CN116269242A - Old person health status real-time monitoring system based on internet - Google Patents
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- 230000005540 biological transmission Effects 0.000 claims abstract description 44
- 238000012216 screening Methods 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 4
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Abstract
The invention provides an Internet-based real-time monitoring system for the health condition of the elderly, which comprises: the data screening unit is used for receiving detection data sent by terminal detection equipment worn on a target user and screening target data matched with health features of the target user from the detection data; the first transmission unit is used for uploading the target data to an analysis server through a first transmission link so as to process the target data through the analysis server and generate a health report of the target user; and the second transmission unit is used for uploading other data except the target data in the detection data to the backup server through a second transmission link. The technical scheme provided by the invention can be used for conveniently and effectively monitoring the health condition of the old.
Description
Technical Field
The invention relates to the technical field of medical monitoring, in particular to an Internet-based real-time monitoring system for the health condition of the elderly.
Background
In order to more effectively monitor the health condition of the elderly, various portable health detection devices are currently being developed. For example, the elderly can conveniently monitor their own health conditions in real time in the home by small health detection devices such as oximeter, sphygmomanometer, etc.
But for some elderly people they may not know how well their health is, if at all, to provide them with health detection devices. Meanwhile, along with the increase of the number of the health detection devices, the data volume to be processed in real time is also increasing, and if the data collected by the health detection devices are uniformly uploaded to a server for processing, the burden of the server is increased.
In view of this, there is a need for a more efficient health condition real-time monitoring system.
Disclosure of Invention
The invention provides an Internet-based real-time monitoring system for the health condition of the elderly, which can monitor the health condition of the elderly conveniently and effectively.
In view of this, the present invention provides, in one aspect, an internet-based real-time monitoring system for health status of elderly people, the system comprising:
the data screening unit is used for receiving detection data sent by terminal detection equipment worn on a target user and screening target data matched with health features of the target user from the detection data;
the first transmission unit is used for uploading the target data to an analysis server through a first transmission link so as to process the target data through the analysis server and generate a health report of the target user;
and the second transmission unit is used for uploading other data except the target data in the detection data to the backup server through a second transmission link.
In one embodiment, the data screening unit is further configured to obtain a historical detection report of the target user, identify one or more detection indicators with abnormal values from the historical detection report, and determine one or more health features affected by the detection indicators from a plurality of candidate health features, so as to screen target data matched with the determined health features from the detection data.
In one embodiment, the data filtering unit is further configured to identify data tags of various types of data from the detection data, and determine a target data tag for characterizing health features of the target user from the identified data tags; and taking the detection data with the target data tag as target data matched with the health characteristics of the target user.
In one embodiment, the data filtering unit is further configured to compare the value of each detection index in the historical detection report with a standard value interval, and use the detection index with a value exceeding the standard value interval as one or more detection indexes with abnormal values.
In one embodiment, the first transmission unit sends a negotiation request to the analysis server when the first transmission link is established, and establishes a first transmission link with the analysis server when a reply message fed back by the analysis server for the negotiation request is received.
In one embodiment, the second transmission unit is further configured to access an external domain name of the backup server, where the external domain name is parsed to establish a second transmission link with the backup server, so as to transmit the other data through the second transmission link.
In one embodiment, the system further comprises:
and the alarm unit is used for receiving the health report fed back by the analysis server, identifying whether an abnormal value exists in the health report, and broadcasting the health index represented by the abnormal value in a voice mode if the abnormal value exists.
In one embodiment, the system further comprises:
and the calling unit is used for receiving a preset instruction input by the target user, and inquiring a preset emergency contact in the address book so as to call the emergency contact.
In one embodiment, the analysis server is further configured to determine mutual exclusivity of each first data in the target data, and allocate a report generation instruction to the corresponding first data according to the mutual exclusivity of each first data and the data detection type of the first data, so as to generate a health report of the target user, and specifically includes:
determining mutual exclusivity of each first data in the target data according to formula (1);
wherein D1 represents corresponding first data; d2 represents the target data excluding the remaining data corresponding to the first data; x1 represents a corresponding correlation coefficient after the correlation between D1 and D2 is present, and the value is (0, 1); h (D1, D2) represents a mutual exclusion function of the first data D1 and the remaining data D2;
constructing a data representation according to the mutual exclusivity and the data detection type of each first data;
acquiring a generation instruction corresponding to the first data from a representation-allocation mapping table based on the data representation;
calculating a report occupation value p for each generated indication according to formula (2);
wherein,,
representing the confidence level of the ith generation indication; />
Representing the total confidence of all generated indications; />
A first probability representing that the history of the ith generation indication is used as a report; />
Representing the total probability that all the history of generating indications is used as a report; />
Representing a confidence-based weight; />
Representing history-based usageWeighting;
calculating the occupation probability p0 of each generation instruction according to the formula (3) and all the reported occupation values;
and carrying out report page area distribution according to the occupation probability of each generation instruction, and further generating the health report of the target user.
Specifically, the larger the occupation probability of the generated indication is, the larger the corresponding report page area is, so that the report page areas of the generated indication can be ordered by the order of the large occupation probability of the generated indication, and the health reports of the target users can be obtained through integration according to the respective report page areas.
Therefore, according to the technical scheme provided by the invention, when the monitoring system receives the detection data sent by the terminal detection equipment, the target data matched with the health characteristics of the target user can be screened out. The part of target data can embody the health state of the target user, so that the health state is uploaded to an analysis server through a first transmission link for health analysis. And other data are irrelevant to the health state, and can be directly uploaded to a backup server for backup through a second transmission link. Thus, by classifying and transmitting a large amount of detection data, the load of the analysis server can be greatly reduced, and more efficient health monitoring service can be provided.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic diagram of functional modules of an internet-based real-time monitoring system for health conditions of elderly people in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The invention provides an Internet-based real-time monitoring system for the health condition of the elderly, referring to FIG. 1, the system comprises:
the data screening unit is used for receiving detection data sent by terminal detection equipment worn on a target user and screening target data matched with health features of the target user from the detection data;
the first transmission unit is used for uploading the target data to an analysis server through a first transmission link so as to process the target data through the analysis server and generate a health report of the target user;
and the second transmission unit is used for uploading other data except the target data in the detection data to the backup server through a second transmission link.
In this embodiment, the real-time monitoring system and the terminal detection device may be located in the same local area network, and the terminal detection device may be a device capable of detecting human health data, such as an oximeter, a sphygmomanometer, or the like. The terminal detection equipment and the real-time monitoring system can be paired in advance, and after the detection data of the human body are acquired, the detection data can be sent to the real-time monitoring system.
After the real-time monitoring system receives the detection data, as the types of data contained in the detection data may be more, a part of data has no indication effect on the health state of the target user. In order to avoid uploading redundant data to the analysis server, the real-time monitoring system may first screen out target data matching the health features of the target user from the detected data.
Specifically, the data screening unit is further configured to obtain a historical detection report of the target user, identify one or more detection indexes with abnormal values from the historical detection report, and determine one or more health features affected by the detection indexes from a plurality of candidate health features, so as to screen target data matched with the determined health features from the detection data.
The historical detection report of the target user can be uploaded to a real-time monitoring system in advance, the real-time monitoring system can identify the numerical value of each detection index through OCR and other technologies, then for the detection index with numerical value abnormality, the health characteristics influenced by the detection index with numerical value abnormality can be determined from candidate health characteristics (such as platelet concentration, white blood cell number and the like), the health characteristics are likely to have problems, and an analysis server is required to pay attention to the health characteristics, so that target data matched with the health characteristics can be screened out.
In one embodiment, the data filtering unit is further configured to identify data tags of various types of data from the detection data, and determine a target data tag for characterizing health features of the target user from the identified data tags; and taking the detection data with the target data tag as target data matched with the health characteristics of the target user.
The data tag may be text information indicating the type of data, for example, the data tag may be a tag such as "platelet concentration", "white blood cell number", or the like.
In one embodiment, the data filtering unit is further configured to compare the value of each detection index in the historical detection report with a standard value interval, and use the detection index with a value exceeding the standard value interval as one or more detection indexes with abnormal values.
In one embodiment, the first transmission unit sends a negotiation request to the analysis server when the first transmission link is established, and establishes a first transmission link with the analysis server when a reply message fed back by the analysis server for the negotiation request is received.
The first transmission unit can establish a first transmission link with the analysis server in a TCP three-way handshake mode, so that the communication efficiency is ensured, and meanwhile, the safety of data transmission can be ensured.
In one embodiment, the second transmission unit is further configured to access an external domain name of the backup server, where the external domain name is parsed to establish a second transmission link with the backup server, so as to transmit the other data through the second transmission link.
The backup server may externally disclose its own external domain name, and the real-time monitoring system may establish a second transmission link with the backup server by means of domain name resolution, where the second transmission link may be, for example, a transmission link constructed based on HTTP or HTTPs.
In one embodiment, the real-time monitoring system may further include more functional modules, for example, further including: and the alarm unit is used for receiving the health report fed back by the analysis server, identifying whether an abnormal value exists in the health report, and broadcasting the health index represented by the abnormal value in a voice mode if the abnormal value exists.
For another example, the real-time monitoring system further includes: and the calling unit is used for receiving a preset instruction input by the target user, and inquiring a preset emergency contact in the address book so as to call the emergency contact.
Therefore, according to the technical scheme provided by the invention, when the monitoring system receives the detection data sent by the terminal detection equipment, the target data matched with the health characteristics of the target user can be screened out. The part of target data can embody the health state of the target user, so that the health state is uploaded to an analysis server through a first transmission link for health analysis. And other data are irrelevant to the health state, and can be directly uploaded to a backup server for backup through a second transmission link. Thus, by classifying and transmitting a large amount of detection data, the load of the analysis server can be greatly reduced, and more efficient health monitoring service can be provided.
In one embodiment, the analysis server is further configured to determine mutual exclusivity of each first data in the target data, and allocate a report generation instruction to the corresponding first data according to the mutual exclusivity of each first data and the data detection type of the first data, so as to generate a health report of the target user, and specifically includes:
determining mutual exclusivity of each first data in the target data according to formula (1);
wherein D1 represents corresponding first data; d2 represents the target data excluding the remaining data corresponding to the first data; x1 represents a corresponding correlation coefficient after the correlation between D1 and D2 is present, and the value is (0, 1); h (D1, D2) represents a mutual exclusion function of the first data D1 and the remaining data D2;
constructing a data representation according to the mutual exclusivity and the data detection type of each first data;
acquiring a generation instruction corresponding to the first data from a representation-allocation mapping table based on the data representation;
calculating a report occupation value p for each generated indication according to formula (2);
wherein,,
representing the confidence level of the ith generation indication; />
Representing the total confidence of all generated indications; />
A first probability representing that the history of the ith generation indication is used as a report; />
Representing the total probability that all the history of generating indications is used as a report; />
Representing a confidence-based weight; />
A weight representing a history-based used condition;
calculating the occupation probability p0 of each generation instruction according to the formula (3) and all the reported occupation values;
and carrying out report page area distribution according to the occupation probability of each generation instruction, and further generating the health report of the target user.
The working principle and the beneficial effects of the technical scheme are as follows: the mutual exclusivity of each first data is calculated to determine the data representation of the corresponding first data, the generation codes needing to be matched are convenient to be fetched later, the generation of reports is convenient, the report occupation value of each generation instruction is calculated through the confidence and the probability of being used as the report, a basis is provided for the size of each subsequent data occupation page, the occupation probability of each generation instruction is calculated through normalization processing, the size of the occupation page of the corresponding instruction is further effectively determined, and a reliable basis is provided for generating the health report.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. An internet-based real-time monitoring system for health conditions of elderly people, the system comprising:
the data screening unit is used for receiving detection data sent by terminal detection equipment worn on a target user and screening target data matched with health features of the target user from the detection data;
the first transmission unit is used for uploading the target data to an analysis server through a first transmission link so as to process the target data through the analysis server and generate a health report of the target user;
and the second transmission unit is used for uploading other data except the target data in the detection data to the backup server through a second transmission link.
2. The system of claim 1, wherein the data screening unit is further configured to obtain a historical detection report of the target user, identify one or more detection indicators of numerical anomalies from the historical detection report, and determine one or more health features affected by the detection indicators from a plurality of candidate health features to screen the target data from the detection data that matches the determined health features.
3. The system according to claim 1 or 2, wherein the data screening unit is further configured to identify data tags for various types of data from the detected data, and to determine a target data tag for characterizing health characteristics of the target user from the identified data tags; and taking the detection data with the target data tag as target data matched with the health characteristics of the target user.
4. The system of claim 2, wherein the data screening unit is further configured to compare the value of each detection indicator in the historical detection report with a standard value interval, and to use the detection indicator having a value exceeding the standard value interval as one or more detection indicators of a numerical anomaly.
5. The system according to claim 1, wherein the first transmission unit sends a negotiation request to the analysis server when the first transmission link is established, and establishes the first transmission link with the analysis server when a reply message fed back by the analysis server for the negotiation request is received.
6. The system of claim 1, wherein the second transmission unit is further configured to access an external domain name of the backup server, and the external domain name is parsed to establish a second transmission link with the backup server to transmit the other data through the second transmission link.
7. The system of claim 1, wherein the system further comprises:
and the alarm unit is used for receiving the health report fed back by the analysis server, identifying whether an abnormal value exists in the health report, and broadcasting the health index represented by the abnormal value in a voice mode if the abnormal value exists.
8. The system of claim 1, wherein the system further comprises:
and the calling unit is used for receiving a preset instruction input by the target user, and inquiring a preset emergency contact in the address book so as to call the emergency contact.
9. The system of claim 1, wherein the analysis server is further configured to determine mutual exclusivity of each first data in the target data, and allocate a report generation instruction to the corresponding first data according to the mutual exclusivity of each first data and the data detection type of the first data, and generate a health report of the target user, and specifically includes:
determining mutual exclusivity of each first data in the target data according to formula (1);
wherein D1 represents corresponding first data; d2 represents the target data excluding the remaining data corresponding to the first data; x1 represents a corresponding correlation coefficient after the correlation between D1 and D2 is present, and the value is (0, 1); h (D1, D2) represents a mutual exclusion function of the first data D1 and the remaining data D2;
constructing a data representation according to the mutual exclusivity and the data detection type of each first data;
acquiring a generation instruction corresponding to the first data from a representation-allocation mapping table based on the data representation;
calculating a report occupation value p for each generated indication according to formula (2);
wherein,,
representing the confidence level of the ith generation indication; />
Representing the total confidence of all generated indications; />
A first probability representing that the history of the ith generation indication is used as a report; />
Representing the total probability that all the history of generating indications is used as a report; />
Representing a confidence-based weight; />
A weight representing a history-based used condition;
calculating the occupation probability p0 of each generation instruction according to the formula (3) and all the reported occupation values;
and carrying out report page area distribution according to the occupation probability of each generation instruction, and further generating the health report of the target user.
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