CN106725433B - A kind of cardioelectric monitor method and system - Google Patents

A kind of cardioelectric monitor method and system Download PDF

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CN106725433B
CN106725433B CN201611255055.2A CN201611255055A CN106725433B CN 106725433 B CN106725433 B CN 106725433B CN 201611255055 A CN201611255055 A CN 201611255055A CN 106725433 B CN106725433 B CN 106725433B
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filtering
signal
cardioelectric monitor
noise
filter
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CN106725433A (en
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包磊
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Heilongjiang Shanxing Medical Technology Co.,Ltd.
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Shenzhen Good Health Care Technology Co Ltd
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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
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/6804Garments; Clothes
    • 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
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • 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
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • 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
    • A61B5/725Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters

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  • Life Sciences & Earth Sciences (AREA)
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  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
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  • Artificial Intelligence (AREA)
  • Psychiatry (AREA)
  • Power Engineering (AREA)
  • Cardiology (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

A kind of cardioelectric monitor system includes electrocardioelectrode, filter circuit, electrocardiogram integrated chip, controller, power supply, wireless transmission circuit, Warning Service device, the electrocardioelectrode is set on wearable ECG clothing, the electrocardioelectrode is by the cardioelectric monitor analog signal of acquisition after the filtering processing of filter circuit, it is sent to electrocardiogram integrated chip, cardioelectric monitor digital signal after conversion is sent to controller by the electrocardiogram integrated chip, the controller is by the cardioelectric monitor digital signal and user identifier after compressed encoding, Warning Service device is sent to via wireless transmission circuit, Warning Service the historical data of the cardioelectric monitor digital signal and the user identifier is compared after comparison result, and the comparison result is sent to first-aid centre.This system can note abnormalities at the first time and be succoured by first-aid centre user, be conducive to improve the timeliness that user is succoured.

Description

A kind of cardioelectric monitor method and system
Technical field
The invention belongs to cardioelectric monitor field more particularly to a kind of cardioelectric monitor method and system.
Background technique
Between past more than 20 years, there is unprecedented huge advance in digitlization innovation, not only increasingly influences me Daily life, while also rapid osmotic to medical and health care field.In nineteen nineties, general practice diagnosis and treatment towards The direction of electron medical treatment archives continues to develop, and digital technology is in sanitation and health-care field using also in Rapid Expansion.Digitlization is strong Health technology has the great potential for changing current medical health care mode.However, many new technologies but eventually settle at " finally One kilometer ", and not up to prior anticipation.Aspectant health consultation and diagnosis and treatment are still the prevailing model of general practice diagnosis and treatment, but It is that real-time, wearable, unperturbed and multi-modal monitoring system and corresponding solution have begun and gradually answer It uses in general practice diagnosis and treatment to improve diagnosis and treatment efficiency.
Electrocardiogram is clinically used inspection, not only intuitively reflects health of heart, moreover it is possible to the variation such as mood of embodiment.But Traditional electrocardio equipment can not easily be carried out long term monitoring, be difficult in early detection anomalous ecg due to test mode.
Summary of the invention
The purpose of the present invention is to provide a kind of cardioelectric monitor method and systems, to solve the electrocardio equipment of the prior art not The problem of facilitating long term monitoring, being difficult early detection anomalous ecg.
In a first aspect, the system comprises electrocardioelectrodes, filtering the embodiment of the invention provides a kind of cardioelectric monitor system Circuit, electrocardiogram integrated chip, controller, power supply, wireless transmission circuit, Warning Service device, the electrocardioelectrode, which is set to, wears It wears on formula electrocardio clothing, the electrocardioelectrode after the filtering processing of filter circuit, sends out the cardioelectric monitor analog signal of acquisition It send to electrocardiogram integrated chip, the cardioelectric monitor digital signal after conversion is sent to controller by the electrocardiogram integrated chip, Cardioelectric monitor digital signal and user identifier after compressed encoding are sent to pre- by the controller via wireless transmission circuit Alert server, after the historical data of the cardioelectric monitor digital signal and the user identifier is compared by Warning Service Comparison result, and the comparison result is sent to first-aid centre.
With reference to first aspect, in the first possible implementation of first aspect, the electrocardioelectrode is to be set to the heart Textile electrode on electric clothing, the textile electrode are connected by filter circuit described in conductive braided wire.
With reference to first aspect or the first possible implementation of first aspect, second in first aspect are possible real In existing mode, the power supply includes battery and voltage conversion circuit, the input terminal of the voltage conversion circuit and the battery phase Even, the first output end of the voltage conversion circuit is connected with the energization pins of the electrocardiogram integrated chip, and described first The voltage of output end is matched with the low voltage power supply value of the electrocardiogram integrated chip, the second output of the voltage conversion circuit End is connected with the controller.
With reference to first aspect or the first possible implementation of first aspect, the third in first aspect are possible real In existing mode, the signal input pin of the electrocardiogram integrated chip and the electrocardioelectrode by magnet spring pin insert and are inserted Seat is connected.
With reference to first aspect or the first possible implementation of first aspect, the 4th kind in first aspect are possible real In existing mode, the wireless transmission circuit is the bluetooth communication circuit based on bluetooth 4.0.
With reference to first aspect or the first possible implementation of first aspect, the 5th kind in first aspect are possible real In existing mode, the cardioelectric monitor system further includes timing circuit, and the timing circuit is stopped with the electrocardiogram integrated chip The suspend mode of the suspend mode control pin, and/or the wireless transmission circuit of dormancy control pin, and/or the controller controls pin It is connected.
Second aspect, the embodiment of the invention provides a kind of, and the electrocardio including cardioelectric monitor system described in any of the above-described is supervised Survey method, which comprises
The cardioelectric monitor analog signal of user is acquired by electrocardioelectrode;
The cardioelectric monitor analog signal is filtered, by electrocardiogram integrated chip by the cardioelectric monitor analog signal Be converted to cardioelectric monitor digital signal;
Pre- police uniform is sent to after user identifier and the cardioelectric monitor digital signal are carried out compressed encoding by controller Business device;
Warning Service device obtains the historical data of user according to user identifier, obtains the historical data of the user and currently The cardioelectric monitor digital signal taken compares, and the comparison result is sent to warning center.
It is described that the cardioelectric monitor is simulated in the first possible implementation of second aspect in conjunction with second aspect It includes following one or two kinds of that signal, which is filtered step:
Potential industrial frequency noise and ringing noise are eliminated by dual bilateral filtering technology and twice iterative technique;
Pass through two kinds of parallel noise reductions eliminations and myoelectricity and electrode noise interference.
In conjunction with the first possible implementation of second aspect, in second of possible implementation of second aspect, institute It states and potential industrial frequency noise is eliminated and ringing noise step includes: by dual bilateral filtering technology and twice iterative technique
After end effect signal is inputted first filter, forward filtering is executed, the first forward filtering signal is obtained;
Inverse filtering is executed to the first forward filtering signal, obtains the first inverse filtering signal;
The first inverse filtering signal iteration is inputted into the first filter, executes the forward filtering, obtains the Two forward filtering signals;
The inverse filtering is executed to the second forward filtering signal, obtains first filter not comprising industrial frequency noise Wave signal;
Wherein, the first filter is according to sample rate, trap frequency and the first resistance band and original filter In parameters, the first filter is calculated.
In conjunction with the first possible implementation of second aspect, in the third possible implementation of second aspect, institute It states and includes: by two kinds of parallel noise reductions eliminations and myoelectricity and electrode noise interference step
Parallel one: noise-containing intrinsic mode functions IMF being decomposed by Empirical mode decomposition, by the intrinsic mode functions The signal sequence for including carries out window segmentation according to preset length, the max-thresholds and minimum threshold of window is obtained, according to institute It states max-thresholds and minimum threshold is filtered;
Parallel two: extracting and filter out the baseline drift in electrocardiosignal, filter out flesh respectively using wavelet method and trapper Above-mentioned three kinds filtered signals are added the reference signal as sef-adapting filter by electrical interference and Hz noise, and noisy Electrocardiosignal carries out adaptive-filtering, generates output signal.
In the present invention, cardioelectric monitor analog signal is acquired by electrocardioelectrode, by filter circuit to the cardioelectric monitor Analog signal is filtered, and filtered signal is converted to cardioelectric monitor digital signal by electrocardiogram integrated chip, by controlling After device carries out coding compression to the digital signal, it is sent to Warning Service device together with user identifier, Warning Service device passes through ratio More current cardioelectric monitor digital signal and the corresponding historical data of user identifier generate comparison result and are sent in first aid The heart, can be at the first time when user's electrocardiogram (ECG) data occurs abnormal so as to carry out effective monitoring in real time to user It notes abnormalities and user is succoured by first-aid centre, be conducive to improve the timeliness that user is succoured.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of cardioelectric monitor system provided in an embodiment of the present invention;
Fig. 2 is the implementation flow chart of cardioelectric monitor method provided in an embodiment of the present invention;
Fig. 3 is the structural schematic diagram of electrocardiograph monitoring device provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
The main purpose of the embodiment of the present invention is to provide a kind of cardioelectric monitor system and cardioelectric monitor method, existing to solve There is the cardioelectric monitor system in technology, it has not been convenient to permanently effective monitoring is carried out to user, thus cannot be in user's body state It when occurring abnormal, notes abnormalities at the first time, timely and effectively succours, be unfavorable for from being unable to user is facilitated to take patient The problem of preferably ensureing the life and health of people.With reference to the accompanying drawing, the present invention is further illustrated.
Fig. 1 is the structural schematic diagram of cardioelectric monitor system provided in an embodiment of the present invention, and the system comprises electrocardioelectrodes 1, filter circuit 2, electrocardiogram integrated chip 3, controller 4, power supply 5, wireless transmission circuit 6, Warning Service device 7, the electrocardio Electrode 1 is set on wearable ECG clothing, and the cardioelectric monitor analog signal of acquisition is passed through filter circuit 2 by the electrocardioelectrode 1 Filtering processing after, be sent to electrocardiogram integrated chip 3, the electrocardiogram integrated chip 3 is by the cardioelectric monitor number after conversion Signal is sent to controller 4, the controller 4 by the cardioelectric monitor digital signal and user identifier after compressed encoding, via Wireless transmission circuit 6 is sent to Warning Service device 7, and Warning Service is by the cardioelectric monitor digital signal and the user identifier Historical data be compared after comparison result, and the comparison result is sent to first-aid centre.
Specifically, the electrocardioelectrode 1, for obtaining the electrocardiosignal of user.As a preferred embodiment of the present invention, The electrocardioelectrode 1 uses textile electrode, is arranged on wearable electrocardio clothing.Also, the textile electrode 1 passes through conduction Braided wire is connected to filter circuit.It is configured by way of textile electrode on electrocardio clothing, can be convenient the lasting wearing of user, And textile electrode can effectively conduct electrocardiosignal, so that the electrocardiosignal obtained is reliable and stable.
The filter circuit 2 can be filtered in such a way that low-pass filter circuit and high-pass filtering circuit combine Processing also may include being preset with the processor of filtering algorithm to be filtered the cardioelectric monitor analog signal.It is described Filtering algorithm has specific introduction in subsequent processes part.
The electrocardio integrated chip 3, alternatively referred to as ECG (full name in English Electrocardiograph) chip, are used for Gain amplification, analog-to-digital conversion etc. are carried out to recording electrode analog signal collected.The electrocardiogram integrated chip 2 includes but not It is limited to ADS1294, ADS1296, ADS1298, ADS1294R, ADS1296R or ADS1298R.
It is arranged or is equipped with the application program being analyzed and processed to signal or software in the controller 4, it can be right The data of acquisition such as are filtered, compress, encode or encrypt at the operation.The controller can use the high-performance of super low-power consumption 32 ARM Cortex-M4F processors, the processor have FPU Float Point Unit, can quickly carry out the filtering of electrocardiogram (ECG) data With the calculating of compression scheduling algorithm, system operation time is reduced.After each sampling processing electrocardiogram (ECG) data, timing electricity can receive The timing signal on road, controller system enter sleep pattern, after predetermined period of time, are waken up and are controlled by timer Device system is sampled next time.Also, the present invention can also be outer by what is do not used in processor according to different application scenarios If energization pins circuit corresponding with I/O port is disconnected or closed, power consumption is further decreased.Circuit structure of the present invention, can be with The power consumption of processor is set to drop to 3mW or less.
The power supply 5 can be the battery directly powered, and may include as preferably a kind of embodiment, the power supply Battery and voltage conversion circuit, the input terminal of the voltage conversion circuit are connected with the battery, the voltage conversion circuit First output end is connected with the energization pins of the electrocardiogram integrated chip, and the voltage of first output end and the electrocardio The low voltage power supply value of figure integrated chip matches, and the second output terminal of the voltage conversion circuit is connected with the controller.
Certainly, the signal circuit 6 can be connected with second output terminal, can also be with the first output end phase Even.
Wherein, the battery can be lithium ion battery, lithium manganese button cell or zinc sky button cell.The battery Voltage can be 3.0V, or 5.0V, 3.7V etc..For example, can pass through when the voltage of single button cell is 1.5V Concatenated mode obtains the output voltage of 3.0V.
Voltage conversion circuit in the electrocardio-data collection circuit can convert for DC-DC, former direct current is passed through tune Its whole PWM (duty ratio) controls the size of the effective voltage of output, may include booster circuit or reduction voltage circuit.Described One output end is connected with electrocardiogram integrated chip, provides electric energy for electrocardiogram integrated chip.The voltage of first output end can Think the low voltage value matching of the energization pins of electrocardiogram integrated chip.To make voltage internal in electrocardiogram integrated chip adjust Device does not need to carry out the conversion of LDO voltage, and the conversion of LDO voltage can generate biggish electric energy loss, thus advantageously reduces chip Power consumption.To be more advantageous to the electrocardio clothing for dressing ECG detecting that user can be lasting.
The electrocardiogram integrated chip 2, for example, ADS1294, ADS1296, ADS1298, ADS1294R, ADS1296R or ADS1298R etc..Its system power supply generally acquires as 3.3V.But in the present invention, main core is used in inside Low pressure difference linear voltage regulator LDO is converted into 1.8V, can generate biggish electric energy loss in conversion process.In the present invention, in order to System power dissipation is effectively reduced, the 1.8V adjuster of ECG chip interior is prohibited, but by battery by voltage conversion circuit DC-DC transformation, output 1.8V directly use for ECG chip after filtering processing, just reduce power consumption from power supply in this way. Furthermore it is possible to the unwanted function and pin in electrocardiogram integrated chip be closed, to reduce function according to different application scenarios Consumption.When can make 12 lead, the part ECG power consumption drops to 20mW.
In addition, the present invention may also include timer, the timer can be with the power consumption control of the signal circuit The power consumption control pin of pin and/or electrocardiogram integrated chip.When not needing to carry out signal acquisition, automatically into suspend mode mould Formula, so as to save more electric energy.The timer can be realized for controller, can also use special timing electricity Road.
The signal circuit 6, is preferably based on the bluetooth communication circuit of 4.0 transport protocol of bluetooth.The signal transmission Circuit 6 can be connected with first output end, for example use 4.0 transmission plan of low-power consumption bluetooth of 1.8V.
In addition, in order to improve the convenience of electrocardiogram acquisition circuit installation, the signal input part of the electrocardiogram integrated chip It is provided with the interface that can be connected with recording electrode.In preferred embodiment, the interface is magnet spring pin insert.Strongly Interface is sucked firmly in magnet, and very firm bounce, spring needle increases the plug service life, up to 1,000,000 times.There is convenient, letter The advantages that number high-quality, secured.
Fig. 2 is the implementation flow chart of cardioelectric monitor method provided in an embodiment of the present invention, and details are as follows:
The realization of the cardioelectric monitor method, based on cardioelectric monitor system described in Fig. 1, the method is specifically included:
In step s 201, the cardioelectric monitor analog signal of user is acquired by electrocardioelectrode.
Specifically, the electrocardioelectrode can be textile electrode, the electrocardioelectrode can by conductive braided wire with Filter circuit is connected.The electrocardioelectrode can be set on electrocardio clothing, and user, can be by knitting when dressing the electrocardio clothing Object electrode effectively obtains cardioelectric monitor analog signal.
In step S202, the cardioelectric monitor analog signal is filtered, by electrocardiogram integrated chip by the heart Pyroelectric monitor analog signal is converted to cardioelectric monitor digital signal.
The cardioelectric monitor analog signal is filtered, the power frequency in cardioelectric monitor analog signal can be effectively removed Interference, vibration loop noise and myoelectricity noise and electrode noise etc..
Wherein, it includes following one or two kinds of for being filtered step to the cardioelectric monitor analog signal:
Potential industrial frequency noise and ringing noise are eliminated by dual bilateral filtering technology and twice iterative technique;
Pass through two kinds of parallel noise reductions eliminations and myoelectricity and electrode noise interference.
Specifically, described eliminate potential industrial frequency noise and vibration by dual bilateral filtering technology and twice iterative technique Bell noise step includes:
After end effect signal is inputted first filter, forward filtering is executed, the first forward filtering signal is obtained;
Inverse filtering is executed to the first forward filtering signal, obtains the first inverse filtering signal;
The first inverse filtering signal iteration is inputted into the first filter, executes the forward filtering, obtains the Two forward filtering signals;
The inverse filtering is executed to the second forward filtering signal, obtains first filter not comprising industrial frequency noise Wave signal;
Wherein, the first filter is according to sample rate, trap frequency and the first resistance band and original filter In parameters, the first filter is calculated.
The dual bilateral filtering technology the specific implementation process is as follows:
1. initializing.The resistance band of given sample rate, trap frequency and trapper calculates filter coefficient by formula (1).
Wherein, formula (1) specifically:
fsFor the sample rate, f0For the trap frequency, Δ f is first resistance band.
2. first time bilateral filtering.So that end effect signal is passed through the system that formula (1) determines, obtains output signal and residual Part, residual fraction contain potential industrial frequency noise PLI and vibration loop noise RAs.This process is equivalent to original signal and is filtered Wave is twice: being once from left to right;Another time is from right to left.Since formula (1) is a causal system, the same heartbeat pulse letter RAs caused by number can be located at the two sides of pulse.
3. second of bilateral filtering.Filtering signal is set to obtain output signal again by same system.PLI will in this step It is filtered out.Residual error portion only includes RAs and the broadband noise in stopband.
4. RAs is positioned.Using difference, low pass filtered involve the technologies such as threshold value to step 3. in RAs in residual error portion into Row positioning.
5. RAs is eliminated.RAs is eliminated using certain threshold rule, i.e., screens each heart in step 3. middle residual error portion The coefficient of the one end (pulse both ends one end is polluted, and the other end is not contaminated) that do not polluted by RAs in jump pulse is as output.It is practical On, cause output signal that will also be eliminated in this step in starting end for about distortion in several seconds by the transient effect of system.
Dual bilateral filtering technology implies an important hypothesis: the resistance band parameter of setting makes every two heartbeat arteries and veins The RAs for rushing signal generation is not overlapped, which can not tell the RAs of overlapping.Actually selected resistance band is inevitable Will cause RAs overlapping.Because alternating current power frequency usually has certain drift, the industrial standard of general country be controlled at 1% with It is interior;But poor alternating current environment, drift up to 3%.Double iterative technique can solve this problem.
Iterative technique filtering twice is described below:
1. carrying out PLI elimination using biggish first resistance band.Biggish first resistance band of setting one (ratio Such as 6.0Hz), target signal filter PLI is interfered using dual bilateral filtering technology.PLI and relatively strong but hold is contained in residual error portion Shorter RAs of continuous time.
2. carrying out signal reconstruct using lesser second resistance band.Select lesser second resistance band (actual conditions require to be less than 6.0Hz, generally 2.0Hz or so), using dual bilateral filtering technology to upper step (1.) residual error portion Divide and is handled.It obtains output this step of filtering part and residual error portion is mainly utilized than the intensity of original signal usually low two Two-stage, the RAs for including in residual error portion can be ignored.
It is being using the requirement on the larger and lesser stopband wide duration and intensity to RAs in iterative technique twice Complementary.As can be seen that eliminating while Hz noise and RAs is Non real-time processing, but it is (such as therein low by design Pass filter coefficient is set as simple integral coefficient), it can be achieved that quasi real time handling.
Pass through that two kinds of parallel noise reductions are eliminated and myoelectricity and electrode noise interference step include: for described
Parallel one: noise-containing intrinsic mode functions IMF being decomposed by Empirical mode decomposition, by the intrinsic mode functions The signal sequence for including carries out window segmentation according to preset length, the max-thresholds and minimum threshold of window is obtained, according to institute It states max-thresholds and minimum threshold is filtered;
Parallel two: extracting and filter out the baseline drift in electrocardiosignal, filter out flesh respectively using wavelet method and trapper Above-mentioned three kinds filtered signals are added the reference signal as sef-adapting filter by electrical interference and Hz noise, and noisy Electrocardiosignal carries out adaptive-filtering, generates output signal.
Specifically, frequency band and noise frequency band in view of electrocardiosignal the phenomenon that there are aliasings, simple combination denoising Method only the noise other than electrocardiosignal frequency range can be filtered out completely, and to the noise of aliasing denoising when, will certainly The characteristic of each waveform is influenced, to cause the distortion of signal.So also to be fully taken into account when being combined to all kinds of methods, To keep electrocardiogram undistorted as far as possible during denoising.In addition, every kind of method is again before carrying out all kinds of method combinations There is respective difficult point.Such as: when using Wavelet Denoising Method, need to consider the On The Choice of wavelet basis;When being denoised with threshold method, need Consider the On The Choice of optimal threshold;When being denoised with morphology, need to consider On The Choice of structural element etc..So When selecting the combination of denoising scheme, to fully consider respective advantage and disadvantage, learn from other's strong points to offset one's weaknesses.
The present invention realizes the purpose of aliasing noise interference removal by the parallel noise reduction of two-way:
Parallel one: Empirical mode decomposition (EMD) is very suitable to handle non-linear and non-stationary signal, maximum excellent Gesture, which is that, does not need basic function predetermined to indicate signal, the adaptively selected substrate of direct basis signal self-characteristic Signal is analyzed, unlike wavelet method, needs to define wavelet function, so that the On The Choice of wavelet basis is faced, therefore very Suitable for processing cardioelectric signals.But due to the aliasing of signal frequency band and noise frequency band, during denoising, letter will cause Number distortion, so, the present invention consider and Threshold denoising be combined.But soft, hard -threshold is all by will be greater than threshold value Value be arranged to given threshold value, and be less than the method for the value zero setting of threshold value to achieve the purpose that denoising, gone to increase mistake A possibility that making an uproar, therefore the method that the present invention uses dual threshold.This method is decomposited from EMD first to be found in all IMF come Noise-containing intrinsic mode functions IMF, and then the signal sequence for including these IMF carry out " window " segmentation, set " window Mouthful " length, calculate the maximum in " window ", minimum value obtains max-thresholds and minimum threshold to get the double of each " window " are arrived Threshold value is filtered.
Parallel two: mathematical morphology is the mathematical tool analyzed based on morphological structuring element image.It Basic thought is to go to measure and extract the correspondingly-shaped in image with the structural element with certain form to reach to image point The purpose of analysis and identification.Electrocardiosignal is the One Dimension Periodic signal constituted with PQRST wave, so in selecting structure element, choosing Selecting linear type can compare conducive to analysis and processing.But this method is more sensitive to singular point, to will cause QRS wave shape Distortion, so this patent considers to combine trapper, wavelet method and sef-adapting filter, and sef-adapting filter can be good at Reflect real-time.This method is to extract baseline drift using morphologic method and filtered out first, secondly utilizes small echo Method and trapper filter out myoelectricity interference and Hz noise, and the signal for then filtering three kinds is added as sef-adapting filter Reference signal carries out adaptive-filtering with noisy electrocardiosignal, is finally reached the effect of denoising.
In step S203, after user identifier and the cardioelectric monitor digital signal are carried out compressed encoding by controller It is sent to Warning Service device;
In step S204, Warning Service device obtains the historical data of user according to user identifier, by going through for the user History data and the cardioelectric monitor digital signal currently obtained compare, and the comparison result is sent to warning center.
As the embodiment that the present invention advanced optimizes, the controller can also be by the location information of user, environment Information and historical diagnostic information are sent to Warning Service device, and Warning Service device is allowed to complete more accurate electrocardiogram (ECG) data Analysis.For example, the dynamic status data chart of user can be established according to the data of acquisition, in conjunction with the diagnostic message of history, Generation is targetedly suggested, the mobile terminal etc. with user identifier binding can be sent to.
Cardioelectric monitor method of the present invention is described in Fig. 1 on the basis of cardioelectric monitor system, further to cardioelectric monitor The filtering processing of analog signal has carried out specific introduction, by above-mentioned filtering processing, available more structurally sound electrocardio prison Survey signal.
In addition, described device includes: as shown in figure 3, present invention implementation just additionally provides a kind of electrocardiograph monitoring device
Acquisition unit 301, for acquiring the cardioelectric monitor analog signal of user by electrocardioelectrode;
Converting unit 302 is filtered, it, will by electrocardiogram integrated chip for being filtered to the cardioelectric monitor analog signal The cardioelectric monitor analog signal is converted to cardioelectric monitor digital signal;
First transmission unit 303, for being pressed user identifier and the cardioelectric monitor digital signal by controller Warning Service device is sent to after reducing the staff code;
Second transmission unit 304 will be described for obtaining the historical data of user according to user identifier by Warning Service device The historical data of user and the cardioelectric monitor digital signal currently obtained compare, and the comparison result is sent in early warning The heart.
This electrocardiograph monitoring device is corresponding with above-mentioned cardioelectric monitor method, so here is no more repetition.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied Another system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or discussed Mutual coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or logical of device or unit Letter connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words It embodies, which is stored in a storage medium, including some instructions are used so that a computer Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention Portion or part.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), Random access memory (RAM, Random Access Memory), magnetic or disk etc. be various to can store program code Medium.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (7)

1. a kind of cardioelectric monitor system, which is characterized in that the system comprises electrocardioelectrode, filter circuit, electrocardiograms to integrate core Piece, controller, power supply, wireless transmission circuit, Warning Service device, the electrocardioelectrode is set on wearable ECG clothing, described The cardioelectric monitor analog signal of acquisition after the filtering processing of filter circuit, is sent to electrocardiogram and integrates core by electrocardioelectrode Cardioelectric monitor digital signal after conversion is sent to controller by piece, the electrocardiogram integrated chip, and the controller will compress Cardioelectric monitor digital signal and user identifier after coding are sent to Warning Service device, pre- police uniform via wireless transmission circuit The historical data of the cardioelectric monitor digital signal and the user identifier is compared to obtain comparison result by business device, and will The comparison result is sent to first-aid centre, wherein the filter circuit passes through dual bilateral filtering technology and iteration skill twice Art eliminates potential industrial frequency noise and ringing noise, passes through two kinds of parallel noise reductions and eliminates myoelectricities and electrode noise interference, in which: The filter circuit eliminates potential industrial frequency noise and ringing noise by dual bilateral filtering technology and twice iterative technique It specifically includes: after end effect signal is inputted first filter, executing forward filtering, obtain the first forward filtering signal;It is right The first forward filtering signal executes inverse filtering, obtains the first inverse filtering signal;By the first inverse filtering signal Iteration inputs the first filter, executes the forward filtering, obtains the second forward filtering signal;To the described second positive filter Wave signal executes the inverse filtering, obtains the first filtering signal not comprising industrial frequency noise, described to pass through two kinds of parallel noise reductions Eliminating myoelectricity and electrode noise interference includes: parallel one: decomposing noise-containing intrinsic mode functions by Empirical mode decomposition IMF, the signal sequence for including by the intrinsic mode functions carry out window segmentation according to preset length, obtain the maximum threshold of window Value and minimum threshold, are filtered according to the max-thresholds and minimum threshold;Parallel two: extracting and filter out in electrocardiosignal Baseline drift filters out myoelectricity interference and Hz noise using wavelet method and trapper respectively.
2. cardioelectric monitor system according to claim 1, which is characterized in that the electrocardioelectrode is to be set on electrocardio clothing Textile electrode, the textile electrode are connected by conductive braided wire with the filter circuit.
3. cardioelectric monitor system according to claim 1 or claim 2, which is characterized in that the power supply includes battery and voltage conversion Circuit, the input terminal of the voltage conversion circuit are connected with the battery, the first output end of the voltage conversion circuit and institute The energization pins for stating electrocardiogram integrated chip are connected, and the voltage of first output end is low with the electrocardiogram integrated chip The matching of power voltage supply value, the second output terminal of the voltage conversion circuit are connected with the controller.
4. cardioelectric monitor system according to claim 1 or claim 2, which is characterized in that the signal of the electrocardiogram integrated chip is defeated Enter pin and is connected with the electrocardioelectrode by magnet spring pin insert and socket.
5. cardioelectric monitor system according to claim 1 or claim 2, which is characterized in that the wireless transmission circuit is based on bluetooth 4.0 bluetooth communication circuit.
6. cardioelectric monitor system according to claim 1 or claim 2, which is characterized in that the cardioelectric monitor system further includes timing The suspend mode of the suspend mode control pin, and/or the controller of circuit, the timing circuit and the electrocardiogram integrated chip controls The suspend mode control pin of pin, and/or the wireless transmission circuit is connected.
7. a kind of electrocardiograph monitoring device, which is characterized in that described device includes:
Acquisition unit, for acquiring the cardioelectric monitor analog signal of user by electrocardioelectrode;
Converting unit is filtered, for being filtered to the cardioelectric monitor analog signal, by electrocardiogram integrated chip by the heart Pyroelectric monitor analog signal is converted to cardioelectric monitor digital signal;
First transmission unit, after user identifier and the cardioelectric monitor digital signal are carried out compressed encoding by controller It is sent to Warning Service device;
Second transmission unit, for obtaining the historical data of user according to user identifier by Warning Service device, by the user's Historical data and the cardioelectric monitor digital signal currently obtained compare, and the comparison result is sent to warning center;
The filtering converting unit includes:
First filtering subunit, for eliminating potential industrial frequency noise by dual bilateral filtering technology and twice iterative technique And ringing noise;
Second filtering subunit, for eliminating myoelectricity and electrode noise interference by two kinds of parallel noise reductions;
First filtering subunit includes:
First forward filtering module executes forward filtering, obtains first after end effect signal is inputted first filter Forward filtering signal;
First inverse filtering module obtains the first inverse filtering for executing inverse filtering to the first forward filtering signal Signal;
Second forward filtering module executes institute for the first inverse filtering signal iteration to be inputted the first filter Forward filtering is stated, the second forward filtering signal is obtained;
Second inverse filtering module obtains not including work for executing the inverse filtering to the second forward filtering signal First filtering signal of frequency noise;
Wherein, the first filter is according in sample rate, trap frequency and the first resistance band and original filter The first filter is calculated in parameters;
Second filtering subunit includes:
First parallel processing module will be described for decomposing noise-containing intrinsic mode functions IMF by Empirical mode decomposition The signal sequence that intrinsic mode functions include carries out window segmentation according to preset length, obtains the max-thresholds and Minimum Threshold of window Value, is filtered according to the max-thresholds and minimum threshold;
Second parallel processing module uses wavelet method and trapper for extracting and filtering out the baseline drift in electrocardiosignal Myoelectricity interference and Hz noise are filtered out respectively.
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Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108113664B (en) * 2017-12-07 2020-09-18 广州视源电子科技股份有限公司 Method and system for inhibiting ringing of notch filter in electrocardiosignal acquisition process
CN108542379A (en) * 2018-06-01 2018-09-18 北京卓冉科技有限公司 Heart early-warning apparatus
CN110537908B (en) * 2019-09-03 2024-04-09 深圳旭宏医疗科技有限公司 Electrocardiogram monitoring equipment and using method
CN110693490A (en) * 2019-10-28 2020-01-17 郑州市中心医院 Portable wireless electrocardiograph
CN110859613B (en) * 2019-11-20 2022-07-22 深圳市健云互联科技有限公司 Electrocardiogram data processing device, computer device, and storage medium
CN111084618A (en) * 2019-12-13 2020-05-01 安徽通灵仿生科技有限公司 Wearable multifunctional respiration cycle detection system and method
CN111564215A (en) * 2020-04-20 2020-08-21 武汉工程大学 Electrocardio monitoring system
CN112133251B (en) * 2020-10-30 2022-10-14 歌尔科技有限公司 Wearable device display control method and wearable device
CN114027847B (en) * 2021-11-17 2023-05-05 湖南万脉医疗科技有限公司 Electrocardiosignal analysis method based on time-frequency analysis
CN114234361A (en) * 2021-12-14 2022-03-25 北京工业大学 Central air-conditioning sensor fault detection method based on double noise reduction and fuzzy indexes
CN115349864B (en) * 2022-10-19 2023-01-24 之江实验室 Wearable electrocardiogram wireless acquisition method and device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008130178A1 (en) * 2007-04-23 2008-10-30 Jae Chern Yoo Remote medical-diagnosis system and method
CN102968550A (en) * 2012-10-18 2013-03-13 上海交通大学无锡研究院 Human health unified management system for community based on body area network
CN104921719A (en) * 2015-05-15 2015-09-23 苏州极致医疗技术有限公司 Omni-directional real-time electrocardiogram monitoring device
CN105472013A (en) * 2015-12-23 2016-04-06 深圳达实智能股份有限公司 Remote physiological data collection method and system
CN205458668U (en) * 2016-02-03 2016-08-17 包磊 Electrocardio monitoring clothing

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101953684B (en) * 2009-07-17 2013-03-20 深圳市理邦精密仪器股份有限公司 Power frequency interference filtering method for eliminating ringing
CN202036216U (en) * 2010-11-19 2011-11-16 绵阳师范学院 Electrocardiographic remote wireless monitoring system
US8433399B1 (en) * 2012-01-03 2013-04-30 Farhad David Nosrati Method and apparatus for an interactively programmable ECG device with wireless communication interface to remote computing devices
CN102940488A (en) * 2012-11-08 2013-02-27 西安信唯信息科技有限公司 Portable monitoring system for heart patients
CN104605841A (en) * 2014-12-09 2015-05-13 电子科技大学 Wearable electrocardiosignal monitoring device and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008130178A1 (en) * 2007-04-23 2008-10-30 Jae Chern Yoo Remote medical-diagnosis system and method
CN102968550A (en) * 2012-10-18 2013-03-13 上海交通大学无锡研究院 Human health unified management system for community based on body area network
CN104921719A (en) * 2015-05-15 2015-09-23 苏州极致医疗技术有限公司 Omni-directional real-time electrocardiogram monitoring device
CN105472013A (en) * 2015-12-23 2016-04-06 深圳达实智能股份有限公司 Remote physiological data collection method and system
CN205458668U (en) * 2016-02-03 2016-08-17 包磊 Electrocardio monitoring clothing

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