CN110859613A - Electrocardio data processing method and device, computer equipment and storage medium - Google Patents
Electrocardio data processing method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN110859613A CN110859613A CN201911144042.1A CN201911144042A CN110859613A CN 110859613 A CN110859613 A CN 110859613A CN 201911144042 A CN201911144042 A CN 201911144042A CN 110859613 A CN110859613 A CN 110859613A
- Authority
- CN
- China
- Prior art keywords
- electrocardiogram
- data
- user
- preset
- historical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0247—Pressure sensors
Abstract
The invention discloses an electrocardiogram data processing method, an electrocardiogram data processing device, a computer device and a storage medium. The method comprises the following steps: acquiring first electrocardiogram data of a user, and recording the acquisition time of the first electrocardiogram data; judging whether the first electrocardiogram data has a preset data error or not, and if not, converting the first electrocardiogram data into second electrocardiogram data; the second electrocardiogram data are connected in series according to the acquisition time, and the second electrocardiogram data after being connected in series are sent to electrocardiogram data conversion equipment through a target serial port to obtain a target electrocardiogram; and comparing the target electrocardiogram with a historical electrocardiogram of a user in a preset time period to generate electrocardiogram state information, simultaneously displaying the target electrocardiogram and the electrocardiogram state information to a preset data interface of the user, and storing the target electrocardiogram and the acquisition time into a preset database in an associated manner. The electrocardiogram data used for generating the target electrocardiogram can be measured by the method, and the accuracy and the integrity of the measured electrocardiogram data are ensured.
Description
Technical Field
The invention relates to the field of wearable equipment, in particular to an electrocardiogram data processing method and device, computer equipment and a storage medium.
Background
The conventional wearable device can usually test the heart rate data of a user, but often cannot test the electrocardiogram data of the user, and for the user who wants to perform the electrocardiogram detection, the user needs to go to a hospital or borrow other large-scale medical equipment, so that the user does not have the condition of being capable of detecting at any time, and the convenience can not be brought to the user. Therefore, there is a need to find a technical solution for testing electrocardiographic data through a wearable device to solve the above mentioned problems.
Disclosure of Invention
Therefore, it is necessary to provide an electrocardiographic data processing method, an electrocardiographic data processing apparatus, a computer device, and a storage medium for solving the above technical problems, so that electrocardiographic data of a user can be measured by a wearable device, accuracy and integrity of the measured electrocardiographic data can be ensured, and a reference value of a target electrocardiogram can be improved.
An electrocardiogram data processing method comprises the following steps:
acquiring first electrocardiogram data of a user through a sensor module installed in wearable equipment, and recording acquisition time of the first electrocardiogram data;
judging whether the first electrocardiogram data has a preset data error or not, and if the first electrocardiogram data does not have the preset data error, performing data conversion on the first electrocardiogram data to obtain second electrocardiogram data;
all the second electrocardiogram data are connected in series according to the acquisition time, the second electrocardiogram data after being connected in series are sent to electrocardiogram data conversion equipment through a target serial port, and a target electrocardiogram converted by the electrocardiogram data conversion equipment according to the second electrocardiogram data is acquired;
comparing the target electrocardiogram with the historical electrocardiogram of the user in a preset time period to obtain a comparison result, generating electrocardiogram state information according to the comparison result, simultaneously displaying the target electrocardiogram and the electrocardiogram state information to a preset data interface of the user, and then storing the target electrocardiogram and the acquisition time into a preset database in an associated manner.
An electrocardiographic data processing apparatus comprising:
the recording module is used for acquiring first electrocardiogram data of a user through a sensor module installed in the wearable device and recording the acquisition time of the first electrocardiogram data;
the conversion module is used for judging whether the first electrocardiogram data has a preset data error or not, and if the first electrocardiogram data does not have the preset data error, performing data conversion on the first electrocardiogram data to obtain second electrocardiogram data;
the acquisition module is used for serially connecting all the second electrocardiogram data according to the acquisition time, sending the serially connected second electrocardiogram data to electrocardiogram data conversion equipment through a target serial port, and acquiring a target electrocardiogram converted by the electrocardiogram data conversion equipment according to the second electrocardiogram data;
the storage module is used for comparing the target electrocardiogram with a historical electrocardiogram of the user within a preset time period to obtain a comparison result, generating electrocardiogram state information according to the comparison result, displaying the target electrocardiogram and the electrocardiogram state information to a preset data interface of the user at the same time, and storing the target electrocardiogram and the acquisition time into a preset database in an associated manner.
A computer device comprises a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor implements the electrocardiographic data processing method when executing the computer program.
A computer-readable storage medium, in which a computer program is stored, which, when executed by a processor, implements the above-mentioned electrocardiographic data processing method.
According to the electrocardio data processing method, the device, the computer equipment and the storage medium, the wearable equipment can be used for measuring the first electrocardio data of the user, the obtained first electrocardio data can be judged by preset data errors, and the second electrocardio data without preset errors are connected in series and then converted into the target electrocardiogram; and the finally obtained target electrocardiogram calendar can generate electrocardiogram state information after being compared with the history electrocardiogram, and the generated electrocardiogram state information has high reference value, so that a user can clearly know the specific electrocardiogram condition of the user.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a flow chart of a method for processing ECG data according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an electrocardiographic data processing apparatus according to an embodiment of the present invention.
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the 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 some, not all, embodiments of the present invention. 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.
In an embodiment, as shown in fig. 1, a method for processing electrocardiographic data is provided, which includes the following steps:
s10, acquiring first electrocardiogram data of a user through a sensor module installed in the wearable device, and recording the acquisition time of the first electrocardiogram data;
understandably, the sensor module includes an acceleration sensor, a heart rate sensor, an electrocardiograph sensor, a gravity sensor, and the like, in this embodiment, the electrocardiograph sensor in the sensor module is used (the detection can be performed by at least one electrocardiograph sheet arranged in the wearable device, for example, when the wearable device is worn by a right hand of a human body, two bottom case electrocardiograph sheets contact with the skin of the right hand of the human body as much as possible with a larger contact area, and the left hand can contact a side electrocardiograph sheet of the electrocardiograph heart rate detection bracelet, and understandably, the bottom case electrocardiograph sheets can collect an electrocardiograph positive signal, and the side electrocardiograph negative signal can be collected, so that the detection mode can form a current loop, and electrocardiograph data can be collected by the mode, and the mentioned electrocardiograph sheet is electrically connected with the electrocardiograph chip) to obtain first electrocardiograph; in this embodiment, if the user triggers the function of needing to test the electrocardiographic data of the user, the processing server where the electrocardiographic chip is located may obtain the first electrocardiographic data for a period of time (e.g., 1 minute), and record the specific obtaining time of the first electrocardiographic data (e.g., 30 # 12 hours, 29 minutes to 30 minutes). In this embodiment, the first electrocardiographic data of the user may be measured by the wearable device.
S20, judging whether the first electrocardiogram data have preset data errors or not, and if the first electrocardiogram data do not have the preset data errors, performing data conversion on the first electrocardiogram data to obtain second electrocardiogram data;
understandably, the preset data error includes the situation that the first electrocardiogram data cannot be acquired due to the situation of not-in-place detection or the situation that the phase difference between the first electrocardiogram data is extremely large due to data interruption (external interference, such as severe jitter) in the detection acquisition process; the data conversion is to convert the first electrocardiogram data acquired by the sensor module from an analog signal to a digital signal, and to perform digital amplification processing on the converted data signal so as to improve the reading and calculating capability of the electrocardiogram chip.
The accuracy of the first electrocardiogram data can be improved by judging whether the first electrocardiogram data has preset data errors or not, and the fact that the first electrocardiogram data is closer to the real electrocardiogram condition of a user can be ensured.
S30, all the second electrocardiogram data are connected in series according to the acquisition time, the second electrocardiogram data after being connected in series are sent to electrocardiogram data conversion equipment through a target serial port, and a target electrocardiogram converted by the electrocardiogram data conversion equipment according to the second electrocardiogram data is acquired;
understandably, in order to convert the batched forms of the second electrocardiogram data so as to ensure the continuity of the second electrocardiogram data, the second electrocardiogram data can be connected in series by the sequence of the acquisition time; the target serial port is a communication serial port, and information interaction between the electrocardio chip and other communication equipment can be realized through the target serial port (the target serial port can specifically carry out information interaction with other communication equipment through wireless equipment); the electrocardiogram data conversion device comprises various operating parameters (including the relation of a coordinate system forming the electrocardiogram) forming the target electrocardiogram, and the target electrocardiogram is generated through the connection relation between points (one second electrocardiogram data is one point) by taking the acquisition time of the second electrocardiogram data as the X axis of the coordinate system and taking the specific value of the second electrocardiogram data as the Y axis.
The embodiment is to ensure that the second electrocardiogram data is converted into the target electrocardiogram without breaking, and ensure the data integrity of the second electrocardiogram data in the target electrocardiogram, so as to more accurately reflect the most real target electrocardiogram of the user.
S40, comparing the target electrocardiogram with the historical electrocardiogram of the user in a preset time period to obtain a comparison result, generating electrocardiogram state information according to the comparison result, displaying the target electrocardiogram and the electrocardiogram state information to a preset data interface of the user at the same time, and storing the target electrocardiogram and the acquisition time into a preset database in an associated manner.
Understandably, the comparison result refers to a result of recent electrocardiographic state of the user (a specific digital result can be obtained by comparing curves between graphs) generated by comparing the target electrocardiogram with the historical electrocardiogram, and electrocardiographic state information (the above mentioned digital result can be inquired through a preset electrocardiographic state information table to obtain electrocardiographic state information) is generated according to the result of the electrocardiographic state, the electrocardiographic state information referred to herein can be arrhythmia or too fast or too slow in heart rate at a certain period of acquisition time or all acquisition time (the electrocardiographic state information referred to herein can be embedded into a position corresponding to the target electrocardiogram, so as to achieve the effect of visual observation); the preset data interface can be a display screen in the wearable device or a display screen of other external communication devices.
In the embodiment, the target electrocardiogram is compared with the historical electrocardiogram in the preset time period, so that the real electrocardiogram state information of the user is reflected more accurately (the reference value of the target electrocardiogram directly generated at one time is not high), the electrocardiogram state information and the target electrocardiogram can be displayed on the preset data interface and then can be visually checked by the user, the embodiment can not be provided for the user to check in a single graphic digital form, the electrocardiogram state information is also added, and the reference value of the added electrocardiogram state information is high, so that the user can clearly know the specific electrocardiogram condition of the user.
Further, after determining whether the first electrocardiographic data has a preset data error, the method further includes:
if the first electrocardiogram data has the preset data error, the first electrocardiogram data with the preset data error is cleared, and the first electrocardiogram data is measured again.
In this embodiment, since the first electrocardiographic data has a data error, the second electrocardiographic data which is converted incorrectly in the subsequent process is avoided, and therefore the first electrocardiographic data which is preset incorrectly can be avoided by measuring the first electrocardiographic data again.
Further, before comparing the target electrocardiogram with the historical electrocardiogram of the user in the preset time period, the method further includes:
determining the identity information of the user wearing the wearable device through the identity number of the user, and determining whether a historical electrocardiogram of the user in a preset time period exists in the preset database according to the identity information of the user and the acquisition time; the preset time period is a time period which is before the acquisition time and is adjacent to the acquisition time;
when the historical electrocardiogram of the user in the preset time period exists in the preset database, deriving the historical electrocardiogram of the user in the preset time period from the preset database;
when the historical electrocardiogram of the user does not exist in the preset time period, detecting the historical electrocardiogram of the user in a preset number of time units before the preset time period in the preset database by taking the duration of the preset time period as a time unit, and when the historical electrocardiogram of the user is detected, deriving the historical electrocardiogram of the user in the preset time period from the preset database.
Understandably, an identity number is generated for a user wearing the wearable device in the implementation library, and identity information can be traced through the identity number; the preset time period is a time period before and adjacent to the acquisition time, and the preset time period is set to a set time length, for example, the acquisition time is 30 # 12 hours 29 minutes-30 minutes, while the time length of the preset time period is required to be 1 hour, so the preset time period can be 11 hours 29 minutes-30 minutes-12 hours 29 minutes-30 minutes or 10 hours 29 minutes-30 minutes-11 hours 29 minutes-30 minutes (if 11 hours 29 minutes-30 minutes do not exist, the adjacent preset time period of 12 hours 29 minutes-30 minutes is 10 hours 29 minutes-30 minutes-11 hours 29 minutes-30 minutes).
The embodiment can determine the historical electrocardiogram through the time relationship, and when the historical electrocardiogram of the user does not exist in the preset time period, the historical electrocardiogram is acquired by taking the duration of the preset time period as a time unit, so that the historical electrocardiogram of the recent condition of the user is taken as a comparison reference standard, and finally, the obtained comparison result can be ensured to be more accurate.
Further, after the detecting the historical electrocardiogram of the user in the preset number of time units before the preset time period, the method further includes:
when the historical electrocardiograms of the user are not detected in a preset number of time units before the preset time period, determining all the historical times corresponding to the time points of the acquisition time, determining the historical time closest to the acquisition time from all the historical times, and deriving the historical electrocardiograms associated with the historical time closest to the acquisition time from the preset database.
In this embodiment, since the historical electrocardiogram is not detected in the preset number of time units before the preset time period, the historical time before the same time as the acquisition time can be borrowed (for example, the acquisition time is 30 from 12 to 29, the historical time can be 29 from 12 to 30, the historical time is 29 from 12 to 29, the historical time is 29 from 12 to 30, the historical time is 28 from 12 to 29, and so on, and if the historical time at the same time is not found, other times which are not much different can be confirmed as the historical time, such as 29 from 12 to 27 and 28, and so on) to determine the historical electrocardiogram associated with the historical time, thereby ensuring that the historical electrocardiogram can be acquired from multiple aspects, and the historical electrocardiogram can also be used as a comparison reference standard.
It should be noted that, if the historical electrocardiogram of the user does not exist in the preset database (the user wears the wearable device for the first time), the user may be prompted to have no historical electrocardiogram through the preset data interface.
Further, the determining, by the identity number of the user, the identity information of the user wearing the wearable device includes:
inquiring the number of the identity numbers of the users in a user database; the identity number is a number generated for the identity information of the user after the user wears the wearable device;
when the number of the identity numbers of the user is one, determining the identity information of the user corresponding to the identity numbers;
when the number of the identity numbers of the user is more than two, the identity information of the user is determined according to the degree of tightness of wearing the wearable equipment; associating one of said tightness degrees with identity information of one of said users; the degree of tightness is obtained according to sensing equipment installed on the wearable equipment.
Understandably, the sensing equipment can determine the tightness degree (the sizes of wrist positions of each person are different) by the pressure sensor which wears the wearable equipment, and further determine the identity information of the user or determine the identity information of the user by the sensing equipment capable of detecting the sizes of skeletal muscles of the wrist; in the case that the two methods are not determinable, the iris recognition can be automatically performed through a camera installed on the wearable device to determine the identity information of the user.
In this embodiment, the identity number can be as user's identity information's symbol, and the quantity of this embodiment judgement user's identity number is in order to determine the personnel's quantity of wearing this wearable equipment, determines user's identity information with different processing methods through the quantity difference for identity information's determination efficiency is accelerated.
Further, the concatenating all the second electrocardiographic data according to the acquisition time further includes:
judging whether preset interruption occurs in the acquisition time in series connection;
and if the preset interruption phenomenon occurs, clearing all the second electrocardiogram data, and acquiring the first electrocardiogram data of the user again through the sensor module installed in the wearable device.
In this embodiment, the breaking of the target electrocardiogram displayed last due to the interruption of the acquisition time is avoided.
Further, after the storing the target electrocardiogram and the acquisition time association to a preset database, the method further includes:
after receiving a health monitoring instruction sent by the user, selecting an electrocardiogram in a preset time range from the preset database according to the acquisition time, and acquiring the heart rate data of the user monitored by the sensor module;
comparing second electrocardiogram data in the target electrocardiogram with the heart rate data to acquire health monitoring information;
and displaying the health monitoring information, the heart rate data, the electrocardiogram and the target electrocardiogram to the preset data interface at the same time.
Understandably, the sensor module comprises a heart rate sensor, and can also acquire heart rate data of a user, and it needs to be stated that the duration of the heart rate data acquisition time is equal to the duration of the electrocardiogram data acquisition time; the health monitoring information is based on the health information of the human heart (because the electrocardio data and the heart rate data have a relationship with the beating of the human heart, the combination of the heart rate data and the second electrocardio data can determine the health monitoring information about the heart of the user according to the root sign).
In the embodiment, the health monitoring information, the heart rate data, the electrocardiogram within the preset time range and the target electrocardiogram are sent to the preset data interface together for the user to compare and check, so that the user can know specific electrocardiogram change, electrocardiogram data and the current health condition (health monitoring information) within a period of time, and the experience effect of the user is improved.
Further, after the storing the target electrocardiogram and the acquisition time association to a preset database, the method further includes:
after receiving an instruction of acquiring the electrocardiogram of the target time sent by the user, determining at least one acquisition time matched with the target time, and splicing the electrocardiograms associated with the at least one acquisition time to obtain a total target electrocardiogram. In this embodiment, the target time can be set according to the user's requirement, so that the final spliced total target electrocardiogram will approach the user's requirement.
In summary, the method for processing the electrocardiographic data provided by the invention can measure the first electrocardiographic data of a user through the wearable device, judge the obtained first electrocardiographic data by the default data error, and convert the second electrocardiographic data without the default error into the target electrocardiographic after the second electrocardiographic data is connected in series, and can ensure that the electrocardiographic data of the target electrocardiographic is error-free, high in integrity and closer to the real electrocardiographic condition of the user after the first electrocardiographic data measured by the wearable device is subjected to a plurality of data processing methods, so that the accuracy of the target electrocardiographic is high, and the reference value is high; and the finally obtained target electrocardiogram calendar can generate electrocardiogram state information after being compared with the history electrocardiogram, and the generated electrocardiogram state information has high reference value, so that a user can clearly know the specific electrocardiogram condition of the user.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an embodiment, an electrocardiographic data processing apparatus is provided, which corresponds to the electrocardiographic data processing method in the above embodiment one to one. As shown in fig. 2, the electrocardiographic data processing apparatus includes a recording module 11, a conversion module 12, an acquisition module 13, and a storage module 14. The functional modules are explained in detail as follows:
the recording module 11 is used for acquiring first electrocardiogram data of a user through a sensor module installed in the wearable device and recording acquisition time of the first electrocardiogram data;
the conversion module 12 is configured to determine whether the first electrocardiographic data has a preset data error, and if the first electrocardiographic data does not have the preset data error, perform data conversion on the first electrocardiographic data to obtain second electrocardiographic data;
the acquisition module 13 is configured to serially connect all the second electrocardiogram data according to the acquisition time, send the serially connected second electrocardiogram data to an electrocardiogram data conversion device through a target serial port, and acquire a target electrocardiogram converted by the electrocardiogram data conversion device according to the second electrocardiogram data;
the storage module 14 is configured to compare the target electrocardiogram with a historical electrocardiogram of the user in a preset time period to obtain a comparison result, generate electrocardiogram state information according to the comparison result, display the target electrocardiogram and the electrocardiogram state information to a preset data interface of the user at the same time, and store the target electrocardiogram and the acquisition time in a preset database in an associated manner.
Further, the electrocardiographic data processing apparatus further includes:
and the measuring module is used for clearing the first electrocardiogram data with the preset data error and measuring the first electrocardiogram data again if the first electrocardiogram data has the preset data error.
Further, the electrocardiographic data processing apparatus further includes:
the determining module is used for determining the identity information of the user wearing the wearable device through the identity number of the user, and determining whether a historical electrocardiogram of the user in a preset time period exists in the preset database according to the identity information of the user and the obtaining time; the preset time period is a time period which is before the acquisition time and is adjacent to the acquisition time;
the first derivation module is used for deriving the historical electrocardiogram of the user in the preset time period from the preset database when the historical electrocardiogram of the user in the preset time period exists in the preset database;
and the second derivation module is used for detecting the historical electrocardiograms of the user in a preset time unit in a preset database by taking the duration of the preset time period as a time unit when the historical electrocardiograms of the user do not exist in the preset time period, and deriving the historical electrocardiograms of the user in the preset time period from the preset database when the historical electrocardiograms of the user are detected.
Further, the electrocardiographic data processing apparatus further includes:
and a third derivation module, configured to, when the historical electrocardiogram of the user is not detected in a preset number of time units before the preset time period, determine all historical times corresponding to the time point of the acquisition time, determine a historical time closest to the acquisition time from all the historical times, and derive a historical electrocardiogram associated with the historical time closest to the acquisition time from the preset database.
Further, the determining module includes:
the query submodule is used for querying the number of the identity numbers of the users in a user database; the identity number is a number generated for the identity information of the user after the user wears the wearable device;
the first determining submodule is used for determining the identity information of the user corresponding to the identity number when the number of the identity numbers of the user is one;
the second determining submodule is used for determining the identity information of the user according to the degree of tightness of wearing the wearable equipment when the number of the identity numbers of the user is more than two; associating one of said tightness degrees with identity information of one of said users; the degree of tightness is obtained according to sensing equipment installed on the wearable equipment.
Further, the obtaining module further includes:
the judging module is used for judging whether the preset interruption phenomenon occurs in the obtaining time in series connection;
and the first electrocardiogram data acquisition module is used for clearing all the second electrocardiogram data if the preset interruption phenomenon occurs, and acquiring the first electrocardiogram data of the user again through the sensor module installed in the wearable device.
Further, the electrocardiographic data processing apparatus further includes:
the receiving module is used for selecting an electrocardiogram in a preset time range from the preset database according to the acquisition time after receiving a health monitoring instruction sent by the user, and acquiring the heart rate data of the user monitored by the sensor module;
the health monitoring information acquisition module is used for comparing second electrocardiogram data in the target electrocardiogram with the heart rate data to acquire health monitoring information;
and the display module is used for simultaneously displaying the health monitoring information, the heart rate data, the electrocardiogram and the target electrocardiogram to the preset data interface.
For specific limitations of the electrocardiographic data processing apparatus, reference may be made to the above limitations on the electrocardiographic data processing method, which are not described herein again. All or part of the modules in the electrocardio-data processing device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing data related to the electrocardio data processing method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for processing electrocardiographic data.
In one embodiment, a computer device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the electrocardiograph data processing method in the above embodiments are implemented, for example, steps S10 to S40 shown in fig. 1. Alternatively, the processor, when executing the computer program, implements the functions of the modules/units of the electrocardiograph data processing apparatus in the above-described embodiment, for example, the functions of the modules 11 to 14 shown in fig. 2. To avoid repetition, further description is omitted here.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and the computer program is executed by a processor to implement the steps of the electrocardiographic data processing method in the above-described embodiments, such as the steps S10 to S40 shown in fig. 1. Alternatively, the computer program, when executed by the processor, implements the functions of the modules/units of the electrocardiograph data processing apparatus in the above-described embodiments, such as the functions of the modules 11 to 14 shown in fig. 2. To avoid repetition, further description is omitted here.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An electrocardiogram data processing method is characterized by comprising the following steps:
acquiring first electrocardiogram data of a user through a sensor module installed in wearable equipment, and recording acquisition time of the first electrocardiogram data;
judging whether the first electrocardiogram data has a preset data error or not, and if the first electrocardiogram data does not have the preset data error, performing data conversion on the first electrocardiogram data to obtain second electrocardiogram data;
all the second electrocardiogram data are connected in series according to the acquisition time, the second electrocardiogram data after being connected in series are sent to electrocardiogram data conversion equipment through a target serial port, and a target electrocardiogram converted by the electrocardiogram data conversion equipment according to the second electrocardiogram data is acquired;
comparing the target electrocardiogram with the historical electrocardiogram of the user in a preset time period to obtain a comparison result, generating electrocardiogram state information according to the comparison result, simultaneously displaying the target electrocardiogram and the electrocardiogram state information to a preset data interface of the user, and then storing the target electrocardiogram and the acquisition time into a preset database in an associated manner.
2. The method for processing electrocardiographic data according to claim 1, wherein after determining whether the first electrocardiographic data has a preset data error, the method further comprises:
if the first electrocardiogram data has the preset data error, the first electrocardiogram data with the preset data error is cleared, and the first electrocardiogram data is measured again.
3. The method for processing electrocardiographic data according to claim 1, wherein before comparing the target electrocardiogram with the historical electrocardiogram of the user for a preset time period, the method further comprises:
determining the identity information of the user wearing the wearable device through the identity number of the user, and determining whether a historical electrocardiogram of the user in a preset time period exists in the preset database according to the identity information of the user and the acquisition time; the preset time period is a time period which is before the acquisition time and is adjacent to the acquisition time;
when the historical electrocardiogram of the user in the preset time period exists in the preset database, deriving the historical electrocardiogram of the user in the preset time period from the preset database;
when the historical electrocardiogram of the user does not exist in the preset time period, detecting the historical electrocardiogram of the user in a preset number of time units before the preset time period in the preset database by taking the duration of the preset time period as a time unit, and when the historical electrocardiogram of the user is detected, deriving the historical electrocardiogram of the user in the preset time period from the preset database.
4. The method for processing electrocardiographic data according to claim 3, further comprising, after detecting the historical electrocardiograph of the user within a preset number of time units before the preset time period:
when the historical electrocardiograms of the user are not detected in a preset number of time units before the preset time period, determining all the historical times corresponding to the time points of the acquisition time, determining the historical time closest to the acquisition time from all the historical times, and deriving the historical electrocardiograms associated with the historical time closest to the acquisition time from the preset database.
5. The method for processing electrocardiographic data according to claim 3, wherein the determining the identity information of the user wearing the wearable device by the identity number of the user includes:
inquiring the number of the identity numbers of the users in a user database; the identity number is a number generated for the identity information of the user after the user wears the wearable device;
when the number of the identity numbers of the user is one, determining the identity information of the user corresponding to the identity numbers;
when the number of the identity numbers of the user is more than two, the identity information of the user is determined according to the degree of tightness of wearing the wearable equipment; associating one of said tightness degrees with identity information of one of said users; the degree of tightness is obtained according to sensing equipment installed on the wearable equipment.
6. The method for processing electrocardiographic data according to claim 1, wherein the concatenating all of the second electrocardiographic data according to the acquisition time further comprises:
judging whether preset interruption occurs in the acquisition time in series connection;
and if the preset interruption phenomenon occurs, clearing all the second electrocardiogram data, and acquiring the first electrocardiogram data of the user again through the sensor module installed in the wearable device.
7. The method for processing electrocardiographic data according to claim 1, wherein the storing the target electrocardiogram and the acquisition time in association with a preset database further comprises:
after receiving a health monitoring instruction sent by the user, selecting an electrocardiogram in a preset time range from the preset database according to the acquisition time, and acquiring the heart rate data of the user monitored by the sensor module;
comparing second electrocardiogram data in the target electrocardiogram with the heart rate data to acquire health monitoring information;
and displaying the health monitoring information, the heart rate data, the electrocardiogram and the target electrocardiogram to the preset data interface at the same time.
8. An electrocardiographic data processing apparatus, comprising:
the recording module is used for acquiring first electrocardiogram data of a user through a sensor module installed in the wearable device and recording the acquisition time of the first electrocardiogram data;
the conversion module is used for judging whether the first electrocardiogram data has a preset data error or not, and if the first electrocardiogram data does not have the preset data error, performing data conversion on the first electrocardiogram data to obtain second electrocardiogram data;
the acquisition module is used for serially connecting all the second electrocardiogram data according to the acquisition time, sending the serially connected second electrocardiogram data to electrocardiogram data conversion equipment through a target serial port, and acquiring a target electrocardiogram converted by the electrocardiogram data conversion equipment according to the second electrocardiogram data;
the storage module is used for comparing the target electrocardiogram with a historical electrocardiogram of the user within a preset time period to obtain a comparison result, generating electrocardiogram state information according to the comparison result, displaying the target electrocardiogram and the electrocardiogram state information to a preset data interface of the user at the same time, and storing the target electrocardiogram and the acquisition time into a preset database in an associated manner.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the electrocardiographic data processing method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, implements the electrocardiographic data processing method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911144042.1A CN110859613B (en) | 2019-11-20 | 2019-11-20 | Electrocardiogram data processing device, computer device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911144042.1A CN110859613B (en) | 2019-11-20 | 2019-11-20 | Electrocardiogram data processing device, computer device, and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110859613A true CN110859613A (en) | 2020-03-06 |
| CN110859613B CN110859613B (en) | 2022-07-22 |
Family
ID=69656453
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911144042.1A Active CN110859613B (en) | 2019-11-20 | 2019-11-20 | Electrocardiogram data processing device, computer device, and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110859613B (en) |
Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4173971A (en) * | 1977-08-29 | 1979-11-13 | Karz Allen E | Continuous electrocardiogram monitoring method and system for cardiac patients |
| US8332017B2 (en) * | 2006-12-01 | 2012-12-11 | Obs Medical Limited | Method of biomedical signal analysis including improved automatic segmentation |
| CN103720469A (en) * | 2014-01-02 | 2014-04-16 | 山东大学 | Wearable type dynamitic maternal fetus electrocardio-detecting device |
| CN103800003A (en) * | 2014-01-21 | 2014-05-21 | 杭州电子科技大学 | ECG detection method and detector |
| WO2014187859A1 (en) * | 2013-05-23 | 2014-11-27 | Getemed Medizin- Und Informationstechnik Ag | Assembly for providing a long-term ecg |
| CN104188652A (en) * | 2014-09-09 | 2014-12-10 | 广东工业大学 | Real-time control method and system for electrocardiogram data quality |
| CN104783783A (en) * | 2015-04-23 | 2015-07-22 | 康泰医学系统（秦皇岛）股份有限公司 | Method for handheld electrocardio detector to automatically start electrocardiogram recording |
| CN105807918A (en) * | 2016-03-03 | 2016-07-27 | 宇龙计算机通信科技(深圳)有限公司 | Control method, control device and wearable intelligent equipment |
| CN206007242U (en) * | 2016-05-13 | 2017-03-15 | 赵伟 | A kind of wearable cardiac rhythm monitoring device |
| CN106725433A (en) * | 2016-12-30 | 2017-05-31 | 包磊 | A kind of cardioelectric monitor method and system |
| CN206270672U (en) * | 2016-10-27 | 2017-06-20 | 深圳市健云互联科技有限公司 | It is a kind of with can 360 degree of intelligent watch of rotating camera |
| CN107714024A (en) * | 2016-08-10 | 2018-02-23 | 安徽华米信息科技有限公司 | For monitoring the method, system and device of cardiomotility |
| US20180168472A1 (en) * | 2016-12-21 | 2018-06-21 | Industry-Academic Cooperation Foundation Chosun University | Method for generating electrocardiogram for identifying a person and method for identifying a person using the electrocardiogram |
| CN108261196A (en) * | 2018-01-17 | 2018-07-10 | 深圳市是源医学科技有限公司 | Electrocardioelectrode dropping detection method, device, computer equipment and storage medium |
| CN108537030A (en) * | 2018-04-18 | 2018-09-14 | 北京旷视科技有限公司 | Management method, device and the electronic equipment of identity-based identification |
| CN108836310A (en) * | 2018-07-13 | 2018-11-20 | 希蓝科技（北京）有限公司 | A kind of method and system for judging automatically user's electrocardio state based on artificial intelligence |
| CN109411042A (en) * | 2018-02-24 | 2019-03-01 | 深圳市凯沃尔电子有限公司 | Ecg information processing method and electro cardio signal workstation |
| CN109431489A (en) * | 2018-09-28 | 2019-03-08 | 上海优加利健康管理有限公司 | Artificial intelligence electrocardiogram dynamic real-time analysis system |
| CN109700456A (en) * | 2019-01-30 | 2019-05-03 | 山东师范大学 | The wearable online cardioelectric monitor of one kind and cardiac function evaluation system |
| CN109805899A (en) * | 2019-03-26 | 2019-05-28 | 河南省贝威科技有限公司 | Wearable electrocardiosignal monitoring device |
| WO2019217622A1 (en) * | 2018-05-09 | 2019-11-14 | Biosig Technologies, Inc. | Systems and methods to display signals based on a signal characteristic |
-
2019
- 2019-11-20 CN CN201911144042.1A patent/CN110859613B/en active Active
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4173971A (en) * | 1977-08-29 | 1979-11-13 | Karz Allen E | Continuous electrocardiogram monitoring method and system for cardiac patients |
| US8332017B2 (en) * | 2006-12-01 | 2012-12-11 | Obs Medical Limited | Method of biomedical signal analysis including improved automatic segmentation |
| WO2014187859A1 (en) * | 2013-05-23 | 2014-11-27 | Getemed Medizin- Und Informationstechnik Ag | Assembly for providing a long-term ecg |
| CN103720469A (en) * | 2014-01-02 | 2014-04-16 | 山东大学 | Wearable type dynamitic maternal fetus electrocardio-detecting device |
| CN103800003A (en) * | 2014-01-21 | 2014-05-21 | 杭州电子科技大学 | ECG detection method and detector |
| CN104188652A (en) * | 2014-09-09 | 2014-12-10 | 广东工业大学 | Real-time control method and system for electrocardiogram data quality |
| CN104783783A (en) * | 2015-04-23 | 2015-07-22 | 康泰医学系统（秦皇岛）股份有限公司 | Method for handheld electrocardio detector to automatically start electrocardiogram recording |
| CN105807918A (en) * | 2016-03-03 | 2016-07-27 | 宇龙计算机通信科技(深圳)有限公司 | Control method, control device and wearable intelligent equipment |
| CN206007242U (en) * | 2016-05-13 | 2017-03-15 | 赵伟 | A kind of wearable cardiac rhythm monitoring device |
| CN107714024A (en) * | 2016-08-10 | 2018-02-23 | 安徽华米信息科技有限公司 | For monitoring the method, system and device of cardiomotility |
| CN206270672U (en) * | 2016-10-27 | 2017-06-20 | 深圳市健云互联科技有限公司 | It is a kind of with can 360 degree of intelligent watch of rotating camera |
| US20180168472A1 (en) * | 2016-12-21 | 2018-06-21 | Industry-Academic Cooperation Foundation Chosun University | Method for generating electrocardiogram for identifying a person and method for identifying a person using the electrocardiogram |
| CN106725433A (en) * | 2016-12-30 | 2017-05-31 | 包磊 | A kind of cardioelectric monitor method and system |
| CN108261196A (en) * | 2018-01-17 | 2018-07-10 | 深圳市是源医学科技有限公司 | Electrocardioelectrode dropping detection method, device, computer equipment and storage medium |
| CN109411042A (en) * | 2018-02-24 | 2019-03-01 | 深圳市凯沃尔电子有限公司 | Ecg information processing method and electro cardio signal workstation |
| CN108537030A (en) * | 2018-04-18 | 2018-09-14 | 北京旷视科技有限公司 | Management method, device and the electronic equipment of identity-based identification |
| WO2019217622A1 (en) * | 2018-05-09 | 2019-11-14 | Biosig Technologies, Inc. | Systems and methods to display signals based on a signal characteristic |
| CN108836310A (en) * | 2018-07-13 | 2018-11-20 | 希蓝科技（北京）有限公司 | A kind of method and system for judging automatically user's electrocardio state based on artificial intelligence |
| CN109431489A (en) * | 2018-09-28 | 2019-03-08 | 上海优加利健康管理有限公司 | Artificial intelligence electrocardiogram dynamic real-time analysis system |
| CN109700456A (en) * | 2019-01-30 | 2019-05-03 | 山东师范大学 | The wearable online cardioelectric monitor of one kind and cardiac function evaluation system |
| CN109805899A (en) * | 2019-03-26 | 2019-05-28 | 河南省贝威科技有限公司 | Wearable electrocardiosignal monitoring device |
Non-Patent Citations (1)
| Title |
|---|
| 王均乔: "基于单片机的心电信号实时滤波算法设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110859613B (en) | 2022-07-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2992820A2 (en) | Measuring blood pressure | |
| CN108024740B (en) | Blood pressure measuring method, blood pressure measuring device and terminal | |
| EP3981321A1 (en) | Electrocardiogram display device, electrocardiogram display method, and program | |
| CN109009084B (en) | QRS wave group calibration method, device, equipment and medium for multi-lead electrocardiosignal | |
| Al-Hamadi et al. | Formal validation of QRS wave within ECG | |
| US11571169B2 (en) | Probability-based detector and controller apparatus, method, computer program | |
| CN105488331B (en) | Data processing method and device | |
| CN115581465A (en) | Coronary heart disease risk assessment method and device, and sudden cardiac death risk assessment method and system | |
| WO2010041019A2 (en) | Improvements in or relating to multi-parameter monitoring | |
| CN110859613B (en) | Electrocardiogram data processing device, computer device, and storage medium | |
| US20210298612A1 (en) | Arterial stiffness display method, system and apparatus | |
| Taborri et al. | Automatic identification and counting of repetitive actions related to an industrial worker | |
| CN111128326A (en) | Community patient monitoring method and system based on target tracking | |
| KR20220116419A (en) | Method, apparatus and computer program for predicting occurrence of shock in patients using artificial intelligence | |
| Al-Zaiti et al. | The role of automated 12-lead ECG interpretation in the diagnosis and risk stratification of cardiovascular disease | |
| JP2002233513A (en) | Electrocardiogram information display system | |
| KR20210135942A (en) | Method, apparatus and computer program for predicting occurrence of shock in patients using artificial intelligence | |
| CN112120689A (en) | Method and device for quickly marking long-range electrocardiogram data | |
| CN111956198A (en) | Equipment state determination method and device | |
| CN101264012A (en) | Blood pressure determination data processing device and data analysis method thereof | |
| WO2023032178A1 (en) | Determination device, determination method, and storage medium | |
| WO2023187987A1 (en) | Electrocardiogram evaluation method | |
| CN117219267B (en) | Method, apparatus, device and medium for simulating and diagnosing malignant hyperthermia | |
| CN114190951B (en) | ECG signal processing method, system, device and medium | |
| EP4119037A1 (en) | Processing selection program, processing selection system, and processing selection method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |