CN105476624A - Electrocardiosignal compression and transmission method and electrocardiogram monitoring system - Google Patents
Electrocardiosignal compression and transmission method and electrocardiogram monitoring system Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- 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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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- 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
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
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- 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
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- 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]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7232—Signal processing specially adapted for physiological signals or for diagnostic purposes involving compression of the physiological signal, e.g. to extend the signal recording period
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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- 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 provides an electrocardiosignal compression and transmission method. The electrocardiosignal compression and transmission method comprises the steps that human body electrocardiosignals acquired by an electrocardiosignal acquisition module are preliminarily processed in a data processing module and then are transmitted to a data compression and encoding module to perform cross-correlation operation of the signals, and normal electrocardiosignal codes or abnormal electrocardiosignal waveform data is sent to a remote server according to cross-correlation operation results for next analysis and processing. The invention further provides an electrocardiogram monitoring system. The system comprises an electrocardio data acquisition and processing device, the remote server and a display terminal. By the adoption of the electrocardiosignal compression and transmission method, mass of transmitted redundant data can be effectively decreased, the times of interaction with the data volume of the server is decreased to a great degree while the monitoring effect is ensured, the requirement for network communication speed is reduced, the degree of dependence on a network is also reduced, meanwhile power consumption is also obviously reduced, and the stand-by time of the terminal is increased.
Description
Technical field
The present invention relates to the processing method of electrocardiosignal, specifically a kind of compress ecg data transmission method and electrocardiogram monitor system thereof.
Background technology
Heart disease is the very high and very common heart disease of a kind of sickness rate, has PD slow and hidden, once the feature that sb.'s sickness becomes critical of falling ill, health and the life of the mankind in serious threat.Generally, the main cause causing heart disease patient to die suddenly is malignant arrhythmia and heart failure etc.; The heart attack time does not have rule, this kind of patient can show symptom in working at ordinary times or living, but symptom may disappear when doing electrocardiographic examination to hospital, therefore, abnormal electrocardiographic pattern cannot be detected, cause doctor can not make the state of an illness to judge accurately, cannot condition-inference be carried out and may best occasion for the treatment be delayed.If the cardiac symptoms such as the arrhythmia in daily life can be identified in time, take effective Prevention and Curation measure, the success rate saving patient vitals can be improved to a great extent.
For many years, due to the extensive use of electrocardiosignal automatic analysis technology, bring huge facility to the pathology detection of numerous cardiac.But, existing electrocardiogram monitor system is by ecg signal acquiring, processing unit and discharger are blended in a portable equipment, form loop by the electrode contact thoracic wall on equipment and gather electrocardiosignal, then by mobile communication network, ecg information is sent to far-end server and carries out date processing.This electrocardiogram monitor solves ecg signal acquiring and transmission problem under mobile status, greatly reduces the restriction of time, region.But this instrument exists following shortcoming: the delayed of basic network equipment construction have impact on the transmission speed of electrocardiosignal to far-end server to a certain extent, bring inconvenience to the long distance monitoring of people from far-off regions simultaneously.Be limited by the disposal ability of equipment itself, need constantly to send electrocardiosignal carries out large data Treatment Analysis to background server, just can obtain more detailed diagnostic result, such information redundancy amount is larger, system power dissipation is also larger, be not easy to carry out dynamic monitoring for a long time continuously, simultaneously large volume of transmitted data brings very large burden also to the transmission of far-end server and information processing.
The data prediction of ecg signal acquiring client and compression can significantly reduce to send data traffic, reduce the requirement to network, the danger early warning disappearance avoiding network information transfer freely not bring, can effectively reduce client power consumption simultaneously, realizes long-term, dynamic, Real-Time Monitoring.
Summary of the invention
The object of this invention is to provide a kind of compress ecg data transmission method efficiently, to solve the problems such as existing method data traffic is large, fidelity is poor.Meanwhile, present invention also offers a kind of remote electrocardiogram monitor system that this compress ecg data transmission method relies on, so that dynamic monitor and analysis and early warning can be carried out to the health of patient in real time, efficiently, Timeliness coverage morbidity sign.
The technical scheme of the compress ecg data transmission method that the present invention will provide is as follows:
A kind of compress ecg data transmission method, the method be by ecg signal acquiring module acquires to human ecg signal carry out preliminary treatment at data processing module, be then transferred to data compression coding module and carry out signal computing cross-correlation;
Described preliminary treatment is: at described data processing module, by first through amplifying for the human ecg signal arrived by ecg signal acquiring module acquires, then carries out remove impurity noise reduction;
Described signal computing cross-correlation is:
1. get the electrocardiosignal of a cardiac cycle duration in the ecg signal data after preliminary treatment and be denoted as S after its peak value is normalized
i, with the electrocardiosignal S after the peak value normalization that it is next adjacent
i+1by formula
carry out computing cross-correlation, obtain the coefficient R of these two adjacent electrocardiosignaies
12, by coefficient R
12amplitude and judgment threshold compare;
Wherein, described formula
in, T
mfor the time of integration, T
m=kT, k value is 1 ~ 200 integer, and T is a cardiac cycle duration, and unit is second; τ is S
ito S
i+1transition time, unit is second; D is differential operator; T is time variable, and unit is second;
If 2. step is 1. middle calculate gained R
12< judgment threshold, then by electrocardiosignal S
istored in data processing module buffer memory, by S
i+1~ S
i+nbetween electro-cardiologic signal waveforms data be sent to remote server, then obtain electrocardiosignal S
i+n+1, by step 1. by S
iwith S
i+n+1carry out computing cross-correlation; If step is 1. middle calculate gained R
12>=judgment threshold, then by electrocardiosignal S
i+1stored in data processing module buffer memory, and send a normal electrocardiosignal code to remote server, then press step 1. by electrocardiosignal S
i+1continue the electrocardiosignal S adjacent with the next one
i+2carry out computing cross-correlation;
Wherein, described n value is the integer between 1 ~ 30, and described judgment threshold value is any value between 0.25 ~ 0.45.
Compress ecg data transmission method of the present invention,
Described preliminary treatment is specifically:
At described data processing module, by the human ecg signal arrived by ecg signal acquiring module acquires first through amplifying, then adopt notch filter to remove the power frequency component of 50Hz or 60Hz, adopt low pass filter to remove the high band noise of more than 100Hz simultaneously for cut-off frequency provides stable passband 0.05Hz ~ 100Hz afterwards;
In this step, described cut-off frequency is-40dB.
The technical scheme of the electrocardiogram monitor system that the present invention will provide is as follows:
A kind of electrocardiogram monitor system, this system comprises electrocardio-data collection treatment facility, remote server and display terminal:
(1) described electrocardio-data collection treatment facility comprises:
Ecg signal acquiring module, connects with data processing module, for detecting and gathering electrocardiosignal;
Data processing module, connects with described ecg signal acquiring module and data compression coding module, for amplifying electrocardiosignal and the preliminary treatment of remove impurity noise reduction and buffer memory electrocardiosignal;
Data compression coding module, connects with described data processing module and data transmission module, for utilizing signal computing cross-correlation to carry out abnormal judgement to the ecg signal data of preliminary treatment;
Data transmission module, connect with described data compression coding module, the real-time display module of data and long-range bi-directional communication modules, for the long-range bi-directional communication modules of the Wave data to remote server that transmit normal electrocardiosignal code and abnormal electrocardiogram signal, and the analysis result that the long-range bi-directional communication modules transmitting remote server sends is to the real-time display module of data; And
The real-time display module of data, connects with described data transmission module, for real-time display analysis result and warning;
(2) described remote server comprises:
Long-range bi-directional communication modules, be connected with described data transmission module, ecg signal data storehouse, data analysis module and display terminal, for transmitting the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal to ecg signal data storehouse, and transmit analysis result to data transmission module and display terminal;
Ecg signal data storehouse, connects with described long-range bi-directional communication modules and described data analysis module, for storing the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal, and stores the analysis result of data analysis module; And
Data analysis module, connects with described ecg signal data storehouse and described long-range bi-directional communication modules, for carrying out discriminatory analysis to the Wave data of abnormal electrocardiogram signal, obtains analysis result;
(3) described display terminal connects with described long-range bi-directional communication modules, for checking the analysis result of data analysis module.
The employing digital signal processing chip operation exception ECG detecting Processing Algorithm of novelty of the present invention, differentiates the cross correlation of seasonal effect in time series electrocardiosignal and the normal electrocardiosignal of leading portion, carries out valid data contrast according to the electrocardiosignal in repeatedly consecutive periods.If data no significant difference before and after finding, show that electrocardio is normal, at this moment terminal only sends normal code to server, if anomalous ecg detected, after first abnormal signal that transmission detects by terminal, the complete electrocardiosignal of a time period carries out the further process of data to remote server, judges abnormal class, morbidity early warning is provided, this reduces the transmission of invalid data to a great extent, reduces the use of data traffic, reduces power consumption.This algorithm effectively can reduce the mass of redundancy data transmitted, mutual what ensure to greatly reduce while monitoring effect with the data volume of server, this reduces network speed requirement, also reduce the degree of dependence to network, also in power consumption, has obvious reduction, the stand-by time of the terminal of increase simultaneously.
Accompanying drawing explanation
Fig. 1 is electrocardiogram monitor system structured flowchart of the present invention.
Fig. 2 is the electrocardio-data collection device hardware structured flowchart of electrocardiogram monitor system of the present invention.
Fig. 3 adopts cross correlation algorithm to carry out abnormal decision flow chart in compress ecg data transmission algorithm of the present invention.
In Fig. 1 ~ Fig. 3: 1, electrocardio-data collection equipment, 2, remote server, 3, display terminal, 4, electrode slice, 5, data processing module, 6, data compression coding module, 7, the real-time display module of data, 8, data transmission module.
Fig. 4 is two normal electrocardiosignal S of cardiac cycle in the embodiment of the present invention 2 after peak value normalization
iand S
i+1.
Fig. 5 is normal electrocardiosignal S in the embodiment of the present invention 2
iwith S
i+1computing cross-correlation result.
Fig. 6 is two cardiac cycle abnormal electrocardiogram signal S in the embodiment of the present invention 2 after peak value normalization
i+1and S
i+2.
Fig. 7 is abnormal electrocardiogram signal S in the embodiment of the present invention 2
i+1with S
i+2computing cross-correlation result.
Detailed description of the invention
Embodiment 1: electrocardiogram monitor system
As shown in Figure 1, electrocardiogram monitor system of the present invention is made up of electrocardio-data collection treatment facility 1, remote server 2 and display 3.
Electrocardio-data collection treatment facility (as Fig. 2) is made up of ecg signal acquiring module (i.e. electrode slice 4), data processing module 5, data compression coding module 6, the real-time display module 7 of data and data transmission module 8;
Electrode slice 4 is standard three crosslinking electrode, for detecting and gathering electrocardiosignal;
Data processing module 5 comprises high precision amplifier AD8232 and STM32 processor, and STM32 processor comprises notch filter, low pass filter; The input of AD8232 connects electrode slice, and outfan connects notch filter; The input of notch filter connects AD8232, and outfan connects low pass filter; The input of low pass filter connects notch filter, and outfan connects data compression coding module; Data processing module 5 for amplifying electrocardiosignal and the preliminary treatment of remove impurity noise reduction, and possesses the function of buffer memory electrocardiosignal;
Data compression coding module 6 is carried dsp chip by plate and is formed, and its input connects notch filter, and outfan connects the data transmission module; Data compression coding module 6, for utilizing signal computing cross-correlation to carry out abnormal judgement to the ecg signal data of preliminary treatment, realizes the compression of volume of transmitted data;
Data transmission module 8 adopts wireless two-way communication module SIM5320, and its input connects dsp chip, and outfan is the real-time display module of connection data and remote server respectively; Data transmission module 8 is for the long-range bi-directional communication modules of the Wave data to remote server that transmit normal electrocardiosignal code and abnormal electrocardiogram signal, and the analysis result that the long-range bi-directional communication modules transmitting remote server sends is to the real-time display module of data;
The real-time display module of data 7 adopts conventional display circuit project organization, and has warning function; The real-time display module of data 7 is for real-time display analysis result and warning.
Remote server is made up of long-range bi-directional communication modules, ecg signal data storehouse, data analysis module:
The input of long-range bi-directional communication modules connects the data transmission module and data analysis module, and outfan connects the data transmission module, ecg signal data storehouse and display; Long-range bi-directional communication modules for transmitting the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal to ecg signal data storehouse, and transmits analysis result to data transmission module and display terminal
The input in ecg signal data storehouse connects long-range bi-directional communication modules and data analysis module, and outfan connects long-range bi-directional communication modules and data analysis module; For storing the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal, and store the analysis result of data analysis module;
The input of data analysis module connects ecg signal data storehouse, and outfan connects ecg signal data storehouse and long-range bi-directional communication modules; For carrying out discriminatory analysis to the Wave data of abnormal electrocardiogram signal, obtain analysis result.
Embodiment 2: compress ecg data transmission method
(1) three crosslinking electrodes are placed to human body relevant position, collect three and to lead electrocardiosignal, the high precision amplifier AD8232 of electrocardiosignal of first leading three input data processing module, carries out signal amplification; Then be input to STM32 processor, first removed the power frequency component of 50Hz or 60Hz by notch filter; Then the noise jamming of more than 100Hz is removed by low pass filter (cut-off frequency is set to-40dB), and provide stable passband 0.05Hz ~ 100Hz for cut-off frequency, to remove the part clutter very similar with electrocardiosignal and reduction original electrocardiographicdigital waveform to greatest extent;
(2) electrocardiosignal after step (1) being processed carries out computing cross-correlation by the flow process of Fig. 3, and computing cross-correlation formula is
in formula, R
12represent correlation coefficient, T
mfor the time of integration, unit: second (T
m=k × T: wherein k=1; T=1/60S is a cardiac cycle duration); τ is S
ito S
i+1transition time, unit is second; D is differential operator; T is time variable, unit: second:
(2.1) obtain the electrocardiosignal of a cardiac cycle duration, the signal after being normalized its peak value is designated as S
i(see Fig. 4), by S
iwith the electrocardiosignal S after the peak value normalization that it is next adjacent
i+1(see Fig. 4) is by formula
carry out computing cross-correlation, obtain S
iwith S
i+1cross-correlation coefficient R
12=0.325, as shown in Figure 5, this cross-correlation coefficient amplitude is greater than judgment threshold 0.3, then can judge electrocardiosignal change without exception, sends a normal electrocardiosignal code OK to remote server, calculates by that analogy, until get electrocardiosignal S
i+q;
(2.2) the electrocardiosignal S after peak value normalization is obtained
i+q(see Fig. 6), by S
i+qthe peak value normalized electrocardiosignal S next adjacent with it
i+q+1(see Fig. 6) carries out computing cross-correlation, obtains S
i+qwith S
i+q+1cross-correlation coefficient R
12=0.25, as shown in Figure 7, this value is less than judgment threshold 0.3, then can judge that the electrocardiosignal of a rear cardiac cycle and the normal electro-cardiologic signal waveforms in previous cycle have larger difference, occurs abnormal, now by S
i+qstored in data processing module buffer memory, and by S
i+qoriginal electro-cardiologic signals Wave data (i.e. S in the 30s time period afterwards
i+q+1~ S
i+q+n, n=30) and be sent to remote server by data transmission module; This original electro-cardiologic signals Wave data three to lead ecg signal data namely after step (1) process;
(2.3) after this, by the normal electrocardiosignal S in buffer memory
i+qwith S
i+q+31with carry out computing cross-correlation, obtain S
i+qwith S
i+q+31cross-correlation coefficient R
12, then by R
12compare with judgment threshold, if R
12>=judgment threshold, then calculate, if R by step (2.1)
12< judgment threshold, then calculate by step (2.2).
(3) data (original electro-cardiologic signals Wave data or normal electrocardiosignal code OK) exported by step (2) are through the long-range bi-directional communication modules transmission of remote server, stored in ecg signal data storehouse, then data analysis module carries out anomaly analysis process by existing conventional algorithm to the original waveform data be stored in ecg signal data storehouse, and draw analysis result, analysis result is stored into ecg signal data library storage on the one hand, care provider can on display webpage or mobile phone A PP terminal check the analysis result of storage, on the other hand through long-range bi-directional communication modules to the transmission of electrocardio-data collection equipment, the analysis result being sent to electrocardio-data collection equipment is sent to the real-time display module of data through data transmission module, report to the police at data real-time display module real time inspection analysis result and prompting.
Method according to embodiment 2 carries out 24h detection to the electrocardiosignal of heart patient, through statistics, adopts the resolution of method of the present invention to abnormal electrocardiogram signal to reach 85%.
Claims (3)
1. a compress ecg data transmission method, is characterized in that, the method comprise by ecg signal acquiring module acquires to human ecg signal carry out preliminary treatment at data processing module, be then transferred to data compression coding module and carry out signal computing cross-correlation;
Described preliminary treatment is: at described data processing module, by first through amplifying for the human ecg signal arrived by ecg signal acquiring module acquires, then carries out remove impurity noise reduction;
Described signal computing cross-correlation is:
1. obtain the electrocardiosignal of a cardiac cycle duration in the ecg signal data after preliminary treatment and be denoted as S after its peak value is normalized
i, with the electrocardiosignal S after the peak value normalization that it is next adjacent
i+1by formula
carry out computing cross-correlation, obtain the coefficient R of these two adjacent electrocardiosignaies
12, by coefficient R
12amplitude and judgment threshold compare;
Wherein, described formula
in, T
mfor the time of integration, T
m=kT, k value is 1 ~ 200 integer, and T is a cardiac cycle duration, and unit is second; τ is S
ito S
i+1transition time, unit is second; D is differential operator; T is time variable, and unit is second;
If 2. step is 1. middle calculate gained R
12< judgment threshold, then by electrocardiosignal S
ibuffer memory is carried out, by S stored in data processing module
i+1~ S
i+nbetween electro-cardiologic signal waveforms data be sent to remote server, then obtain electrocardiosignal S
i+n+1, by step 1. by S
iwith S
i+n+1carry out computing cross-correlation; If step is 1. middle calculate gained R
12>=judgment threshold, then by electrocardiosignal S
i+1carry out buffer memory stored in data processing module, and send a normal electrocardiosignal code to remote server, then press step 1. by electrocardiosignal S
i+1continue the electrocardiosignal S adjacent with the next one
i+2carry out computing cross-correlation;
Wherein, described n value is the integer between 1 ~ 30, and described judgment threshold value is any value between 0.25 ~ 0.45.
2. compress ecg data transmission method according to claim 1, is characterized in that,
Described preliminary treatment is specifically:
At described data processing module, by the human ecg signal arrived by ecg signal acquiring module acquires first through amplifying, then adopt notch filter to remove the power frequency component of 50Hz or 60Hz, adopt low pass filter to remove the high band noise of more than 100Hz simultaneously for cut-off frequency provides stable passband 0.05Hz ~ 100Hz afterwards;
In this step, described cut-off frequency is-40dB.
3. an electrocardiogram monitor system, is characterized in that, this system comprises electrocardio-data collection treatment facility, remote server and display terminal:
(1) described electrocardio-data collection treatment facility comprises:
Ecg signal acquiring module, connects with data processing module, for detecting and gathering electrocardiosignal;
Data processing module, connects with described ecg signal acquiring module and data compression coding module, for amplifying electrocardiosignal and the preliminary treatment of remove impurity noise reduction and buffer memory electrocardiosignal;
Data compression coding module, connects with described data processing module and data transmission module, for utilizing signal computing cross-correlation to carry out abnormal judgement to the ecg signal data of preliminary treatment, realizes the compression of volume of transmitted data;
Data transmission module, connect with described data compression coding module, the real-time display module of data and long-range bi-directional communication modules, for the long-range bi-directional communication modules of the Wave data to remote server that transmit normal electrocardiosignal code and abnormal electrocardiogram signal, and the analysis result that the long-range bi-directional communication modules transmitting remote server sends is to the real-time display module of data; And
The real-time display module of data, connects with described data transmission module, for real-time display analysis result and warning;
(2) described remote server comprises:
Long-range bi-directional communication modules, be connected with described data transmission module, ecg signal data storehouse, data analysis module and display terminal, for transmitting the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal to ecg signal data storehouse, and transmit analysis result to data transmission module and display terminal;
Ecg signal data storehouse, connects with described long-range bi-directional communication modules and described data analysis module, for storing the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal, and stores the analysis result of data analysis module; And
Data analysis module, connects with described ecg signal data storehouse and described long-range bi-directional communication modules, for carrying out discriminatory analysis to the Wave data of abnormal electrocardiogram signal, obtains analysis result;
(3) described display terminal connects with described long-range bi-directional communication modules, for checking the analysis result of data analysis module.
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