CN105997050A - Wearable non-contact electrocardio acquisition device and non-contact electrocardio acquisition method - Google Patents
Wearable non-contact electrocardio acquisition device and non-contact electrocardio acquisition method Download PDFInfo
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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Abstract
The invention provides a wearable non-contact electrocardio acquisition device and a non-contact electrocardio acquisition method. The wearable non-contact electrocardio acquisition device comprises fabric electrodes, non-contact sensor modules, a signal acquisition circuit board, an elastic belt and an intelligent terminal, wherein the elastic belt is bound to the human body, the fabric electrodes and the non-contact sensor modules are arranged on the inner side of the elastic belt and have no contact; the output ends of the fabric electrodes and the non-contact sensor modules are respectively connected with the signal acquisition circuit board, and the signal acquisition circuit board is wirelessly connected with the intelligent terminal. The wearable non-contact electrocardio acquisition device has relatively strong anti-jamming capability, so that a user does not have the discomfort after wearing the wearable non-contact electrocardio acquisition device for a long term; the non-contact sensor modules are adopted, so that the electrocardio measurement can be carried out on the human body through a layer of clothes wrapping the human body, the direct contact with the human skin is not needed, and therefore, the discomfort caused by the contact-type electrocardio sensor to the skin is overcome. With the adoption of the method, the noise jamming in the electrocardiosignals can be effectively removed, the useful information in the signals is kept, and significant reference is provided for the diagnosis on the change of the cardiac function and the cardiac diseases.
Description
Technical field
The invention belongs to cardioelectric monitor technical field, be specifically related to a kind of Wearable noncontact ECG collection device and method.
Background technology
Cardiovascular disease has become as the most universal a kind of disease, and the health of the mankind in serious threat, and along with the raising of people's living standard, health problem starts to be increasingly subject to the attention of people.Electrocardiogram is the important means of detection heart disease, has sudden and randomness heart disease for some, and cardiac electrical real-time monitoring is significant, and this makes portable, wearable electrocardio real-time monitoring device have a great development space.
Electrocardiosignal is a kind of non-stationary small-signal, and amplitude is low, and frequency is low, so during extracting electrocardiosignal, being highly prone to various interference.Wherein main by three kinds of noise jamming, it is baseline drift, Hz noise and High-frequency Interference respectively.
Clothes special for heart rate detection device disclosed in Chinese patent CN200820045499.8, clothes special is provided with the eyelet for fixing described heartbeat detection device, eyelet is positioned at position near clothes special precordial locations or shirtfront, heartbeat detection device elastic cord penetrates, passes on the eyelet of vest, heartbeat detection device is fixed on vest, it is close to user skin, can the detection heart rate signal of accurate stable.But, electrode is long-time and direct body contact can cause sense of discomfort, even has allergic phenomena.
A kind of wireless wearable pectoral girdle based on contactless electrode disclosed in Chinese patent CN201220187164.6, the center sewing reference electrode of inner side, reference electrode be respectively provided on two sides with contactless electrode, electrode is double-sided PCB board, one side is integrated with magnifier, filter circuit, second amplifying circuit and driven-right-leg circuit, another side is the analog digital conversion with single-chip microcomputer as master controller, timing sampling and Bluetooth wireless transmission module, the discomfort that contact EGC sensor is brought can be overcome to skin, can be long-term carry out daily cardioelectric monitor.But, in daily life, the Comparison of Gardening Activities of the upper part of the body is frequent, worn for long periods also can produce sense of discomfort in same position, inevitably involve pectoral girdle, and then involve the sensor being placed in one, easily cause the phenomenons such as electrode delamination, thus introduce noise, disturb stability and the reliability of signal measurement.
A kind of Denoising of ECG Signal based on morphology Yu EMD class wavelet threshold disclosed in Chinese patent CN201410403556.5, the method leaches the baseline drift in electrocardiosignal initially with mathematical morphology filter method, then use EMD method that acquired signals is decomposed, use Threshold denoising that electrocardiosignal is carried out secondary filtering afterwards, finally use EMD method that signal is reconstructed, obtain filtering the electrocardiosignal of noise；Chinese medicine volume 7 the 8th phase paper electrocardiosignal based on wavelet transformation Denoising Algorithm equipment in August, 2010, uses soft, and the different noises in electrocardiosignal are filtered by threshold function table and adaptive threshold strategies that hard-threshold is compromise.But, these algorithms computationally intensive, complexity is high, is difficult on hardware implement, is unfavorable for processing in real time.
Summary of the invention
The problem existed for prior art, the present invention provides a kind of Wearable noncontact ECG collection device and method.
Technical scheme is as follows:
A kind of Wearable noncontact ECG collection device, including:
There is electric action and eliminate the textile electrode of noise jamming；
Gather the noncontacting proximity sensor module of electrocardiosignal；
The electrocardiosignal gathered is carried out signal processing and is wirelessly transmitted to the signal acquisition circuit plate of intelligent terminal；
Bearing fabric electrode, noncontacting proximity sensor module, the elastic webbing of signal acquisition circuit plate；
Show electrocardiosignal in real time and improper electrocardiosignal is fed back to the intelligent terminal of signal acquisition circuit plate；
Elastic webbing bondage is in human body waist or chest, and textile electrode, noncontacting proximity sensor module are arranged at inside elastic webbing, and both do not contact；Textile electrode, the outfan of noncontacting proximity sensor module connect signal acquisition circuit plate, signal acquisition circuit plate and intelligent terminal's wireless connections respectively.
Described signal acquisition circuit plate includes:
The analog acquisition conditioning module of analog-to-digital conversion module is delivered to after the electrocardiosignal gathered is amplified, is filtered；
Power for whole signal acquisition circuit plate and for analog-to-digital conversion module provide reference voltage power management module；
The analog-to-digital conversion module that electrocardiosignal after analog acquisition conditioning module being processed is AD converted；
The signal exporting analog-to-digital conversion module is wirelessly transmitted to the signal processing module of intelligent terminal after carrying out signal processing；
Realize the wireless module of signal processing module and intelligent terminal's wireless connections and data transmission；
The input of analog acquisition conditioning module connects the outfan of noncontacting proximity sensor module；Power management module connects simulation collection modulation module, analog-to-digital conversion module, signal processing module, wireless module respectively；The outfan of analog acquisition conditioning module connects the input of analog-to-digital conversion module, and signal processing module connects analog-to-digital conversion module, wireless module respectively.
Described noncontacting proximity sensor module is welded on a Signals Transfer Board, this Signals Transfer Board is the design of two-layer pcb board, the welding corresponding with the pin of noncontacting proximity sensor module respectively of the pad of this Signals Transfer Board, the pad of synchronous signal keyset additionally one side is wired to the analog acquisition conditioning module of signal acquisition circuit plate.
Described analog acquisition conditioning module includes: preamplifier, passive first order high pass filter, active second-order low-pass filter and driven-right-leg circuit；
The input of preamplifier connects the outfan of noncontacting proximity sensor module, the input of the outfan connected with passive single order high pass filter of preamplifier, the outfan of passive first order high pass filter connects the input of active second-order low-pass filter, the outfan of active second-order low-pass filter connects the input of analog-to-digital conversion module, and driven-right-leg circuit is connected with preamplifier, textile electrode respectively.
The method that Wearable noncontact ECG collection device described in utilization carries out noncontact electrocardiogram acquisition, including:
Real-time Collection electrocardiosignal, eliminates noise jamming simultaneously；
The electrocardiosignal of Real-time Collection is amplified, filters and AD conversion；
Electrocardiosignal after AD conversion is carried out electrocardiosignal Quality estimation: if electrocardiosignal amplitude varies more than setting threshold value, then electrocardiosignal is the insincere signal of low quality, otherwise judge baseline drift degree: if baseline drift degree is not less than setting threshold value, then electrocardiosignal is high-quality trusted signal, and otherwise electrocardiosignal is the insincere signal of low quality；
High-quality trusted signal is removed baseline drift, removes 50Hz Hz noise, remove High-frequency Interference；
Remove invalid electrocardiosignal, the electrocardiosignal after being processed, be wirelessly transmitted to intelligent terminal.
Described electrocardiosignal after AD conversion being carried out electrocardiosignal Quality estimation, method is as follows:
Electrocardiosignal after AD conversion is carried out windowing process；
Judging whether electrocardiosignal amplitude intensity of variation exceedes setting threshold value: if exceeding setting threshold value, then electrocardiosignal is the insincere signal of low quality, abandoning this electrocardiosignal, otherwise, extracting baseline drift signal；
Extract baseline drift signal: use the method for medium filtering and curve matching to obtain baseline drift signal；
Judging baseline drift degree: judge whether the baseline drift degree of baseline drift signal exceedes setting threshold value: if exceeding setting threshold value, then abandon current electrocardiosignal, otherwise, current electrocardiosignal quality is high-quality trusted signal.
The method of described removal baseline drift is as follows:
Use median filter method that more than the ECG's data compression of setting value, baseline drift degree is obtained baseline drift signal, use curve-fitting method that less than the ECG's data compression of setting value, baseline drift degree is obtained baseline drift signal；
After the baseline drift signal deducted by former electrocardiosignal, obtain removing the electrocardiosignal of the correction of baseline drift.
The method of described removal 50Hz Hz noise is as follows:
The electrocardiosignal selecting the correction to removing baseline drift of the db8 wavelet basis function is decomposed；
Wavelet coefficient is carried out Fourier decomposition；
Finding the wavelet coefficient of frequency corresponding to 50Hz Hz noise, and zero setting, other frequency wavelet coefficients keep constant；
According to current each wavelet coefficient reconstruct electrocardiosignal, the electrocardiosignal of the 50Hz Hz noise that is i.e. removed.
The method of described removal High-frequency Interference is as follows:
Select db8 wavelet basis function, the electrocardiosignal removing 50Hz Hz noise is done wavelet decomposition transform；
Wavelet coefficient does threshold value process；
Wavelet coefficient after thresholding threshold process is done wavelet inverse transformation, reconstructs electrocardiosignal, i.e. obtain removing the electrocardiosignal of High-frequency Interference.
The method of the invalid electrocardiosignal of described removal is as follows:
Judge whether the electrocardiosignal removing High-frequency Interference has the most whether QRS wave shape form is effective electrocardiosignal by QRS detection function；
Remove the signal without QRS wave shape morphological characteristic in electrocardiosignal；
Effective electro-cardiologic signal waveforms of the signal equal length intercepted and do not have QRS wave shape morphological characteristic substitutes removed invalid electrocardiosignal.
Beneficial effect:
1, the present invention use measure human body electricity physiological signal based on capacity coupled noncontacting proximity sensor module, this sensor degree of accuracy is high, good stability, across one layer of clothes, human body can be carried out electrocardio measurement, not with the direct skin contact of people, overcome the discomfort that contact EGC sensor is brought to skin, needed the user carrying out cardioelectric monitor for a long time to bring great convenience with comfortable.
2, ECG collection device is fixed on an elastic webbing by apparatus of the present invention, requirement according to different crowd, this device can be worn on waist, chest, the form of belt can also be made, to adapt to the everyday general purpose custom of people, and owing to this device has certain elasticity, it is not easy to come off, well can combine with user, there is stronger capacity of resisting disturbance, user is worn for a long time and also will not be produced sense of discomfort, and wearing comfort height, dress facilitate, have relatively strong anti-interference ability, can long-time stable measure.
3, the present invention uses wireless module to be connected with intelligent terminal, real-time communication can be carried out with intelligent terminal, and data transmission is carried out the most in real time with Treatment Analysis, thus the electrocardio of user is carried out real-time monitoring, and when electrocardiosignal occurs abnormal, voice module can be reminded, and this is very easy to some and has sudden and randomness heart disease user, finds that the state of an illness provides possible for the very first time.
4, the present invention makes full use of single-chip simulation MUX and AD Sampling hold function, synchronous acquisition electrocardiosignal, and synchronous acquisition node sample data are transferred to intelligent terminal by serial ports via wireless module, the instruction such as intelligent terminal " start sampling ", " park mode " can be accepted control, and give intelligent terminal's respective feedback to return mode of operation etc..
5, the present invention is simple to operate, multiple functional, stability is high, only reserves conducting wire and noncontacting proximity sensor after encapsulation, and service software interactivity is good, whole easy and simple to handle, and can meet the monitoring under moving situation.
6, the inventive method is prone on hardware realize, it is possible to effectively removes the noise jamming in electrocardiosignal, the useful information in stick signal, provides more significant reference for the change of cardiac function and the diagnosis of heart disease.
Accompanying drawing explanation
Fig. 1 is that the Wearable noncontact ECG collection device of the specific embodiment of the invention uses view；
Fig. 2 is the inner side tile arrangement schematic diagram of the present invention；
Fig. 3 is that the human body of the present invention wears schematic diagram；
Fig. 4 is sensor of the invention Signals Transfer Board PCB encapsulation figure, (a) Top Layer(b) Bottom Layer；
Fig. 5 is the Wearable noncontact ECG collection device connection diagram of the specific embodiment of the invention；
Fig. 6 is the specific embodiment of the invention+5V voltage conversion circuit schematic diagram；
Fig. 7 is the specific embodiment of the invention-5V voltage conversion circuit schematic diagram；
Fig. 8 is the specific embodiment of the invention+3.3V voltage conversion circuit schematic diagram；
Fig. 9 is the 2.5V reference voltage generating circuit schematic diagram of the specific embodiment of the invention；
Figure 10 is preamplifier and the driven-right-leg circuit catenation principle figure of the specific embodiment of the invention；
Figure 11 is the passive first order high pass filter of the specific embodiment of the invention and active second-order low-pass filter catenation principle figure；
Figure 12 is the analog-to-digital conversion module catenation principle figure of the specific embodiment of the invention；
Figure 13 is the method flow diagram of the noncontact electrocardiogram acquisition of the specific embodiment of the invention；
Figure 14 is the electrocardiosignal Quality estimation flow chart of the specific embodiment of the invention；
Figure 15 is the change of electrocardiosignal amplitude and the setting threshold curve figure of the specific embodiment of the invention；
Figure 16 is baseline drift degree and the setting threshold curve figure of the specific embodiment of the invention；
Figure 17 is the removal baseline drift flow chart of the specific embodiment of the invention；
Figure 18 is the electrocardiosignal before the removal baseline drift of the specific embodiment of the invention；
Figure 19 is the electrocardiosignal after the removal baseline drift of the specific embodiment of the invention；
Figure 20 is the removal 50Hz Hz noise flow chart of the specific embodiment of the invention；
Figure 21 is the electrocardiosignal of the removing 50Hz Hz noise of the specific embodiment of the invention；
Figure 22 is the removal High-frequency Interference flow chart of the specific embodiment of the invention；
Figure 23 is the electrocardiosignal of the removal High-frequency Interference of the specific embodiment of the invention；
Figure 24 is the removal invalid electrocardiosignal flow chart of the specific embodiment of the invention；
Figure 25 is the electrocardiosignal removing invalid signals of the specific embodiment of the invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is elaborated.
A kind of Wearable noncontact ECG collection device, as it is shown in figure 5, include:
There is electric action and eliminate the textile electrode of noise jamming；Textile electrode is a kind of flexible dry electrode, be use textile material through textile process process exploitation have textile structural, can perception people's body surface and the sensor of bioelectrical signals.Textile electrode sews in the inner side of elastic webbing, this textile electrode uses hollow out design, hollow out position is in the middle of textile electrode, noncontacting proximity sensor module described in the placement of this middle part, textile electrode does not contacts with noncontacting proximity sensor, and textile electrode is connected to driven-right-leg circuit as reference electrode.
Gather the noncontacting proximity sensor module of electrocardiosignal, use PS25201B type sensor, the direct and contact with clothing of user during use；
Noncontacting proximity sensor inside modules carries voltage amplification, and the supply voltage of noncontacting proximity sensor module is ± 2.4 ~ ± 5V, and noncontacting proximity sensor module chip has four pins, pin is defined as follows: PIN1:OUTPUT, PIN2:GND, PIN3:VDD(+), PIN4:VSS(-).Noncontacting proximity sensor module is welded on a Signals Transfer Board as shown in Figure 4, and this Signals Transfer Board is the design of two-layer PCB circular slab, i.e. Bottom Layer shown in Top Layer and Fig. 4 (b) shown in Fig. 4 (a)；The pad 5,6,7,8 of this Signals Transfer Board respectively with PIN1:OUTPUT, PIN2:GND, PIN3:VDD(+ of noncontacting proximity sensor), PIN4:VSS(-) the corresponding welding of pin, pad another side 5,6,7,8 pin is wired to the analog acquisition conditioning module of signal acquisition circuit plate simultaneously, and the circular hole 9 on Signals Transfer Board is used for sewing on elastic webbing Signals Transfer Board.Two noncontacting proximity sensor modules are regarded cardiac electrical two electrode slices as and are used, two noncontacting proximity sensor modules are in close contact with medicated clothing respectively, their output is carried out differential amplification, and introduce the common mode disturbances of right leg drive reduction system, right leg drive textile electrode is also required to be in close contact with medicated clothing, to reach to reduce the effect of noise.
The electrocardiosignal gathered is carried out signal processing and is wirelessly transmitted to the signal acquisition circuit plate of intelligent terminal；Signal acquisition circuit plate is provided 6V ~ 16V voltage by lithium battery.
Bearing fabric electrode, noncontacting proximity sensor module, the elastic webbing of signal acquisition circuit plate；
Show electrocardiosignal in real time and improper electrocardiosignal is fed back to the intelligent terminal of signal acquisition circuit plate, intelligent terminal is upper can install cardioelectric monitor software so that it is has beginning, stops cardioelectric monitor, feedback electrocardiosignal and store the function of electrocardiogram (ECG) data；
As shown in Figure 1 and 2, elastic webbing 2 bondage is in the waist of human body or chest, and 1, two noncontacting proximity sensor modules 3 of two textile electrodes are arranged at inside elastic webbing 2, and both do not contact；Textile electrode 1, the outfan of noncontacting proximity sensor module 3 connect signal acquisition circuit plate, signal acquisition circuit plate and intelligent terminal's wireless connections respectively.The two ends of elastic webbing 2 are provided with VELCRO 4, and elastic webbing 2 external latasuture is shaped with placement signal acquisition circuit plate and the pocket of lithium battery.
Signal acquisition circuit plate includes:
The analog acquisition conditioning module of analog-to-digital conversion module is delivered to after the electrocardiosignal gathered is amplified, is filtered；
Power for whole signal acquisition circuit plate and for analog-to-digital conversion module provide reference voltage power management module；± 5V, 3.3V, 2.5V and 1.2V voltage can be provided, such as noncontacting proximity sensor module and analog acquisition conditioning module offer ± 5V supply voltage, there is provided 3.3V, 5V supply voltage and 2.5V or 1.2V reference voltage for analog-to-digital conversion module, provide 3.3V voltage for control module and wireless module.
The analog-to-digital conversion module that electrocardiosignal after analog acquisition conditioning module being processed is AD converted；Analog-to-digital conversion module can use 12,16,24 A/D chip, such as uses 24 AD S1256 chips, and as shown in figure 12, wherein 8 foot AIN2 are the input of ECG simulator signal.The ADS1256 that present embodiment uses be TI company release Micro Energy Lose, in high precision, 24 analog-digital converters of 8 passage, this device inside is integrated with input analog multichannel switch, input buffer, programmable gain amplifier and programmable digital-filter.In present embodiment, ADS1256 uses SSOP-28 encapsulation, its main feature is as follows: 24 bit resolutions, data sampling rate is up to 30ksps, can be configured to 8 road one pole input or the differential inputs in 4 tunnels, spi bus communication etc., figure below is the circuit connection diagram of ADS1256, here VREFP-VREFN=2.5V, i.e. REF1V2=2.5V.May be used without the reference source (reference source is followed by follower, and for the part in TLV2252, TLV2252 may be used without the higher OPA2333 of precision) of 1.2V.Crystal oscillator uses 8M；Chip pin therein 15,20,21,22,23,24 is connected with single-chip microcomputer, for SPI communication and the control of chip.
Control voice module work, drive the analog-to-digital conversion module control module with wireless module；Low-power consumption, fast operation, single-chip microcomputer that disposal ability is strong, such as MSP430 single-chip microcomputer, STM32 single-chip microcomputer etc. can be used.
Realize the wireless module of control module and intelligent terminal's wireless connections and data transmission, bluetooth can be used, WiFi or ZigBee, main data of being responsible for are transmitted, such as use bluetooth module, bluetooth is signal acquisition circuit plate and intelligent terminal's communication equipment, bluetooth used is bluetooth serial ports module, bluetooth module is operated in slave mode, need before using to use AT order that bluetooth module is carried out corresponding configuration, the baud rate that part is bluetooth module of main configuration, bluetooth module supply voltage is 3.3V, before being welded on signal acquisition circuit plate, first the baud rate of bluetooth module is configured to 38400, corresponding AT instruction is: AT+BAUD6, AT+NAME order can also be used bluetooth module more changed name.
The abnormal electrocardiosignal feeding back intelligent terminal carries out the voice module of voice message；
The input of analog acquisition conditioning module connects the outfan of noncontacting proximity sensor module；Power management module connects simulation collection modulation module, analog-to-digital conversion module, control module, wireless module respectively；The outfan of analog acquisition conditioning module connects the input of analog-to-digital conversion module；Control module connects analog-to-digital conversion module, wireless module respectively, and voice module is connected with power management module, control module respectively.
Power management module includes:
+ 5V the voltage conversion circuit of+5V voltage is provided for noncontacting proximity sensor, as shown in Figure 6, uses linear voltage regulator；
-5V the voltage conversion circuit of-5V voltage is provided, as it is shown in fig. 7, use 7660 electric charge conversion chips for analog-to-digital conversion module；
+ 3.3V the voltage conversion circuit of 3.3V voltage is provided for analog-to-digital conversion module, control module and wireless module, as shown in Figure 8, uses linear voltage regulator；
Analog-to-digital conversion module provides the reference voltage generating circuit of 2.5V or 1.2V reference voltage, and 2.5V reference voltage generating circuit is as shown in Figure 9；
The input of+5V voltage conversion circuit connects lithium battery, the outfan of+5V voltage conversion circuit connects the input of-5V voltage conversion circuit, the outfan of+5V voltage conversion circuit connects the input of+3.3V voltage conversion circuit, and the outfan of+5V voltage conversion circuit connects reference voltage 2.5V and the input of circuit occurs.
Analog acquisition conditioning module includes: amplification is the passive first order high pass filter of preamplifier AD632,0.1Hz of 1.5 times, the active second-order low-pass filter of 35Hz and driven-right-leg circuit；
Preamplifier is connected as shown in Figure 10 with driven-right-leg circuit, and passive first order high pass filter is connected as shown in figure 11 with active second-order low-pass filter, including reference source follower.
The input of preamplifier connects the outfan of noncontacting proximity sensor module, the input of the outfan connected with passive single order high pass filter of preamplifier, the outfan of passive first order high pass filter connects the input of active second-order low-pass filter, the outfan of active second-order low-pass filter connects the input of analog-to-digital conversion module, and driven-right-leg circuit is connected with preamplifier, textile electrode respectively.Preamplifier use amplification be 1.5 times, afterwards signal by the passive first order high pass filter of 0.1Hz, 35Hz active second-order low-pass filter after entrance A/D chip be AD converted.Driven-right-leg circuit is the negative feedback utilizing sign-changing amplifier to realize instrument amplifier two input common-mode signal, the input of sign-changing amplifier extracts the common-mode signal between instrument amplifier gain resistance, and the outfan of inverting amplifier is connected with reference electrode i.e. textile electrode.
As shown in Figure 3, user to put on a relatively thin medicated clothing when using apparatus of the present invention, material preferably cotton textiles, then elastic webbing 2 is placed, the VELCRO 4 at elastic webbing 2 two ends is buckled, opening signal collecting circuit board power supply, open intelligent terminal simultaneously, carry out without lines matching, connect, click starts detection, noncontacting proximity sensor module 3 will carry out capacitive coupling through clothes and people's skin of lumbar region, thus record electrocardiosignal, the electrocardiosignal recorded can be transferred to intelligent terminal by wireless module and show in real time, and voice module can carry out voice broadcast to abnormal electrocardiosignal.
It is capable of being wirelessly transferred and intelligent terminal for reception, display and sound prompt function.
The work process of this device is: device is fixed on the upper part of the body position of user across clothes, such as waist or breast portion, after turning on the power, noncontacting proximity sensor module starts to gather the electrocardiosignal of user, then the electrocardiosignal collected is delivered to signal acquisition circuit plate and carry out data process, it is integrated in the wireless module on signal acquisition circuit plate the data after processing to be sent to intelligent terminal's (such as mobile phone) and shown simultaneously, the improper electrocardiosignal collected can be fed back on signal acquisition circuit plate by intelligent terminal simultaneously, if the electrocardiosignal recorded occurs abnormal, voice module can carry out voice message, reach the purpose of monitoring real-time to electrocardiosignal.Described intelligent terminal is provided with cardioelectric monitor software, has beginning, stops cardioelectric monitor, feedback electrocardiosignal and store the function of electrocardiogram (ECG) data.
Utilize the method that Wearable noncontact ECG collection device carries out noncontact electrocardiogram acquisition, as shown in figure 13, including:
Step 1, Real-time Collection electrocardiosignal, eliminate noise jamming simultaneously；
Step 2, electrocardiosignal to Real-time Collection are amplified, filter and AD conversion；
Step 3, the electrocardiosignal after AD conversion is carried out electrocardiosignal Quality estimation: if electrocardiosignal amplitude varies more than setting threshold value, then electrocardiosignal is the insincere signal of low quality, otherwise judge baseline drift degree: if baseline drift degree is not less than setting threshold value, then electrocardiosignal is high-quality trusted signal, and otherwise electrocardiosignal is the insincere signal of low quality；
Electrocardiosignal after AD conversion carries out electrocardiosignal Quality estimation, and as shown in figure 14, method is as follows:
Step 3-1, the electrocardiosignal after AD conversion is carried out windowing process；
Step 3-2, judging whether electrocardiosignal amplitude intensity of variation exceedes setting threshold value: if exceeding setting threshold value, then electrocardiosignal is the insincere signal of low quality, abandoning this electrocardiosignal, otherwise, extracting baseline drift signal；As shown in figure 15 for the change of electrocardiosignal amplitude and setting threshold curve figure, grey parts is to be labeled as the insincere signal of low quality, and in figure, the curve of bottom is the threshold curve set.
Step 3-3, extraction baseline drift signal: use the method for medium filtering and curve matching to obtain baseline drift signal；
Step 3-4, judge baseline drift degree: judging whether the baseline drift degree of baseline drift signal exceedes setting threshold value: if exceeding setting threshold value, then abandon current electrocardiosignal, otherwise, current electrocardiosignal quality is high-quality trusted signal.As shown in figure 16 for baseline drift degree and setting threshold curve figure, grey parts is to be labeled as the insincere signal of low quality, and in figure, the curve of bottom is the threshold curve set.
Step 4, high-quality trusted signal is removed baseline drift, remove 50Hz Hz noise, remove High-frequency Interference；
(1) method removing baseline drift is as follows:
As shown in figure 17, use median filter method that more than the ECG's data compression of setting value (baseline drift signal > 0.2mv), baseline drift degree is obtained baseline drift signal, use curve-fitting method that less than the ECG's data compression of setting value (baseline drift signal≤0.2mv), baseline drift degree is obtained baseline drift signal；
After deducting baseline drift signal by former electrocardiosignal, obtain removing the electrocardiosignal of the correction of baseline drift.
Median filter method is used for processing the more ecg wave form of baseline drift, and curve matching is used for processing the waveform that baseline drift is smaller.The wherein principle of medium filtering: be to take one section of ecg signal data (N takes odd number) of a length of N before certain some electrocardiosignal, this section of ecg signal data be ranked up, then take the value of middle as this point data.Whole section of electrocardiosignal is all carried out processed as above, extracts the drift components in electrocardiosignal, finally original electro-cardiologic signals is deducted this drift components, effect after just being filtered.The principle of curve matching is to ask matched curve parametric configuration matched curve, then deducts the signal after this matched curve can be obtained by baseline adjustment with original electro-cardiologic signals.In present embodiment, remove the electrocardiosignal before baseline drift as shown in figure 18, remove the electrocardiosignal after baseline drift as shown in figure 19.
(2) method removing 50Hz Hz noise, as shown in figure 20, specific as follows:
The electrocardiosignal selecting the correction to removing baseline drift of the db8 wavelet basis function is decomposed；
Wavelet coefficient is carried out Fourier decomposition；
Finding the wavelet coefficient of frequency corresponding to 50Hz Hz noise, and zero setting, other frequency wavelet coefficients keep constant；
According to current each wavelet coefficient reconstruct electrocardiosignal, the electrocardiosignal of the 50Hz Hz noise that is i.e. removed, as shown in figure 21.
(3) method removing High-frequency Interference, as shown in figure 22, specific as follows:
Select db8 wavelet basis function, the electrocardiosignal removing 50Hz Hz noise is done wavelet decomposition transform；
Wavelet coefficient does threshold value process；When wavelet coefficient is less than threshold value, it not simply to be set to zero, but be smoothly kept to zero, but during more than threshold value, wavelet coefficient amplitude all deducts threshold value, so, both ensure that big wavelet coefficient, in turn ensure that seamlessly transitting of coefficient after adding threshold value；
Wavelet coefficient after thresholding threshold process is done wavelet inverse transformation, reconstructs electrocardiosignal, i.e. obtain removing the electrocardiosignal of High-frequency Interference, as shown in figure 23.
Step 5, remove invalid electrocardiosignal, the electrocardiosignal (as shown in figure 25) after being processed, it is wirelessly transmitted to intelligent terminal.
As shown in figure 24, the method removing invalid electrocardiosignal is as follows:
Step 5-1, by QRS detection function judge remove High-frequency Interference electrocardiosignal whether have the most whether QRS wave shape form is effective electrocardiosignal；
Step 5-2, the signal without QRS wave shape morphological characteristic removed in electrocardiosignal；
Step 5-3, effective electro-cardiologic signal waveforms of the signal equal length intercepting and not having QRS wave shape morphological characteristic substitute removed invalid electrocardiosignal.
Claims (10)
1. a Wearable noncontact ECG collection device, it is characterised in that including:
There is electric action and eliminate the textile electrode of noise jamming；
Gather the noncontacting proximity sensor module of electrocardiosignal；
The electrocardiosignal gathered is carried out signal processing and is wirelessly transmitted to the signal acquisition circuit plate of intelligent terminal；
Bearing fabric electrode, noncontacting proximity sensor module, the elastic webbing of signal acquisition circuit plate；
Show electrocardiosignal in real time and improper electrocardiosignal is fed back to the intelligent terminal of signal acquisition circuit plate；
Elastic webbing bondage is in human body waist or chest, and textile electrode, noncontacting proximity sensor module are arranged at inside elastic webbing, and both do not contact；Textile electrode, the outfan of noncontacting proximity sensor module connect signal acquisition circuit plate, signal acquisition circuit plate and intelligent terminal's wireless connections respectively.
Wearable noncontact ECG collection device the most according to claim 1, it is characterised in that described signal acquisition circuit plate includes:
The analog acquisition conditioning module of analog-to-digital conversion module is delivered to after the electrocardiosignal gathered is amplified, is filtered；
Power for whole signal acquisition circuit plate and for analog-to-digital conversion module provide reference voltage power management module；
The analog-to-digital conversion module that electrocardiosignal after analog acquisition conditioning module being processed is AD converted；
The signal exporting analog-to-digital conversion module is wirelessly transmitted to the signal processing module of intelligent terminal after carrying out signal processing；
Realize the wireless module of signal processing module and intelligent terminal's wireless connections and data transmission；
The input of analog acquisition conditioning module connects the outfan of noncontacting proximity sensor module；Power management module connects simulation collection modulation module, analog-to-digital conversion module, signal processing module, wireless module respectively；The outfan of analog acquisition conditioning module connects the input of analog-to-digital conversion module, and signal processing module connects analog-to-digital conversion module, wireless module respectively.
Wearable noncontact ECG collection device the most according to claim 2, it is characterized in that: described noncontacting proximity sensor module is welded on a Signals Transfer Board, this Signals Transfer Board is the design of two-layer pcb board, the welding corresponding with the pin of noncontacting proximity sensor module respectively of the pad of this Signals Transfer Board, the pad of synchronous signal keyset additionally one side is wired to the analog acquisition conditioning module of signal acquisition circuit plate.
Wearable noncontact ECG collection device the most according to claim 2, it is characterised in that: described analog acquisition conditioning module includes: preamplifier, passive first order high pass filter, active second-order low-pass filter and driven-right-leg circuit；
The input of preamplifier connects the outfan of noncontacting proximity sensor module, the input of the outfan connected with passive single order high pass filter of preamplifier, the outfan of passive first order high pass filter connects the input of active second-order low-pass filter, the outfan of active second-order low-pass filter connects the input of analog-to-digital conversion module, and driven-right-leg circuit is connected with preamplifier, textile electrode respectively.
5. utilize the method that the Wearable noncontact ECG collection device described in claim 2 carries out noncontact electrocardiogram acquisition, it is characterised in that including:
Real-time Collection electrocardiosignal, eliminates noise jamming simultaneously；
The electrocardiosignal of Real-time Collection is amplified, filters and AD conversion；
Electrocardiosignal after AD conversion is carried out electrocardiosignal Quality estimation: if electrocardiosignal amplitude varies more than setting threshold value, then electrocardiosignal is the insincere signal of low quality, otherwise judge baseline drift degree: if baseline drift degree is not less than setting threshold value, then electrocardiosignal is high-quality trusted signal, and otherwise electrocardiosignal is the insincere signal of low quality；
High-quality trusted signal is removed baseline drift, removes 50Hz Hz noise, remove High-frequency Interference；
Remove invalid electrocardiosignal, the electrocardiosignal after being processed, be wirelessly transmitted to intelligent terminal.
The method of noncontact electrocardiogram acquisition the most according to claim 5, it is characterised in that described electrocardiosignal after AD conversion is carried out electrocardiosignal Quality estimation, method is as follows:
Electrocardiosignal after AD conversion is carried out windowing process；
Judging whether electrocardiosignal amplitude intensity of variation exceedes setting threshold value: if exceeding setting threshold value, then electrocardiosignal is the insincere signal of low quality, abandoning this electrocardiosignal, otherwise, extracting baseline drift signal；
Extract baseline drift signal: use the method for medium filtering and curve matching to obtain baseline drift signal；
Judging baseline drift degree: judge whether the baseline drift degree of baseline drift signal exceedes setting threshold value: if exceeding setting threshold value, then abandon current electrocardiosignal, otherwise, current electrocardiosignal quality is high-quality trusted signal.
The method of noncontact electrocardiogram acquisition the most according to claim 5, it is characterised in that the method for described removal baseline drift is as follows:
Use median filter method that more than the ECG's data compression of setting value, baseline drift degree is obtained baseline drift signal, use curve-fitting method that less than the ECG's data compression of setting value, baseline drift degree is obtained baseline drift signal；
After the baseline drift signal deducted by former electrocardiosignal, obtain removing the electrocardiosignal of the correction of baseline drift.
The method of noncontact electrocardiogram acquisition the most according to claim 5, it is characterised in that the method for described removal 50Hz Hz noise is as follows:
The electrocardiosignal selecting the correction to removing baseline drift of the db8 wavelet basis function is decomposed；
Wavelet coefficient is carried out Fourier decomposition；
Finding the wavelet coefficient of frequency corresponding to 50Hz Hz noise, and zero setting, other frequency wavelet coefficients keep constant；
According to current each wavelet coefficient reconstruct electrocardiosignal, the electrocardiosignal of the 50Hz Hz noise that is i.e. removed.
The method of noncontact electrocardiogram acquisition the most according to claim 5, it is characterised in that the method for described removal High-frequency Interference is as follows:
Select db8 wavelet basis function, the electrocardiosignal removing 50Hz Hz noise is done wavelet decomposition transform；
Wavelet coefficient does threshold value process；
Wavelet coefficient after thresholding threshold process is done wavelet inverse transformation, reconstructs electrocardiosignal, i.e. obtain removing the electrocardiosignal of High-frequency Interference.
The method of noncontact electrocardiogram acquisition the most according to claim 5, it is characterised in that the method for the invalid electrocardiosignal of described removal is as follows:
Judge whether the electrocardiosignal removing High-frequency Interference has the most whether QRS wave shape form is effective electrocardiosignal by QRS detection function；
Remove the signal without QRS wave shape morphological characteristic in electrocardiosignal；
Effective electro-cardiologic signal waveforms of the signal equal length intercepted and do not have QRS wave shape morphological characteristic substitutes removed invalid electrocardiosignal.
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