CN107714029A - A kind of ECG Telemonitor System - Google Patents
A kind of ECG Telemonitor System Download PDFInfo
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- CN107714029A CN107714029A CN201711160416.XA CN201711160416A CN107714029A CN 107714029 A CN107714029 A CN 107714029A CN 201711160416 A CN201711160416 A CN 201711160416A CN 107714029 A CN107714029 A CN 107714029A
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
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- A61B2560/02—Operational features
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
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Abstract
The invention discloses a kind of ECG Telemonitor System, including wearing type electrocardiogram acquisition device, smart mobile phone module and cloud server.Smart mobile phone module passes through mobile network or the communication connection of WLAN and cloud server.Wearing type electrocardiogram acquisition device gathers patient's physiological ecg signal and 3-axis acceleration data in real time；Smart mobile phone module analyzes electrocardiogram (ECG) data using intelligent analysis process and 3-axis acceleration data obtain electrocardio anticipation classification and human body attitude data；Cloud server gives electrocardiogram expert end browser electrocardiogram (ECG) data, anticipation classification and human body attitude data-pushing；Electrocardiogram expert provides diagnostic result according to the electrocardiogram of patient, anticipation classification and human body attitude data；Diagnostic result is pushed to patient's smart mobile phone module by cloud server, and final patient can view the diagnostic result of electrocardiogram expert, so as to reach the purpose that electrocardio long distance monitoring is carried out to patient.
Description
Technical field
The present invention relates to field of medical technology, more particularly to a kind of ECG Telemonitor System.
Background technology
In China, it is estimated that cardiovascular disease now suffers from number 2.9 hundred million, cardiovascular death rate ranks first, at the same time, China
Aging population crisis getting worse, and angiocardiopathy frequently-occurring disease, in mid-aged population, anti-angiocardiopathy, which is carved, not to be allowed
It is slow.Therefore a remote medical monitor platform is popularized, strengthens the cardiovascular health monitoring to general population and is very important.
In recent years, the rise of mobile communication technology and cloud computing technology provides newly for the development of telemedicine monitoring system
Opportunity, remote monitoring system gradually starts and smart mobile phone is combined with cloud computing technology, and its research is towards intelligent, portable
Formula, easy to operate, cheap direction continue to develop.
Research of the researcher of various countries in terms of the telemedicine monitoring system based on smart mobile phone and cloud computing has taken
Some progress highly significant were obtained, but some also be present to have the problem of to be solved：(1) tele-medicine based on cloud computing technology
Monitor system transmission via net architectural framework；(2) sensing system miniaturization and wearable design；(3) based on the long-range of cloud computing
Monitor system Software for Design.
The content of the invention
The problem of existing for above-mentioned telemedicine monitoring system, the present invention provide a kind of ECG Telemonitor System.
To realize ECG Telemonitor System provided by the invention, including：Wearing type electrocardiogram acquisition device, smart mobile phone module
And cloud server, the smart mobile phone module connect with the wearing type electrocardiogram acquisition device, cloud server communication respectively
Connect；Wherein,
The wearing type electrocardiogram acquisition device, for gathering the electrocardiogram (ECG) data and 3-axis acceleration data of patient in real time, simultaneously
Electrocardiogram (ECG) data and 3-axis acceleration data are sent to the smart mobile phone module；
The smart mobile phone module, for carrying out prejudging classification and 3-axis acceleration data to the electrocardiogram (ECG) data of reception
Human body attitude is resolved to, while electrocardiogram (ECG) data, electrocardio anticipation classification results, human body attitude data are sent to the cloud service
Device；It is additionally operable to receive and shows the diagnostic result for the electrocardiogram expert that cloud server pushes；
The cloud server, for electrocardiogram (ECG) data, electrocardio to be prejudged into classification results and human body attitude data-pushing to the heart
The browser at electrograph expert end；It is additionally operable to the diagnostic result of electrocardiogram expert pushing to the smart mobile phone module.
Preferably, the smart mobile phone module, including：
The intelligent analysis module, for analyzing and extracting the feature of patient's electrocardiogram (ECG) data, and pass through random forests algorithm
The model of foundation carries out anticipation classification to electrocardiogram (ECG) data, electrocardiogram (ECG) data is divided into normal and abnormal；It is additionally operable to a 3-axis acceleration
Data resolve to human body attitude；
The push processing module, the diagnosis knot of the electrocardiogram expert for receiving and showing the cloud server push
Fruit.
Preferably, the cloud server includes：Electrocardiographic diagnosis module based on browser；For by electrocardio number
Shown on a web browser according to, electrocardio anticipation classification results and human body attitude data.
Preferably, the cloud server also includes：Data memory module, for electrocardiogram (ECG) data, electrocardio to be appraised in advance
Class result and the diagnostic result of human body attitude data and electrocardiogram expert are stored beyond the clouds on distributed file server.
By adopting the above-described technical solution, the present invention has following benefit：
First, wearing type electrocardiogram acquisition device gathers patient's physiological ecg signal and 3-axis acceleration data in real time；Intelligent hand
Machine module analyzes electrocardiogram (ECG) data using intelligent analysis process and 3-axis acceleration data obtain electrocardio anticipation classification and human body attitude
Data；Cloud server gives electrocardiogram expert end browser electrocardiogram (ECG) data, anticipation classification and human body attitude data-pushing；Electrocardio
Figure expert provides diagnostic result according to the electrocardiogram of patient, anticipation classification and human body attitude data；Cloud server ties diagnosis
Fruit is pushed to patient's smart mobile phone module, and final patient can view the diagnostic result of electrocardiogram expert, so as to reach to suffering from
Person carries out the purpose of electrocardio long distance monitoring.
Secondly, the miniaturization and low power consumption of wearing type electrocardiogram acquisition device, can allow patient's comfortable wearing, and action is hardly
It is restricted, is adapted to long-term cardiac monitoring.
Again, smart mobile phone is popularized very much, is conveniently connected into internet, not only contributes to expand the crowd of cardiac monitoring, also
Contribute to the when and where of expansion cardiac monitoring.
From secondary, the computing capability for advantageously reducing cloud server using intelligent analysis process in smart mobile phone module will
Ask, so as to reduce the overall cost of system.Electrocardio anticipation classification and human body attitude data are obtained using intelligent analysis process, can be with
Electrocardiogram expert is helped to make more accurately diagnostic result.
Finally, cloud server provides an electrocardiographic diagnosis module based on browser, and electrocardiogram expert can pass through
Any electronic equipment with browser, such as PC, tablet personal computer and smart mobile phone, in any place and any time
Diagnose patient ECG.
Brief description of the drawings
Fig. 1 is the specific embodiment Organization Chart of the present invention；
Fig. 2 is the another specific embodiment system flow chart of the present invention；
Fig. 3 is the still another embodiment hardware block diagram of the present invention；
Fig. 4 is the still another embodiment flow chart of the present invention；
Fig. 5 is the still another embodiment flow chart of the present invention.
Embodiment
In order that technical scheme is more clearly understood, below in conjunction with drawings and the specific embodiments, to the present invention
It is described further.It should be appreciated that embodiment described herein is only to explain the present invention, it is impossible to therefore
And it is interpreted as the limitation to the scope of the claims of the present invention.
As shown in figure 1, the ECG Telemonitor System as a specific embodiment, including wearing type electrocardiogram acquisition device 110,
Smart mobile phone module 120 and cloud server 130.Smart mobile phone module 120 by mobile network and wireless network respectively with cloud
Hold server 130, the communication connection of wearing type electrocardiogram acquisition device 110.
Wearing type electrocardiogram acquisition device 110, for gathering the physiological ecg signal and 3-axis acceleration signal of patient in real time.And
Electrocardiogram (ECG) data and 3-axis acceleration data are sent to the smart mobile phone module of patient by wireless network.
Smart mobile phone module 120, for carrying out prejudging classification and three axles to electrocardiogram (ECG) data using intelligent analysis process
Acceleration information resolves to human body attitude.It is additionally operable to receive and shows the diagnosis knot for the electrocardiogram expert that cloud server pushes
Fruit.
Cloud server 130, for providing an electrocardiographic diagnosis module based on browser, electrocardiogram expert can lead to
Browser is crossed using the module to show patient ECG, anticipation classification and human body attitude data；For patient's electrocardiogram (ECG) data,
Anticipation classification and human body attitude data-pushing to electrocardiogram expert end browser；It is additionally operable to the diagnostic result of electrocardiogram expert to push away
Deliver to the smart mobile phone module 120 of patient.
As the ECG Telemonitor System of a specific embodiment, wearing type electrocardiogram acquisition device 110 gathers patient's heart in real time
Electricity physiological signal；Smart mobile phone module 120 is using intelligent analysis process analysis electrocardiogram (ECG) data and 3-axis acceleration data, electrocardio
Data, classification and human body attitude data transfer are prejudged to cloud server 130；Cloud server 130 is appraised electrocardiogram (ECG) data, in advance
Class and human body attitude data-pushing give electrocardiogram expert end browser；Electrocardiogram expert classifies according to the electrocardiogram of patient, anticipation
Diagnostic result is provided with human body attitude data.Diagnostic result is pushed to patient's smart mobile phone module 120 by cloud server 130,
Final patient can view the diagnostic result of electrocardiogram expert, so as to reach the purpose that electrocardio long distance monitoring is carried out to patient.
Further, as shown in Fig. 2 the overall workflow as the electrocardiogram monitor system of a specific embodiment can be divided into 9
Individual step：
1) wearing type electrocardiogram acquisition device 110 gathers the physiological ecg signal and 3-axis acceleration data of patient；
2) the real time patient electrocardiogram of smart mobile phone module 120 and 3-axis acceleration data, and these data storages
It is local in mobile phone；
3) smart mobile phone module 120 carries out prejudging classification and three axles is accelerated using intelligent analysis process to electrocardiogram (ECG) data
Degrees of data resolves to human body attitude data；
4) cloud server 130 is electrocardiogram (ECG) data, anticipation classification and human body attitude data Cun Chudao distributed file servers
Device；
5) electrocardiogram (ECG) data of cloud server 130, anticipation classification and human body attitude data-pushing browse to electrocardiogram expert end
Device；
6) electrocardiogram expert end browser shows electrocardiogram, anticipation classification and human body attitude data；
7) the diagnostic result storage of electrocardiogram expert is arrived distributed file server by cloud server 130；
8) cloud server 130 pushes the diagnostic result of electrocardiogram expert to the smart mobile phone module 120 of patient；
9) smart mobile phone module 120 shows the diagnostic result of electrocardiogram expert, and final patient can read diagnostic result.
As shown in figure 3, the wearing type electrocardiogram acquisition device 110 as a specific embodiment, hardware design includes 7 parts：
Disposable button-shaped electrode patch, Texas Instrument (TI) are used for the low-power consumption analog-digital converter ADS1191 of physiological signal measurements, win
It is blue that low-power consumption the 3-axis acceleration sensor BMA280, Sai Pulasi (Cypress) of generation (BOSCH) numeral output integrate low-power consumption
The CY8C4247 single-chip microcomputers of tooth (BLE) function, chargeable lithium cell (3.7V), charging circuit (5V), and power module (3.3V).
Wearing type electrocardiogram acquisition device 110 exports 3.3V voltages using chargeable lithium cell (3.7V voltages) by power module
Powered for collector.When it is lithium cell charging to use charging circuit (5V voltages), power module cut-out lithium battery (3.7V electricity
Pressure) power to change and powered by charging circuit (5V voltages), prevent that rushing electricity and electric discharge simultaneously damages lithium battery.
The Software for Design of wearing type electrocardiogram acquisition device 110 mainly includes three functions：Ecg signal acquiring function；Three axles add
Speed data acquisition function；Low-power consumption bluetooth data-transformation facility.Ecg signal acquiring function is the sampling frequency according to 250Hz
Rate, CY8C4247 read the digitized voltage values for the electrocardiosignal that ADS1191 is gathered by SPI interface.3-axis acceleration data
Acquisition function is the sample frequency according to 50Hz, and CY8C4247 reads the 3-axis acceleration number of BMA280 detections by SPI interface
According to.Low-power consumption bluetooth data-transformation facility is mainly the package and hair for the pairing connection and data for managing bluetooth and smart mobile phone
Send.
Need two electrode can collections singly to lead electrocardio using the wearing type electrocardiogram acquisition device 110 of said structure, suffer from
Person does not need physician guidance can voluntarily to wear, and cost is low, can be with Reusability, and small volume, in light weight, it is convenient to wear
Comfortably.As a result of various low power dissipation electron components and low-consumption wireless Bluetooth transfer techniques, wearing type electrocardiogram acquisition device
110 power consumption is extremely low.
Smart mobile phone module 120, including data processing module, intelligent analysis module and push processing module.
Data processing module, reception for electrocardiogram (ECG) data and 3-axis acceleration data, show and be locally stored.
Intelligent analysis module, for extracting the frequency domain character and temporal signatures of patient ECG, including atrial fibrillation feature, form
Phase and wave-form similarity etc. between feature, average RR, then electrocardiogram (ECG) data is carried out using the model that random forests algorithm is established pre-
Appraise class, electrocardiogram (ECG) data is divided into：Normally, atrial fibrillation, other rhythm abnormalities and the class of noise four.Intelligent analysis module is additionally operable to three
Axle acceleration data resolve to standing, lie on the back, prostrate, lie on the left side, right side is crouched, is careful and 7 kinds of human body attitudes of hurrying up.
Specifically, referring to Fig. 4, cardiac monitoring is carried out using the another specific embodiment of above-mentioned ECG Telemonitor System
Flow chart.The workflow of intelligent analysis module is as follows：
Read the electrocardiogram (ECG) data of 60 seconds；Electrocardiogram (ECG) data is pre-processed, is substantially carried out high pass low-pass digital filter；Extraction
The temporal signatures and frequency domain character of electrocardiosignal, mainly include：Phase and waveform phase between atrial fibrillation feature, morphological feature, average RR
Like features such as degree；These features are input in the model of random forests algorithm foundation anticipation classification is carried out to electrocardiogram (ECG) data,
Electrocardiogram (ECG) data is divided into：Normally, atrial fibrillation, other rhythm abnormalities and the class of noise four；Read 3-axis acceleration data；Add to reading three axles
Speed data is pre-processed, and is substantially carried out smothing filtering；Judge 3-axis acceleration data and square whether it is more than meter step threshold
Value, if the meter step plus one more than if, otherwise carry out in next step；Judge whether 3-axis acceleration value corresponds with standing, lie on the back, bow
Crouch, lie on the left side, the scope of the sleeping 5 kinds of postures in right side, entering in next step if meeting, terminate this intellectual analysis if not meeting；
If midstance is then carried out in next step, otherwise export current pose and terminate this intellectual analysis；Sentenced according to meter step threshold value
Whether disconnected is posture of being careful, and is, exports and is careful posture and terminates this intellectual analysis, is otherwise carried out in next step；Threshold is walked according to meter
Value judges whether it is posture of hurrying up, and is, exports and hurries up posture and terminate this intellectual analysis, otherwise exports midstance and ties
This intellectual analysis of beam.
It is well known that the analysis of electrocardiogram and patient it is current human body attitude it is closely related, intelligence anticipation classification and human body
Attitude data auxiliary patient ECG can allow electrocardiogram expert to make more accurate diagnostic result.
Processing module is pushed, the diagnostic result of the electrocardiogram expert for receiving and showing cloud server push.
Cloud server 130, including data memory module, data-pushing module and electrocardiographic diagnosis module.
Data memory module is used for electrocardiogram (ECG) data, anticipation classification and the diagnosis of human body attitude data and electrocardiogram expert
As a result distributed file server is arrived in storage.
Data-pushing module, for the electrocardiogram expert bound according to patient, patient's electrocardiogram (ECG) data, anticipation classification and people
Body attitude data pushes to the browser at electrocardiogram expert end.It is also responsible for the diagnostic result of electrocardiogram expert to push to intelligent hand
Machine module 120.
Electrocardiographic diagnosis module, for providing the electrocardiographic diagnosis interface based on browser, the heart of patient is shown on interface
Electrograph, anticipation classification and human body attitude data.
Have benefited from the development of Web technologies, applied using the Web of HTML5 and JavaScript technologies and cloud server
DLL build the electrocardiographic diagnosis module based on browser so that electrocardiogram expert without installation, whenever and wherever possible, using appoint
What supports browser electronics diagnostic patient ECG, such as PC, notebook computer, flat board and smart mobile phone.Also
Currently a popular Web framework technologies can be used, such as Bootstrap, jQuery, it is good to provide an operation for electrocardiogram expert
User interface.Further, it is possible to use WebSocket technologies realize the reality of electrocardiogram (ECG) data, anticipation classification and human body attitude data
When push, and using HTML5 Canvas drawing techniques browser front end draw patient ECG, mitigate cloud server
Calculate pressure.
Specifically, referring to Fig. 5, cardiac monitoring is carried out using the another specific embodiment of above-mentioned ECG Telemonitor System
Flow chart, the workflow of electrocardiographic diagnosis module are as follows：
1) electrocardiogram expert enters login page using browser first, inputs username and password；
2) secondly, if by the checking of cloud server 130, carry out in next step, otherwise continuing to show login page；
3) browser is established and is connected with the WebSocket of cloud server 130；
4) browser enters the electrocardiographic diagnosis page, now also without the ECG data for showing any patient；
5) browser, which is constantly in, waits the propelling data of cloud server 130, when cloud server 130 passes through
After WebSocket connections have pushed electrocardiogram (ECG) data, anticipation classification and human body attitude data, into next step；
6) browser draws patient's electrocardio using HTML5 Canvas drawing techniques on backstage in browser front end page
Figure, and display is presorted and attitude data.
7) electrocardiogram expert observes electrocardiogram, inputs diagnostic result, clicks on upload button, and browser uploads diagnostic result,
Then back into the electrocardiographic diagnosis page.This time electrocardiographic diagnosis is completed.
As the ECG Telemonitor System of a specific embodiment, wearing type electrocardiogram acquisition device gathers the life of patient's electrocardio in real time
Manage signal and 3-axis acceleration data；Smart mobile phone module uses intelligent analysis process analysis electrocardiogram (ECG) data and 3-axis acceleration number
Classify and human body attitude data according to electrocardio anticipation is obtained；Cloud server is electrocardiogram (ECG) data, anticipation classification and human body attitude data
It is pushed to electrocardiogram expert end browser；Electrocardiogram expert gives according to the electrocardiogram of patient, anticipation classification and human body attitude data
Go out diagnostic result；Diagnostic result is pushed to patient's smart mobile phone module by cloud server, and final patient can view electrocardio
The diagnostic result of expert is schemed, so as to reach the purpose that electrocardio long distance monitoring is carried out to patient.
Secondly, the miniaturization and low power consumption of wearing type electrocardiogram acquisition device, can allow patient's comfortable wearing, and action is hardly
It is restricted, is adapted to long-term cardiac monitoring.
Again, smart mobile phone is popularized very much, is conveniently connected into internet, not only contributes to expand the crowd of cardiac monitoring, also
Contribute to the when and where of expansion cardiac monitoring.
From secondary, the computing capability for advantageously reducing cloud server using intelligent analysis process in smart mobile phone module will
Ask, so as to reduce the overall cost of system.Anticipation classification and human body attitude data are obtained using intelligent analysis process, can be helped
Electrocardiogram expert makes more accurately diagnostic result.
Finally, cloud server provides an electrocardiographic diagnosis module based on browser, and electrocardiogram expert can pass through
Any electronic equipment with browser, such as PC, tablet personal computer and smart mobile phone, in any place and any time
Diagnose patient ECG.
Claims (4)
- A kind of 1. ECG Telemonitor System, it is characterised in that including：Wearing type electrocardiogram acquisition device, smart mobile phone module and cloud Hold server,The smart mobile phone module connects with the wearing type electrocardiogram acquisition device, cloud server communication respectively；Wherein,The wearing type electrocardiogram acquisition device, for gathering the electrocardiogram (ECG) data and 3-axis acceleration data of patient in real time；The smart mobile phone module, for carrying out prejudging classification to electrocardiogram (ECG) data and 3-axis acceleration data being resolved to human body Posture, while electrocardiogram (ECG) data, electrocardio anticipation classification results, human body attitude data are sent to the cloud server；It is additionally operable to Receive and show the diagnostic result of the electrocardiogram expert of cloud server push；The cloud server, for electrocardiogram (ECG) data, electrocardio to be prejudged into classification results and human body attitude data-pushing to electrocardiogram The browser at expert end；It is additionally operable to the diagnostic result of electrocardiogram expert pushing to the smart mobile phone module.
- 2. electrocardiogram monitor system according to claim 1, it is characterised in that the smart mobile phone module, including：The intelligent analysis module, established for analyzing and extracting the feature of patient's electrocardiogram (ECG) data, and by random forests algorithm Model anticipation classification is carried out to electrocardiogram (ECG) data, electrocardiogram (ECG) data is divided into normal and abnormal；It is additionally operable to a 3-axis acceleration data Resolve to human body attitude；The push processing module, the diagnostic result of the electrocardiogram expert for receiving and showing the cloud server push.
- 3. electrocardiogram monitor system according to claim 1, it is characterised in that the cloud server includes：Based on browsing The electrocardiographic diagnosis module of device, include for electrocardiogram (ECG) data, electrocardio to be prejudged into classification results and human body attitude data in browser On.
- 4. electrocardiogram monitor system according to claim 1, it is characterised in that the cloud server also includes：Data are deposited Module is stored up, for electrocardiogram (ECG) data, electrocardio to be prejudged into classification results and the diagnostic result of human body attitude data and electrocardiogram expert Storage is beyond the clouds on distributed file server.
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Cited By (4)
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| CN108492526A (en) * | 2018-06-06 | 2018-09-04 | 镇江市高等专科学校 | A kind of Remote Dynamic ECG real time monitoring system and monitoring method |
| CN108537123A (en) * | 2018-03-08 | 2018-09-14 | 四川大学 | Electrocardiogram recognition method based on multi-feature extraction |
| CN109303557A (en) * | 2018-10-22 | 2019-02-05 | 深圳市美林医疗器械科技有限公司 | A kind of automatic diagnosing machinery people of Alpha's shafts electrocardio |
| CN109480782A (en) * | 2018-11-16 | 2019-03-19 | 深圳和而泰数据资源与云技术有限公司 | A kind of sleep state detection method, device and equipment |
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