fourth aspect, a computer-readable storage medium is further provided, on which a computer program is stored, and the computer program is executed by the processor to implement the method described in any item of the first aspect.
[0009] In the fifth aspect, a computer program product is further provided, including a computer program, and the computer program is executed by the processor to implement the method described in any item of the first aspect.
[0010] Generally speaking, the present disclosure has at least the following beneficial effects: applying the portable ultrasonic detection device to pre - hospital first aid can improve the detection speed and accuracy, thereby effectively detecting traumatic bleeding conditions and providing a basis for judging physical condition information such as death risk judgment. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] In the drawings, unless otherwise specified, the same reference numerals throughout the several views denote the same or similar components or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments disclosed in accordance with the present disclosure and should not be regarded as limiting the scope of the present disclosure.
[0012] Figure 1 Shows a flowchart of a portable traumatic bleeding intelligent diagnosis method according to an embodiment of the present disclosure; Figure 2 Shows a schematic diagram of a portable traumatic bleeding intelligent diagnosis device according to an embodiment of the present disclosure; Figure 3 Shows a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure; Figure 4 Shows a schematic diagram of a storage medium provided by an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0013] The present disclosure will be further described in detail below with reference to the drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the related invention and not to limit the invention. Additionally, it should be noted that for the sake of description, only parts related to the relevant invention are shown in the drawings.
[0014] It should be noted that, without conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the drawings and embodiments.
[0015] Figure 1 Shows the portable traumatic bleeding intelligent diagnosis method of the present disclosure. In the embodiments of the present disclosure, applied to a portable ultrasonic detection device, the method includes: Step S101, perform pre - hospital detection on the target position of the subject to be diagnosed to obtain pre - hospital detection data, where the pre - hospital detection includes ultrasonic detection, and the pre - hospital detection data includes the traumatic bleeding judgment result corresponding to the ultrasonic detection.
[0016] Step S102, determine the death risk of the subject to be diagnosed according to the pre - hospital detection data.
[0017] In this embodiment, the execution subject of the portable intelligent diagnosis method for traumatic bleeding (such as the above-mentioned portable ultrasonic detection device) can determine the judgment result of traumatic bleeding. Specifically, the judgment result of traumatic bleeding can be a qualitative judgment result, such as indicating bleeding or no bleeding. Or, the judgment result of traumatic bleeding can also be a quantitative judgment result, such as a judgment result indicating the degree of bleeding, with the degree of bleeding ranging from 0 indicating no bleeding, to 1 indicating the first bleeding level, i.e., minor bleeding, to 2 indicating the second bleeding level, i.e., moderate bleeding, to 3 indicating the third bleeding level, i.e., severe bleeding.
[0018] The pre-hospital detection data can include not only the judgment result of traumatic bleeding, but also other data such as heart rate, blood pressure, and so on.
[0019] This embodiment can apply the portable ultrasonic detection device to pre-hospital first aid, improve the speed and accuracy of detection, thereby effectively detecting the traumatic bleeding situation, and providing a judgment basis for physical state information such as death risk judgment.
[0020] In some optional implementation manners of any embodiment of the present disclosure, determining the death risk of the subject to be diagnosed according to the pre-hospital detection data includes: determining the mean and standard deviation for each item of the pre-hospital detection data; determining the standardized data of each item of the pre-hospital detection data according to the mean and the standard deviation; and determining the death risk of the subject to be diagnosed according to the standardized data.
[0021] In these optional implementation manners, for each item of the pre-hospital detection data, the mean and standard deviation of each sample can be determined. The above-mentioned execution subject can adopt various methods to determine the standardized data of each item of the pre-hospital detection data according to the mean and the standard deviation. For example, the above-mentioned execution subject can input the mean and the standard deviation into a preset formula or model, and the obtained result is the standardized data.
[0022] The above-mentioned execution subject can also adopt various methods to determine the death risk of the subject to be diagnosed according to the standardized data. For example, according to the mapping relationship between the standardized data and the death risk, determine the death risk corresponding to the standardized data.
[0023] Optionally, determining the standardized data of each item of the pre-hospital detection data according to the mean and the standard deviation includes: determining the difference between the pre-hospital detection data and the mean; determining the quotient of the difference and the standard deviation, and determining the standardized data of the pre-hospital detection data according to the quotient.
[0024] Specifically, the above-mentioned execution entity can determine the standardized data of the pre-hospital detection data in various ways. For example, after determining the quotient, the standardized data of the pre-hospital detection data can be determined according to the preset correspondence between the quotient and the standardized data.
[0025] In some application scenarios, the following formula can be used to determine the standardized data:
[0026] Among them, X is the pre-hospital detection data, that is, the input data, and the order is: gender (male 1, female -1), age, pre-hospital diastolic blood pressure, pre-hospital systolic blood pressure, pre-hospital pulse pressure, pre-hospital heart rate, pre-hospital respiratory rate, pre-hospital blood oxygen saturation, GCS total score, whether bleeding (0 no bleeding, 1 bleeding).
[0027] The pre-hospital detection of the target position of the subject to be diagnosed includes: performing at least two of the following detections on the target position of the subject to be diagnosed: cardiovascular detection, multimodal ultrasound detection, consciousness detection, attribute detection.
[0028] The value of the mean vector μ of each pre-hospital detection data can be: μ = [0.414033, 52.238529, 71.353865, 115.120157, 43.766292, 87.253526, 19.680771, 0.293162, 12.300304, 0.104803] The value of the standard deviation vector σ of each pre-hospital detection data can be: σ = [0.910262, 17.780774, 25.16159, 39.78054, 20.469795, 27.421401, 5.869515, 0.455212, 4.043658, 0.306299] Among them, gender and age can be the data input by the user.
[0029] Optionally, determining the death risk of the subject to be diagnosed according to the standardized data may include: weighting each standardized data according to the preset weight of each standardized data; determining the death risk value of the subject to be diagnosed according to the weighted result, and determining the death risk corresponding to the death risk value.
[0030]
[0031] Among them, X norm is the standardized data (row vector), ω is the weight corresponding to the standardized data (column vector), b is the intercept, y pred is the death risk value, ypred The larger it is, the more inclined the patient is to death, y pred The smaller it is, the more inclined the patient is to survival.
[0032] In some cases, determining the death risk value of the subject to be diagnosed according to the weighted result includes: determining the sum of the result of matrix multiplication and a preset intercept, and using the sum as the death risk value of the subject to be diagnosed.
[0033] Specifically, weighting the standardized data according to the preset weights of the standardized data includes: using the standardized data as a row vector, using the weights corresponding to the standardized data as column vectors, and performing matrix multiplication on the row vector and the column vectors to weight the standardized data.
[0034] In some optional implementation manners of any embodiment of the present disclosure, determining the death risk corresponding to the death risk value includes: comparing the magnitude relationship between the death risk value and a preset threshold; if the death risk value is greater than or equal to the preset threshold, determining that the subject to be diagnosed has died.
[0035] In some optional implementation manners of any embodiment of the present disclosure, the ultrasonic detection includes detecting at least one of the chest, abdomen, and neck of the subject to be judged.
[0036] The embodiment of the present disclosure provides a portable intelligent diagnosis device for traumatic bleeding. The device is used to execute the portable intelligent diagnosis method for traumatic bleeding described in the above embodiment, as Figure 2 shown. The device includes: a detection unit 201 configured to perform pre-hospital detection on a target position of a subject to be diagnosed to obtain pre-hospital detection data, where the pre-hospital detection includes ultrasonic detection, and the pre-hospital detection data includes a traumatic bleeding judgment result corresponding to the ultrasonic detection; a determination unit 202 configured to determine the death risk of the subject to be diagnosed according to the pre-hospital detection data.
[0037] The portable intelligent diagnosis device for traumatic bleeding provided in the above embodiment of the present disclosure and the portable intelligent diagnosis method for traumatic bleeding provided in the embodiment of the present disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run, or implemented by the application programs stored therein.
[0038] The embodiment of the present disclosure also provides an electronic device corresponding to the portable intelligent diagnosis method for traumatic bleeding provided in the foregoing embodiment to execute the above portable intelligent diagnosis method for traumatic bleeding. The embodiment of the present disclosure does not make any limitations.
[0039] Please refer to Figure 3, which shows a schematic diagram of an electronic device provided by some embodiments of the present disclosure. As Figure 3 shown, the electronic device 30 includes: a processor 300, a memory 301, a bus 302, and a communication interface 303. The processor 300, the communication interface 303, and the memory 301 are connected through the bus 302. A computer program that can run on the processor 300 is stored in the memory 301. When the processor 300 runs the computer program, it executes the method provided by any of the foregoing embodiments of the present disclosure.
[0040] Among them, the memory 301 may include a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory. Through at least one communication interface 303 (which can be wired or wireless), a communication connection is established between this system network element and at least one other network element, and the Internet, wide area network, local area network, metropolitan area network, etc. can be used.
[0041] The bus 302 can be an ISA bus, a PCI bus, an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. Among them, the memory 301 is used to store a program. After receiving an execution instruction, the processor 300 executes the program. The portable traumatic bleeding intelligent diagnosis method disclosed in any of the foregoing embodiments of the present disclosure can be applied to the processor 300 or implemented by the processor 300.
[0042] The processor 300 may be an integrated circuit chip with the ability to process signals. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in the processor 300 or the instructions in the form of software. The above-mentioned processor 300 may be a general-purpose processor, including a central processing unit (CPU for short), a network processor (NP for short), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present disclosure. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present disclosure can be directly embodied as being executed and completed by the hardware decoding processor, or executed and completed by a combination of the hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory 301, and the processor 300 reads the information in the memory 301 and combines its hardware to complete the steps of the above method.
[0043] The electronic device provided by the embodiments of the present disclosure and the portable traumatic bleeding intelligent diagnosis method provided by the embodiments of the present disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run, or implemented by it.
[0044] The embodiments of the present disclosure also provide a computer-readable storage medium corresponding to the portable traumatic bleeding intelligent diagnosis method provided in the foregoing embodiments. Please refer to Figure 4 , which shows that the computer-readable storage medium is an optical disc 40, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it will execute the portable traumatic bleeding intelligent diagnosis method provided in any of the foregoing embodiments.
[0045] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or other optical and magnetic storage media, which will not be elaborated here one by one.
[0046] The computer-readable storage medium provided by the above embodiments of the present disclosure and the portable trauma bleeding intelligent diagnosis method provided by the embodiments of the present disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run, or implemented by the application programs stored therein.
[0047] It should be noted that: In the above text, the term "including", "comprising", or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or device including a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or device. Without further limitation, an element defined by the phrase "including a..." does not exclude the presence of additional identical elements in the process, method, article, or device including that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present disclosure is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
[0048] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases, the former is a better implementation. Based on such an understanding, the technical solution of the present disclosure, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc) and includes several instructions for causing a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in various embodiments of the present disclosure.
[0049] The embodiments of the present disclosure have been described above in conjunction with the accompanying drawings, which are only specific embodiments of the present disclosure. However, the present disclosure is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present disclosure, without departing from the purpose of the present disclosure and the scope protected by the claims, those of ordinary skill in the art can still make many forms, all of which fall within the protection scope of the present disclosure.
Claims
1. A portable intelligent diagnostic method for traumatic bleeding, characterized in that: Applied to a portable ultrasonic detection device, the method comprises: Performing pre-hospital detection on the target position of the subject to be diagnosed to obtain pre-hospital detection data, wherein the pre-hospital detection includes ultrasonic detection, and the pre-hospital detection data includes a trauma bleeding judgment result corresponding to the ultrasonic detection; The death risk of the subject to be diagnosed is determined based on the pre-hospital test data.
2. The method according to claim 1, characterized in that Determining the risk of death of the subject to be diagnosed based on the pre-hospital test data includes: Determining a mean and a standard deviation for each item of pre-hospital test data; Determine standardized data for each pre-hospital test data based on the mean and standard deviation; The mortality risk of the subject to be diagnosed is determined based on the standardized data.
3. The method according to claim 2, characterized in that Determining standardized data of various pre-hospital test data based on the mean and standard deviation includes: determining the difference between the pre-hospital test data and the mean; The quotient of the difference and the standard deviation is determined, and based on the quotient, standardized data of the pre-hospital detection data is determined.
4. The method according to claim 2, characterized in that: Determining the mortality risk of the subject to be diagnosed according to the standardized data includes: Weighting each standardized data according to the preset weight of each standardized data; The death risk value of the subject to be diagnosed is determined according to the weighted result, and the death risk corresponding to the death risk value is determined.
5. The method according to claim 4, characterized in that The step of weighting each item of standardized data according to the preset weight of each item of standardized data includes: The items of standardized data are taken as row vectors, the weights corresponding to the items of standardized data are taken as column vectors, and matrix multiplication is performed on the row vector and the column vector to weight the items of standardized data.
6. The method according to claim 4, characterized in that Determining the death risk value of the subject to be diagnosed according to the weighted result includes: The sum of the result of the matrix multiplication and the preset intercept is determined, and the sum is used as the death risk value of the subject to be diagnosed.
7. The method according to claim 1, characterized in that The pre-hospital detection of the target position of the subject to be diagnosed includes: At least two of the following tests are performed on the target position of the subject to be diagnosed: cardiovascular test, multimodal ultrasound test, consciousness test, and attribute test.
8. The method according to claim 4, characterized in that Determining the mortality risk corresponding to the mortality risk value includes: Comparing the relationship between the death risk value and a preset threshold; If the death risk value is greater than or equal to the preset threshold, it is determined that the subject to be diagnosed is dead.
9. The method according to claim 1, characterized in that: The ultrasonic detection includes detecting at least one of the chest, abdomen and neck of the subject to be determined.
10. A portable intelligent diagnostic device for traumatic bleeding, characterized in that: include: A detection unit is configured to perform pre-hospital detection on a target position of a subject to be diagnosed to obtain pre-hospital detection data, wherein the pre-hospital detection includes ultrasonic detection, and the pre-hospital detection data includes a trauma bleeding judgment result corresponding to the ultrasonic detection; The determination unit is configured to determine the death risk of the subject to be diagnosed based on the pre-hospital detection data.