Remote stroke early warning device and early warning method based on network medium

Abstract

The invention provides a remote stroke early warning device and early warning method based on a network medium. The remote stroke early warning device comprises a patient terminal, a server platform and a push terminal. The patient terminal comprises a portable collector for collecting, storing and transmitting health index data of a patient. And the server platform is used for receiving the patient health index data transmitted by the patient terminal and storing and identifying the patient health index data. And the push terminal is used for receiving the alarm information pushed by the push information setting module in the server platform and pushing the alarm information to a worker in time to respond to an exception handling mechanism. According to the remote stroke early warning device and early warning method based on the network medium provided by the invention, the health index parameters of the patient are monitored in real time, and the change of the health index parameters is early warned, so that the virtuous circle of real-time monitoring, early warning and timely intervention of the illness state is realized, and the occurrence of serious illness states is avoided.

Description

Technical Field

[0001] The present invention relates to the field of medical electronic technology, and in particular to a remote stroke early warning device and early warning method based on network media. Background Art

[0002] Stroke is also called apoplexy. Cerebral stroke has the characteristics of high morbidity, disability rate, recurrence rate and mortality rate. At present, the prevention of stroke follows a three-level prevention strategy: primary prevention is to actively treat risk factors for people with stroke risk factors, and regularly monitor the occurrence of other risk factors and take targeted measures to reduce the occurrence of the disease; secondary prevention is to provide early diagnosis and early treatment for patients who have had one or more strokes to prevent the occurrence of serious cerebrovascular diseases; tertiary prevention is to strengthen rehabilitation care for patients who have already suffered stroke to prevent the condition from worsening. According to existing survey data, nearly one-third of acute stroke patients are caused by the worsening of progressive stroke types, and the daily monitoring and protection measures currently taken for such patients are not perfect, and cannot timely and effectively warn of changes in the condition of such patients, resulting in high morbidity, disability and even mortality rates. Summary of the invention

[0003] In view of the above problems, the present invention is proposed to provide a remote stroke warning device and warning method based on network media that overcomes the above problems or at least partially solves the above problems. The device and warning method can monitor various physical health indicators of stroke patients in real time, and can issue warnings in time for abnormal changes in physical health indicators of progressive stroke patients, thereby avoiding the high disability and mortality rates caused by worsening of the condition of stroke patients.

[0004] Specifically, the present invention provides a remote stroke warning device based on a network medium, the warning device comprising: Patient terminal, the patient terminal includes a portable collector to collect patient health index data and store and transmit it; A server platform, the server platform is used to receive the patient health index data transmitted by the patient terminal, and store and identify the patient health index data; the server platform includes computer server hardware and computer server software; the computer server software is installed and runs on the computer server hardware; the computer server software includes an abnormal alarm information processing module and a push information setting module, the abnormal alarm information processing module generates alarm information for the abnormal health index data identified by the server platform and pushes the alarm information to the push information setting module; the push information setting module pushes the alarm information in real time; The push terminal is used to receive the alarm information pushed by the push information setting module, and push the alarm information to the staff in time to respond to the abnormality handling mechanism.

[0005] Optionally, the computer server software further includes a patient information management module; The patient information management module is used to manage the basic information of patients to establish a health information database of different patients, so that the staff can contact the patients in time.

[0006] Optionally, the alarm information includes at least the basic information recorded by the patient information management module.

[0007] Optionally, the computer server software further includes a system parameter setting module; The system parameter setting module is used by staff to manually set the information of the push terminal and the server platform to manage various parameter information of the server platform.

[0008] Optionally, the abnormal alarm information processing module includes setting patient health index limit values, receiving and reading patient health index information data, and comparing health index data and abnormal judgment number information; The alarm information is judged, screened, and pushed to the push information setting module by the abnormal alarm information processing module.

[0009] Optionally, the patient terminal further includes a network medium; The portable collector is connected to the network platform to upload the collected patient health indicator data to the server platform in real time.

[0010] Optionally, the patient terminal further includes a mobile communication terminal; The portable collector is connected to the mobile communication terminal network to upload the collected patient health index data to the server platform in real time.

[0011] Optionally, the push terminal is a mobile phone; The staff member carries the mobile phone with him / her so as to check the running status of the server platform and receive the alarm information pushed by the server platform in time.

[0012] Optionally, the server platform further includes a database discrimination model; The database discrimination model records the patient's health restriction data to facilitate comparison and discrimination with the patient's health indicator data received by the server platform.

[0013] The present invention also provides a remote stroke early warning method based on a network medium, the early warning method is applied to any of the above-mentioned early warning devices, and the early warning method includes: The portable collector is powered on and worn on the patient, and is set to automatically connect to the network platform and / or mobile communication terminal; The patient's health index data is collected in real time through the portable collector, and transmitted or stored in real time; After receiving the health indicator data, the server platform performs data preprocessing and issues abnormal data warning for the preprocessed health indicator data; The push terminal receives the abnormal data warning, and promptly responds to the abnormality handling mechanism to provide timely treatment to the patient.

[0014] Optionally, the data preprocessing includes: The server platform classifies and stores the received patient health indicator data; Comparing the patient's health indicator data with the health indicator limit value stored in the database discrimination model in real time to determine whether the patient's health indicator data is abnormal; The abnormal data is judged and screened by the abnormal level and / or the number of abnormal occurrences, and the screened patient health indicator data is used as the final abnormal data for abnormal data warning.

[0015] In a remote stroke early warning device based on a network medium of the present invention, a patient terminal suitable for patients to carry with them is first set up, and the patient terminal can detect various health index data of the patient in real time and can upload the detected patient health index data to the server platform in real time through the network medium. Then, the server platform identifies and processes the patient health index data uploaded by the patient terminal, generates alarm information for the identified final abnormal health index data, and pushes the alarm information to the push information module of the server platform in real time. Finally, the push information module pushes the alarm information to the push terminal. After receiving the alarm information, the staff carrying the push terminal device immediately responds and locks the alarm patient information in time, so as to take intervention measures in time to save the patient's loss. Through the participation of the early warning device, the staff can monitor the patient's health index parameters in real time, warn the patient's health index parameter changes, greatly reduce the risk of progressive stroke patients not being able to receive timely treatment after the condition worsens, form a stroke early warning network jointly participated by social groups such as families, communities, and hospitals, and avoid the occurrence of serious illness.

[0016] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings: Figure 1 is a schematic system composition diagram of a remote stroke warning device based on a network medium according to an embodiment of the present invention; Figure 2 is a schematic partial system composition diagram of a remote stroke warning device based on a network medium according to another embodiment of the present invention; Figure 3 is a schematic flow chart of a remote stroke early warning method based on a network medium according to an embodiment of the present invention; Figure 4 It is a schematic flow chart of a remote stroke early warning method based on network media according to another embodiment of the present invention. DETAILED DESCRIPTION

[0018] Refer to the following Figures 1 to 4 To describe a remote stroke warning device and warning method based on a network medium according to an embodiment of the present invention. In the description of this embodiment, it should be understood that the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features, that is, include one or more of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. When a feature "includes or contains" one or some of the features it covers, unless otherwise specifically described, this indicates that other features are not excluded and may further include other features.

[0019] Unless otherwise clearly defined and limited, the terms "set", "install", "connect", "connect", "fix", "couple" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. A person skilled in the art should be able to understand the specific meanings of the above terms in the present invention according to the specific circumstances.

[0020] In addition, in the description of this embodiment, the first feature being "above" or "below" the second feature may include the first and second features being in direct contact, or may include the first and second features not being in direct contact but being in contact through another feature between them. That is, in the description of this embodiment, the first feature being "above", "above", and "above" the second feature includes the first feature being directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. The first feature being "below", "below", or "below" the second feature may mean that the first feature is directly below or obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0021] In the description of the present embodiment, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0022] Figure 1 is a schematic system composition diagram of a remote stroke warning device based on a network medium according to an embodiment of the present invention. Figure 1 As shown, and refer to Figure 2 The embodiment of the present invention provides a remote stroke warning device based on a network medium, including a patient terminal 100, a server platform 200 and a push terminal 300. The patient terminal 100 includes a portable collector to collect patient health index data and store and transmit it. The server platform 200 is used to receive the patient health index data transmitted by the patient terminal 100, and store and identify the patient health index data. The server platform 200 includes computer server hardware 210 and computer server software 220. The computer server software 220 is installed and runs on the computer server hardware 210. The computer server software 220 includes an abnormal alarm information processing module 221 and a push information setting module 222. The abnormal alarm information processing module 221 generates alarm information for the abnormal health index data identified by the server platform 200 and pushes the alarm information to the push information setting module 222. The push information setting module 222 pushes the alarm information in real time. The push terminal 300 is used to receive the alarm information pushed by the push information setting module 222, and promptly push the alarm information to the staff to respond to the abnormal processing mechanism.

[0023] In the early warning device of the embodiment of the present invention, since the patient terminal 100 is provided, when the early warning device needs to work, it is only necessary to first power on the patient terminal 100 and then wear it on the patient. The patient terminal 100 can detect the various index data of the patient in real time and can upload the detected patient health index data to the server platform 200 in real time through the network medium. Then, the server platform 200 identifies and processes the patient health index data uploaded by the patient terminal 100, generates alarm information for the identified abnormal health index data, and pushes the alarm information to the push information module of the server platform 200 in real time. Finally, the push information module pushes the alarm information to the push terminal 300. After receiving the alarm information, the staff of the push terminal 300 responds in a timely manner, can immediately lock the various information of the early warning patient, and then can take intervention measures in time to save the patient's losses. Through the participation of this early warning device, staff can monitor the patient's health index parameters in real time and warn of changes in health index parameters, which greatly reduces the risk of progressive stroke patients not receiving timely treatment after their condition worsens, and realizes a virtuous cycle of real-time monitoring of the condition, early warning, and timely intervention. It also promotes the establishment of a stroke early warning network with the participation of social groups such as families, communities, and hospitals, thereby reducing the mortality rate of stroke patients and the occurrence of serious illnesses.

[0024] In some embodiments of the early warning device of the present invention, Figure 2 As shown, the computer server software 220 also includes a patient information management module 223. The patient information management module 223 is used to manage the basic information of the patient to establish a health information database of different patients, so that the staff can contact the patient in time.

[0025] In this embodiment, in order to be able to contact the patient more timely, conveniently and quickly, a patient information management module 223 is integrated in advance in the computer server software 220. The patient information management module 223 mainly consists of adding patient information, modifying patient information, deleting patient information and other parts. The patient information consists of the patient terminal 100 number, the patient's residential address information, contact number, age, gender, family contact number, community doctor, community doctor phone number, condition information, early warning information and other information. For patients living at home, the residential address in the patient information is filled in with the specific house number, so that when the telephone contact is invalid after the patient's health abnormality occurs, the community doctor or 120 arrives in time to find the patient's residence. For patients living in the hospital, the bed number should also be registered in the patient information to facilitate the rapid locking of the patient. The condition information mainly fills in the previous stroke incidence or other medical history, and the early warning information mainly fills in the number of abnormal occurrences of the patient's health indicators and the abnormal processing results, and determines whether it is suitable for home observation or recommended hospitalization and rehabilitation.

[0026] In some embodiments of the early warning device of the present invention, Figure 2 As shown, the computer server software 220 further includes a system parameter setting module 224. The system parameter setting module 224 is used for the staff to manually set the information of the push terminal 300 and the server platform 200 to manage various parameter information of the server platform 200.

[0027] In this embodiment, the system parameter setting module 224 mentioned above is a management module of the server platform 200, which mainly includes an administrator account, an administrator password, a user account, a user password, a user authority setting push terminal 300 mobile phone number, setting push information, pushing terminal 300 viewing information, server network access account information, network security defense measures, etc. For some information acquisition terminals of the push terminal 300, the basic information of the staff for receiving the patient health index data can be entered into the system through the system parameter setting module 224, which increases the flexibility of selecting the push terminal 300 personnel. For example, when a certain staff member is busy, the contact information of the staff of the push terminal 300 port can be adjusted in real time to avoid the situation where no one responds to the push terminal 300. At the same time, a network security defense module is also integrated in the system parameter setting module 224 to increase the security and stability of the system.

[0028] In some embodiments of the early warning device of the present invention, Figure 2 As shown, the abnormal alarm information processing module 221 includes patient health index limit value setting, receiving and reading patient health index information data, comparing health index data and abnormal judgment number information. The alarm information is judged, filtered, and pushed to the push information setting module 222 by the abnormal alarm information processing module 221.

[0029] In this embodiment, the computer server software 220 integrated by the server platform 200 is provided with a processing abnormal alarm information module 221 in advance. The module is provided with a patient health index limit value. When the server platform 200 receives and reads the patient health index information data, it can be compared with the patient health index limit value and record the number of data abnormalities. That is, the patient health index data in the early warning device is mainly processed by the abnormal alarm information. The module judges and screens the alarm information, and finally pushes the determined alarm information to the push information setting module 222. The push information setting module 222 is a module running on the server platform 200 software. When the server platform 200 detects that a patient health index abnormal alarm occurs, it will read the contact information of the patient information, including the contact number, family contact number, home address information, community doctor, and community doctor phone number together with the abnormal alarm information, and send it to the push terminal 300, which plays the role of identifying, screening, and judging the entire automated push process of the final push.

[0030] In particular, when the server platform 200 is unattended, the server platform 200 can operate on its own, realizing the function of sending abnormal alarm information and the real-time operation status of the server to the push terminal 300, thereby improving the intelligent and automated monitoring level of the entire early warning device.

[0031] In some embodiments of the early warning device of the present invention, the patient terminal 100 also includes a network platform. The portable collector is connected to the network platform to upload the collected patient health index data to the server platform 200 in real time. The network platform can be a home network, or of course, a network platform of a community hospital or a hospital ward, which mainly serves the purpose of connecting the patient terminal 100 and uploading the patient's real-time health data to the server platform 200 through the network platform.

[0032] In other embodiments of the early warning device of the present invention, the patient terminal 100 also includes a mobile communication terminal. The portable collector is connected to the mobile communication terminal network to upload the collected patient health index data to the server platform 200 in real time. The mobile communication terminal only needs to be able to achieve stable network transmission to facilitate the transmission of the patient health index data monitored in real time by the patient terminal 100.

[0033] In other embodiments of the early warning device of the present invention, the patient terminal 100 also includes a network platform terminal and a mobile communication terminal. The portable collector is connected to the network platform and the mobile communication terminal to upload the collected patient health index data to the server platform 200 in real time.

[0034] In the above embodiment, the storage and uploading of the patient health index data collected by the portable collector in the patient terminal 100 is realized mainly by setting the network connection mode of the patient terminal 100. Of course, the use of a network platform or a mobile communication device terminal can greatly reduce the equipment cost and patient burden of the whole set. Among them, the portable collector may include a plastic shell, an internal circuit and a rechargeable battery, a collection electrode and other parts. The internal circuit adopts a low-power circuit design, which greatly enhances the battery life. The shell of the portable collector has a battery power indicator and a network status indicator, which is convenient for observing the operating status and replacing the battery. The portable collector is worn on the stroke patient, and the collection electrode is attached to the collection part of the human body. The portable collector is small and exquisite and does not affect daily life. When the stroke patient is at home, the portable collector will automatically connect to the network medium or mobile communication terminal to collect the patient's health index data (such as muscle tension, etc.) in real time. The portable collector is powered by a rechargeable battery, which makes it easier to replace the battery. The portable collector is wirelessly connected to the network medium and / or the mobile communication terminal, and can also be equipped with a mobile phone card to form a patient terminal 100.

[0035] Furthermore, the patient terminal 100 may also have a storage medium. When the patient terminal 100 and the server platform 200 fail to communicate unexpectedly within a short period of time, the patient terminal 100 itself can store the recorded data. When the patient terminal 100 and the server platform 200 resume communication, the collected patient health data can be uploaded and stored in time. If the patient terminal 100 fails to resume communication within the set time, the server platform 200 can contact the patient in time, find out the reason, and resume communication and data upload status.

[0036] In some embodiments of the early warning device of the present invention, the push terminal 300 is a mobile phone. The staff carries the mobile phone with them to check the running status of the server platform 200 and receive the alarm information pushed by the server platform 200 in time.

[0037] In this embodiment, the push terminal 300 can be a mobile phone. The staff downloads the corresponding push terminal 300 software on the mobile phone, and the push terminal 300 software maintains an online connection with the server platform 200 in real time. This makes it very convenient for the staff to carry it with them and to be able to check the received push information and the operating status of the server in time. When the staff sees the abnormal alarm information through the push terminal 300, they can respond in time to quickly take emergency measures to treat the patient and avoid major losses. At the same time, the staff can also check the operating status of the server platform 200 in real time. Once the server platform 200 is found to be operating abnormally, measures can be taken in time to repair it and restore the real-time health data link with each patient.

[0038] In some embodiments of the early warning device of the present invention, the server platform 200 further includes a database discrimination model. The database discrimination model records the patient health restriction data to facilitate comparison and discrimination with the patient health indicator data received by the server platform 200.

[0039] In this embodiment, by presetting the database discrimination model, the patient health data flowing into the server platform 200 can be screened, compared and discriminated in real time. Among them, the patient health limit value is stored in the preset database discrimination model. The server platform 200 stores the received patient health indicator data in the standard database of the server platform 200 according to certain rules. When a certain indicator value of the patient health data is compared with the patient health limit data recorded in the database discrimination model, if the abnormal deviation is large, this data is recorded and the frequency of the abnormal occurrence of this data is recorded to determine the abnormal level. If there are abnormalities in multiple records, the patient information and abnormal information are promptly transmitted to the push module, and the push module promptly pushes the patient information and abnormal information to the push terminal 300.

[0040] The embodiment of the present invention also provides a remote stroke warning method based on network medium, such as Figure 3 to Figure 4 As shown, in some embodiments of a remote stroke early warning method based on a network medium of the present invention, the early warning method includes: S1 Power on the portable collector and wear it on the patient, and set it to automatically connect to the network medium or mobile communication terminal; S2 collects patient health indicator data in real time through a portable collector and transmits or stores it in real time; S3 After receiving the health indicator data, the server platform 200 performs data preprocessing and issues abnormal data warning for the preprocessed health indicator data.

[0041] S4 The push terminal 300 receives the abnormal data warning, and promptly responds to the abnormality handling mechanism to provide timely treatment to the patient.

[0042] In this embodiment, Figure 3 As shown, when it is necessary to monitor and manage the patient, the early warning device starts working. First, the patient terminal 100 is worn on the patient. The patient terminal 100 can detect the patient's various indicator data in real time and can upload the detected patient health indicator data to the server platform 200 in real time through the network medium. Then, the server platform 200 identifies and processes the patient health indicator data uploaded by the patient terminal 100, generates alarm information for the identified abnormal health indicator data, and pushes the alarm information to the push information module of the server platform 200 in real time. Finally, the push information module pushes the alarm information to the push terminal 300. After receiving the alarm information, the staff of the push terminal 300 responds in time, locks the alarm patient information in time, and then can take intervention measures in time to save the patient's loss. Through the participation of this early warning device, staff can monitor the patient's health index parameters in real time and warn of changes in health index parameters, which greatly reduces the risk of progressive stroke patients not receiving timely treatment after their condition worsens, and realizes a virtuous cycle of real-time monitoring of the condition, early warning, and timely intervention. It also promotes the establishment of a stroke early warning network with the participation of social groups such as families, communities, and hospitals, thereby reducing the mortality rate of stroke patients and avoiding the occurrence of serious illnesses.

[0043] In some embodiments of the early warning method of the present invention, Figure 3 As shown, data preprocessing includes: S31 The server platform 200 classifies and stores the received patient health indicator data; S32 compares the patient's health indicator data with the health indicator limit values ​​stored in the database discrimination model in real time to determine whether the patient's health indicator data is abnormal; S33: The abnormal data is screened by the abnormal level and / or the number of abnormal occurrences, and the screened patient health indicator data is used as the final abnormal data for abnormal data warning.

[0044] In this embodiment, the data preprocessing process is completed in the server platform 200. Among them, the portable collector of the patient terminal 100 is worn on the patient after being powered on. After each collection interval, the microcontroller on the portable collector circuit board communicates with the internal collection module through the bus to read the health index data once. The collection interval can be set in the program running in the microcontroller. The microcontroller stores the collected patient health index data in the internal memory after processing, and the network status remains active in real time. The patient health index data temporarily stored in the internal storage area is framed and packaged, and sent to the server platform 200 through the network medium. The server platform 200 receives the patient health index data and promptly returns the receiving information to the portable collector of the patient terminal 100. After the patient's health index data is sent to the server platform 200, the server platform 200 starts the data preprocessing work, which is mainly to compare and judge the data. The server platform 200 stores the received patient health index data in the standard database of the server platform 200 according to certain rules. When a certain index value of the patient health data is compared with the patient health restriction data recorded in the database discrimination model, if the abnormal deviation is large, the data is recorded and the frequency of the abnormal occurrence of the data is recorded to determine the abnormal level. If there are abnormalities in multiple records, the patient information and abnormal information are transmitted to the push module in time, and the push module pushes the patient information and abnormal information to the push terminal 300 in time to complete the entire data preprocessing work.

[0045] At this point, those skilled in the art should recognize that, although multiple exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the present invention can still be directly determined or derived based on the content disclosed in the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and recognized as covering all these other variations or modifications.

Claims

1. A remote stroke warning device based on network media, It is characterized in that The early warning device comprises: Patient terminal, the patient terminal includes a portable collector to collect patient health index data and store and transmit it; A server platform, the server platform is used to receive the patient health index data transmitted by the patient terminal, and store and identify the patient health index data; the server platform includes computer server hardware and computer server software; the computer server software is installed and runs on the computer server hardware; the computer server software includes an abnormal alarm information processing module and a push information setting module, the abnormal alarm information processing module generates alarm information for the abnormal health index data identified by the server platform and pushes the alarm information to the push information setting module; the push information setting module pushes the alarm information in real time; The push terminal is used to receive the alarm information pushed by the push information setting module, and push the alarm information to the staff in time to respond to the abnormality handling mechanism.

2. A remote stroke warning device based on network medium according to claim 1, It is characterized in that The computer server software also includes a patient information management module; The patient information management module is used to manage the basic information of patients to establish a health information database of different patients, so that the staff can contact the patients in time.

3. A remote stroke warning device based on network medium according to claim 2, It is characterized in that The alarm information at least includes the basic information recorded by the patient information management module.

4. A remote stroke warning device based on network medium according to claim 1, It is characterized in that The computer server software also includes a system parameter setting module; The system parameter setting module is used by staff to manually set the information of the push terminal and the server platform to manage various parameter information of the server platform.

5. A remote stroke warning device based on network medium according to claim 1, It is characterized in that The module for processing abnormal alarm information includes setting patient health index limit values, receiving and reading patient health index information data, and comparing health index data and abnormal judgment frequency information; The alarm information is judged, screened, and pushed to the push information setting module by the abnormal alarm information processing module.

6. A remote stroke progression and occurrence warning device based on network media according to claim 1, It is characterized in that The patient terminal also includes a network platform and / or a mobile communication terminal; The portable collector is connected to the network platform and / or the mobile communication terminal network to upload the collected patient health indicator data to the server platform in real time.

7. A remote stroke progression and occurrence warning device based on network media according to claim 1, It is characterized in that The push terminal is a mobile phone; The staff member carries the mobile phone with him / her so as to check the running status of the server platform and receive the alarm information pushed by the server platform in time.

8. A remote stroke progression and occurrence warning device based on network media according to claim 1, It is characterized in that The server platform also includes a database discrimination model; The database discrimination model records the patient's health restriction data to facilitate comparison and discrimination with the patient's health indicator data received by the server platform.

9. A remote stroke warning method based on network media, It is characterized in that The early warning method is applied to the early warning device as described in any one of claims 1 to 8; The early warning method comprises: The portable collector is powered on and worn on the patient, and is set to automatically connect to the network platform and / or mobile communication terminal; The patient's health index data is collected in real time through the portable collector, and transmitted or stored in real time; After receiving the health indicator data, the server platform performs data preprocessing and issues abnormal data warning for the preprocessed health indicator data; The push terminal receives the abnormal data warning, and promptly responds to the abnormality handling mechanism to provide timely treatment to the patient.

10. A remote stroke early warning method based on network medium according to claim 9, It is characterized in that The data preprocessing includes: The server platform classifies and stores the received patient health indicator data; Comparing the patient's health indicator data with the health indicator limit value stored in the database discrimination model in real time to determine whether the patient's health indicator data is abnormal; The abnormal data is judged and screened by the abnormal level and / or the number of abnormal occurrences, and the screened patient health indicator data is used as the final abnormal data for abnormal data warning.

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