CN107669262A - Multi-lead Telediagnosis of Electrocardiogram Signals and monitor system and method based on SVM and WLT - Google Patents

Multi-lead Telediagnosis of Electrocardiogram Signals and monitor system and method based on SVM and WLT Download PDF

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Publication number
CN107669262A
CN107669262A CN201711040003.8A CN201711040003A CN107669262A CN 107669262 A CN107669262 A CN 107669262A CN 201711040003 A CN201711040003 A CN 201711040003A CN 107669262 A CN107669262 A CN 107669262A
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lead
module
electrocardiosignal
data
ecg
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王量弘
管明慧
庄婷婷
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王量弘
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006ECG or EEG signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00Medical imaging apparatus involving image processing or analysis
    • A61B2576/02Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • A61B2576/023Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the heart

Abstract

The present invention relates to a kind of multi-lead Telediagnosis of Electrocardiogram Signals based on SVM and WLT and monitor system and method.Include the cardiac diagnosis cloud platform of a wireless multi-lead electrocardiogram signal acquisition device, a data receiver mobile terminal, a supporting vector base algorithm and Algorithms of Wavelet Analysis;The wireless multi-lead electrocardiogram signal acquisition device needs to be affixed on plane of structure lead V1 positions and frontal plane lead RA, RL, LA, LL positions successively according to lead is worn on user front, to real-time collecting test person multi-lead electrocardiosignal and transmits to data receiver mobile terminal;Tester's multi-lead electrocardiosignal of reception is transferred to the processing of cardiac diagnosis cloud platform by the data receiver mobile terminal, and can receive cardiac diagnosis cloud platform feedback information.The present invention can obtain the ECG data of seven leads of patient by measuring and calculation whenever and wherever possible, so as to reach the real-time monitoring to heart.

Description

Multi-lead Telediagnosis of Electrocardiogram Signals and monitor system and method based on SVM and WLT
Technical field
The present invention relates to ECG physiology information detectings and monitoring, the long-range heart of particularly a kind of multi-lead based on SVM and WLT Electrodiagnosis and monitor system and method.
Background technology
In recent years, angiocardiopathy had become one of major causes of death of global human, but this kind of disease is past Toward anxious hair or burst, examination in hospital is often asymptomatic, and hospital can not make a definite diagnosis, and extreme difficulties are caused for the cardiac diagnosis of hospital. In addition, the major way that judgement is hospital diagnosis is carried out to the health of heart of patient by checking electrocardiogram.Therefore, whenever and wherever possible Detection, record and analysis ECG signal become and treat and prevent and the important means of cardiac-related diseases.
Nowadays, the disease relevant with heart is not only the common health disease of the elderly, with expanding economy, drink The change of structure, the reduction of amount of exercise are eaten, middle prime of life crowd also turns into concern crowd.Further, since operating pressure is big, white collar bone Dry elite colony is increasingly becoming the colony occurred frequently of cardiac sudden death.Therefore, how to ensure in the very first time, be all in daily life The detection of phase property, record and analyze the ECG signal of itself and just seem particularly important to guard the health of heart of oneself.It is portable Cardiac monitoring and early warning system just meet such demand.
Currently, electrocardio long distance monitoring technology has become the focus technology of countries in the world electrocardio research.Electrocardio monitoring technology Key technology be to collect good ECG signal, in order to further analyzing and diagnosing.Different cardiac monitoring lead institutes The ecg information collected has different values and meaning.Therefore, compared with the ECG signal of single lead, the electrocardio letter of multi-lead Number many ecg informations can be provided, monitor health of heart more fully hereinafter, further increase the accurate of ecg analysis diagnosis Degree.
Current wireless remote cardiac electrophysiology information acquisition system, does not possess intelligent terminal, human-computer interaction function, user Equipment could preferably be used by generally requiring to possess certain stock of knowledge.And in the case where lacking intelligent diagnostics, use Person tends not to Real Time Observation and compares itself electrocardiosignal, and the judgement for disease transfers to doctor to realize completely.Traditional equipment Do not possess storage, analyze the ability of complicated electrocardiosignal, it is impossible to the feature of initiative recognition signal, the first of disease can not be provided in time Sieve and warning information, can not accomplish real-time monitoring, cause user to tend not to find heart disease in time, can not evade disease hair Raw risk, the state of an illness and treatment curative effect can not be tracked at any time, can not in time catch and abnormal provide reference of seeing a doctor.
The content of the invention
It is an object of the invention to provide a kind of multi-lead Telediagnosis of Electrocardiogram Signals based on SVM and WLT and monitor system and Method, the deficiency of traditional ECG Signal Sampling System is not only overcome, and more effectively improve single lead electrocardiosignal and examine The accuracy problems of disconnected classification results, using a kind of long-range heart of the multi-lead based on supporting vector base algorithm and Algorithms of Wavelet Analysis Electrodiagnosis and monitor system, are guarded and early warning to the signal of multiple leads of heart whenever and wherever possible.
To achieve the above object, the technical scheme is that:A kind of multi-lead remote ecg based on SVM and WLT is examined Disconnected and monitor system, including a wireless multi-lead electrocardiogram signal acquisition device, a data receiver mobile terminal and one support to Measure the cardiac diagnosis cloud platform of base algorithm and Algorithms of Wavelet Analysis;The wireless multi-lead electrocardiogram signal acquisition device is according to lead Need to be affixed on plane of structure lead V1 positions and frontal plane lead RA, RL, LA, LL positions successively and be worn on user front, to reality When collecting test person's multi-lead electrocardiosignal and transmit to data receiver mobile terminal;The data receiver mobile terminal will gather To electrocardiosignal do heart real time waveform and show, and in data receiver mobile terminal storage V1 leads, I leads, the II lead hearts Electric data, then using the feature of Algorithms of Wavelet Analysis analysis electrocardiosignal, by the electrocardiosignal and ecg characteristics after processing Reach cardiac diagnosis cloud platform;Personal information, electrocardiogram (ECG) data and the ecg characteristics of the cardiac diagnosis cloud platform storage patient, are adopted Obtaining other four frontal plane lead aVR leads, aVL leads, aVF leads, III leads with lead composition algorithm, totally seven face amounts are led The electrocardiogram (ECG) data of connection, the ecg wave form of patient is analyzed and processed, pass through algorithm of support vector machine point according to resulting ecg characteristics The type that diagnoses the illness is analysed, disease model is established, finally provides feedback report and proposed projects sends back data receiver mobile terminal, Data receiver mobile terminal shows that user has the electro-cardiologic signal waveforms, feedback report and proposed projects of disease;It is described wirelessly to lead more The multi-lead electrocardiosignal of connection electrocardiogram signal acquisition device collection is contrasted by the electrocardiosignal with historical storage, is obtained simultaneously Inform user's health of heart recovery situation.
In an embodiment of the present invention, the wireless multi-lead electrocardiogram signal acquisition device is a wireless patch formula multi-lead Ecg signal acquiring sensor, including multi-lead ecg signal acquiring paster, flexible PCB, ecg signal acquiring simulation electricity Road, compression algorithm digital processing circuit, low-power consumption bluetooth transtation mission circuit and chargeable power supply circuit;The multi-lead electrocardio Signal acquisition paster is affixed on user front, the input phase of the multi-lead ecg signal acquiring paster and flexible PCB Even, the output end of the flexible PCB is connected to the input of the electrocardiosignal analog circuit, the electrocardiosignal simulation The output end of circuit is connected to the input of the compression algorithm digital processing circuit, the compression algorithm digital processing circuit Output end be connected to the low-power consumption bluetooth transtation mission circuit, the multi-lead heart that the low-power consumption bluetooth transtation mission circuit will collect Electric signal is sent to described data receiver mobile terminal;The multi-lead ecg signal acquiring paster, flexible PCB, electrocardio Signal acquisition analog circuit, compression algorithm digital processing circuit and low-power consumption bluetooth transtation mission circuit with the power supply circuit phase Even.
In an embodiment of the present invention, the data receiver mobile terminal includes low-power consumption bluetooth reception and digital independent mould Block, wavelet algorithm analysis module, application client module, data memory module, multi leads ECG reception and display module, Flash caution module, doctor analyze feedback report module;The low-power consumption bluetooth receives and receives and read with data read module The multi-lead electrocardiosignal that low-power consumption bluetooth transtation mission circuit is sent, the low-power consumption bluetooth receive the output with data read module End is connected to the input of described wavelet algorithm analysis module, and the wavelet algorithm analysis module leading more by what is received Connection ECG Signal Analysis so as to obtain the wave character of the multi-lead electrocardiosignal, described wavelet algorithm analysis module it is defeated Go out end and be connected to the application client module and data memory module, the data memory module is led more to store Connection electrocardiosignal obtains the wave character of multi-lead electrocardiosignal with analysis;The application client module also with it is described more Lead ECG receives to be connected with display module and flash caution module, and multi leads ECG reception is with display module showing Multi-lead electrocardiosignal obtains the wave character of multi-lead electrocardiosignal with analysis, and the flash caution module is working as user Electrocardiosignal sends flash caution signal to remind user and medical personnel when occurring abnormal, and the data memory module is to this Part multi-lead electrocardiosignal makes mark and is easy to the later stage to check;The application client module controlling described lead more Connection ECG receives shows that multi-lead electrocardiosignal is analyzed to obtain multi-lead electrocardio with the wavelet algorithm analysis module with display module The wave character of signal, and control the flash caution module to send flash signal when electrocardiosignal occurs abnormal;It is described to answer It also can be used to establish the personal account of user with client modules with setting personal information, and record the individual human heart of user Health status, history of disease, medication custom and heart recovery, the doctor analyze feedback report module to record doctor's Feedback information is reported and targetedly therapeutic scheme.
In an embodiment of the present invention, described cardiac diagnosis cloud platform includes data reception module, big data cloud storage Module, SVMs heart disease diagnosis algoritic module and personal health center module, diagnosis analysis feedback module, Feedback report and proposed projects module;The input of the data reception module receives what mobile terminal module transtation mission circuit was sent Multi-lead electrocardiosignal, the output end of the data reception module are connected to the input of the big data cloud storage module, institute State big data cloud storage module to store multi-lead electrocardiosignal and the multi-lead electro-cardiologic signal waveforms feature that analyzes and User's heart disease feature and cardiac disease model, the output end of the big data cloud storage module are connected to described support The input of vector machine heart disease diagnosis algoritic module, the SVMs heart disease diagnosis algoritic module is to by greatly The multi-lead electrocardiosignal that data cloud memory module receives does analyzing and diagnosing, and judgement obtains the ripple of surveyed multi-lead electrocardiosignal Shape feature simultaneously judges whether user's heart is healthy and whether suffers from which kind of disease, the SVMs heart disease diagnosis The output end of algoritic module is connected to described personal health center module, doctor's analyzing and diagnosing feedback module, feedback report mould The input of block and proposed projects module, the personal health center module is to patient's self-management own health and deposits Health historical record of storage record patient etc., the feedback report module and proposed projects module provide user's heart disease The reference proposition of primary dcreening operation, and this report is pushed to described data mobile terminal module, described doctor analyzes feedback module Record the treated multi-lead electrocardiosignal of user and built for the diagnosis report of all patients with heart disease primary dcreening operation View.
In an embodiment of the present invention, the wireless patch formula multi-lead ecg signal acquiring sensor is two-sided using medical treatment Electric silica gel and flexible PCB collection electrocardiosignal;The two-sided electric silica gel one side of medical treatment sticks at plane of structure lead V1 positions and volume Totally five positions, another side are sticked on flexible PCB by face lead RA, RL, LA, LL;Electrocardiosignal passes through the two-sided conductive silicon of medical treatment Glue, flexible circuit board, the sampling that ecg signal acquiring analog circuit carries out signal is transmitted signals to, digitlization.
In an embodiment of the present invention, the power supply circuit includes a lithium battery and a charge and discharge power management fills Put, to the ecg signal acquiring paster, multi-lead electrocardiosignal analog circuit, compression algorithm digital processing circuit and Low-power consumption bluetooth transtation mission circuit is powered;The lithium battery is rechargeable battery;Described charge and discharge electric power controller by Application program for mobile terminal monitoring management, the electricity for managing the lithium battery through Application Monitoring in real time consume situation with filling Electric situation, and notify user's battery drain state and whether charge, battery can be reduced because of mistake via electric power controller Fill or cross the loss put and battery life can be extended.
In an embodiment of the present invention, the wireless patch formula multi-lead ecg signal acquiring sensor also includes a trap Filter circuit, to filter the interference of 50Hz industrial frequency noises.
In an embodiment of the present invention, the compression algorithm digital processing circuit is at the numeral of electrocardiosignal containing compression algorithm Circuit is managed, to compress the data of electrocardiosignal, so as to which electrocardiogram (ECG) data be encrypted, the data volume of transmission is reduced, reduces and pass The power consumption of bluetooth during defeated.
In an embodiment of the present invention, the data receiver mobile terminal also includes a SMS transmission module, by multi-lead The electro-cardiologic signal waveforms feature that electrocardiosignal obtains with analysis is sent to doctor, by described feedback report module and proposed projects Primary dcreening operation result obtained from the analysis of module factor data and treatment recommendations report, it is sent to the household of user.
Present invention also offers a kind of cardiac diagnosis and monitoring method using system described above, comprise the following steps,
Step S1:Wireless multi-lead electrocardiogram signal acquisition device is affixed on plane of structure lead V1 positions and frontal plane lead by user RA, RL, LA, LL position are worn on user front, gather multi-lead electrocardiosignal in real time;
Step S2:Multi-lead ecg signal acquiring paster in the wireless multi-lead electrocardiogram signal acquisition device will collect Multi-lead electrocardiosignal transmits blue to low-power consumption through ecg signal acquiring analog circuit and compression algorithm digital processing circuit successively The multi-lead electrocardiosignal collected is sent to data receiver and moved eventually by tooth transtation mission circuit, the low-power consumption bluetooth transtation mission circuit End;
Step S3:Low-power consumption bluetooth receiving circuit in the data receiver mobile terminal receives the low-power consumption bluetooth and sends electricity The multi-lead electrocardiosignal that road is sent, and described multi-lead electrocardiosignal is transmitted to wavelet algorithm analysis module and carries out electrocardio Signature analysis is handled;
Step S4:It is special that the Algorithms of Wavelet Analysis module carries out wavelet algorithm electrocardiosignal to the multi-lead electrocardiosignal received Sign analysis:Detect each peak point of the electrocardiosignal of each lead and calculate the time of each phase, obtain the electrocardio letter Number wave character;The Algorithms of Wavelet Analysis module sends the data of obtained electrocardiosignal and its wave character to application Programmatic client module;
Step S5:The application client module establishes the personal account of user, and user can apply journey by described Sequence client modules control multi leads ECG receives shows the multi-lead electrocardiosignal that is obtained after wavelet analysis with display module Data and its waveform;If obvious exception occurs in user's electrocardiosignal, the application client module control flicker is pre- Alert module sends flash signal;
Step S6:Electrocardiosignal after processing is uploaded to the cardiac diagnosis cloud platform by the application client module, The cardiac diagnosis cloud platform is updated to the personal information of the personal health center module to be collected and stores, and is easy to use Self health control of person, meanwhile, the cardiac diagnosis cloud platform uses supporting vector movement by the wave character of each lead Dirty medical diagnosis on disease algorithm heart rhythm classification model carries out category classification to the ecg wave form of each lead of each user, at present can The class categories of realization have atrial premature beats, auricular fibrillation, VPB, ventricular flutter, auricular flutter and normal cardiac rhythm;
Step S7:If it was found that the improper rhythm of the heart, then the cardiac diagnosis cloud platform can generate analysis report, by the improper rhythm of the heart Electrocardiosignal waveform and the rhythm of the heart classification judged transmit to the application client module and feed back to use Person, user directly can watch report export to doctor, and doctor can analyze feedback module by the doctor simultaneously and check The electrocardiosignal of each lead treated to the process of user simultaneously provides diagnostic result and targetedly therapeutic scheme;
Step S8:If it was found that disaggregated model error in judgement, doctor can carry out rhythm of the heart classification in the cardiac diagnosis cloud platform Modification, disaggregated model can remember this electrocardiogram (ECG) data, and readjust model parameter, and the cloud platform can be each uses Person establishes specific disaggregated model.
Compared to prior art, the invention has the advantages that:
The present invention is using the multi-lead Telediagnosis of Electrocardiogram Signals based on supporting vector base algorithm and Algorithms of Wavelet Analysis and guards, effectively The degree of accuracy of single lead electrocardiosignal medical diagnosis on disease and classification is improved, and can be whenever and wherever possible to the electrocardio of seven leads of heart Signal is guarded and early warning;SMD medical dual-side electric silica gel is wherein provided in the system, in user's normal activity In the case of can collect the electrocardiosignals of seven leads in real time, then by wireless blue tooth technology by multi-lead electrocardiosignal Transmit to data receiver mobile terminal;Data receiver mobile terminal can preserve the electrocardiosignal of multi-lead, and utilize and be arranged on hand Algorithms of Wavelet Analysis analysis module in machine carries out heart disease signature analysis, is shown in the application client of mobile phone each The data that the electrocardiosignal of individual lead obtains with analysis, the physiologic information that can be showed with reference to each lead ECG signal, pass through Complicated and efficient Algorithms of Wavelet Analysis, analysis are obtained the wave character of the ECG signal of each lead, put down using cardiac diagnosis cloud Platform, by wave character, using SVMs heart disease diagnosis algorithm heart rhythm classification model, each ecg wave form is carried out Category classification, once detecting abnormal electrocardiosignal, it can actively judge signal type, sex, age further according to user Decide whether to send warning information etc. information, to remind user to take appropriate measures in time;In addition, user can lead to Cross concrete function of the application client control using APP, recycling such as is sent short messages or surfed the Net at the mode, is transferred data to Household or doctor, reach the function of long distance monitoring, while can also send data to cardiac diagnosis cloud platform, allow data to be converged Collection, borrow the development of big data analysing patient's condition and propose primary dcreening operation suggestion;Doctor can also be put down using Telnet cardiac diagnosis cloud Platform calls the data of primary dcreening operation, studies and proposes corresponding therapeutic modality.
Brief description of the drawings
Fig. 1 is the system overall network framework of the present invention.
Fig. 2 is the theory diagram of present system.
Fig. 3 is the functional block diagram of the system of the present invention.
Fig. 4 is the principle schematic of Algorithms of Wavelet Analysis of the present invention.
Fig. 5 is the principle schematic of SVMs heart disease diagnosis algorithm of the present invention.
Fig. 6 is the functional framework schematic diagram of application client of the present invention.
Embodiment
1-6 below in conjunction with the accompanying drawings, technical scheme is specifically described.
A kind of the multi-lead Telediagnosis of Electrocardiogram Signals and monitor system based on SVM and WLT of the present invention, including one much more wireless lead Join electrocardiogram signal acquisition device, a data receiver mobile terminal and the electrocardio of a supporting vector base algorithm and Algorithms of Wavelet Analysis Diagnose cloud platform;The wireless multi-lead electrocardiogram signal acquisition device according to lead need to be affixed on successively plane of structure lead V1 positions with And frontal plane lead RA, RL, LA, LL positions are worn on user front, to real-time collecting test person multi-lead electrocardiosignal simultaneously Transmit to data receiver mobile terminal;The electrocardiosignal collected is done heart real time waveform and shown by the data receiver mobile terminal Show, and V1 leads, I leads, II lead electrocardiogram (ECG) datas are stored in data receiver mobile terminal, then using Algorithms of Wavelet Analysis point The feature of electrocardiosignal is analysed, the electrocardiosignal after processing and ecg characteristics are uploaded to cardiac diagnosis cloud platform;The electrocardio is examined Personal information, electrocardiogram (ECG) data and the ecg characteristics of disconnected cloud platform storage patient, other four volumes are obtained using lead composition algorithm The electrocardiogram (ECG) data of face lead aVR leads, aVL leads, aVF leads, III leads totally seven frontal plane leads, analyzes and processes patient's Ecg wave form, according to resulting ecg characteristics by algorithm of support vector machine analyzing and diagnosing disease type, disease model is established, Finally provide feedback report and proposed projects sends back data receiver mobile terminal, data receiver mobile terminal shows that user has disease Electro-cardiologic signal waveforms, feedback report and the proposed projects of disease;The leading of the wireless multi-lead electrocardiogram signal acquisition device collection more Connection electrocardiosignal is contrasted by the electrocardiosignal with historical storage, is obtained and is informed user's health of heart recovery situation.
The wireless multi-lead electrocardiogram signal acquisition device is a wireless patch formula multi-lead ecg signal acquiring sensor, Including multi-lead ecg signal acquiring paster, flexible PCB, ecg signal acquiring analog circuit, compression algorithm digital processing electricity Road, low-power consumption bluetooth transtation mission circuit and chargeable power supply circuit;The multi-lead ecg signal acquiring paster is affixed on use Person front, the multi-lead ecg signal acquiring paster are connected with the input of flexible PCB, the flexible PCB it is defeated Go out the input that end is connected to the electrocardiosignal analog circuit, the output end of the electrocardiosignal analog circuit is connected to institute The input of compression algorithm digital processing circuit is stated, the output end of the compression algorithm digital processing circuit is connected to the low work( Bluetooth transtation mission circuit is consumed, the low-power consumption bluetooth transtation mission circuit sends the multi-lead electrocardiosignal collected to described data Receive mobile terminal;The multi-lead ecg signal acquiring paster, flexible PCB, ecg signal acquiring analog circuit, compression Algorithm digital processing circuit and low-power consumption bluetooth transtation mission circuit are connected with the power supply circuit.The wireless patch formula is led more Join ecg signal acquiring sensor using the two-sided electric silica gel of medical treatment and flexible PCB collection electrocardiosignal;The two-sided conduction of medical treatment Silica gel one side sticks at plane of structure lead V1 positions and frontal plane lead RA, RL, LA, LL, and totally five positions, another side stick at flexible electrical On the plate of road;Electrocardiosignal transmits signals to ecg signal acquiring simulation electricity by the two-sided electric silica gel of medical treatment, flexible circuit board Road carries out the sampling of signal, digitlization.The power supply circuit includes a lithium battery and a charge and discharge electric power controller, To the ecg signal acquiring paster, multi-lead electrocardiosignal analog circuit, compression algorithm digital processing circuit and low Power consumption bluetooth transtation mission circuit is powered;The lithium battery is rechargeable battery;Described charge and discharge electric power controller is by moving Dynamic end application monitoring management, electricity consume situation and the charging of the lithium battery are managed through Application Monitoring in real time Situation, and notify user's battery drain state and whether charge, battery can be reduced because overcharging via electric power controller Or cross the loss put and battery life can be extended.The wireless patch formula multi-lead ecg signal acquiring sensor, which also includes one, to fall into Wave filter circuit, to filter the interference of 50Hz industrial frequency noises.The compression algorithm digital processing circuit is the heart containing compression algorithm Electric signal digital processing circuit, to compress the data of electrocardiosignal, so as to which electrocardiogram (ECG) data be encrypted, reduce the number of transmission According to amount, the power consumption of bluetooth in transmitting procedure is reduced.
The data receiver mobile terminal includes low-power consumption bluetooth and received and data read module, wavelet algorithm analysis mould Block, application client module, data memory module, multi leads ECG receive and display module, flash caution module, doctor Analyze feedback report module;The low-power consumption bluetooth, which receives, to be received with data read module and reads low-power consumption bluetooth transtation mission circuit The multi-lead electrocardiosignal of transmission, the low-power consumption bluetooth receives is connected to described small echo with the output end of data read module The input of Algorithm Analysis module, the wavelet algorithm analysis module to the multi-lead ECG Signal Analysis that will receive so as to The wave character of the multi-lead electrocardiosignal is obtained, the output end of described wavelet algorithm analysis module is connected to the application Programmatic client module and data memory module, the data memory module multi-lead electrocardiosignal and are analyzed to store To the wave character of multi-lead electrocardiosignal;The application client module is also received and shown with the multi leads ECG Module and flash caution module are connected, the multi leads ECG receive with display module to show multi-lead electrocardiosignal with Analysis obtains the wave character of multi-lead electrocardiosignal, and the flash caution module is to when user's electrocardiosignal appearance exception When send flash caution signal to remind user and medical personnel, the data memory module is to this part multi-lead electrocardio letter Number making mark is easy to the later stage to check;The application client module receives and display to control the multi leads ECG Module shows that multi-lead electrocardiosignal is analyzed to obtain the wave character of multi-lead electrocardiosignal with the wavelet algorithm analysis module, And the flash caution module is controlled to send flash signal when electrocardiosignal occurs abnormal;The application client end module may be used also To establish the personal account of user with setting personal information, and record the personal health of heart state of user, history of disease, Medication custom and heart recovery, the doctor analyze feedback report module to record the report of the feedback information of doctor and pin To the therapeutic scheme of property.The data receiver mobile terminal also includes a SMS transmission module, by multi-lead electrocardiosignal with dividing Analyse obtained electro-cardiologic signal waveforms feature and be sent to doctor, by described feedback report module and proposed projects module factor data point Primary dcreening operation result obtained from analysis and treatment recommendations report, it is sent to the household of user.
Described cardiac diagnosis cloud platform includes data reception module, big data cloud storage module, SVMs heart Medical diagnosis on disease algoritic module and personal health center module, diagnosis analysis feedback module, feedback report and proposed projects Module;The input of the data reception module receives the multi-lead electrocardiosignal that mobile terminal module transtation mission circuit is sent, institute The output end for stating data reception module is connected to the input of the big data cloud storage module, the big data cloud storage module To store multi-lead electrocardiosignal and the multi-lead electro-cardiologic signal waveforms feature that analyzes and user's heart disease feature with And cardiac disease model, the output end of the big data cloud storage module are connected to described SVMs heart disease diagnosis The input of algoritic module, the SVMs heart disease diagnosis algoritic module to by big data cloud storage module receive To multi-lead electrocardiosignal do analyzing and diagnosing, judge to obtain the wave character of surveyed multi-lead electrocardiosignal and judge user Whether heart is healthy and whether suffers from which kind of disease, and the output end of the SVMs heart disease diagnosis algoritic module connects It is connected to described personal health center module, doctor's analyzing and diagnosing feedback module, feedback report module and proposed projects module Input, the personal health center module is to patient's self-management own health and the body shape of stored record patient Condition historical record etc., the feedback report module and proposed projects module provide the reference proposition of user's heart disease primary dcreening operation, and This report is pushed to described data mobile terminal module, described doctor analyzes the treated of feedback module record user Multi-lead electrocardiosignal and diagnosis report and the heart disease primary dcreening operation suggestion for all patients.
Present invention also offers a kind of cardiac diagnosis and monitoring method using system described above, comprise the following steps,
Step S1:Wireless multi-lead electrocardiogram signal acquisition device is affixed on plane of structure lead V1 positions and frontal plane lead by user RA, RL, LA, LL position are worn on user front, gather multi-lead electrocardiosignal in real time;
Step S2:Multi-lead ecg signal acquiring paster in the wireless multi-lead electrocardiogram signal acquisition device will collect Multi-lead electrocardiosignal transmits blue to low-power consumption through ecg signal acquiring analog circuit and compression algorithm digital processing circuit successively The multi-lead electrocardiosignal collected is sent to data receiver and moved eventually by tooth transtation mission circuit, the low-power consumption bluetooth transtation mission circuit End;
Step S3:Low-power consumption bluetooth receiving circuit in the data receiver mobile terminal receives the low-power consumption bluetooth and sends electricity The multi-lead electrocardiosignal that road is sent, and described multi-lead electrocardiosignal is transmitted to wavelet algorithm analysis module and carries out electrocardio Signature analysis is handled;
Step S4:It is special that the Algorithms of Wavelet Analysis module carries out wavelet algorithm electrocardiosignal to the multi-lead electrocardiosignal received Sign analysis:Detect each peak point of the electrocardiosignal of each lead and calculate the time of each phase, obtain the electrocardio letter Number wave character;The Algorithms of Wavelet Analysis module sends the data of obtained electrocardiosignal and its wave character to application Programmatic client module;
Step S5:The application client module establishes the personal account of user, and user can apply journey by described Sequence client modules control multi leads ECG receives shows the multi-lead electrocardiosignal that is obtained after wavelet analysis with display module Data and its waveform;If obvious exception occurs in user's electrocardiosignal, the application client module control flicker is pre- Alert module sends flash signal;
Step S6:Electrocardiosignal after processing is uploaded to the cardiac diagnosis cloud platform by the application client module, The cardiac diagnosis cloud platform is updated to the personal information of the personal health center module to be collected and stores, and is easy to use Self health control of person, meanwhile, the cardiac diagnosis cloud platform uses supporting vector movement by the wave character of each lead Dirty medical diagnosis on disease algorithm heart rhythm classification model carries out category classification to the ecg wave form of each lead of each user, at present can The class categories of realization have atrial premature beats, auricular fibrillation, VPB, ventricular flutter, auricular flutter and normal cardiac rhythm;
Step S7:If it was found that the improper rhythm of the heart, then the cardiac diagnosis cloud platform can generate analysis report, by the improper rhythm of the heart Electrocardiosignal waveform and the rhythm of the heart classification judged transmit to the application client module and feed back to use Person, user directly can watch report export to doctor, and doctor can analyze feedback module by the doctor simultaneously and check The electrocardiosignal of each lead treated to the process of user simultaneously provides diagnostic result and targetedly therapeutic scheme;
Step S8:If it was found that disaggregated model error in judgement, doctor can carry out rhythm of the heart classification in the cardiac diagnosis cloud platform Modification, disaggregated model can remember this electrocardiogram (ECG) data, and readjust model parameter, and the cloud platform can be each uses Person establishes specific disaggregated model.
It is below a concrete application example of the invention.
The present embodiment provides a kind of multi-lead Telediagnosis of Electrocardiogram Signals based on supporting vector base algorithm and Algorithms of Wavelet Analysis With monitor system, including a wireless multi-lead electrocardiogram signal acquisition device, a data receiver mobile terminal and a supporting vector The cardiac diagnosis cloud platform of base algorithm and Algorithms of Wavelet Analysis;Wireless electrocardiogram signal harvester needs to be affixed on successively according to lead Plane of structure lead V1 positions and frontal plane lead RA, RL, LA, LL positions are worn on user front, and real-time collecting test person leads more Connection electrocardiosignal is simultaneously transmitted to mobile terminal;The electrocardiosignal collected is done heart real time waveform and shown by mobile terminal, and Mobile terminal storage V1 leads, I leads, II lead electrocardiogram (ECG) datas, then using the spy of Algorithms of Wavelet Analysis analysis electrocardiosignal Sign, cardiac diagnosis cloud platform is uploaded to by the electrocardiosignal after processing and ecg characteristics;Cardiac diagnosis cloud platform storage patient's Personal information, electrocardiogram (ECG) data and ecg characteristics, other four frontal plane lead aVR leads, aVL are obtained using lead composition algorithm and led The electrocardiogram (ECG) data of connection, aVF leads, III leads totally seven frontal plane leads, the ecg wave form of patient is analyzed and processed, according to resulting Ecg characteristics by algorithm of support vector machine analyzing and diagnosing disease type, disease model is established in algorithm, is finally provided anti- Feedback reports and recommendations scheme sends back mobile terminal, and mobile terminal shows that user has the electro-cardiologic signal waveforms of disease, feedback report And proposed projects.The electrocardiosignal of the wireless electrocardiogram signal harvester collection with the electrocardiosignal of historical storage by carrying out Contrast, obtains and informs user's health of heart recovery situation;Described data receiver mobile terminal is smart mobile phone.
In the present embodiment, it is normal in user as shown in figure 1, the system provides SMD medical Electricity conductive plaster 11 The electrocardiosignal of seven leads can be collected in the case of activity in real time, by wireless blue tooth technology by lead electrocardiosignal Transmit to intelligent mobile phone terminal 12, the multi-lead electrocardio received using the Algorithms of Wavelet Analysis analyzing and processing being implanted in mobile phone Signal, in the application client 13 of mobile phone terminal, the electrocardiosignal of each lead and the data that analysis obtains are shown, with reference to The physiologic information that each lead ECG signal can show, the efficient Algorithms of Wavelet Analysis by complicated, analysis obtains each The wave character of the ECG signal of lead, so as to make a preliminary judgement, if detecting the electrocardiosignal of severely subnormal, Corresponding flash signal will be sent.User can be used by the control button on the application client 13 of mobile phone terminal APP functions, the ecg wave form of each lead of Real Time Observation itself in user's man-machine interface, while doctor can also be in client End is checked;User can transfer data to long distance monitoring 16, realize the work(of long distance monitoring by the mode such as send short messages or surf the Net Can, while can also transmit to cloud storage platform 14, utilize the electrocardiogram (ECG) data of cloud storage platform storage user, the waveform of each lead Feature and disease model etc., cloud storage platform are utilized medical diagnosis on disease module 15, calculated using SVMs heart disease diagnosis Method heart rhythm classification model, category classification is carried out to each ecg wave form, and establish the rhythm of the heart model of itself, updated in personal health Center, doctor analyze the electrocardiosignal of each lead of the user collected also by cardiac diagnosis cloud platform terminal, can be real When understand user heart condition and give in time user suggest and help, with reference to the electrocardiogram (ECG) data before the user with Cardiac disease condition, preferably carry out further consultation or treatment.The data of each user can be collected to form large database simultaneously, So that researcher calls data in this terminal, the development trend of big data analysing patient's condition is borrowed, studies preferably treatment side Formula;And a large amount of training can be done as training set, the parameter of Support Vector Machines Optimized heart disease diagnosis algorithm, establish more complete The more high heart disease disaggregated model of kind degree of accuracy sensitivity.
In the present embodiment, as shown in Fig. 2 the wireless multi-lead electrocardiogram signal acquisition device is that a wireless patch formula is more Lead ecg signal acquiring sensor, the wireless patch formula multi-lead ecg signal acquiring sensor are believed including multi-lead electrocardio Number collection paster and flexible PCB 211, ecg signal acquiring analog circuit and compression algorithm digital processing circuit 212, low work( Consume bluetooth transtation mission circuit 213 and chargeable lithium cell and discharge and recharge electric power management circuit 214;The multi-lead electrocardiosignal is adopted Collection paster is affixed on user front, and the multi-lead ecg signal acquiring paster is connected with flexible PCB, the flexible circuit The output end of plate is connected to the input of the electrocardiosignal analog circuit, the output end connection of the electrocardiosignal analog circuit The input of the compression algorithm digital processing circuit is connected to, the output end of the compression algorithm digital processing circuit is connected to institute Low-power consumption bluetooth transtation mission circuit is stated, the low-power consumption bluetooth transtation mission circuit sends the multi-lead electrocardiosignal collected to described Data receiver mobile terminal;The multi-lead ecg signal acquiring paster, flexible PCB, electrocardiosignal analog circuit, pressure Compression algorithm digital processing circuit and low-power consumption bluetooth transtation mission circuit with the chargeable lithium cell and discharge and recharge power management Circuit is connected.
In the present embodiment, the wireless multi-lead electrocardiogram signal acquisition device is using the two-sided silica gel of medical treatment and flexible circuit Plate gathers electrocardiosignal.Two-sided medical glue one side sticks at plane of structure lead V1 positions and frontal plane lead RA, RL, LA, LL totally five Position, another side are sticked on flexible PCB.Electrocardiosignal transmits signals to analog circuit by silica gel, flexible circuit board Carry out the sampling of signal, digitlization.
In the present embodiment, the chargeable power supply circuit includes a lithium battery and charge and discharge power management fills Put, to blue to the ecg signal acquiring paster, multi-lead electrocardiosignal analog circuit, digital processing circuit and low-power consumption Tooth transtation mission circuit is powered;The lithium battery is rechargeable battery;Described charge and discharge electric power controller is by mobile terminal Application Monitoring management, the electricity consume situation and charge condition of the lithium battery are managed through Application Monitoring in real time, And notify user's battery drain state and whether charge, the chargeable power supply circuit is connected to charging inlet and can be achieved Charging.
Wherein frivolous reusable lithium battery power supply, by the discharge and recharge of lithium battery, reduction system repeats to purchase electricity The cost in pond, and the function that can be charged at any time is realized, to extend system operating time.
In the present embodiment, the sensor also includes a notch filter circuit, is done to filter 50Hz industrial frequency noises Disturb.
In the present embodiment, the digital processing circuit is the digital processing circuit of electrocardiosignal containing compression algorithm, to press The data of contracting electrocardiosignal, so as to which the data volume road of transmission is encrypted, reduced to electrocardiogram (ECG) data, reduce the indigo plant in transmitting procedure Tooth is lost.
In the present embodiment, the realization of wavelet algorithm as shown in Figure 4, according to analysis and processing cardioelectric signals principle, The Algorithms of Wavelet Analysis module set in mobile phone, receive the ECG signal 41 of multi-lead;Algorithms of Wavelet Analysis module can detect Each peak point of electrocardiosignal, and calculate the time of each phase and the form of the ECG signal of each lead is divided Analysis 42, finally gives corresponding numerical value, if ECG signal is abnormal, system can distinguish that the electrocardiosignal of severely subnormal is done automatically Go out early warning action and suggest feedback 43, and the application client control display module shows and obtained after wavelet analysis The data arrived, user's more intuitive understanding is allowed to the information of oneself electrocardiosignal.
In the present embodiment, the realization of SVMs heart disease diagnosis algorithm as shown in Figure 5, according to analysis electrocardio The principle of signal waveform feature, SVMs heart disease diagnosis algoritic module is set in cardiac diagnosis cloud platform, received ECG signal 51;SVMs heart disease diagnosis algoritic module can carry out category classification 52 to each ecg wave form feature, right The form of the electrocardiosignal of each lead is analyzed, class categories it is diagnosable have atrial premature beats, auricular fibrillation, room property early Fight, ventricular flutter, auricular flutter and normal cardiac rhythm 53, corresponding cardiac disease condition is finally given, if it find that improper The rhythm of the heart, cardiac diagnosis cloud platform can generate analysis report, by the waveform of the electrocardiosignal of the improper rhythm of the heart and the heart judged Rule classification, which is transmitted to application client, feeds back to user 54, and user although it is understood that the electrocardiosignal of oneself each lead Information and directly report export is watched to doctor.
In the present embodiment, as shown in Fig. 2 the data receiver mobile terminal includes, low-power consumption bluetooth is received and data are read Modulus block 221, application client module 222, multi leads ECG receive and display and flash caution module 223, wavelet algorithm Analysis module 224, preliminary judge module 225, doctor analyze feedback report module 226;The low-power consumption bluetooth receives and data Read module receives and reads the multi-lead electrocardiosignal of low-power consumption bluetooth transtation mission circuit transmission, the low-power consumption bluetooth receive with The output end of data read module is connected to the input of described wavelet algorithm analysis module, described wavelet algorithm analysis mould The output end of block is connected to the application client module and data memory module, the application client module Also receive with the multi leads ECG and be connected with display module and flash caution module, the flash caution module makes to work as User's electrocardiosignal sends flash caution signal to remind user and medical personnel, the application client when occurring abnormal End module shows that multi-lead electrocardiosignal is analyzed with the wavelet algorithm to control the multi leads ECG to receive with display module Module analysis obtains the wave character of multi-lead electrocardiosignal, and controls the flash caution mould when electrocardiosignal occurs abnormal Block sends flash signal.
In the present embodiment, as shown in Fig. 2 the cardiac diagnosis cloud platform includes data receiver and big data cloud storage mould Block 231, SVMs heart disease diagnosis algoritic module 232, supporting vector machine model training module 233, diagnosis point Analyse feedback module and feedback report and proposed projects module 234 and personal health center module 235;The data reception module Input receive the multi-lead electrocardiosignal that data receiver mobile terminal module transtation mission circuit is sent, the data reception module Output end be connected to the input of the big data cloud storage module, the output end of the big data cardiac diagnosis cloud platform connects The input of described SVMs heart disease diagnosis algoritic module is connected to, the SVMs heart disease diagnosis are calculated The output end of method module is connected to described personal health center module, doctor's analyzing and diagnosing feedback module, feedback report module And the input of proposed projects module, the personal health center module is to patient's self-management own health and storage Health historical record of patient etc. is recorded, at the beginning of the feedback report module and proposed projects module provide user's heart disease The reference proposition of sieve, and this report is pushed to described data mobile terminal module, described doctor analyzes feedback module note Record treated multi-lead electrocardiosignal and the diagnosis report for all patients and the heart disease primary dcreening operation suggestion of user.
In the present embodiment, due to using V1 leads, I leads, II lead electrocardiogram (ECG) data electrocardiosignals as main gathered data, Using multichannel acquisition technique, the collection of ECG physiological signals is completed, this physiological signal will be transmitted with low-consumption wireless Bluetooth technology Extremely containing the network transfer for including encryption and decryption, data compression, simple medium access, risc processor, radio transceiver function In standing, because nowadays the most universal personal effects is smart mobile phone, so the present embodiment uses smart mobile phone as network transfer Stand.The internal memory of current mobile phone high power capacity is utilized simultaneously, it is possible to achieve the electrocardiosignal having detected that simply is stored, and by setting Algorithms of Wavelet Analysis in application program of mobile phone judges the signal of extraction, provides corresponding warning information.
In the present embodiment, the mobile terminal, which also includes the mobile terminal, also includes a SMS transmission module, will be more The wave character that lead electrocardiosignal obtains electrocardiosignal with analysis is sent to the doctor of hospital and by described feedback report Primary dcreening operation and treatment recommendations the scheme report that module and proposed projects module obtain are sent to the household of user.
In the present embodiment, the application client module is controlling the multi leads ECG to receive and display mould Block shows that multi-lead electrocardiosignal is analyzed to obtain the wave character of multi-lead electrocardiosignal with the wavelet algorithm analysis module, and The flash caution module is controlled to send flash signal when electrocardiosignal occurs abnormal;The application client end module also can use To establish the personal account of user, personal information is set, and the personal health of heart XOR heart for recording user recovers shape Condition, the doctor analyze feedback report module to record the report of the feedback information of doctor and targetedly therapeutic scheme.It is described Personal information of the personal health center module including the use of person, also including the use of self health control of person and the body of patient Life history record etc..Preferably, the personal information is including the use of the name of person, sex, the age, height, body weight, daily Amount of exercise, sleep quality, every basic index of body, medication history and household's contact method.As shown in fig. 6, using journey The functional framework figure of sequence client, user can carry out all kinds of operations by application program.In application client, user Personal account 62 can be established, and personal information is set(Name, sex, age, height, body weight, medication history and household's connection It is mode etc.), wherein personal account can be used for preserving all acquisition and recordings of user and analysis records, so as to user at any time The historical record of oneself is retrieved for examination everywhere, and user can easily manage the personal account of oneself very much.Meanwhile currently collect Electrocardiosignal and the data of analysis can will be shown by the real-time dynamic of application program by the display interface 64 of display module Show.Certainly, if the analysis result of signal is abnormal, abnormal conditions alarm 63 will start immediately, remind user in time. User can obtain the feedback result of primary dcreening operation and recognize the information report 65 of oneself health of heart.
In the present embodiment, as shown in figure 3, being illustrated according to functional block diagram to the system:The system passes through multi-lead Ecg signal acquiring paster 31 gathers the V1 leads, I leads, II lead electrocardiosignals of human heart, and finally obtains plane of structure and lead Connection and I leads, II leads, III leads, aVR leads, aVL leads, aVF leads, the V1 leads such as frontal plane lead totally seven leads Electrocardiogram (ECG) data.It is made up of electrode and connection circuit, is attached to chest plane of structure lead V1 and four limbs frontal plane lead RA, RL, LA, LL On.The detecting system must consider low-power consumption in addition to low noise acoustic jamming and high-performance, additional other circuit requirements consider- Notch filter, it is mainly used in filtering the interference of 50Hz industrial frequency noises, because arround in use more or less can all exist Miscellaneous signal interference, and human body is a big antenna, so this 50Hz AC signal can be coupled into human body Body, this noise source is known from experience through people produces strong interference to detection circuit, especially when physiological ecg signal is quite faint, As long as there is this disturbed sources of noise to exist, electro-cardio signal just can not almost detect, so the use of the circuit of notch filter is with setting Meter is critically important.
Wherein, analog-to-digital conversion and signal pre-processing module 32 can be to the electrocardiosignal of the multi-lead collected at Reason, electrocardiosignal input the filtering and amplification for signal amplification module, doing signal, signal is easy to subsequent treatment, after amplification Signal via digitized processing and low-power consumption processing after, change to radiofrequency signal, be easy to transmission and can greatly reduce size, Building for scalable medical instrument system is realized on the premise of power consumption and overall cost.
In addition, ultra-low power consumption wireless signal transmitting module 33 uses the compatible agreement of super low-power consumption bluetooth 4.0, while include height Performance, the microprocessor core of low-power consumption, can be as the controller of transmitting portion.Ultra-low power consumption wireless signal receiving module 34, The module is the receiving module of data receiver mobile terminal, using the function of the bluetooth 4.0 of mobile phone, can be received on human body Obtained signal is monitored, algorithm is then waited for and is analyzed and handled.With warning algorithm signal processing module 36, the module base In Algorithms of Wavelet Analysis, the characteristic point and characteristic information for extracting ECG signal are filtered to ECG signal, and according to all ages and classes, property Other crowd establishes different judgment mechanisms, judges whether the electrocardiosignal of each lead that extracts is normal, and provide corresponding Warning information.The inflection point detection to electrocardiosignal is realized, display can preserve the electrocardiosignal of user with memory module 35, and The electrocardiosignal collected by application program of mobile phone real-time display and the data by being obtained after Algorithm Analysis, are provided the user most Directly use function, and can the waveform that collects of real-time display and timely warning reminding.The module also on intelligent terminal and Wireless receiving module, signal processing module carry the program of visualization interface together as one in terminal, and display collects Each lead ECG signal waveform, while provide heart rate by being calculated and other lifes reflected by electrocardiogram Manage information.
Finally, sent by low-consumption wireless signal and upload the data to cardiac diagnosis cloud platform 37, the heart with receiving module Electrodiagnosis cloud platform will can also use in addition to analyzing each lead electro-cardiologic signal waveforms feature and user's heart disease feature The data that family collects are collected and stored 38, after professional can be by arranging and studying these data, to a certain area Case in domain carries out contrast monitoring, and also a certain single case can be guarded for a long time, studies the long-term of symptom, group feature hair Exhibition trend, or analyzed for scientific research.Doctor can also monitor the heart condition of user in this terminal, to follow the trail of and diagnosis and treatment It is used, provides better service for user, while data summarization can provide substantial amounts of data with analysis, be advantageous to doctor The research 30 of control and researcher to treatment method to whole state of an illness trend.
Above is presently preferred embodiments of the present invention, all changes made according to technical solution of the present invention, caused function are made During with scope without departing from technical solution of the present invention, protection scope of the present invention is belonged to.

Claims (10)

1. a kind of multi-lead Telediagnosis of Electrocardiogram Signals and monitor system based on SVM and WLT, it is characterised in that:It is wireless more including one Lead electrocardiogram signal acquisition device, a data receiver mobile terminal and the heart of a supporting vector base algorithm and Algorithms of Wavelet Analysis Electrodiagnosis cloud platform;The wireless multi-lead electrocardiogram signal acquisition device needs to be affixed on plane of structure lead V1 positions successively according to lead And frontal plane lead RA, RL, LA, LL positions are worn on user front, to real-time collecting test person multi-lead electrocardiosignal And transmit to data receiver mobile terminal;The electrocardiosignal collected is done heart real time waveform by the data receiver mobile terminal It has been shown that, and V1 leads, I leads, II lead electrocardiogram (ECG) datas are stored in data receiver mobile terminal, then using Algorithms of Wavelet Analysis The feature of electrocardiosignal is analyzed, the electrocardiosignal after processing and ecg characteristics are uploaded to cardiac diagnosis cloud platform;The electrocardio Personal information, electrocardiogram (ECG) data and the ecg characteristics of cloud platform storage patient are diagnosed, other four are obtained using lead composition algorithm The electrocardiogram (ECG) data of frontal plane lead aVR leads, aVL leads, aVF leads, III leads totally seven frontal plane leads, analyze and process patient Ecg wave form, according to resulting ecg characteristics by algorithm of support vector machine analyzing and diagnosing disease type, establish disease mould Type, finally provides feedback report and proposed projects sends back data receiver mobile terminal, and data receiver mobile terminal shows user There are the electro-cardiologic signal waveforms, feedback report and proposed projects of disease;The wireless multi-lead electrocardiogram signal acquisition device collection Multi-lead electrocardiosignal is contrasted by the electrocardiosignal with historical storage, is obtained and is informed that user's health of heart recovers feelings Condition.
2. system according to claim 1, it is characterised in that:The wireless multi-lead electrocardiogram signal acquisition device is a nothing The SMD multi-lead ecg signal acquiring sensor of line, including multi-lead ecg signal acquiring paster, flexible PCB, electrocardio letter Number collection analog circuit, compression algorithm digital processing circuit, low-power consumption bluetooth transtation mission circuit and chargeable power supply circuit;Institute State multi-lead ecg signal acquiring paster and be affixed on user front, the multi-lead ecg signal acquiring paster and flexible PCB Input be connected, the output end of the flexible PCB is connected to the input of the electrocardiosignal analog circuit, the heart The output end of electrical signal simulation circuit is connected to the input of the compression algorithm digital processing circuit, the compression algorithm number The output end of word processing circuit is connected to the low-power consumption bluetooth transtation mission circuit, and the low-power consumption bluetooth transtation mission circuit will collect Multi-lead electrocardiosignal send to described data receiver mobile terminal;The multi-lead ecg signal acquiring paster, flexibility Circuit board, ecg signal acquiring analog circuit, compression algorithm digital processing circuit and low-power consumption bluetooth transtation mission circuit are and institute Power supply circuit is stated to be connected.
3. system according to claim 2, it is characterised in that:The data receiver mobile terminal connects including low-power consumption bluetooth Receipts connect with data read module, wavelet algorithm analysis module, application client module, data memory module, multi leads ECG Receive and analyze feedback report module with display module, flash caution module, doctor;The low-power consumption bluetooth receives and digital independent mould Block is received and reads the multi-lead electrocardiosignal of low-power consumption bluetooth transtation mission circuit transmission, and the low-power consumption bluetooth receives to be read with data The output end of modulus block is connected to the input of described wavelet algorithm analysis module, and the wavelet algorithm analysis module is to general The multi-lead ECG Signal Analysis received is so as to obtaining the wave character of the multi-lead electrocardiosignal, described wavelet algorithm The output end of analysis module is connected to the application client module and data memory module, the data memory module To store multi-lead electrocardiosignal the wave character of multi-lead electrocardiosignal is obtained with analysis;The application client mould Block also receives with the multi leads ECG to be connected with display module and flash caution module, and the multi leads ECG receives and display Module obtains the wave character of multi-lead electrocardiosignal, the flash caution module to show multi-lead electrocardiosignal and analyze To send flash caution signal when user's electrocardiosignal occurs abnormal to remind user and medical personnel, the data Memory module makes mark to this part multi-lead electrocardiosignal and is easy to the later stage to check;The application client module to Control the multi leads ECG to receive and show that multi-lead electrocardiosignal is analyzed with the wavelet algorithm analysis module with display module To the wave character of multi-lead electrocardiosignal, and the flash caution module is controlled to send flicker when electrocardiosignal occurs abnormal Signal;The application client end module also can be used to establish the personal account of user with setting personal information, and record use Personal health of heart state, history of disease, medication custom and the heart recovery of person, the doctor analyze feedback report module and used To record the report of the feedback information of doctor and targetedly therapeutic scheme.
4. system according to claim 3, it is characterised in that:Described cardiac diagnosis cloud platform includes data reception Block, big data cloud storage module, SVMs heart disease diagnosis algoritic module and personal health center module, doctor are examined Disconnected analysis feedback module, feedback report and proposed projects module;The input of the data reception module receives mobile terminal mould The multi-lead electrocardiosignal that block transtation mission circuit is sent, the output end of the data reception module are connected to the big data cloud storage The input of module, the big data cloud storage module are believed to the multi-lead electrocardio for storing multi-lead electrocardiosignal and analyzing Number wave character and user's heart disease feature and cardiac disease model, the output end of the big data cloud storage module connect The input of described SVMs heart disease diagnosis algoritic module is connected to, the SVMs heart disease diagnosis are calculated Method module does analyzing and diagnosing to the multi-lead electrocardiosignal for receiving big data cloud storage module, and judgement obtains surveying lead more Join the wave character of electrocardiosignal and judge whether user's heart is healthy and whether suffers from which kind of disease, the supporting vector The output end of machine heart disease diagnosis algoritic module is connected to described personal health center module, doctor's analyzing and diagnosing feedback mould The input of block, feedback report module and proposed projects module, the personal health center module is to patient's self-management Own health and the health historical record of stored record patient etc., the feedback report module and proposed projects module are given Go out the reference proposition of user's heart disease primary dcreening operation, and this report is pushed to described data mobile terminal module, described doctor It is estranged analysis feedback module record user treated multi-lead electrocardiosignal and for all patients diagnosis report with Heart disease primary dcreening operation suggestion.
5. system according to claim 2, it is characterised in that:The wireless patch formula multi-lead ecg signal acquiring sensing Device is using the two-sided electric silica gel of medical treatment and flexible PCB collection electrocardiosignal;The two-sided electric silica gel one side of medical treatment sticks at plane of structure and led Totally five positions, another side are sticked on flexible PCB by connection V1 positions and frontal plane lead RA, RL, LA, LL;Electrocardiosignal passes through The two-sided electric silica gel of medical treatment, flexible circuit board, the sampling that ecg signal acquiring analog circuit carries out signal is transmitted signals to, number Word.
6. system according to claim 2, it is characterised in that:The power supply circuit include a lithium battery and one charging with Discharge power supply managing device, to the ecg signal acquiring paster, multi-lead electrocardiosignal analog circuit, compression algorithm number Word processing circuit and the power supply of low-power consumption bluetooth transtation mission circuit;The lithium battery is rechargeable battery;Described charge and discharge Electric power controller is by application program for mobile terminal monitoring management, in real time through the electricity of the Application Monitoring management lithium battery Consume situation and charge condition are measured, and notifies user's battery drain state and whether charges, can via electric power controller To reduce battery because overcharging or crossing the loss put and battery life can be extended.
7. system according to claim 2, it is characterised in that:The wireless patch formula multi-lead ecg signal acquiring sensing Device also includes a notch filter circuit, to filter the interference of 50Hz industrial frequency noises.
8. system according to claim 2, it is characterised in that:The compression algorithm digital processing circuit is containing compression algorithm Electrocardiosignal digital processing circuit, to compress the data of electrocardiosignal, so as to which electrocardiogram (ECG) data be encrypted, reduce transmission Data volume, reduce the power consumption of bluetooth in transmitting procedure.
9. system according to claim 3, it is characterised in that:The data receiver mobile terminal also includes a short message sending Module, the electro-cardiologic signal waveforms feature that multi-lead electrocardiosignal obtains with analysis is sent to doctor, by described feedback report Primary dcreening operation result and treatment recommendations report obtained from module and the analysis of proposed projects module factor data, it is sent to the family of user People.
A kind of 10. cardiac diagnosis and monitoring method using system described in claim 1, it is characterised in that:Comprise the following steps,
Step S1:Wireless multi-lead electrocardiogram signal acquisition device is affixed on plane of structure lead V1 positions and frontal plane lead by user RA, RL, LA, LL position are worn on user front, gather multi-lead electrocardiosignal in real time;
Step S2:Multi-lead ecg signal acquiring paster in the wireless multi-lead electrocardiogram signal acquisition device will collect Multi-lead electrocardiosignal transmits blue to low-power consumption through ecg signal acquiring analog circuit and compression algorithm digital processing circuit successively The multi-lead electrocardiosignal collected is sent to data receiver and moved eventually by tooth transtation mission circuit, the low-power consumption bluetooth transtation mission circuit End;
Step S3:Low-power consumption bluetooth receiving circuit in the data receiver mobile terminal receives the low-power consumption bluetooth and sends electricity The multi-lead electrocardiosignal that road is sent, and described multi-lead electrocardiosignal is transmitted to wavelet algorithm analysis module and carries out electrocardio Signature analysis is handled;
Step S4:It is special that the Algorithms of Wavelet Analysis module carries out wavelet algorithm electrocardiosignal to the multi-lead electrocardiosignal received Sign analysis:Detect each peak point of the electrocardiosignal of each lead and calculate the time of each phase, obtain the electrocardio letter Number wave character;The Algorithms of Wavelet Analysis module sends the data of obtained electrocardiosignal and its wave character to application Programmatic client module;
Step S5:The application client module establishes the personal account of user, and user can apply journey by described Sequence client modules control multi leads ECG receives shows the multi-lead electrocardiosignal that is obtained after wavelet analysis with display module Data and its waveform;If obvious exception occurs in user's electrocardiosignal, the application client module control flicker is pre- Alert module sends flash signal;
Step S6:Electrocardiosignal after processing is uploaded to the cardiac diagnosis cloud platform by the application client module, The cardiac diagnosis cloud platform is updated to the personal information of the personal health center module to be collected and stores, and is easy to use Self health control of person, meanwhile, the cardiac diagnosis cloud platform uses supporting vector movement by the wave character of each lead Dirty medical diagnosis on disease algorithm heart rhythm classification model carries out category classification to the ecg wave form of each lead of each user, at present can The class categories of realization have atrial premature beats, auricular fibrillation, VPB, ventricular flutter, auricular flutter and normal cardiac rhythm;
Step S7:If it was found that the improper rhythm of the heart, then the cardiac diagnosis cloud platform can generate analysis report, by the improper rhythm of the heart Electrocardiosignal waveform and the rhythm of the heart classification judged transmit to the application client module and feed back to use Person, user directly can watch report export to doctor, and doctor can analyze feedback module by the doctor simultaneously and check The electrocardiosignal of each lead treated to the process of user simultaneously provides diagnostic result and targetedly therapeutic scheme;
Step S8:If it was found that disaggregated model error in judgement, doctor can carry out rhythm of the heart classification in the cardiac diagnosis cloud platform Modification, disaggregated model can remember this electrocardiogram (ECG) data, and readjust model parameter, and the cloud platform can be each uses Person establishes specific disaggregated model.
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CN109381176A (en) * 2018-09-25 2019-02-26 广州军区广州总医院 Wearable based on Internet of Things leads cardioelectric monitor system and device entirely
CN110063725A (en) * 2019-04-16 2019-07-30 上海掌门科技有限公司 Cardioelectric monitor equipment and system for indicating risk
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