CN105476624B - Compress ecg data transmission method and its electrocardiogram monitor system - Google Patents
Compress ecg data transmission method and its electrocardiogram monitor system Download PDFInfo
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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
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Abstract
The present invention provides a kind of compress ecg data transmission method, the human ecg signal that ecg signal acquiring module collects is carried out preliminary treatment by this method in data processing module, it is then communicated to data compression coding module and carries out signal computing cross-correlation, judge that result sends normal electrocardiosignal code or abnormal electrocardiogram signal waveform data to remote server according to computing cross-correlation, carry out next step analyzing and processing.Present invention also offers a kind of electrocardiogram monitor system, which includes electrocardio-data collection processing equipment, remote server and display terminal.Inventive algorithm can effectively reduce the mass of redundancy data of transmission, the interaction with the data volume of server is greatly reduced while monitoring effect is ensured, this reduces network service rate request, also reduce the degree of dependence to network, also there are obvious reduction, the stand-by time of increased terminal in power consumption at the same time.
Description
Technical field
The present invention relates to the processing method of electrocardiosignal, specifically a kind of compress ecg data transmission method and its heart
Electric monitor system.
Background technology
Heart disease is a kind of very high and very common heart disease of incidence, there is that progression of the disease is slow and hidden, one
Denier morbidity the characteristics of sb.'s sickness becomes critical, serious threat the health and life of the mankind.Under normal circumstances, cause heart disease patients sudden
The main reason for dead is malignant arrhythmia and heart failure etc.；The heart attack time does not have rule, and this kind of patient is flat
When work or life in can show symptom, but to hospital do electrocardiographic examination when symptom may disappear, therefore, it is impossible to detect different
Normal electrocardiogram, causes doctor to make accurate judgement to the state of an illness, can not carry out condition-inference and may delay most preferably to control
Treatment opportunity.If the cardiac symptoms such as the arrhythmia cordis in daily life can be identified in time, effective prevention and treatment are taken
Measure, can largely improve the success rate for saving patient vitals.
For many years, due to the extensive use of electrocardiosignal automatic analysis technology, the pathology to numerous cardiacs is examined
Survey brings huge facility.However, existing electrocardiogram monitor system is to melt ecg signal acquiring, processing unit and emitter
Together in a portable equipment, wall of the chest forming circuit is contacted to gather electrocardiosignal by the electrode in equipment, then passes through shifting
Dynamic communication network, which sends ecg information to far-end server, carries out data processing.The ECG monitor is solved under mobile status
Ecg signal acquiring and transmission problem, greatly reduce the limitation of time, region.But the instrument has the following disadvantages：Network
The hysteresis of infrastructure device construction have impact on electrocardiosignal to the transmission speed of far-end server to a certain extent, while to remote
The long distance monitoring of regional people brings inconvenience.Be limited by equipment disposal ability in itself, it is necessary to constantly send electrocardiosignal to
Background server carries out the processing analysis of big data, can just obtain relatively accurate detailed diagnostic result, such information redundancy amount compared with
Greatly, system power dissipation is also bigger, is not easy to continuous progress dynamic monitoring for a long time, while big volume of transmitted data also takes to distal end
The transmission of business device and information processing bring very big burden.
The data prediction of ecg signal acquiring client and compression can be substantially reduced transmission data traffic, reduce to net
The requirement of network, the danger early warning missing for avoiding network information transfer from not bringing freely, while client power consumption can be effectively reduced, it is real
Now long-term, dynamic, in real time monitoring.
The content of the invention
The object of the present invention is to provide a kind of efficient compress ecg data transmission method, to solve existing method data flow
The problems such as amount is big, fidelity is poor.Meanwhile present invention also offers one kind that the compress ecg data transmission method is relied on is long-range
Electrocardiogram monitor system, in order to be able to dynamic monitor and analysis and early warning are carried out to the physical condition of patient in real time, efficiently, in time
It was found that morbidity sign.
The technical solution of present invention compress ecg data transmission method to be provided is as follows：
A kind of compress ecg data transmission method, this method are that the human body electrocardio for collecting ecg signal acquiring module is believed
Number data processing module carry out preliminary treatment, be then communicated to data compression coding module carry out signal computing cross-correlation；
The preliminary treatment is：In the data processing module, the human body that will be collected by ecg signal acquiring module
Electrocardiosignal first through amplification, then carries out removal of impurities noise reduction；
The signal computing cross-correlation is：
1. take the electrocardiosignal of the duration of cardiac cycle in the ecg signal data after preliminary treatment and its peak value is returned
S is denoted as after one changei, with the electrocardiosignal S after its next adjacent peak value normalizationi+1By formula
Computing cross-correlation is carried out, obtains the coefficient R of two adjacent electrocardiosignals12, by coefficient R12Amplitude and judgement
Threshold value is compared；
Wherein, the formulaIn, TmFor the time of integration, Tm=kT, k value are 1
~200 integers, T are cardiac cycle duration, and unit is the second；τ is SiTo Si+1Transition time, unit is the second；D is micro-
Divide operator；T is time variable, and unit is the second；
If 2. step 1. R obtained by middle calculating12＜ judgment thresholds, then by electrocardiosignal SiDeposit data processing module delays
Deposit, by Si+1~Si+nBetween electro-cardiologic signal waveforms data sending to remote server, then obtain electrocardiosignal Si+n+1, by step
Suddenly 1. by SiWith Si+n+1Carry out computing cross-correlation；If step 1. R obtained by middle calculating12>=judgment threshold, then by electrocardiosignal Si+1
Data processing module caching is stored in, and sends a normal electrocardiosignal code to remote server, then by step 1. by the heart
Electric signal Si+1Continue and next adjacent electrocardiosignal Si+2Carry out computing cross-correlation；
Wherein, the n values be 1~30 between integer, the judgment threshold value be 0.25~0.45 between it is any
One value.
Compress ecg data transmission method of the present invention,
The preliminary treatment is specifically：
In the data processing module, by the human ecg signal collected by ecg signal acquiring module first through putting
Greatly, the power frequency component of 50Hz or 60Hz is then removed using notch filter, more than 100Hz is removed using low-pass filter afterwards
High band noise stable passband 0.05Hz~100Hz is provided for cutoff frequency at the same time；
In this step, the cutoff frequency is -40dB.
The technical solution of present invention electrocardiogram monitor system to be provided is as follows：
A kind of electrocardiogram monitor system, the system include electrocardio-data collection processing equipment, remote server and display terminal：
(1) the electrocardio-data collection processing equipment includes：
Ecg signal acquiring module, connects with data processing module, for detecting and gathering electrocardiosignal；
Data processing module, connects with the ecg signal acquiring module and data compression coding module, for electrocardio
Signal be amplified and clean noise reduction preliminary treatment and caching electrocardiosignal；
Data compression coding module, connects with the data processing module and data transmission module, for preliminary treatment
Ecg signal data utilize signal computing cross-correlation to carry out abnormal judgement；
Data transmission module, with the data compression coding module, data real-time display module and long-range two-way communication mould
Block connects, long-range two-way to remote server for transmitting the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal
Communication module, and transmission remote server the analysis result that sends of long-range bi-directional communication modules to data real-time display mould
Block；And
Data real-time display module, connects with the data transmission module, for real-time display analysis result and alarm；
(2) remote server includes：
Long-range bi-directional communication modules, with the data transmission module, ecg signal data storehouse, data analysis module and display
Terminal connects, for transmitting the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal to ecg signal data storehouse, with
And analysis result is transmitted to data transmission module and display terminal；
Ecg signal data storehouse, connects with the long-range bi-directional communication modules and the data analysis module, for storing
The Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal, and the analysis result of storage data analysis module；And
Data analysis module, connects with the ecg signal data storehouse and the long-range bi-directional communication modules, for different
The Wave data of normal electrocardiosignal carries out discriminatory analysis, obtains analysis result；
(3) display terminal connects with the long-range bi-directional communication modules, for checking the analysis of data analysis module
As a result.
Novelty of the invention uses digital signal processing chip operation exception ECG detecting Processing Algorithm, differentiates time sequence
The electrocardiosignal of row and the cross correlation of the normal electrocardiosignal of leading portion, carry out effective according to the electrocardiosignal in multiple continuous cycles
Data comparison.If it find that front and rear data no significant difference, shows that electrocardio is normal, at this moment terminal only sends normal code to service
Device, if detecting anomalous ecg, terminal will send the complete electrocardio of the latter time period of first abnormal signal detected
Signal carries out the further processing of data to remote server, judges abnormal class, there is provided morbidity early warning, this is largely
Reduce the transmission of invalid data, reduce the use of data traffic, reduce power consumption.The algorithm can effectively reduce a large amount of of transmission
Redundant data, greatly reduces the interaction with the data volume of server, this is to network while monitoring effect is ensured
Rate request reduces, and also reduces the degree of dependence to network, while also has obvious reduction in power consumption, increased terminal
Stand-by time.
Brief description of the drawings
Fig. 1 is electrocardiogram monitor system structure diagram of the present invention.
Fig. 2 is the electrocardio-data collection device hardware structure diagram of electrocardiogram monitor system of the present invention.
Fig. 3 is to carry out abnormal decision flow chart using cross correlation algorithm in compress ecg data transmission algorithm of the present invention.
In Fig. 1~Fig. 3：1st, electrocardio-data collection equipment, 2, remote server, 3, display terminal, 4, electrode slice, 5, data
Processing module, 6, data compression coding module, 7, data real-time display module, 8, data transmission module.
Fig. 4 is the two cardiac cycles normal electrocardiosignal S after peak value normalization in the embodiment of the present invention 2iAnd Si+1。
Fig. 5 is normal electrocardiosignal S in the embodiment of the present invention 2iWith Si+1Computing cross-correlation result.
Fig. 6 is the two cardiac cycles abnormal electrocardiogram signal S after peak value normalization in the embodiment of the present invention 2i+1And Si+2。
Fig. 7 is abnormal electrocardiogram signal S in the embodiment of the present invention 2i+1With Si+2Computing cross-correlation result.
Embodiment
Embodiment 1：Electrocardiogram monitor system
As shown in Figure 1, electrocardiogram monitor system of the present invention is by electrocardio-data collection processing equipment 1, remote server 2 and display
Device 3 is formed.
Electrocardio-data collection processing equipment (such as Fig. 2) is by ecg signal acquiring module (i.e. electrode slice 4), data processing module
5th, data compression coding module 6, data real-time display module 7 and data transmission module 8 are formed；
Electrode slice 4 is three crosslinking electrode of standard, for detecting and gathering electrocardiosignal；
Data processing module 5 includes high precision amplifier AD8232 and STM32 processor, and STM32 processors include trap
Wave filter, low-pass filter；The input terminal of AD8232 connects electrode slice, and output terminal connects notch filter；The input of notch filter
End connection AD8232, output terminal connection low-pass filter；The input terminal of low-pass filter connects notch filter, and output terminal connects data
Compressed encoding module；Preliminary treatment of the data processing module 5 for the noise reduction that is amplified and cleans to electrocardiosignal, and possess slow
The function of electric signal intentionally；
Data compression coding module 6 is made of onboard dsp chip, its input terminal connection notch filter, output terminal connection
Data transmission module；Data compression coding module 6 is used to utilize signal computing cross-correlation to the ecg signal data of preliminary treatment
Abnormal judgement is carried out, realizes the compression of volume of transmitted data；
Data transmission module 8 uses wireless two-way communication module SIM5320, its input terminal connection dsp chip, output terminal point
Lian Jie not data real-time display module and remote server；Data transmission module 8 is used to transmit normal electrocardiosignal code and different
The Wave data of normal electrocardiosignal is to the long-range bi-directional communication modules of remote server, and the remote double of transmission remote server
The analysis result sent to communication module is to data real-time display module；
Data real-time display module 7 has warning function using conventional display circuit design structure；Data real-time display
Module 7 is used for real-time display analysis result and alarm.
Remote server is made of long-range bi-directional communication modules, ecg signal data storehouse, data analysis module：
The input terminal of long-range bi-directional communication modules connects the data transmission module and data analysis module, output terminal connection data
Transport module, ecg signal data storehouse and display；Long-range bi-directional communication modules are used to transmitting normal electrocardiosignal code and different
The Wave data of normal electrocardiosignal is to ecg signal data storehouse, and transmits analysis result to data transmission module and display terminal
The input terminal in ecg signal data storehouse connects long-range bi-directional communication modules and data analysis module, and output terminal connection is remote
Journey bi-directional communication modules and data analysis module；For storing the waveform number of normal electrocardiosignal code and abnormal electrocardiogram signal
According to, and the analysis result of storage data analysis module；
The input terminal connection ecg signal data storehouse of data analysis module, output terminal connection ecg signal data storehouse and long-range
Bi-directional communication modules；For carrying out discriminatory analysis to the Wave data of abnormal electrocardiogram signal, analysis result is obtained.
Embodiment 2：Compress ecg data transmission method
(1) three crosslinking electrodes are placed to human body relevant position, collect three lead electrocardiosignals, first by the three lead hearts
The high precision amplifier AD8232 of electric signal input data processing module, carries out signal amplification；It is then input to STM32 processing
Device, first passes through the power frequency component that notch filter removes 50Hz or 60Hz；Then by low-pass filter (cutoff frequency is set to-
The noise jamming of more than 100Hz 40dB) is removed, and passband 0.05Hz~100Hz of stabilization is provided for cutoff frequency, to remove
A part and the very much like clutter of electrocardiosignal simultaneously reduce original electrocardiographicdigital waveform to greatest extent；
(2) electrocardiosignal after step (1) processing is subjected to computing cross-correlation, computing cross-correlation formula by the flow of Fig. 3
ForIn formula, R12Represent related coefficient, TmFor the time of integration, unit：Second (Tm=k
×T：Wherein k=1；T=1/60S, is cardiac cycle duration)；τ is SiTo Si+1Transition time, unit is the second；D is micro-
Divide operator；T is time variable, unit：Second：
(2.1) electrocardiosignal of cardiac cycle duration is obtained, the signal after its peak value is normalized is denoted as
Si(see Fig. 4), by SiWith the electrocardiosignal S after its next adjacent peak value normalizationi+1(see Fig. 4) presses formulaComputing cross-correlation is carried out, obtains SiWith Si+1Cross-correlation coefficient R12=0.325, such as scheme
Shown in 5, which is more than judgment threshold 0.3, then can determine that electrocardiosignal change without exception, sends one normally
Electrocardiosignal code OK to remote server, and so on calculated, until getting electrocardiosignal Si+q；
(2.2) the electrocardiosignal S after peak value normalization is obtainedi+q(see Fig. 6), by Si+qReturn with its next adjacent peak value
The one electrocardiosignal S changedi+q+1(see Fig. 6) carries out computing cross-correlation, obtains Si+qWith Si+q+1Cross-correlation coefficient R12=0.25, such as
Shown in Fig. 7, which is less than judgment threshold 0.3, then can determine that the electrocardiosignal of the latter cardiac cycle with the previous cycle just
Normal electro-cardiologic signal waveforms have larger difference, are abnormal, at this time by Si+qData processing module caching is stored in, and by Si+qAfterwards
Original electro-cardiologic signals Wave data (i.e. S in the 30s periodsi+q+1~Si+q+n, n=30) it is sent to by data transmission module
Remote server；The original electro-cardiologic signals Wave data is the three lead ecg signal datas after step (1) processing；
(2.3) hereafter, by the normal electrocardiosignal S in cachingi+qWith Si+q+31With carrying out computing cross-correlation, S is obtainedi+qWith
Si+q+31Cross-correlation coefficient R12, then by R12Compared with judgment threshold, if R12>=judgment threshold, then by step
(2.1) calculated, if R12＜ judgment thresholds, then calculated by step (2.2).
(3) by the data (original electro-cardiologic signals Wave data or normal electrocardiosignal code OK) of step (2) output through remote
The long-range bi-directional communication modules transmission of journey server, is stored in ecg signal data storehouse, then data analysis module presses existing routine
Algorithm carries out anomaly analysis processing to the original waveform data being stored in ecg signal data storehouse, and draws analysis result, point
On the one hand analysis result is stored in ecg signal data library storage, care provider can be on display webpage or mobile phone APP terminal
Check the analysis result of storage, on the other hand transmitted through long-range bi-directional communication modules to electrocardio-data collection equipment, be sent to the heart
The analysis result of electric data collecting equipment is sent to data real-time display module through data transmission module, in data real-time display mould
Block real time inspection analysis result and prompting alarm.
24h detections are carried out to the electrocardiosignal of heart patient according to the method for embodiment 2, it is using the present invention through statistics
Method is to the resolution ratio of abnormal electrocardiogram signal up to 85%.
Claims (3)
1. a kind of compress ecg data transmission method, it is characterized in that, this method includes collect ecg signal acquiring module
Human ecg signal carries out preliminary treatment in data processing module, and it is mutual to be then communicated to data compression coding module progress signal
Close computing；
The preliminary treatment is：In the data processing module, the human body electrocardio that will be collected by ecg signal acquiring module
Signal first through amplification, then carries out removal of impurities noise reduction；
The signal computing cross-correlation is：
1. obtain preliminary treatment after ecg signal data in a cardiac cycle duration electrocardiosignal and to its peak value carry out normalizing
S is denoted as after changei, with the electrocardiosignal S after its next adjacent peak value normalizationi+1By formula
Computing cross-correlation is carried out, obtains the coefficient R of two adjacent electrocardiosignals12, by coefficient R12Amplitude and judgement
Threshold value is compared；
Wherein, the formulaIn, TmFor the time of integration, Tm=kT, k value are 1~200
Between integer, T for a cardiac cycle duration, unit is the second；τ is SiTo Si+1Transition time, unit is the second；D calculates for differential
Son；T is time variable, and unit is the second；
If 2. step 1. R obtained by middle calculating12＜ judgment thresholds, then by electrocardiosignal SiDeposit data processing module is delayed
Deposit, by Si+1~Si+nBetween electro-cardiologic signal waveforms data sending to remote server, then obtain electrocardiosignal Si+n+1, by step
Suddenly 1. by SiWith Si+n+1Carry out computing cross-correlation；If step 1. R obtained by middle calculating12>=judgment threshold, then by electrocardiosignal Si+1
Deposit data processing module is cached, and sends a normal electrocardiosignal code to remote server, then by step 1.
By electrocardiosignal Si+1Continue and next adjacent electrocardiosignal Si+2Carry out computing cross-correlation；
Wherein, the n values are the integer between 1~30, and the judgment threshold value is any one value between 0.25~0.45.
2. compress ecg data transmission method according to claim 1, it is characterized in that,
The preliminary treatment is specifically：
In the data processing module, by the human ecg signal collected by ecg signal acquiring module first through amplification, so
The power frequency component of 50Hz or 60Hz is removed using notch filter afterwards, removes the height of more than 100Hz using low-pass filter afterwards
Band noise provides passband 0.05Hz~100Hz of stabilization for cutoff frequency at the same time；
In this step, the cutoff frequency is -40dB.
3. a kind of electrocardiogram monitor system, it is characterized in that, which includes electrocardio-data collection processing equipment, remote server and shows
Show terminal：
First, the electrocardio-data collection processing equipment includes：
Ecg signal acquiring module, connects with data processing module, for detecting and gathering electrocardiosignal；
Data processing module, connects with the ecg signal acquiring module and data compression coding module, for electrocardiosignal
Be amplified and clean noise reduction preliminary treatment and caching electrocardiosignal；
Data compression coding module, connects with the data processing module and data transmission module, for the heart to preliminary treatment
Electrical signal data carries out abnormal judgement using signal computing cross-correlation, if it is decided that is change without exception, then sends one normally
Electrocardiosignal code OK is to remote server, if it is decided that to be abnormal, then will be determined as the electrocardiosignal that is abnormal and
Original electro-cardiologic signals Wave data after it in 30s periods is sent to remote server by data transmission module, so that
Realize the compression of volume of transmitted data；
Data transmission module, with the data compression coding module, data real-time display module and long-range bi-directional communication modules phase
Connect, for transmitting the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal to the long-range two-way communication of remote server
Module, and transmission remote server the analysis result that sends of long-range bi-directional communication modules to data real-time display module；With
And
Data real-time display module, connects with the data transmission module, for real-time display analysis result and alarm；
2nd, the remote server includes：
Long-range bi-directional communication modules, with the data transmission module, ecg signal data storehouse, data analysis module and display terminal
Connection, for transmitting the Wave data of normal electrocardiosignal code and abnormal electrocardiogram signal to ecg signal data storehouse, Yi Jichuan
Analysis result is sent to data transmission module and display terminal；
Ecg signal data storehouse, connects with the long-range bi-directional communication modules and the data analysis module, normal for storing
The Wave data of electrocardiosignal code and abnormal electrocardiogram signal, and the analysis result of storage data analysis module；And
Data analysis module, connects with the ecg signal data storehouse and the long-range bi-directional communication modules, for the abnormal heart
The Wave data of electric signal carries out discriminatory analysis, obtains analysis result；
3rd, the display terminal connects with the long-range bi-directional communication modules, for checking the analysis result of data analysis module.
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