Sudden death risk detection method and device based on head and neck video of target person

Abstract

The invention discloses a sudden death risk detection method and device based on head and neck videos of a target person. The method comprises the following steps: acquiring a video dot matrix vibration image of the head and neck of the target person for a set time length through setting software and a camera of a detection system; performing data processing on the video dot matrix vibration image to obtain dot matrix vibration frequency data in the video dot matrix vibration image; comparing the obtained dot matrix vibration frequency data with a basic characteristic model library in a detection system, and outputting a comparison result; and generating a sudden death risk assessment report of the target person according to the comparison result. According to the method, the head and neck videos of the target person are collected and processed, the dot matrix vibration frequency data are obtained, and the sudden death risk assessment report of the target person is generated after comparison and analysis, so that the potential risk of the body of the target person can be directly and quickly assessed, and the purposes of early discovery, early intervention and treatment are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of risk detection, and in particular to a sudden death risk detection method and device based on a target person's head and neck video. Background Art

[0002] As the pace of society accelerates, people's lifestyles and dietary structures have changed. People usually work long hours, have high work pressure, often work overtime, lack exercise and rest time, have irregular diets, and unhealthy lifestyle habits such as smoking, alcoholism, and staying up late will increase the risk of sudden death such as cardiovascular disease. At the same time, modern society is highly competitive, and psychological pressure caused by economic pressure, work pressure, family pressure, etc. also increases the risk of sudden death. These factors may interact with each other, leading to an increase in the incidence of sudden death.

[0003] At present, there is no effective method to detect and assess a person's risk of sudden death, resulting in the failure to detect and treat sudden death in many people early.

[0004] Therefore, how to invent a method for detecting the risk of sudden death, discover the risk of sudden death early, and intervene and treat it has become an urgent problem to be solved. Summary of the invention

[0005] To this end, the present invention provides a sudden death risk detection method and device based on a target person's head and neck video. The method acquires dot matrix vibration frequency data by collecting and processing the target person's head and neck video, and generates a sudden death risk assessment report of the target person after comparative analysis, which can directly and quickly assess the target person's potential physical risk, thereby achieving the purpose of early detection, early intervention and treatment.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a sudden death risk detection method based on a target person's head and neck video, comprising:

[0007] The video dot matrix vibration image of the target person's head and neck for a set time is obtained through the setting software and camera of the detection system;

[0008] Performing data processing on the video dot matrix vibration image to obtain dot matrix vibration frequency data in the video dot matrix vibration image;

[0009] Comparing the obtained lattice vibration frequency data with the basic characteristic model library in the detection system, and outputting the comparison result;

[0010] A sudden death risk assessment report for the target person is generated based on the comparison results.

[0011] As a preferred scheme of a sudden death risk detection method based on a target person's head and neck video, in the process of obtaining the video dot matrix vibration image of the target person's head and neck of a set length, the target person's facial information is obtained through the setting software and camera of the detection system, and a number of basic points are set on the facial information to form the video dot matrix vibration image.

[0012] As a preferred solution of a sudden death risk detection method based on a target person's head and neck video, in the process of acquiring the dot matrix vibration frequency data, a dot matrix vibration frequency histogram is obtained based on the number and frequency of coordinate changes of the basic points on the facial information of the person within the set time length.

[0013] As a preferred scheme of a sudden death risk detection method based on a target person's head and neck video, in the process of comparing the acquired dot matrix vibration frequency data with the basic characteristic model library in the detection system, the horizontal coordinate value corresponding to the maximum peak grid in the dot matrix vibration frequency histogram network is compared with the median of the horizontal coordinate. If the horizontal coordinate value corresponding to the maximum peak grid is less than the median of the horizontal coordinate, it is judged that there is no sudden death risk; if the horizontal coordinate value corresponding to the maximum peak grid is not less than the median of the horizontal coordinate, it is judged that there may be a sudden death risk, and the risk score is calculated according to the set strategy.

[0014] As a preferred solution of a sudden death risk detection method based on a target person's head and neck video, the content of the sudden death risk assessment report includes whether there is a sudden death risk and a risk score.

[0015] The present invention also provides a sudden death risk detection device based on a target person's head and neck video, which adopts the above-mentioned sudden death risk detection method based on a target person's head and neck video, and comprises:

[0016] The video dot matrix vibration image acquisition module is used to acquire the video dot matrix vibration image of the target person's head and neck for a set time through the setting software and camera of the detection system;

[0017] A dot matrix vibration frequency data acquisition module, used for performing data processing on the video dot matrix vibration image to acquire dot matrix vibration frequency data in the video dot matrix vibration image;

[0018] A data comparison module, used to compare the acquired lattice vibration frequency data with the basic characteristic model library in the detection system, and output the comparison result;

[0019] A sudden death risk assessment report generating module is used to generate a sudden death risk assessment report of the target person according to the comparison result.

[0020] As a preferred solution of a sudden death risk detection device based on a target person's head and neck video, in the video dot matrix vibration image acquisition module, in the process of acquiring the video dot matrix vibration image of the target person's head and neck of a set length, the target person's facial information is acquired through the setting software and camera of the detection system, and a number of basic points are set on the facial information to form the video dot matrix vibration image.

[0021] As a preferred solution of a sudden death risk detection device based on a target person's head and neck video, in the dot matrix vibration frequency data acquisition module, in the process of acquiring the dot matrix vibration frequency data, a dot matrix vibration frequency histogram is obtained based on the number and frequency of coordinate changes of the basic points on the facial information of the person within the set time length.

[0022] As a preferred solution of a sudden death risk detection device based on a target person's head and neck video, in the data comparison module, in the process of comparing the acquired dot matrix vibration frequency data with the basic characteristic model library in the detection system, the horizontal coordinate value corresponding to the maximum peak grid in the dot matrix vibration frequency histogram network is compared with the median of the horizontal coordinate. If the horizontal coordinate value corresponding to the maximum peak grid is less than the median of the horizontal coordinate, it is judged that there is no sudden death risk; if the horizontal coordinate value corresponding to the maximum peak grid is not less than the median of the horizontal coordinate, it is judged that there may be a sudden death risk, and the risk score is calculated according to the set strategy.

[0023] As a preferred solution of a sudden death risk detection device based on a target person's head and neck video, in the sudden death risk assessment report generation module, the content of the sudden death risk assessment report includes whether there is a sudden death risk and a risk score.

[0024] The present invention has the following advantages: a video dot matrix vibration image of a target person's head and neck of a set time length is obtained through the setting software and camera of the detection system; in the process of obtaining the video dot matrix vibration image of the target person's head and neck of a set time length, the face information of the target person is obtained through the setting software and camera of the detection system, and a number of basic points are set on the face information to form the video dot matrix vibration image. Data processing is performed on the video dot matrix vibration image to obtain dot matrix vibration frequency data in the video dot matrix vibration image; in the process of obtaining the dot matrix vibration frequency data, a dot matrix vibration frequency histogram is obtained according to the number of coordinate changes and the change frequency of the basic points on the face information within the set time length. The obtained dot matrix vibration frequency data is compared with the basic trait model library in the detection system, and the comparison result is output; in the process of comparing the obtained dot matrix vibration frequency data with the basic trait model library in the detection system, the horizontal coordinate value corresponding to the maximum peak grid in the dot matrix vibration frequency histogram network is compared with the median of the horizontal coordinate. If the horizontal coordinate value corresponding to the maximum peak grid is less than the median of the horizontal coordinate, it is judged that there is no sudden death risk; if the horizontal coordinate value corresponding to the maximum peak grid is not less than the median of the horizontal coordinate, it is judged that there may be a sudden death risk, and the risk score is calculated according to the set strategy. A sudden death risk assessment report of the target person is generated according to the comparison result. The present invention acquires dot matrix vibration frequency data by collecting and processing the head and neck video of the target person, and generates a sudden death risk assessment report of the target person after comparative analysis, which can directly and quickly assess the potential physical risks of the target person, so as to achieve the purpose of early detection, early intervention and treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the drawings required for the implementation methods or the prior art descriptions are briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0026] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0027] Figure 1A schematic flow chart of a sudden death risk detection method based on a target person's head and neck video provided in Example 1 of the present invention;

[0028] Figure 2 A schematic diagram of the architecture of a sudden death risk detection device based on a target person's head and neck video provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0029] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Example 1

[0031] See also Figure 1 Embodiment 1 of the present invention provides a sudden death risk detection method based on a target person's head and neck video, comprising:

[0032] S1, obtaining a video dot matrix vibration image of the target person's head and neck for a set time through the setting software and camera of the detection system;

[0033] S2, performing data processing on the video dot matrix vibration image to obtain dot matrix vibration frequency data in the video dot matrix vibration image;

[0034] S3, comparing the obtained lattice vibration frequency data with the basic characteristic model library in the detection system, and outputting the comparison result;

[0035] S4. Generate a sudden death risk assessment report for the target person based on the comparison results.

[0036] In this embodiment, in step S1, in the process of obtaining the video dot matrix vibration image of the target person's head and neck of a set length, the facial information of the target person is obtained through the setting software and camera of the detection system, and a number of basic points are set on the facial information to form the video dot matrix vibration image.

[0037] Specifically, the set time is set to 30 seconds, and the facial information of the face is recognized through software and camera, and basic points (X, Y) are marked, for example, n basic points are marked, namely (X0, Y0), (X1, Y1), (X2, Y2), (X3, Y3)...(Xn, Yn).

[0038] In this embodiment, in step S2, in the process of acquiring the dot matrix vibration frequency data, a dot matrix vibration frequency histogram is obtained based on the number of coordinate changes and the change frequency of the basic points on the facial information of the human face within the set time length.

[0039] Specifically, within a set time of 30 seconds, the number of coordinate changes of several basic points is set to i, and the change frequency is set to f, that is, the coordinate change frequency is f=i / 30; n f's will be obtained; the minimum value a and the maximum value b of f are taken, and the interval is set to [a,b] and divided into p small intervals, and a frequency histogram is drawn and obtained.

[0040] In this embodiment, in step S3, in the process of comparing the acquired dot matrix vibration frequency data with the basic characteristic model library in the detection system, the horizontal coordinate value corresponding to the maximum peak grid in the dot matrix vibration frequency histogram network is compared with the median of the horizontal coordinate. If the horizontal coordinate value corresponding to the maximum peak grid is less than the median of the horizontal coordinate, it is judged that there is no risk of sudden death; if the horizontal coordinate value corresponding to the maximum peak grid is not less than the median of the horizontal coordinate, it is judged that there may be a risk of sudden death, and the risk score is calculated according to the set strategy.

[0041] Specifically, determine whether the horizontal coordinate value Xi of the maximum peak Yim of the frequency histogram of the target person is greater than or equal to the median value Xa of the horizontal coordinate. If Xi is greater than or equal to Xa, the next step of calculation will be performed and it will be determined that there may be a risk of sudden death. If Xi is less than Xa, it will not participate in the next step of calculation and it will be determined that there is no risk of sudden death.

[0042] If Xi is greater than or equal to Xa, then take all the horizontal and vertical coordinate parameters greater than or equal to Xa in the frequency histogram to obtain (Xi1, Yi1), (Xi2, Yi2)...(Xin, Yin), where Xi is the frequency f and Yi is the number i;

[0043] Perform log10 calculation on the horizontal and vertical coordinate parameters:

[0044] [log10(Xi1),log10(Yi1)],[log(Xi2),log10(Yi2)],…,[log10(Xin),log10(Yin)];

[0045] Multiply the horizontal and vertical coordinates by the specified coefficients in sequence and sum them up to get Score1:

[0046] Score1=log10(Xi1)*10+log10(Yi1)*10+log(Xi2)*1+log10(Yi2)*1+log10(Xi3)*0.5+log10(Yi3)*0.5+log10(Xi4)*0.2+log10(Yi4)*0.2+log10(Xi5)*0.1+log10(Yi5)*0.1+…+log10(Xin)*0.1+log10(Yin)*0.1;

[0047] Multiply Score1 by the coefficient 1.382 to get the final risk score Score:

[0048] Score = Score1 * 1.382.

[0049] In this embodiment, in step S4, the content of the sudden death risk assessment report includes whether there is a sudden death risk and the risk score.

[0050] Specifically, when it is judged that there is no risk of sudden death, the content of the sudden death risk assessment report only includes the judgment that there is no risk of sudden death;

[0051] When it is judged that there is a risk of sudden death, the content of the sudden death risk assessment report includes the judgment of the risk of sudden death and the corresponding risk score Score.

[0052] In summary, the present invention obtains a video dot matrix vibration image of a target person's head and neck for a set time through the setting software and camera of the detection system; in the process of obtaining the video dot matrix vibration image of the target person's head and neck for a set time, the face information of the target person is obtained through the setting software and camera of the detection system, and a number of basic points are set on the face information to form the video dot matrix vibration image. The video dot matrix vibration image is processed to obtain the dot matrix vibration frequency data in the video dot matrix vibration image; in the process of obtaining the dot matrix vibration frequency data, the dot matrix vibration frequency histogram is obtained according to the number of coordinate changes and the change frequency of the basic points on the face information within the set time. The obtained dot matrix vibration frequency data is compared with the basic trait model library in the detection system, and the comparison result is output; in the process of comparing the obtained dot matrix vibration frequency data with the basic trait model library in the detection system, the horizontal coordinate value corresponding to the maximum peak grid in the dot matrix vibration frequency histogram network is compared with the median of the horizontal coordinate. If the horizontal coordinate value corresponding to the maximum peak grid is less than the median of the horizontal coordinate, it is judged that there is no sudden death risk; if the horizontal coordinate value corresponding to the maximum peak grid is not less than the median of the horizontal coordinate, it is judged that there may be a sudden death risk, and the risk score is calculated according to the set strategy. A sudden death risk assessment report of the target person is generated according to the comparison result. The present invention acquires dot matrix vibration frequency data by collecting and processing the head and neck video of the target person, and generates a sudden death risk assessment report of the target person after comparative analysis, which can directly and quickly assess the potential physical risks of the target person, so as to achieve the purpose of early detection, early intervention and treatment.

[0053] It should be noted that the method of the embodiment of the present disclosure can be performed by a single device, such as a computer or a server. The method of the present embodiment can also be applied in a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present disclosure, and the multiple devices will interact with each other to complete the described method.

[0054] It should be noted that the above describes some embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0055] Example 2

[0056] See also Figure 2 Embodiment 2 of the present invention provides a sudden death risk detection device based on a target person's head and neck video, comprising:

[0057] The video dot matrix vibration image acquisition module 001 is used to acquire the video dot matrix vibration image of the target person's head and neck for a set time through the setting software and camera of the detection system;

[0058] The dot matrix vibration frequency data acquisition module 002 is used to process the video dot matrix vibration image to acquire the dot matrix vibration frequency data in the video dot matrix vibration image;

[0059] The data comparison module 003 is used to compare the obtained dot matrix vibration frequency data with the basic characteristic model library in the detection system and output the comparison result;

[0060] The sudden death risk assessment report generating module 004 is used to generate a sudden death risk assessment report of the target person according to the comparison result.

[0061] In this embodiment, in the video dot matrix vibration image acquisition module 001, in the process of acquiring the video dot matrix vibration image of the target person's head and neck of a set length, the facial information of the target person is acquired through the setting software and camera of the detection system, and a number of basic points are set on the facial information to form the video dot matrix vibration image.

[0062] In this embodiment, in the dot matrix vibration frequency data acquisition module 002, in the process of acquiring the dot matrix vibration frequency data, a dot matrix vibration frequency histogram is obtained according to the number of coordinate changes and the change frequency of the basic points on the facial information of the human face within the set time length.

[0063] In this embodiment, in the data comparison module 003, in the process of comparing the acquired dot matrix vibration frequency data with the basic characteristic model library in the detection system, the horizontal coordinate value corresponding to the maximum peak grid in the dot matrix vibration frequency histogram network is compared with the median of the horizontal coordinate. If the horizontal coordinate value corresponding to the maximum peak grid is less than the median of the horizontal coordinate, it is judged that there is no risk of sudden death; if the horizontal coordinate value corresponding to the maximum peak grid is not less than the median of the horizontal coordinate, it is judged that there may be a risk of sudden death, and the risk score is calculated according to the set strategy.

[0064] In this embodiment, in the sudden death risk assessment report generating module 004, the content of the sudden death risk assessment report includes whether there is a sudden death risk and a risk score.

[0065] It should be noted that the information interaction, execution process, etc. between the modules / units of the above-mentioned system are based on the same concept as the method embodiment in Example 1 of the present application, and the technical effects they bring are the same as those of the method embodiment of the present application. For specific contents, please refer to the description in the method embodiment shown in the previous part of the present application, and will not be repeated here.

[0066] Example 3

[0067] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium, in which a program code for a sudden death risk detection method based on a target person's head and neck video is stored. The program code includes instructions for executing embodiment 1 or any possible implementation thereof, a sudden death risk detection method based on a target person's head and neck video.

[0068] The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0069] Example 4

[0070] Embodiment 4 of the present invention provides an electronic device, including: a memory and a processor;

[0071] The processor and the memory communicate with each other via a bus; the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute a sudden death risk detection method based on a target person's head and neck video according to Example 1 or any possible implementation thereof.

[0072] Specifically, the processor can be implemented by hardware or by software. When implemented by hardware, the processor can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor can be a general-purpose processor implemented by reading software codes stored in a memory. The memory can be integrated in the processor or can be located outside the processor and exist independently.

[0073] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from a computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital destination line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website, computer, server or data center.

[0074] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0075] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A sudden death risk detection method based on a target person's head and neck video, characterized in that: include: Through the setting software and camera of the detection system, a video dot matrix vibration image of the target person's head and neck of a set length of time is obtained; Performing data processing on the video dot matrix vibration image to obtain dot matrix vibration frequency data in the video dot matrix vibration image; Comparing the obtained lattice vibration frequency data with the basic characteristic model library in the detection system, and outputting the comparison result; A sudden death risk assessment report for the target person is generated based on the comparison results.

2. The method for detecting sudden death risk based on a target person's head and neck video according to claim 1, characterized in that: In the process of obtaining the video dot matrix vibration image of the target person's head and neck of a set length, the facial information of the target person is obtained through the setting software and camera of the detection system, and a number of basic points are set on the facial information to form the video dot matrix vibration image.

3. The method for detecting sudden death risk based on a target person's head and neck video according to claim 2, characterized in that: In the process of acquiring the dot matrix vibration frequency data, a dot matrix vibration frequency histogram is obtained according to the number of coordinate changes and the change frequency of the basic points on the facial information of the human face within the set time period.

4. The method for detecting sudden death risk based on a target person's head and neck video according to claim 3, characterized in that: In the process of comparing the acquired dot matrix vibration frequency data with the basic characteristic model library in the detection system, the horizontal coordinate value corresponding to the maximum peak grid in the dot matrix vibration frequency histogram network is compared with the median of the horizontal coordinate. If the horizontal coordinate value corresponding to the maximum peak grid is less than the median of the horizontal coordinate, it is judged that there is no risk of sudden death; if the horizontal coordinate value corresponding to the maximum peak grid is not less than the median of the horizontal coordinate, it is judged that there may be a risk of sudden death, and the risk score is calculated according to the set strategy.

5. The method for detecting sudden death risk based on a target person's head and neck video according to claim 4, characterized in that: The content of the sudden death risk assessment report includes whether there is a risk of sudden death and the risk score.

6. A sudden death risk detection device based on a target person's head and neck video, using the sudden death risk detection method based on a target person's head and neck video according to claims 1-5 above, characterized in that: include: The video dot matrix vibration image acquisition module is used to acquire the video dot matrix vibration image of the target person's head and neck for a set time through the setting software and camera of the detection system; A dot matrix vibration frequency data acquisition module, used for performing data processing on the video dot matrix vibration image to acquire dot matrix vibration frequency data in the video dot matrix vibration image; A data comparison module, used to compare the acquired lattice vibration frequency data with the basic characteristic model library in the detection system, and output the comparison result; A sudden death risk assessment report generating module is used to generate a sudden death risk assessment report of the target person according to the comparison result.

7. The sudden death risk detection device based on the target person's head and neck video according to claim 6 is characterized in that: In the video dot matrix vibration image acquisition module, in the process of acquiring the video dot matrix vibration image of the target person's head and neck of a set length, the facial information of the target person is acquired through the setting software and camera of the detection system, and a number of basic points are set on the facial information to form the video dot matrix vibration image.

8. The sudden death risk detection device based on the target person's head and neck video according to claim 7 is characterized in that: In the dot matrix vibration frequency data acquisition module, in the process of acquiring the dot matrix vibration frequency data, a dot matrix vibration frequency histogram is obtained according to the number of coordinate changes and the change frequency of the basic points on the facial information of the human face within the set time length.

9. The sudden death risk detection device based on the target person's head and neck video according to claim 8 is characterized in that: In the data comparison module, in the process of comparing the acquired dot matrix vibration frequency data with the basic characteristic model library in the detection system, the horizontal coordinate value corresponding to the maximum peak grid in the dot matrix vibration frequency histogram network is compared with the median of the horizontal coordinate. If the horizontal coordinate value corresponding to the maximum peak grid is less than the median of the horizontal coordinate, it is judged that there is no risk of sudden death; if the horizontal coordinate value corresponding to the maximum peak grid is not less than the median of the horizontal coordinate, it is judged that there may be a risk of sudden death, and the risk score is calculated according to the set strategy.

10. The sudden death risk detection device based on the target person's head and neck video according to claim 9, characterized in that: In the sudden death risk assessment report generating module, the content of the sudden death risk assessment report includes whether there is a sudden death risk and a risk score.

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