CN114374824A - ICU monitoring method and system based on mobile communication - Google Patents
ICU monitoring method and system based on mobile communication Download PDFInfo
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- CN114374824A CN114374824A CN202210043650.9A CN202210043650A CN114374824A CN 114374824 A CN114374824 A CN 114374824A CN 202210043650 A CN202210043650 A CN 202210043650A CN 114374824 A CN114374824 A CN 114374824A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000010295 mobile communication Methods 0.000 title claims abstract description 19
- 238000012806 monitoring device Methods 0.000 claims description 18
- 230000003993 interaction Effects 0.000 claims description 6
- 238000009434 installation Methods 0.000 description 14
- 238000012549 training Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 4
- 238000010801 machine learning Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The application discloses an ICU monitoring method and system based on mobile communication, wherein the method comprises the steps that client software acquires multimedia information monitored by video monitoring equipment arranged in an ICU ward; the client software determines a first time of the multimedia information; the client software acquires the parameters of the patient monitored by the patient parameter monitoring equipment; the client software determines a second time corresponding to the parameter; the client software sends the first time and the multimedia information of the multimedia information and the parameters and the second time to the server software, wherein the first time and the second time are used for establishing the relation between the multimedia information and the parameters. The method and the device solve the problem caused by the fact that the monitored contents of the parameter monitoring equipment and the video monitoring equipment are not mutually associated in the prior art, thereby establishing the association between the two types of parameters and playing a greater role in monitoring.
Description
Technical Field
The present application relates to the field of data monitoring and transmission, and in particular, to an ICU monitoring method and system based on mobile communication.
Background
In the prior art, a video monitoring device is basically arranged in an ICU ward to monitor the condition in the ICU ward. Meanwhile, the ICU ward also has monitoring equipment for patient parameters, but the parameters monitored by the parameter monitoring equipment are not related to the data monitored by the video equipment.
The inventors have found that monitoring can play a greater role if correlation between these data can be provided.
Disclosure of Invention
The embodiment of the application provides an ICU monitoring method and system based on mobile communication, which at least solve the problem caused by the fact that the monitored contents of a parameter monitoring device and a video monitoring device are not related to each other in the prior art.
According to one aspect of the application, an ICU monitoring method based on mobile communication is provided, which is applied to software, the software includes client software and server software, the client software is installed on an intelligent terminal, and the intelligent terminal performs data interaction with the server software through a mobile communication network, and the method includes: the client software acquires multimedia information monitored by video monitoring equipment arranged in an ICU ward; the client software determines a first time of the multimedia information, wherein the first time is embedded in key frames of the multimedia information, and each key frame corresponds to a time point; the client software acquires the parameters of the patient monitored by the patient parameter monitoring equipment; the client software determines second time corresponding to the parameters, wherein each parameter corresponds to second time measured by the parameter from the patient; and the client software sends the first time of the multimedia information, the parameter and the second time to the server software, wherein the first time and the second time are used for establishing the relation between the multimedia information and the parameter.
Further, still include: the server software receiving the multimedia information, the first time, the parameter, and the second time; and the server software establishes a relation between the multimedia information corresponding to the same time point in the first time and the second time and the parameter.
Further, still include: after the server software establishes the contact, the server software also sends the multimedia information and the parameters after the contact is established to a pre-configured user.
Further, the multimedia information is a video stream monitored by the video monitoring device.
Further, the parameter is a physiological parameter of the patient.
According to another aspect of the application, an ICU monitoring system based on mobile communication is further provided, which is applied to software, wherein the software includes client software and server software, the client software is installed on an intelligent terminal, the intelligent terminal performs data interaction with the server software through a mobile communication network, and the client software is used for acquiring multimedia information monitored by video monitoring equipment arranged in an ICU ward; the client software is used for determining a first time of the multimedia information, wherein the first time is embedded in key frames of the multimedia information, and each key frame corresponds to a time point; the client software is used for acquiring the parameters of the patient monitored by the patient parameter monitoring equipment; the client software is used for determining second time corresponding to the parameters, wherein each parameter corresponds to second time measured by the patient by the parameter; the client software is used for sending a first time of the multimedia information, the parameter and the second time to the server software, wherein the first time and the second time are used for establishing the relation between the multimedia information and the parameter.
Further, the server software is configured to receive the multimedia information, the first time, the parameter, and the second time; the server software is used for establishing the relation between the multimedia information corresponding to the same time point in the first time and the second time and the parameter.
Further, the server software is configured to, after establishing the contact, send the multimedia information and the parameters to a pre-configured user after establishing the contact.
Further, the multimedia information is a video stream monitored by the video monitoring device.
Further, the parameter is a physiological parameter of the patient.
In the embodiment of the application, the client software is adopted to obtain multimedia information monitored by video monitoring equipment arranged in an ICU ward; the client software determines a first time of the multimedia information, wherein the first time is embedded in key frames of the multimedia information, and each key frame corresponds to a time point; the client software acquires the parameters of the patient monitored by the patient parameter monitoring equipment; the client software determines second time corresponding to the parameters, wherein each parameter corresponds to second time measured by the parameter from the patient; and the client software sends the first time of the multimedia information, the parameter and the second time to the server software, wherein the first time and the second time are used for establishing the relation between the multimedia information and the parameter. The method and the device solve the problem caused by the fact that the monitored contents of the parameter monitoring equipment and the video monitoring equipment are not mutually associated in the prior art, thereby establishing the association between the two types of parameters and playing a greater role in monitoring.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of an ICU monitoring method based on mobile communication according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In this embodiment, an ICU monitoring method based on mobile communication is provided, and is applied to software, where the software includes client software and server software, the client software is installed on an intelligent terminal, and the intelligent terminal performs data interaction with the server software through a mobile communication network, and the method includes:
step S102, the client software acquires multimedia information monitored by video monitoring equipment arranged in an ICU ward;
step S104, the client software determines a first time of the multimedia information, wherein the first time is embedded in key frames of the multimedia information, and each key frame corresponds to a time point;
step S106, the client software obtains the parameters of the patient monitored by the patient parameter monitoring equipment;
step S108, the client software determines second time corresponding to the parameters, wherein each parameter corresponds to second time measured by the parameter from the patient;
step S110, the client software sends the first time of the multimedia information, the parameter and the second time to the server software, where the first time and the second time are used to establish a relationship between the multimedia information and the parameter.
The method solves the problem caused by the fact that the monitored contents of the parameter monitoring equipment and the video monitoring equipment are not mutually associated in the prior art, thereby establishing the association between the two types of parameters and playing a greater role in monitoring.
In this embodiment, the server software receives the multimedia information, the first time, the parameter, and the second time; and the server software establishes a relation between the multimedia information corresponding to the same time point in the first time and the second time and the parameter. Optionally, after the server software establishes the contact, the server software further sends the multimedia information and the parameters after establishing the contact to a preconfigured user. The multimedia information is a video stream monitored by the video monitoring equipment. The parameter is a physiological parameter of the patient.
As an optional embodiment, the client software compresses the picture, names the compressed package obtained by compression by using the identification information of the patient and the shooting time, and sends the named compressed package to the server software.
The server software determines a doctor corresponding to the patient according to the identification information of the patient carried in the compressed packet, acquires an encryption key of the doctor, encrypts the compressed packet by using the encryption key, and sends the encrypted compressed packet to the client software logged by the doctor.
As another optional implementation, the server software may take the video stream as a part of a video to be generated, where another part of the video to be generated shows a change in a parameter with time, generate a new video according to the video stream and the parameter, and send the new video to the client software that the doctor logs in. The transmission is still transmitted after being encrypted by using the compressed packet command mode and the encryption mode.
And when the server software takes the video stream as a part of the video to be generated, acquiring the number of patients included in the video stream, if the video stream also includes other patients except the patient corresponding to the parameter, clipping the video stream, and reserving the patient corresponding to the parameter in the clipped video stream.
In this embodiment, a method for installing a camera in an ICU is provided, where the method is implemented by the software, where the software includes client software and server software, and the following method may be implemented by the client software or the server software, or implemented by the client software and the server software in a matching manner:
step S202, system parameters of the video monitoring equipment to be installed are obtained, wherein the system parameters at least comprise: the monitoring range of the video monitoring equipment;
step S204, obtaining the space parameters of the preset space of the video monitoring equipment to be installed, wherein the space parameters comprise: abstracting the space into a three-dimensional model, wherein the length of each side, the position relation of each side and the included angle between adjacent sides of the three-dimensional model are the same, and the predetermined space is an ICU ward;
optionally, when the stereoscopic model is irregular, the stereoscopic model is split into a plurality of regular stereos (for example, a cylinder, a cone, a cube, and the like), the spatial parameter of each regular stereoscopic is input to step S106, the number and the installation positions of the video monitoring devices used in the regular stereoscopic are obtained, and the number and the installation positions of the video monitoring devices used by all the regular stereoscopic are collected to obtain the number and the installation positions of the video monitoring devices of the stereoscopic model.
Step S206, inputting the system parameters and the space parameters into a pre-trained first model, wherein the first model is a neural network model and is obtained by using a plurality of groups of training data to be trained in advance; each training data set in the multiple training data sets comprises input data and output data, the input data represents data input into the first model, the output data represents data output by the first model, input data for training are system parameters of video monitoring equipment and space parameters of a space, output data for training are the number of the video monitoring equipment to be installed in the space and the position of each video monitoring equipment to be installed, which correspond to the input data, and the installed video monitoring equipment in the output data can cover all directions of the space;
wherein the training process comprises: the input data of the training data are the coverage range of the video monitoring equipment and the size of a space to be installed, the coverage range is abstracted into a three-dimensional space, the size of the three-dimensional space is calculated, the size of the space is divided by the size of the three-dimensional space to obtain the installation number, the first model is arranged in a plurality of installation modes in the space according to the installation number, the output data are known optimal arrangement modes, the first model matches a layout pattern closest to an optimal layout pattern in the output data from among a plurality of layout mounting patterns, the first model constructs a function according to the closest layout mode, the system parameters of the video monitoring equipment and the size of the space, the function is used for generating the position of each video monitoring device in the layout mode according to the system parameters of the video monitoring devices and the size of the space; the first model finds out a function corresponding to each group of training data according to the multiple groups of training data, and the first model obtains a common calculation mode and a parameter range of the multiple functions according to the multiple functions; the first model is trained after obtaining a calculation mode and a parameter range, and the model can be used; the first model is built by using a TensorFlow machine learning model framework; of course, other open source frameworks may be used for building, and those skilled in the art can write corresponding codes according to the corresponding frameworks after knowing the above calculation process.
In the above model, the technique of graphics is converted into vector calculation, so that it can be conveniently trained by using a machine learning model, and the following is a reference code of a neural network part implemented in TensorFlow:
step S208, obtaining output data from the first model, wherein the output data includes the number of the video monitoring devices installed in the predetermined space and the position of each video monitoring device in the stereo model;
step S210, marking the position of each video monitoring device in the three-dimensional model in a real image of the preset space, and displaying the marked image to an installer.
The installation position of the video monitoring equipment is determined in a machine learning mode through the steps, so that the problem of potential safety hazards caused by the fact that the installation position of the video monitoring equipment is determined by the experience of installation personnel in the related technology is solved, and the safety is improved to a certain extent.
The embodiment may also be used to check whether the position of the video monitoring apparatus installed by the installer is correct, and after displaying the marked image to the installer, the method may further include: after the installer finishes installing at the mark position of the preset space, receiving the click of the installer on the mark, and prompting the installer to upload the installed picture; receiving the field pictures uploaded by the installer after the camera is installed; and comparing the field picture with the real image of the preset space to determine the correctness of the installation position of the field picture.
In order to enable an installer to recognize which video monitoring devices are installed and which are not installed, after the installation position of the field picture is determined to be correct, the mark of the video monitoring device on the real image of the predetermined space is modified to be installed, and installation completion time is displayed, wherein the installation completion time is the time for the installer to upload the field picture.
There are many ways to determine whether the installation position is correct, and in this embodiment, a screenshot comparison method is adopted. Namely, the comparison between the live picture and the real image of the predetermined space comprises the following steps: acquiring a real image in the predetermined space to obtain a position where the video monitoring device is installed; intercepting images of the periphery of the video monitoring equipment in a preset range according to the acquired position and the preset range; and comparing the live picture with the captured image.
The comparison can be performed in a machine learning manner. Comparing the live picture to the captured image includes: inputting the live picture and the captured image into a second model for comparison, wherein the second model is a neural network model and is obtained by using a second plurality of groups of training data for training in advance; each of the second plurality of sets of training data includes input data and output data, the input data represents data input into the second model, the output data represents data output by the second model, the input data for training is two pictures, and the output data for training is whether the two pictures are label information of the same building part.
In this embodiment, an electronic device is provided, comprising a memory in which a computer program is stored and a processor configured to run the computer program to perform the method in the above embodiments. The above methods can be used in non-disease diagnosis and treatment.
The programs described above may be run on a processor or may also be stored in memory (or referred to as computer-readable media), which includes both non-transitory and non-transitory, removable and non-removable media, that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media 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 memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks, and corresponding steps may be implemented by different modules.
Such an apparatus or system is provided in this embodiment. The system is called as an ICU monitoring system based on mobile communication, and is applied to software, wherein the software comprises client software and server software, the client software is installed on an intelligent terminal, the intelligent terminal performs data interaction with the server software through a mobile communication network, and the client software is used for acquiring multimedia information monitored by video monitoring equipment arranged in an ICU ward; the client software is used for determining a first time of the multimedia information, wherein the first time is embedded in key frames of the multimedia information, and each key frame corresponds to a time point; the client software is used for acquiring the parameters of the patient monitored by the patient parameter monitoring equipment; the client software is used for determining second time corresponding to the parameters, wherein each parameter corresponds to second time measured by the patient by the parameter; the client software is used for sending a first time of the multimedia information, the parameter and the second time to the server software, wherein the first time and the second time are used for establishing the relation between the multimedia information and the parameter.
The system or the apparatus is used for implementing the functions of the method in the foregoing embodiments, and each module in the system or the apparatus corresponds to each step in the method, which has been described in the method and is not described herein again.
For example, the server software is configured to receive the multimedia information, the first time, the parameter, and the second time; the server software is used for establishing the relation between the multimedia information corresponding to the same time point in the first time and the second time and the parameter.
For another example, the server software is configured to, after establishing the contact, send the multimedia information and the parameters to a pre-configured user after establishing the contact.
In this embodiment, an ICU monitoring method and system based on mobile communication are provided: and sending the parameters and the real-time images of the ICU equipment to a server, sending the parameters and the real-time images to a doctor by the server through 5G, and judging the condition in the ICU by the doctor according to the parameters and the real-time images and responding in time.
The embodiment solves the problem caused by the fact that the monitored contents of the parameter monitoring equipment and the video monitoring equipment are not mutually associated in the prior art, thereby establishing the association between the two types of parameters and playing a greater role in monitoring.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An ICU monitoring method based on mobile communication is characterized in that the ICU monitoring method is applied to software, the software comprises client software and server software, the client software is installed on an intelligent terminal, and the intelligent terminal performs data interaction with the server software through a mobile communication network, and the method comprises the following steps:
the client software acquires multimedia information monitored by video monitoring equipment arranged in an ICU ward;
the client software determines a first time of the multimedia information, wherein the first time is embedded in key frames of the multimedia information, and each key frame corresponds to a time point;
the client software acquires the parameters of the patient monitored by the patient parameter monitoring equipment;
the client software determines second time corresponding to the parameters, wherein each parameter corresponds to second time measured by the parameter from the patient;
and the client software sends the first time of the multimedia information, the parameter and the second time to the server software, wherein the first time and the second time are used for establishing the relation between the multimedia information and the parameter.
2. The method of claim 1, further comprising:
the server software receiving the multimedia information, the first time, the parameter, and the second time;
and the server software establishes a relation between the multimedia information corresponding to the same time point in the first time and the second time and the parameter.
3. The method of claim 2, further comprising:
after the server software establishes the contact, the server software also sends the multimedia information and the parameters after the contact is established to a pre-configured user.
4. The method according to any one of claims 1 to 3, wherein the multimedia information is a video stream monitored by the video monitoring device.
5. The method of any one of claims 1 to 3, wherein the parameter is a physiological parameter of the patient.
6. An ICU monitoring system based on mobile communication is characterized in that the ICU monitoring system is applied to software, the software comprises client software and server software, the client software is installed on an intelligent terminal, the intelligent terminal performs data interaction with the server software through a mobile communication network,
the client software is used for acquiring multimedia information monitored by video monitoring equipment arranged in an ICU ward;
the client software is used for determining a first time of the multimedia information, wherein the first time is embedded in key frames of the multimedia information, and each key frame corresponds to a time point;
the client software is used for acquiring the parameters of the patient monitored by the patient parameter monitoring equipment;
the client software is used for determining second time corresponding to the parameters, wherein each parameter corresponds to second time measured by the patient by the parameter;
the client software is used for sending a first time of the multimedia information, the parameter and the second time to the server software, wherein the first time and the second time are used for establishing the relation between the multimedia information and the parameter.
7. The system of claim 6,
the server software is configured to receive the multimedia information, the first time, the parameter, and the second time;
the server software is used for establishing the relation between the multimedia information corresponding to the same time point in the first time and the second time and the parameter.
8. The system of claim 7,
the server software is used for sending the multimedia information and the parameters to a pre-configured user after the contact is established.
9. The system according to any one of claims 6 to 8, wherein the multimedia information is a video stream monitored by the video monitoring device.
10. The system of any one of claims 6 to 8, wherein the parameter is a physiological parameter of the patient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210043650.9A CN114374824A (en) | 2022-01-14 | 2022-01-14 | ICU monitoring method and system based on mobile communication |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210043650.9A CN114374824A (en) | 2022-01-14 | 2022-01-14 | ICU monitoring method and system based on mobile communication |
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| Publication Number | Publication Date |
|---|---|
| CN114374824A true CN114374824A (en) | 2022-04-19 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210043650.9A Withdrawn CN114374824A (en) | 2022-01-14 | 2022-01-14 | ICU monitoring method and system based on mobile communication |
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| Country | Link |
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| CN (1) | CN114374824A (en) |
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2022
- 2022-01-14 CN CN202210043650.9A patent/CN114374824A/en not_active Withdrawn
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