CN112603279B - Medical information intelligent sharing method and system - Google Patents
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- CN112603279B CN112603279B CN202110013381.7A CN202110013381A CN112603279B CN 112603279 B CN112603279 B CN 112603279B CN 202110013381 A CN202110013381 A CN 202110013381A CN 112603279 B CN112603279 B CN 112603279B
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Abstract
The application discloses a medical information intelligent sharing method and a system, wherein the method comprises the following steps: acquiring data in a heart monitor; acquiring skin current in the intelligent wearable device; the correspondence of the cardiac parameter and the skin current parameter at each point in time is established as a function of time, wherein the correspondence is stored in a database or displayed on a display. According to the method and the device, the problem that the physiological parameters of the user cannot be comprehensively evaluated due to the fact that the physiological parameters are obtained only by the monitoring device in the related technology is solved, the parameters capable of judging emotion are provided, and an auxiliary effect is played for judging fluctuation of the physiological parameters.
Description
Technical Field
The application relates to the field of medical information processing, in particular to a medical information intelligent sharing method and system.
Background
For some physiological parameter acquisitions, it is not possible to accurately judge if it is only dependent on the test results of a certain day in a hospital, for example, for the heart, in order to make a better judgment, it is generally necessary for the user to wear a heart monitor for 24 hours (or more) in daily life.
The heart monitoring device can monitor the heart parameters of a user comprehensively in real time through the detection of a 24-hour dynamic electrocardiogram.
The inventor finds that a human body is a complex system, the emotion of the human body has a very large influence on physical parameters of the human body, particularly the heart, and only the physiological parameters can be obtained by monitoring the human body through devices such as a heart monitor, and whether the change of the physiological parameters caused by emotion after a period of time cannot be known.
Disclosure of Invention
The application provides a medical information intelligent sharing method and system, and aims to solve the problem that in the related art, only monitoring equipment is used for obtaining physiological parameters of a user, and the cause of physiological parameter change cannot be comprehensively evaluated.
According to one aspect of the application, a medical information intelligent sharing method is provided, and comprises the following steps: acquiring data in a heart monitor, wherein the heart monitor is carried by a user for a preset time, and heart parameters corresponding to each time point of the user in the preset time are stored in the heart monitor; acquiring skin current in intelligent wearable equipment, wherein the intelligent wearable equipment is carried by the user for the preset time, the intelligent wearable equipment and the heart monitor are carried by the user at the same time, and skin current parameters corresponding to each time point of the user in the preset time are stored in the intelligent wearable equipment; the correspondence of the cardiac parameter and the skin current parameter at each point in time is established as a function of time, wherein the correspondence is stored in a database or displayed on a display.
Further, the predetermined time period is 24 hours, and each time point is every second.
Further, the method also comprises the following steps: before the user wears the heart monitor and the intelligent wearable device, the heart monitor and the intelligent wearable device are timed.
Further, clocking the heart monitor and the smart wearable device comprises: and sending a command to the heart monitor and the intelligent wearable device, wherein the command is used for indicating the heart monitor and the intelligent wearable device to use the time service of the Beidou satellite navigation system for time synchronization.
According to another aspect of the present application, there is also provided a medical information intelligent sharing system, including: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring data in a heart monitor, the heart monitor is carried by a user for a preset time, and the heart monitor stores heart parameters corresponding to each time point of the user in the preset time; the second obtaining module is used for obtaining skin current in the intelligent wearable device, wherein the intelligent wearable device is carried by the user for the preset time, the intelligent wearable device and the heart monitor are carried by the user at the same time, and skin current parameters corresponding to each time point of the user in the preset time are stored in the intelligent wearable device; and the establishing module is used for establishing the corresponding relation of the heart parameter and the skin current parameter at each time point according to the time, wherein the corresponding relation is stored in a database or displayed on a display.
Further, the predetermined time period is 24 hours, and each time point is every second.
Further, the method also comprises the following steps: and the time synchronization module is used for enabling the user to wear the heart monitor and before the intelligent wearable device, and performing time synchronization on the heart monitor and the intelligent wearable device.
Further, the time synchronization module is used for sending a command to the heart monitor and the intelligent wearable device, wherein the command is used for indicating the heart monitor and the intelligent wearable device to use the time service of the Beidou satellite navigation system for time synchronization.
According to another aspect of the present application, there is also provided a memory for storing software for performing the above method.
According to another aspect of the present application, there is also provided a processor for executing software, wherein the software is configured to perform the above method.
The method comprises the following steps: acquiring data in a heart monitor, wherein the heart monitor is carried by a user for a preset time, and heart parameters corresponding to each time point of the user in the preset time are stored in the heart monitor; acquiring skin current in intelligent wearable equipment, wherein the intelligent wearable equipment is carried by the user for the preset time, the intelligent wearable equipment and the heart monitor are carried by the user at the same time, and skin current parameters corresponding to each time point of the user in the preset time are stored in the intelligent wearable equipment; the correspondence of the cardiac parameter and the skin current parameter at each point in time is established as a function of time, wherein the correspondence is stored in a database or displayed on a display. According to the method and the device, the problem that the physiological parameters of the user cannot be comprehensively evaluated due to the fact that the physiological parameters are obtained only by the monitoring device in the related technology is solved, the parameters capable of judging emotion are provided, and an auxiliary effect is played for judging fluctuation of the physiological parameters.
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 a medical information intelligent sharing method provided according to an embodiment of the present application.
Detailed Description
It should be noted that, in the present application, the embodiments and features of the embodiments 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.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the application herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions 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.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may 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.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
In the present embodiment, a medical information intelligent sharing method is provided, and fig. 1 is a flowchart of a medical information intelligent sharing method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, data in a heart monitor are obtained, wherein the heart monitor is carried by a user for a preset time, and heart parameters corresponding to each time point of the user in the preset time are stored in the heart monitor;
step S104, obtaining skin current in the intelligent wearable device, wherein the intelligent wearable device is carried by the user for the preset time, the intelligent wearable device and the heart monitor are carried by the user at the same time, and the skin current parameters corresponding to each time point of the user in the preset time are stored in the intelligent wearable device;
the galvanic skin response is called psychological galvanic reflex at the earliest time, but the term is not very exact, and the term galvanic skin response is generally adopted later. The mechanism is as follows: in emotional states, changes in the dilation and constriction of blood vessels in the skin and in sweat gland secretion can cause changes in the electrical resistance of the skin. The galvanic skin response instrument is used for measuring the emotional response of the autonomic nervous system. The traditional measuring method takes resistance as a quantitative unit and comprises two parts: the first part, the wheatstone bridge, is used to adjust the scaled resistors to zero to cancel the unknown (i.e., the baseline) resistance and then read the resistance from the scale of resistors; the second part is to connect an amplifier in series in a bridge to amplify the current change. On the basis of the novel galvanic skin response instrument, the novel galvanic skin response instrument develops towards miniaturization, lightness, sensitivity and accuracy.
As an optional embodiment that can be added, when the fluctuation of the skin current parameter exceeds a threshold value, the intelligent wearable device starts a recording and/or video recording function, records a time point when the recording and/or video recording function is started, and records after the recording and/or video recording function is started; and stopping the sound recording and/or video recording function after the skin current value returns to the normal range. And encrypting the recorded sound file or video file by a secret key preset on the intelligent wearable device by the user. This encryption measure may ensure the security of the document to a certain extent, and the user may tell a trusted person the key to view. The audio and/or video recording will also be marked according to the time information that the audio and/or video recording file exists for reference at the time point.
Step S106, establishing the corresponding relation of the heart parameter and the skin current parameter at each time point according to the time, wherein the corresponding relation is stored in a database or displayed on a display.
As another optional embodiment, the emotional change condition determined according to the skin current parameter may be expressed in a natural language and displayed at a corresponding time point or time period. The existing judging method can be used, and a better method is provided in the embodiment: in this way, data can be collected, for example, when the skin current parameter of the user sends a fluctuation, the user is reminded of the state of the fluctuation when the fluctuation occurs, and the state is described by an emotional word. This state is saved along with the user's age, sex, height and weight. When a certain amount of such data is accumulated, a model can be trained using machine learning, wherein the first model is trained using a plurality of sets of training data, each set of training data includes a correspondence between a first parameter and a second parameter, wherein the first parameter includes: skin current parameters, user's age, gender, height, weight; the second parameters include: emotional state described in natural language. After the training of the first model, which may be a practical application, the first parameter is input into the first model, the output of which is the emotional state described in the natural language.
As another alternative, if the recording or video recording function is turned on, the emotional state of the user's natural language description may be determined from the recording or video file using the second model. The determination may also be made using a model trained by machine learning. Training a model by using machine learning, wherein the second model is obtained by training a plurality of groups of second training data, each group of second training data comprises a corresponding relation between a first parameter and a second parameter, and the first parameter comprises: an audio file and/or a video file; the second parameters include: emotional state described by natural language. After training of the model, which may be a practical application, the first parameter is input into the model, the output of which is the emotional state described in the natural language.
Alternatively, the first model and the second model may be used simultaneously for determination, and if the first model and the second model are determined to be consistent, the emotional state of the time period is identified, and if the first model and the second model are determined to be inconsistent, the emotional state of the time period is identified using the recognition result of the first model.
As another optional embodiment that can be added, the heart monitor and the smart wearable device are connected with the mobile terminal of the user, and send the respective measured parameters to the mobile terminal according to a predetermined period (for example, every 5 minutes), and the mobile terminal stores the parameters. The mobile terminal judges whether the parameters received in the preset period are as follows: if the judgment result is negative, the mobile terminal sends the parameters in the period to the server, and the server can send the parameters to other users needing to know the parameters in real time when receiving the parameters.
Through the steps, the corresponding relation between the skin current parameter and the heart parameter is established, so that objective data is provided for judging whether the fluctuation of the heart parameter is caused by emotion.
Preferably, the predetermined period of time is 24 hours, and each time point is every second.
Preferably, the method may further include: before the user wears the heart monitor and the intelligent wearable device, the heart monitor and the intelligent wearable device are timed.
Preferably, the pairing the heart monitor and the smart wearable device comprises: and sending a command to the heart monitor and the intelligent wearable device, wherein the command is used for indicating the heart monitor and the intelligent wearable device to use the time service of the Beidou satellite navigation system for time synchronization.
In this embodiment, a system is further provided, where modules in the system correspond to the steps of the method, which have already been described in the above embodiments and are not described herein again.
The medical information intelligent sharing system provided by the embodiment comprises: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring data in a heart monitor, the heart monitor is carried by a user for a preset time, and the heart monitor stores heart parameters corresponding to each time point of the user in the preset time; the second obtaining module is used for obtaining skin current in the intelligent wearable device, wherein the intelligent wearable device is carried by the user for the preset time, the intelligent wearable device and the heart monitor are carried by the user at the same time, and skin current parameters corresponding to each time point of the user in the preset time are stored in the intelligent wearable device; and the establishing module is used for establishing the corresponding relation of the heart parameter and the skin current parameter at each time point according to the time, wherein the corresponding relation is stored in a database or displayed on a display.
Preferably, the predetermined period of time is 24 hours, and each time point is every second.
Preferably, the system may further include: and the time synchronization module is used for enabling the user to wear the heart monitor and before the intelligent wearable device, and performing time synchronization on the heart monitor and the intelligent wearable device.
Preferably, the time synchronization module is configured to send a command to the heart monitor and the intelligent wearable device, where the command is used to instruct the heart monitor and the intelligent wearable device to perform time synchronization using a time service of a beidou satellite navigation system.
In this embodiment, a memory is provided for storing software for performing the above-described method.
In this embodiment, a processor is provided for executing software for performing the above-described method.
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 here.
An embodiment of the present invention provides a storage medium, on which a program or software is stored, the program implementing the above method when executed by a processor. The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
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 to which the present application pertains. 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. A medical information intelligent sharing method is characterized by comprising the following steps:
acquiring data in a heart monitor, wherein the heart monitor is carried by a user for a preset time, and heart parameters corresponding to each time point of the user in the preset time are stored in the heart monitor;
acquiring skin current in intelligent wearable equipment, wherein the intelligent wearable equipment is carried by the user for the preset time, the intelligent wearable equipment and the heart monitor are carried by the user at the same time, and skin current parameters corresponding to each time point of the user in the preset time are stored in the intelligent wearable equipment;
establishing a corresponding relation between the heart parameter and the skin current parameter at each time point according to time, wherein the corresponding relation is stored in a database or displayed on a display; the emotion change condition judged according to the skin current parameter is used for natural language to express and display the emotion change condition at a corresponding time point or time period, wherein when the skin current parameter of a user sends A fluctuation, the user is made to remember the state when the A fluctuation occurs and describes the state by using an emotion word, the state is stored together with the age, sex, height and weight of the user, when data is accumulated to a certain amount, a model is trained by using a machine, the model is obtained by training by using multiple groups of training data, each group of training data comprises the corresponding relation of a first parameter and a second parameter, wherein the first parameter comprises: skin current parameters, user's age, gender, height, weight; the second parameters include: emotional state described in natural language; after the model is trained, the first parameter is input into the model, and the output of the model is the emotional state described by the natural language.
2. The method of claim 1, wherein the predetermined period of time is 24 hours and each time point is per second.
3. The method of claim 1 or 2, further comprising:
before the user wears the heart monitor and the intelligent wearable device, the heart monitor and the intelligent wearable device are timed.
4. The method of claim 3, wherein pairing the heart monitor and the smart wearable device comprises:
and sending a command to the heart monitor and the intelligent wearable device, wherein the command is used for indicating the heart monitor and the intelligent wearable device to use the time service of the Beidou satellite navigation system for time synchronization.
5. An intelligent medical information sharing system, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring data in a heart monitor, the heart monitor is carried by a user for a preset time, and the heart monitor stores heart parameters corresponding to each time point of the user in the preset time;
the second obtaining module is used for obtaining skin current in the intelligent wearable device, wherein the intelligent wearable device is carried by the user for the preset time, the intelligent wearable device and the heart monitor are carried by the user at the same time, and skin current parameters corresponding to each time point of the user in the preset time are stored in the intelligent wearable device;
the establishing module is used for establishing a corresponding relation between the heart parameter and the skin current parameter at each time point according to time, wherein the corresponding relation is stored in a database or displayed on a display; the emotion change condition judged according to the skin current parameter is used for natural language to express and display the emotion change condition at a corresponding time point or time period, wherein when the skin current parameter of a user sends A fluctuation, the user is made to remember the state when the A fluctuation occurs and describes the state by using an emotion word, the state is stored together with the age, sex, height and weight of the user, when data is accumulated to a certain amount, a model is trained by using a machine, the model is obtained by training by using multiple groups of training data, each group of training data comprises the corresponding relation of a first parameter and a second parameter, wherein the first parameter comprises: skin current parameters, age, gender, height, weight of the user; the second parameters include: emotional state described by natural language; after the model is trained, the first parameter is input into the model, and the output of the model is the emotional state described by the natural language.
6. The system of claim 5, wherein the predetermined time period is 24 hours and each time point is per second.
7. The system of claim 5 or 6, further comprising:
and the time synchronization module is used for synchronizing the time of the heart monitor and the intelligent wearable device before the heart monitor and the intelligent wearable device are worn by the user.
8. The system of claim 7,
the time synchronization module is used for sending a command to the heart monitor and the intelligent wearable device, wherein the command is used for indicating the heart monitor and the intelligent wearable device to use the time service of the Beidou satellite navigation system for time synchronization.
9. A memory for storing software, wherein the software is configured to perform the method of any one of claims 1 to 4.
10. A processor configured to execute software, wherein the software is configured to perform the method of any one of claims 1 to 4.
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| US20130317318A1 (en) * | 2012-05-25 | 2013-11-28 | Qualcomm Incorporated | Methods and devices for acquiring electrodermal activity |
| WO2014045243A1 (en) * | 2012-09-21 | 2014-03-27 | Tabrasco Sa | Cardiac activity monitor for archery |
| US9378655B2 (en) * | 2012-12-03 | 2016-06-28 | Qualcomm Incorporated | Associating user emotion with electronic media |
| US10285634B2 (en) * | 2015-07-08 | 2019-05-14 | Samsung Electronics Company, Ltd. | Emotion evaluation |
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