CN110403596A - Electrocardiogram monitor system and its method based on Internet of Things - Google Patents
Electrocardiogram monitor system and its method based on Internet of Things Download PDFInfo
- Publication number
- CN110403596A CN110403596A CN201910668435.6A CN201910668435A CN110403596A CN 110403596 A CN110403596 A CN 110403596A CN 201910668435 A CN201910668435 A CN 201910668435A CN 110403596 A CN110403596 A CN 110403596A
- Authority
- CN
- China
- Prior art keywords
- electrocardiogram
- ecg
- data
- things
- internet
- 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.)
- Pending
Links
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
- 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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The invention discloses a kind of electrocardiogram monitor system and its method based on Internet of Things, the electrocardiogram monitor system provided by the invention based on Internet of Things acquire electrocardiogram (ECG) data using electrocardio-data collection equipment in real time；Electrocardiogram (ECG) data analysis platform receives the electrocardiogram (ECG) data in preset time recycles, and judges the status information of the electrocardiogram (ECG) data；When the electrocardiogram (ECG) data is abnormality, the electrocardiogram (ECG) data analysis platform extracts the corresponding user information of the electrocardiogram (ECG) data；And by reminding terminal to receive the corresponding user information of abnormal electrocardiogram data, and warning message is generated to alarm.It diagnoses and alarms anticipation so as to transmit the cardioelectric monitor data of patient in time.
Description
Technical field
The present invention relates to cardiac monitoring technical field more particularly to a kind of electrocardiogram monitor systems and its side based on Internet of Things
Method.
Background technique
Cardiac monitoring is to monitor a kind of means of cardiac electrical activity.And Internet of Things is connect by all kinds of possible networks
Enter, realize object and object, object and the ubiquitous connection of people, realizes intelligent perception, identification and management to article and process, it is existing
Electrocardiogram monitor system can be monitored patient, diagnose and alarm anticipation in the cardioelectric monitor data for needing to transmit patient
When, the problem of being easy to appear delay or network interruption.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.For this purpose, of the invention
First purpose is to propose a kind of electrocardiogram monitor system based on Internet of Things, set including the electrocardio-data collection based on Internet of Things
Standby, electrocardiogram (ECG) data analysis platform and prompting terminal；
The electrocardio-data collection equipment, for acquiring electrocardiogram (ECG) data in real time；
The electrocardiogram (ECG) data analysis platform, for receiving the electrocardiogram (ECG) data in preset time recycles, and described in judgement
The status information of electrocardiogram (ECG) data；
When the electrocardiogram (ECG) data is abnormality, it is corresponding that the electrocardiogram (ECG) data analysis platform extracts the electrocardiogram (ECG) data
User information；
The prompting terminal for receiving the corresponding user information of abnormal electrocardiogram data, and generates warning message to carry out
Alarm.
Preferably, the electrocardiogram (ECG) data analysis platform includes receiving module, analysis module and extraction module；
The receiving module receives electrocardiogram (ECG) data for circulation within a preset time；Wherein, the electrocardiogram (ECG) data is multiple
Electrocardio-data collection equipment multiple electrocardiogram (ECG) datas collected；
The analysis module, for analyzing multiple hearts in preset time according to the multiple electrocardiogram (ECG) datas received
The status information of electric data is with the electrocardiogram (ECG) data of output abnormality state；Wherein, each electrocardiogram (ECG) data corresponds to different users；
The extraction module, for extracting the corresponding user information of the electrocardiogram (ECG) data of abnormality；Wherein, the user
Information includes ward number, bed label and name.
Preferably, the analysis module includes recording unit, acquiring unit, judging unit and determination unit；
The recording unit, for when receiving multiple electrocardiogram (ECG) datas, recording each electrocardiogram (ECG) data respectively
Wavelength image information；
The acquiring unit, for from the wavelength image information obtained in the wavelength image information in current slot
Changing value；
The judging unit, for being judged by default electrocardiogram (ECG) data model the changing value；Wherein, described pre-
If electrocardiogram (ECG) data model includes the multiple wavelength image information stored in historical time；
The determination unit, for determining when the preset threshold difference of the changing value and default electrocardiogram (ECG) data model
Wavelength image information in the current slot is the electrocardiogram (ECG) data of abnormality to export to the prompting terminal.
Preferably, the judging unit includes training subelement；
The trained subelement is used for when the changing value is abnormality, and the abnormality electrocardiogram (ECG) data is defeated
Enter the default electrocardiogram (ECG) data model to be trained, to generate the default electrocardiogram (ECG) data model.
Preferably, the judging unit further includes replacement subelement；
The replacement subelement is used for when the electrocardiogram (ECG) data is normal condition, by the wave in the current slot
Long image information replaces the wavelength image information stored in historical time in the default electrocardiogram (ECG) data model.
The present invention also provides a kind of electrocardio monitoring method based on Physical Network, the method is applied to cardiac monitoring system
System, the electrocardiogram monitor system include electrocardio-data collection equipment, electrocardiogram (ECG) data analysis platform and prompting end based on Internet of Things
End, wherein the electrocardio monitoring method includes:
The electrocardio-data collection equipment acquires electrocardiogram (ECG) data in real time；
The electrocardiogram (ECG) data analysis platform receives the electrocardiogram (ECG) data in preset time recycles, and judges the electrocardio number
According to status information；
When the electrocardiogram (ECG) data is abnormality, it is corresponding that the electrocardiogram (ECG) data analysis platform extracts the electrocardiogram (ECG) data
User information；
The prompting terminal receives the corresponding user information of abnormal electrocardiogram data, and generates warning message to alarm.
Preferably, the electrocardiogram (ECG) data analysis platform receives the electrocardiogram (ECG) data in preset time recycles, and judges institute
The status information for stating electrocardiogram (ECG) data specifically includes:
Receiving module recycles within a preset time receives electrocardiogram (ECG) data；Wherein, the electrocardiogram (ECG) data is multiple electrocardiogram (ECG) datas
Acquire equipment multiple electrocardiogram (ECG) datas collected；
Analysis module analyzes the shape of multiple electrocardiogram (ECG) datas in preset time according to the multiple electrocardiogram (ECG) datas received
State information is with the electrocardiogram (ECG) data of output abnormality state；Wherein, each electrocardiogram (ECG) data corresponds to different users；
Extraction module extracts the corresponding user information of the electrocardiogram (ECG) data of abnormality；Wherein, the user information includes
Ward number, bed label and name.
Preferably, the analysis module is analyzed multiple described in preset time according to the multiple electrocardiogram (ECG) datas received
The status information of electrocardiogram (ECG) data is specifically included with the electrocardiogram (ECG) data of output abnormality state:
When recording unit receives multiple electrocardiogram (ECG) datas, the wavelength image of each electrocardiogram (ECG) data is recorded respectively
Information；
Changing value of the acquiring unit from the wavelength image information obtained in the wavelength image information in current slot；
Judging unit judges the changing value by default electrocardiogram (ECG) data model；Wherein, the default electrocardio number
It include the multiple wavelength image information stored in historical time according to model；
When the preset threshold difference of the changing value and default electrocardiogram (ECG) data model, when determination unit determines described current
Between wavelength image information in section be the electrocardiogram (ECG) data of abnormality to export to the prompting terminal.
Preferably, the judging unit carries out judging to specifically include by default electrocardiogram (ECG) data model to the changing value:
When the changing value is abnormality, training subelement is described default by abnormality electrocardiogram (ECG) data input
Electrocardiogram (ECG) data model is trained, to generate the default electrocardiogram (ECG) data model.
Preferably, the judging unit judges the changing value by default electrocardiogram (ECG) data model further include:
When the electrocardiogram (ECG) data is normal condition, subelement is replaced by the wavelength image information in the current slot
Replace the wavelength image information stored in historical time in the default electrocardiogram (ECG) data model.
Electrocardiogram monitor system provided by the invention based on Internet of Things acquires electrocardio using electrocardio-data collection equipment in real time
Data；Electrocardiogram (ECG) data analysis platform receives the electrocardiogram (ECG) data in preset time recycles, and judges the shape of the electrocardiogram (ECG) data
State information；When the electrocardiogram (ECG) data is abnormality, it is corresponding that the electrocardiogram (ECG) data analysis platform extracts the electrocardiogram (ECG) data
User information；And by reminding terminal to receive the corresponding user information of abnormal electrocardiogram data, and warning message is generated to be reported
It is alert.It diagnoses and alarms anticipation so as to transmit the cardioelectric monitor data of patient in time.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
The structure shown according to these attached drawings obtains other attached drawings.
Fig. 1 is the structural schematic diagram of the electrocardiogram monitor system provided by the invention based on Internet of Things；
Fig. 2 is the structural schematic diagram of electrocardiogram (ECG) data analysis platform provided by the invention；
Fig. 3 is the structural schematic diagram of analysis module provided by the invention；
Fig. 4 is the structural schematic diagram of judging unit provided by the invention；
Fig. 5 is the step flow chart of the electrocardiogram monitor system provided by the invention based on Internet of Things.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not considered as limiting the invention.
Shown in referring to Fig.1, the electrocardiogram monitor system provided by the invention based on Internet of Things, including the electrocardio based on Internet of Things
Data acquisition equipment, electrocardiogram (ECG) data analysis platform and prompting terminal.
Electrocardio-data collection equipment, for acquiring electrocardiogram (ECG) data in real time.
Wherein, electrocardio-data collection equipment can be the equipment such as ECG monitor, for carrying out the electrocardiogram (ECG) data of patient
It acquires and stores in real time, multiple electrocardio-data collection equipment are connected into electrocardiogram (ECG) data analysis platform and multiple promptings by Internet of Things
Terminal realizes that quickly transmission calculates electrocardiogram (ECG) data, so that medical staff can be transmitted and be calculated by Internet of Things
Electrocardiogram (ECG) data carries out analyzing and diagnosing, and real-time perfoming early warning.
Electrocardiogram (ECG) data analysis platform receives electrocardiogram (ECG) data for circulation within a preset time, and judges the shape of electrocardiogram (ECG) data
State information；When electrocardiogram (ECG) data is abnormality, electrocardiogram (ECG) data analysis platform extracts the corresponding user information of electrocardiogram (ECG) data.
Referring to shown in Fig. 2, electrocardiogram (ECG) data analysis platform provided by the invention specifically includes receiving module, analysis module and mentions
Modulus block；Its specific implementation includes:
Receiving module receives electrocardiogram (ECG) data for circulation within a preset time；Wherein, electrocardiogram (ECG) data is multiple electrocardiogram (ECG) datas
Acquire equipment multiple electrocardiogram (ECG) datas collected.
Analysis module, for analyzing multiple electrocardiogram (ECG) datas in preset time according to the multiple electrocardiogram (ECG) datas received
Status information is with the electrocardiogram (ECG) data of output abnormality state；Wherein, each electrocardiogram (ECG) data corresponds to different users.
Extraction module, for extracting the corresponding user information of the electrocardiogram (ECG) data of abnormality；Wherein, user information includes
Ward number, bed label and name.
Wherein, electrocardiogram (ECG) data analysis platform is to be based on Internet of Things for multiple electrocardio-data collection equipment and multiple prompting terminals
Carry out data transmission connecting, electrocardiogram (ECG) data analysis platform can recycle reception electrocardio-data collection equipment within a preset time and be adopted
The electrocardiogram (ECG) data of collection, wherein preset time can be used as a cycle, for example can be 24 hours, recycles and connects in 24 hours
Electrocardiogram (ECG) data is received, therefore can be used as a cycle and electrocardiogram (ECG) data is analyzed in electrocardiogram (ECG) data analysis platform, Neng Goushi
When guarantee data be persistently updated；When electrocardio Data Analysis Platform analysis multiple electrocardiogram (ECG) datas in there is abnormality
When, electrocardiogram (ECG) data analysis platform can extract the corresponding user information of the electrocardiogram (ECG) data, and be sent to prompting terminal, optional
, user information can be expression patient information.
Terminal is reminded, for receiving the corresponding user information of abnormal electrocardiogram data, and generates warning message to alarm.
Wherein, it reminds terminal to can be mobile phone or the alarm system at medical care station of medical staff etc., reminds terminal can be with
Received user information is used to alarm, so that medical staff be reminded in time to succour patient.
Referring to shown in Fig. 3, above-mentioned analysis module includes recording unit, acquiring unit, judging unit and determination unit；Its
Specific implementation includes:
Recording unit, the wavelength image for when receiving multiple electrocardiogram (ECG) datas, recording each electrocardiogram (ECG) data respectively are believed
Breath.
Acquiring unit, for the changing value from the wavelength image information obtained in wavelength image information in current slot.
Judging unit, for being judged by default electrocardiogram (ECG) data model changing value；Wherein, electrocardiogram (ECG) data mould is preset
Type includes the multiple wavelength image information stored in historical time.
Determination unit, for determining current time when the preset threshold difference of changing value and default electrocardiogram (ECG) data model
Wavelength image information in section is the electrocardiogram (ECG) data of abnormality to export to prompting terminal.
Wherein, recording unit records multiple electrocardiogram (ECG) datas, and the wavelength information in each electrocardiogram (ECG) data is not
Together, for example, the wavelength image information between different patients has different differences；Therefore, the electrocardiogram (ECG) data of different patients is carried out
It records and carries out subsequent analysis judgement respectively.
Further, acquiring unit can carry out obtaining its changing value from wavelength image information, wherein in current time
It can be within 1 minute, changing value can be calculated based on Internet of Things, for example the normal value depth of Q wave should be less than same lead R wave
1/4, width answers < 0.04s, such as claim abnormality Q wave beyond normal range (NR), by calculating changing value of the Q wave within 1 minute, from
And judging unit will be judged between changing value and preset threshold, wherein preset threshold, which can be, indicates normal wave
The changing value of long image information, it is worth mentioning at this point that, by carrying out cycle calculations to wavelength image information, to analyze current
Changing value in time can determine in time whether patient exception occurs.
Wherein, the calculation formula of changing value may is that
S indicates changing value, xiIndicate next wavelength value, xi-1Indicate a upper wavelength value, n table
The long sum of oscillography, calculates the wavelength image information in current slot using above-mentioned calculation formula, to obtain its change
Change value, and the normal wavelength image information stored in historical time is calculated using above-mentioned formula, to calculate
To the preset threshold of default electrocardiogram (ECG) data model.
Referring to shown in Fig. 4, judging unit includes training subelement；Its specific implementation includes:
Training subelement, for when changing value is abnormality, abnormality electrocardiogram (ECG) data to be inputted electrocardiogram (ECG) data mould
Type is trained, to generate abnormal electrocardiogram data model.
Wherein, training subelement, which inputs electrocardiogram (ECG) data in electrocardiogram (ECG) data model to be trained, can use different wave length
Weighted value is trained electrocardiogram (ECG) data, to generate abnormal electrocardiogram data model, uses the abnormal electrocardiogram data mould subsequent
When type is analyzed, then different wavelength can be determined to influence caused by patient, so as to more precisely to it
It is treated.
Further, judging unit further includes replacement subelement；Its specific implementation includes:
Subelement is replaced, when electrocardiogram (ECG) data is normal condition, the wavelength image information in current slot is replaced pre-
If the wavelength image information stored in historical time in electrocardiogram (ECG) data model.
Wherein, replacement subelement first deletes the normal electrocardiogram (ECG) data stored in historical time, optionally, history
Before time can be but not limited to 2 hours, the electrocardiogram (ECG) data that historical time is stored is deleted and is replaced, so as to so that
Its memory space can be guaranteed by obtaining electrocardiogram (ECG) data analysis platform, and the electrocardiogram (ECG) data that can obtain update carries out monitoring instruction.
The present invention also provides a kind of electrocardio monitoring methods based on Physical Network, are applied to electrocardiogram monitor system, electrocardio
Monitor system includes electrocardio-data collection equipment, electrocardiogram (ECG) data analysis platform and prompting terminal based on Internet of Things, wherein electrocardio
Monitoring method includes:
Step S10, electrocardio-data collection equipment acquire electrocardiogram (ECG) data in real time；
Step S20, electrocardiogram (ECG) data analysis platform recycles inscribed receipts electrocardiogram (ECG) data in preset time, and judges electrocardiogram (ECG) data
Status information；When electrocardiogram (ECG) data is abnormality, electrocardiogram (ECG) data analysis platform extracts the corresponding user information of electrocardiogram (ECG) data；
Step S40 reminds terminal to receive the corresponding user information of abnormal electrocardiogram data, and generates warning message to be reported
It is alert.
Electrocardio monitoring method provided by the invention based on Internet of Things acquires electrocardio using electrocardio-data collection equipment in real time
Data；Electrocardiogram (ECG) data analysis platform recycles inscribed receipts electrocardiogram (ECG) data in preset time, and judges the status information of electrocardiogram (ECG) data；When
When electrocardiogram (ECG) data is abnormality, electrocardiogram (ECG) data analysis platform extracts the corresponding user information of electrocardiogram (ECG) data；And by reminding eventually
End receives the corresponding user information of abnormal electrocardiogram data, and generates warning message to alarm.So as to transmit trouble in time
The cardioelectric monitor data of person diagnose and alarm anticipation.
In a specific embodiment of the present invention, the specific implementation of above-mentioned steps S20 includes: receiving module when default
Interior circulation receives electrocardiogram (ECG) data；Wherein, electrocardiogram (ECG) data is multiple electrocardio-data collection equipment multiple electrocardiogram (ECG) datas collected；
Analysis module analyzes the status information of multiple electrocardiogram (ECG) datas in preset time according to the multiple electrocardiogram (ECG) datas received to export
The electrocardiogram (ECG) data of abnormality；Wherein, each electrocardiogram (ECG) data corresponds to different users；Extraction module is by the electrocardio number of abnormality
It is extracted according to corresponding user information；Wherein, user information includes ward number, bed label and name.
In a specific embodiment of the present invention, the above method further include: when recording unit receives multiple electrocardiogram (ECG) datas,
The wavelength image information of each electrocardiogram (ECG) data is recorded respectively；Acquiring unit obtains in current slot from wavelength image information
The changing value of wavelength image information；Judging unit judges changing value by default electrocardiogram (ECG) data model；Wherein, the heart is preset
Electric data model includes the multiple wavelength image information stored in historical time；It is pre- when changing value and default electrocardiogram (ECG) data model
If when threshold value difference, determination unit determine the wavelength image information in current slot be abnormality electrocardiogram (ECG) data to export
To prompting terminal.
Optionally, the above method further include: when changing value is abnormality, train subelement by abnormality electrocardio number
It is trained according to default electrocardiogram (ECG) data model is inputted, to generate default electrocardiogram (ECG) data model；When electrocardiogram (ECG) data is normal condition,
Wavelength image information in current slot is replaced in default electrocardiogram (ECG) data model and is stored in historical time by replacement subelement
Wavelength image information.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this
Under the inventive concept of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/use indirectly
It is included in other related technical areas in scope of patent protection of the invention.
Claims (10)
1. a kind of electrocardiogram monitor system based on Internet of Things, which is characterized in that set including the electrocardio-data collection based on Internet of Things
Standby, electrocardiogram (ECG) data analysis platform and prompting terminal；
The electrocardio-data collection equipment, for acquiring electrocardiogram (ECG) data in real time；
The electrocardiogram (ECG) data analysis platform receives the electrocardiogram (ECG) data for circulation within a preset time, and judges the electrocardio
The status information of data；
When the electrocardiogram (ECG) data is abnormality, the electrocardiogram (ECG) data analysis platform extracts the corresponding user of the electrocardiogram (ECG) data
Information；
The prompting terminal for receiving the corresponding user information of abnormal electrocardiogram data, and generates warning message to alarm.
2. the electrocardiogram monitor system according to claim 1 based on Internet of Things, which is characterized in that the electrocardiogram (ECG) data analysis
Platform includes receiving module, analysis module and extraction module；
The receiving module receives electrocardiogram (ECG) data for circulation within a preset time；Wherein, the electrocardiogram (ECG) data is multiple electrocardios
Data acquisition equipment multiple electrocardiogram (ECG) datas collected；
The analysis module, for analyzing multiple electrocardio numbers in preset time according to the multiple electrocardiogram (ECG) datas received
According to status information with the electrocardiogram (ECG) data of output abnormality state；Wherein, each electrocardiogram (ECG) data corresponds to different users；
The extraction module, for extracting the corresponding user information of the electrocardiogram (ECG) data of abnormality；Wherein, the user information
Including ward number, bed label and name.
3. the electrocardiogram monitor system according to claim 2 based on Internet of Things, which is characterized in that the analysis module includes
Recording unit, acquiring unit, judging unit and determination unit；
The recording unit, for when receiving multiple electrocardiogram (ECG) datas, recording the wave of each electrocardiogram (ECG) data respectively
Long image information；
The acquiring unit, for the variation from the wavelength image information obtained in the wavelength image information in current slot
Value；
The judging unit, for being judged by default electrocardiogram (ECG) data model the changing value；Wherein, the default heart
Electric data model includes the multiple wavelength image information stored in historical time；
The determination unit, described in determining when the preset threshold difference of the changing value and default electrocardiogram (ECG) data model
Wavelength image information in current slot is the electrocardiogram (ECG) data of abnormality to export to the prompting terminal.
4. the electrocardiogram monitor system according to claim 3 based on Internet of Things, which is characterized in that the judging unit includes
Training subelement；
The trained subelement, for when the changing value is abnormality, the abnormality electrocardiogram (ECG) data to be inputted institute
It states default electrocardiogram (ECG) data model to be trained, to generate the default electrocardiogram (ECG) data model.
5. the electrocardiogram monitor system according to claim 3 or 4 based on Internet of Things, which is characterized in that the judging unit
It further include replacement subelement；
The replacement subelement is used for when the electrocardiogram (ECG) data is normal condition, by the wavelength graph in the current slot
As information replaces the wavelength image information stored in historical time in the default electrocardiogram (ECG) data model.
6. a kind of electrocardio monitoring method based on Internet of Things, which is characterized in that the method is applied to electrocardiogram monitor system, described
Electrocardiogram monitor system includes electrocardio-data collection equipment, electrocardiogram (ECG) data analysis platform and prompting terminal based on Internet of Things, wherein
The electrocardio monitoring method includes:
The electrocardio-data collection equipment acquires electrocardiogram (ECG) data in real time；
The electrocardiogram (ECG) data analysis platform recycles within a preset time receives the electrocardiogram (ECG) data, and judges the electrocardiogram (ECG) data
Status information；
When the electrocardiogram (ECG) data is abnormality, the electrocardiogram (ECG) data analysis platform extracts the corresponding user of the electrocardiogram (ECG) data
Information；
The prompting terminal receives the corresponding user information of abnormal electrocardiogram data, and generates warning message to alarm.
7. the electrocardiogram monitor system according to claim 6 based on Internet of Things, which is characterized in that the electrocardiogram (ECG) data analysis
Platform receives the electrocardiogram (ECG) data in preset time recycles, and judges that the status information of the electrocardiogram (ECG) data specifically includes:
Receiving module recycles within a preset time receives electrocardiogram (ECG) data；Wherein, the electrocardiogram (ECG) data is multiple electrocardio-data collections
Equipment multiple electrocardiogram (ECG) datas collected；
Analysis module analyzes the state letter of multiple electrocardiogram (ECG) datas in preset time according to the multiple electrocardiogram (ECG) datas received
Breath is with the electrocardiogram (ECG) data of output abnormality state；Wherein, each electrocardiogram (ECG) data corresponds to different users；
Extraction module extracts the corresponding user information of the electrocardiogram (ECG) data of abnormality；Wherein, the user information includes ward
Number, bed label and name.
8. the electrocardiogram monitor system according to claim 7 based on Internet of Things, which is characterized in that the analysis module according to
The multiple electrocardiogram (ECG) datas received analyze the status information of multiple electrocardiogram (ECG) datas in preset time with output abnormality state
Electrocardiogram (ECG) data specifically include:
When recording unit receives multiple electrocardiogram (ECG) datas, the wavelength image letter of each electrocardiogram (ECG) data is recorded respectively
Breath；
Changing value of the acquiring unit from the wavelength image information obtained in the wavelength image information in current slot；
Judging unit judges the changing value by default electrocardiogram (ECG) data model；Wherein, the default electrocardiogram (ECG) data mould
Type includes the multiple wavelength image information stored in historical time；
When the preset threshold difference of the changing value and default electrocardiogram (ECG) data model, determination unit determines the current slot
Interior wavelength image information is the electrocardiogram (ECG) data of abnormality to export to the prompting terminal.
9. the electrocardiogram monitor system according to claim 8 based on Internet of Things, which is characterized in that the judging unit passes through
Default electrocardiogram (ECG) data model carries out judgement to the changing value and specifically includes:
When the changing value is abnormality, the abnormality electrocardiogram (ECG) data is inputted the default electrocardio by training subelement
Data model is trained, to generate the default electrocardiogram (ECG) data model.
10. the electrocardiogram monitor system based on Internet of Things according to claim 8 or claim 9, which is characterized in that the judging unit
The changing value is judged by default electrocardiogram (ECG) data model further include:
When the electrocardiogram (ECG) data is normal condition, replacement subelement replaces the wavelength image information in the current slot
The wavelength image information stored in historical time in the default electrocardiogram (ECG) data model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910668435.6A CN110403596A (en) | 2019-07-23 | 2019-07-23 | Electrocardiogram monitor system and its method based on Internet of Things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910668435.6A CN110403596A (en) | 2019-07-23 | 2019-07-23 | Electrocardiogram monitor system and its method based on Internet of Things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110403596A true CN110403596A (en) | 2019-11-05 |
Family
ID=68362643
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910668435.6A Pending CN110403596A (en) | 2019-07-23 | 2019-07-23 | Electrocardiogram monitor system and its method based on Internet of Things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110403596A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101268938A (en) * | 2008-04-30 | 2008-09-24 | 董军 | Method and apparatus for electrocardiogram recognition and specification |
| CN106859633A (en) * | 2017-01-06 | 2017-06-20 | 湖北工业大学 | Mobile ecg telemonitoring early warning system |
| CN108478209A (en) * | 2018-02-24 | 2018-09-04 | 乐普（北京）医疗器械股份有限公司 | Ecg information dynamic monitor method and dynamic monitor system |
| CN109009073A (en) * | 2018-07-20 | 2018-12-18 | 广州视源电子科技股份有限公司 | Atrial fibrillation detection device and storage medium |
-
2019
- 2019-07-23 CN CN201910668435.6A patent/CN110403596A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101268938A (en) * | 2008-04-30 | 2008-09-24 | 董军 | Method and apparatus for electrocardiogram recognition and specification |
| CN106859633A (en) * | 2017-01-06 | 2017-06-20 | 湖北工业大学 | Mobile ecg telemonitoring early warning system |
| CN108478209A (en) * | 2018-02-24 | 2018-09-04 | 乐普（北京）医疗器械股份有限公司 | Ecg information dynamic monitor method and dynamic monitor system |
| CN109009073A (en) * | 2018-07-20 | 2018-12-18 | 广州视源电子科技股份有限公司 | Atrial fibrillation detection device and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 潘如宝: "心电图_aVF导联边界性Q波的诊断现状", 《实用心电学杂志》 * |
| 王嘉慧，常青: "《实用心电图学与临床》", 30 August 2017 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP1381309B1 (en) | Adaptive selection of a warning limit in patient monitoring | |
| KR102085289B1 (en) | Method And System for Managing Pet Health | |
| US8723684B2 (en) | Bio-information monitoring system | |
| CN104523252B (en) | A kind of mobile health service method and system, mobile terminal | |
| CN107307855A (en) | Vehicular human health monitoring system and method based on wearable device | |
| AU2002338433A1 (en) | Adaptive selection of a warning limit in patient monitoring | |
| CN105943021A (en) | Wearable heart rhythm monitoring device and heart rhythm monitoring system | |
| JP2004532070A (en) | Data transmission between the remote monitoring unit and the central monitoring unit | |
| KR20140063100A (en) | Apparatus and methods for remote cardiac disease management | |
| CN108185988A (en) | The health detecting method and intelligent pillow of intelligent pillow based on hotel | |
| JPH11501241A (en) | Real-time biological signal monitoring system using wireless communication network | |
| CN108523879A (en) | A kind of electrocardiogram detection system and detection method | |
| CN109171686B (en) | Wearable medical equipment of intelligence and portable real-time supervision system of family | |
| WO2013131156A1 (en) | Method, system and apparatus for continuously monitoring the heart of a person | |
| CN110742595A (en) | Abnormal blood pressure monitoring system based on cognitive cloud system | |
| CN112037896A (en) | Intelligent cloud nurse assistant system for hemodialysis | |
| CN106377248A (en) | Brain information acquisition device, acquisition system and method | |
| CN114038578A (en) | Medical supervision system based on 5G | |
| Jun et al. | Wearable ECG recognition and monitor | |
| CN110403596A (en) | Electrocardiogram monitor system and its method based on Internet of Things | |
| CN116825337A (en) | Patient safety nursing early warning system | |
| CN114903449A (en) | Remote health monitoring system | |
| CN107890343A (en) | Health monitor method, device and electronic equipment | |
| CN113012823A (en) | Cloud platform system for electrocardiograph | |
| KR101459651B1 (en) | System for monitoring Electrocardiogram and method thereof |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191105 |