CN111524595A - Identification system based on large-range collection of cardiac data - Google Patents
Identification system based on large-range collection of cardiac data Download PDFInfo
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Abstract
The invention relates to the technical field of cardiac data detection, in particular to an identification system based on large-range acquisition of cardiac data, which comprises: the communication module is used for connecting the sensor to the server in a communication way; the matching module is connected with the communication module, and the server matches the electrocardio data acquired by the sensor with user information which is prestored in the server and corresponds to a wearing user of the sensor to form a data record; the calculation module is connected with the matching unit and used for calculating the data record in unit time through the calculation model so as to generate evaluation data; the comparison module is connected with the calculation unit and compares the evaluation data with a reference value range provided in the server; and the alarm module is connected with the comparison module and used for giving an alarm by the sensor when the evaluation data is not in the reference value range. The technical scheme of the invention has the beneficial effects that: abnormal evaluation data is filtered out by comparing the evaluation data with a reference value range provided in a server to monitor the heart state of the user in real time.
Description
Technical Field
The invention relates to the technical field of cardiac data detection, in particular to an identification system based on large-range acquisition of cardiac data.
Background
At present, digital bracelets and digital watches of various brands are sold on the domestic market to collect the individual heart rate, such as sports bracelets and digital watches, or in the field of professional sports, team heart rate data monitoring and analyzing products are adopted, and the device comprises team heart rate collecting devices of various brands, but the heart rate data are acquired by the devices in a human chest electrode collecting mode, and the device can collect and display the team heart rate through civil waveband radio frequency in a group transmitting and centralized receiving mode.
Meanwhile, the number of people who acquire the service does not exceed 80, the propagation distance of the sensor signal is less than 200 meters, and only one system can work in the same area, so that large-scale electrocardio data acquisition cannot be realized, a server database aiming at electrocardiogram/heart rate data acquisition is not unified, and large-scale group fitness health data real-time acquisition cannot be carried out. Therefore, the above problems are difficult for those skilled in the art to solve.
Disclosure of Invention
In view of the above problems in the prior art, an identification method based on large-scale acquisition of cardiac data is provided.
The specific technical scheme is as follows:
the invention provides an identification system based on large-scale collection of heart data, wherein the identification system comprises:
the communication module is used for connecting a sensor to a server in a communication way;
the matching module is arranged on the server, connected with the communication module and used for matching user information, corresponding to a wearing user of the sensor, pre-stored in the server according to electrocardiogram data acquired by the sensor to form a data record and storing the data record in the server;
the computing module is arranged on the server, connected with the matching module and used for computing the data record in unit time through at least one computing model so as to generate evaluation data;
the comparison module is arranged on the server, connected with the calculation module and used for comparing the evaluation data with a reference value range provided in the server;
and the alarm module is arranged on the server and connected with the comparison module, and is used for giving an alarm by the sensor when the evaluation data is not in the reference value range.
Preferably, the system further comprises an acquisition module, which is arranged at a user side, connected to the communication module, and used for acquiring the user information of the user wearing the sensor in advance through the user side and sending the user information to the server.
Preferably, the matching module includes:
the receiving unit is used for receiving the electrocardio data acquired by the sensor;
the matching unit is connected with the receiving unit and used for matching the electrocardio data with the user information which is prestored in the server and corresponds to the wearing user of the sensor so as to form the data record;
and the storage unit is connected with the matching unit and used for storing the data record in the server.
Preferably, an identification data used for being matched with the user information is preset in the sensor, and the server performs matching according to the identification data and the user information to generate a corresponding data record.
Preferably, the identification data includes one or more of a user identity, a user physical sign parameter, and a user side identity.
Preferably, the user physical sign parameters include one or more of age, gender, weight, and basal heart rate.
Preferably, the calculation model comprises one or more of a mean model, a total standard deviation model, a mean standard deviation model and a square root model of mean square of difference.
Preferably, the alarm module includes:
a judging unit for judging whether the evaluation data is within the reference value range;
the alarm unit is connected with the judgment unit and the communication module and used for instructing the sensor to alarm when the evaluation data is not in the reference value range;
and the first transmission unit is connected with the alarm unit and the communication module and is used for transmitting the evaluation data to the user side of the wearing user corresponding to the sensor.
Preferably, the alarm module further includes a second transmission unit, connected to the judgment unit and the communication module, and configured to transmit the evaluation data to the user side of the user wearing the sensor when the evaluation data is within the reference value range.
Preferably, the sensor is an electrocardiogram/heart rate sensor.
The technical scheme of the invention has the beneficial effects that: the method comprises the steps of calculating data records in unit time, generating evaluation data, comparing the evaluation data with a reference value range provided in a server, filtering abnormal evaluation data to monitor the heart state of a user in real time, forming a database in the server, dynamically matching electrocardio data acquired by a sensor in real time with user information, and further dynamically identifying the identity of the user, so that the function of an intelligent fitness and health community is realized.
Drawings
Embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings. The drawings are, however, to be regarded as illustrative and explanatory only and are not restrictive of the scope of the invention.
FIG. 1 is a block diagram of an embodiment of the present invention;
FIG. 2 is a block diagram of a matching module of an embodiment of the present invention;
FIG. 3 is a block diagram of an alarm module of an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
The invention provides an identification system based on large-range collection of heart data, wherein the identification system comprises:
the communication module 1 is used for connecting a sensor 2 to a server 3 in a communication way;
the matching module 4 is arranged on the server 3, connected with the communication module 1 and used for matching user information, corresponding to a wearing user of the sensor 2, pre-stored in the server 3 according to the electrocardiogram data acquired by the sensor 2 to form a data record and storing the data record in the server 3;
the calculation module 5 is arranged on the server 3 and connected with the matching module 4, and is used for calculating data records in unit time through at least one calculation model so as to generate evaluation data;
a comparison module 6, which is arranged on the server 3 and connected with the calculation module 5, and is used for comparing the evaluation data with a reference value range provided in the server;
and the alarm module 7 is arranged on the server 3 and connected with the comparison module 6, and is used for giving an alarm by the sensor 2 when the evaluation data is not in the reference value range.
With the above identification system, as shown in fig. 1, the sensor 2 is first connected to the server 3 in a feasible communication manner, where the sensor 2 is an electrocardiogram/heart rate sensor 2, and the communication manner includes that the sensor 2 is connected to the server 3 through a connection relay device (e.g., a telecommunication base station); or the sensor 2 is connected with the server 3 through a local area network (wireless network); or the sensor 2 is connected with the server 3 through the connection intelligent terminal.
In addition, in the prior art, the electrocardio data is acquired by a human chest electrode acquisition mode, and the team heart rate acquisition and display are realized by a group transmitting and centralized receiving mode through civil waveband wireless frequency, but the technical scheme of the invention utilizes the existing trunk network or public network or transfer equipment to transmit through the acquisition mode of individual users, thereby avoiding the people number limitation, distance limitation, the group acquisition, transmission and centralized receiving mode in the prior art, and the prior art cannot dynamically identify the user identity because the mode of establishing a database cannot be passed, so that the electrocardio data acquired by the sensor 2 in real time cannot be dynamically matched with the user identity, and the technical scheme of the invention can dynamically match the electrocardio data acquired by the sensor 2 in real time with the user identity through the mode of establishing the database, thereby realizing the function of an intelligent fitness health community.
Further, the electrocardiographic data of the wearing user is collected in real time through the sensor 2 and is sent to the server 3, the server 3 matches the electrocardiographic data with the user information, corresponding to the wearing user of the sensor 2, pre-stored in the server 3, so as to form a data record, and the data record is stored in the server 3, in the embodiment, the user information of the wearing user of the sensor 2 includes one or more of user identity, user physical sign parameters and user end identity, wherein the user physical sign parameters include one or more of age, sex, weight and basic heart rate, in the embodiment, the user information of the user in a large range can be transmitted to the server 3 through the collection mode of the individual user, so as to form a database in the server 3, so that the electrocardiographic data collected by the sensor 2 can be matched with the user information of the wearing user of the corresponding sensor, thereby realizing dynamic identification of the user identity.
Further, after the server 3 matches the electrocardiographic data with the user information, corresponding to the wearing user of the sensor 2, pre-stored in the server 3 to form a data record, the data record in unit time is calculated through a calculation model to generate evaluation data, the calculation model in this embodiment includes one or more of a mean value model, a total standard deviation model, a mean value standard deviation model and a square root model of mean square of the difference, and the evaluation data is compared with a reference value range provided in the server 3, wherein a calculation formula of the mean value model is as follows:
wherein MEAN represents the MEAN of the cardiac data;
RR represents a heart rate value in the cardiac data.
The calculation formula of the overall standard deviation model is as follows:
wherein SDNN represents the overall standard deviation of the cardiac data;
n represents a total of N natural numbers;
i ═ 1 denotes the 1 st natural number;
RRirepresenting heart rate values in a total of i heart data.
And the reference value ranges established in the overall standard deviation model are shown in the following table:
the mean standard deviation is calculated as:
wherein SDANN represents the mean standard deviation of the cardiac data;
i represents a total of i natural numbers;
i ═ 1 denotes the 1 st natural number;
And the reference value ranges established with the mean standard deviation model are shown in the following table:
| 18 to 29 years old | 151.07+-41.31 |
| Age 30 to age 49 | 131.23+-33.75 |
| 50-69 years old | 108.87+-28.46 |
The equation for the square root of the mean square of the difference is:
wherein r-MSSD represents the square root of the mean square of the difference of the cardiac data;
n-1 represents a total of N natural numbers minus 1;
i ═ 1 denotes the 1 st natural number;
i +1 represents the ith natural number plus 1;
RRirepresenting heart rate values in a total of i heart data;
RRi+1representing the heart rate values in a total number i of more than 1 heart data.
And the reference value range established by the square root model of the mean square of the difference is shown in the following table:
the above-mentioned examples are typical mathematical models, which are only used to illustrate the applicability of the present invention, and should not be construed as limiting the scope of the present invention, and other mathematical models may be used to further analyze the evaluation data.
In this embodiment, after comparing the evaluation data with the reference value range provided in the server 3, if the evaluation data is not within the reference value range corresponding to the calculation model, the sensor 2 is instructed to alarm, and the evaluation data is transmitted to the user end of the wearing user corresponding to the sensor 2, so as to filter out abnormal evaluation data, and monitor the heart state of the user in real time.
In a preferred embodiment, as shown in fig. 1, the system further includes an acquisition module 8, disposed at a user end 9 and connected to the communication module 1, for acquiring user information of a user wearing the sensor 2 in advance through the user end 9 and sending the user information to the server 3.
Specifically, in this embodiment, the identification system further includes an acquisition module 8, where the acquisition module 8 is configured to acquire user information of a user wearing the sensor 2 in advance through a user terminal 9 (e.g., an application program of the smart terminal), that is, the user wearing the sensor 2 transmits user information of the user to application software of the smart terminal through application software of the smart terminal, and then transmits the user information to the server 3 through a network for storage.
In a preferred embodiment, the matching module 4 comprises:
a receiving unit 40, configured to receive electrocardiographic data acquired by the sensor 2;
the matching unit 41 is connected with the receiving unit 40 and used for matching the electrocardio data with user information which is prestored in the server 3 and corresponds to the wearing user of the sensor 2 so as to form a data record;
and the storage unit 42 is connected with the matching unit 41 and is used for storing the data records in the server 3.
Specifically, as shown in fig. 2, the matching module 4 includes a receiving unit 40, a matching unit 41, and a storage unit 42, where the receiving unit 40 is configured to receive electrocardiographic data acquired by the sensor 2, and then, in the matching unit 41, the server 3 matches the electrocardiographic data with user information, which is pre-stored in the server 3 and corresponds to a wearing user of the sensor 2, so as to form a data record, and then the data record is stored in the server 3.
In a preferred embodiment, the sensor 2 is preset with identification data for matching with user information, and the server 3 matches with the user information according to the identification data to generate a corresponding data record.
Specifically, in this embodiment, the wearing user sets in advance identification data used for matching with user information in the sensor 2, where the identification data includes one or more of a user identity, a user physical sign parameter, and a user side identity, where the user physical sign parameter includes one or more of an age, a sex, a weight, and a basic heart rate, and the server 3 matches with the user information according to the identification data to generate a corresponding data record.
In a preferred embodiment, the identification data includes one or more of a user identity, a user physical sign parameter, and a user side identity.
In a preferred embodiment, the user vital sign parameters include one or more of age, gender, weight, and basal heart rate.
In a preferred embodiment, the computational model includes one or more of a mean model, an overall standard deviation model, a mean standard deviation model, and a square root of mean square difference model.
In a preferred embodiment, the alarm module 7 comprises:
a judging unit 70 for judging whether the evaluation data is within the reference value range;
the alarm unit 71 is connected with the judging unit 70 and the communication module 1 and is used for instructing the sensor 2 to alarm when the evaluation data is not in the reference value range;
a first transmission unit 72, connected to the alarm unit 71 and the communication module 1, for transmitting the evaluation data to the user end 9 of the wearing user corresponding to the sensor 2.
Specifically, as shown in fig. 3, the alarm module 7 in this embodiment includes a determining unit 70, an alarm unit 71 and a first transmitting unit 72, and first determines whether the evaluation data is in a corresponding reference value range through the determining unit 70, and if the evaluation data is not in the reference value range, instructs the sensor 2 to alarm through the alarm unit 71, and transmits the evaluation data to a user end of a wearing user corresponding to the sensor 2 through the first transmitting unit 72, so as to filter out abnormal evaluation data, and monitor the heart state of the user in real time.
In a preferred embodiment, the alarm module 7 further comprises a second transmission unit 73 for transmitting the evaluation data to the user terminal 9 of the wearing user corresponding to the sensor 2 when the evaluation data is within the reference value range.
In this embodiment, the alarm module 7 further includes a second transmission unit 73, and when the evaluation data is within the reference value range, the evaluation data is transmitted to the user end of the wearing user corresponding to the sensor 2 through the second transmission unit 73.
In a preferred embodiment, the sensor 2 is an electrocardiogram/heart rate sensor 2.
The technical scheme of the invention has the beneficial effects that: the evaluation data is generated by calculating the data record in unit time, and the evaluation data is compared with the reference value range provided in the server, so that abnormal evaluation data is filtered out, the heart state of the user is monitored in real time, and the intelligent functions of exercise and fitness and medical health-care communities can be realized.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. An identification system based on the extensive acquisition of cardiac data, the identification system comprising:
the communication module is used for connecting a sensor to a server in a communication way;
the matching module is arranged on the server, connected with the communication module and used for matching user information, corresponding to a wearing user of the sensor, pre-stored in the server according to electrocardiogram data acquired by the sensor to form a data record and storing the data record in the server;
the computing module is arranged on the server, connected with the matching module and used for computing the data record in unit time through at least one computing model so as to generate evaluation data;
the comparison module is arranged on the server, connected with the calculation module and used for comparing the evaluation data with a reference value range provided in the server;
and the alarm module is arranged on the server and connected with the comparison module, and is used for giving an alarm by the sensor when the evaluation data is not in the reference value range.
2. An identification system based on extensive collection of cardiac data as claimed in claim 1 further comprising a collection module disposed at a user end and connected to said communication module for collecting said user information of said wearing user of said sensor in advance through said user end and sending it to said server.
3. An identification system based on extensive acquisition of cardiac data as claimed in claim 1, wherein said matching module comprises:
the receiving unit is used for receiving the electrocardio data acquired by the sensor;
the matching unit is connected with the receiving unit and used for matching the electrocardio data with the user information which is prestored in the server and corresponds to the wearing user of the sensor so as to form the data record;
and the storage unit is connected with the matching unit and used for storing the data record in the server.
4. An identification system based on extensive collection of cardiac data as claimed in claim 3, wherein said sensor is pre-loaded with identification data for matching with said user information, and said server matches with said user information based on said identification data to generate corresponding data records.
5. An identification system based on extensive collection of cardiac data as claimed in claim 4, wherein said identification data comprises one or more of user identity, user physical parameters and user end identity.
6. An identification system based on extensive collection of cardiac data as claimed in claim 5 wherein said user vital parameters include one or more of age, gender, weight and basal heart rate.
7. An identification system based on extensive acquisition of cardiac data as claimed in claim 1, wherein said computational model comprises one or more of a mean model, a global standard deviation model, a mean standard deviation model and a square root of mean square difference model.
8. An identification system based on extensive acquisition of cardiac data according to claim 2, characterized in that said alarm module comprises:
a judging unit for judging whether the evaluation data is within the reference value range;
the alarm unit is connected with the judgment unit and the communication module and used for instructing the sensor to alarm when the evaluation data is not in the reference value range;
and the first transmission unit is connected with the alarm unit and the communication module and is used for transmitting the evaluation data to the user side of the wearing user corresponding to the sensor.
9. An identification system based on extensive collection of cardiac data as claimed in claim 8, wherein said alarm module further comprises a second transmission unit connected to said determination unit and said communication module for transmitting said evaluation data to said user end corresponding to a wearing user of said sensor when said evaluation data is within said reference value range.
10. An identification system based on extensive collection of cardiac data as claimed in claim 9 wherein said sensor is an electrocardiogram/heart rate sensor.
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