CN110353663A - A kind of electrocardiosignal acquisition system and method - Google Patents
A kind of electrocardiosignal acquisition system and method Download PDFInfo
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- CN110353663A CN110353663A CN201910619557.6A CN201910619557A CN110353663A CN 110353663 A CN110353663 A CN 110353663A CN 201910619557 A CN201910619557 A CN 201910619557A CN 110353663 A CN110353663 A CN 110353663A
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/30—Input circuits therefor
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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Abstract
The invention discloses a kind of electrocardiosignals to obtain system and method, and it further includes the single order high frequency low-pass filter that input terminal connects with human body, output end is electrically connected with impedance transformer input terminal that it includes processor that wherein electrocardiosignal, which obtains system,；It further include the A-D converter of single order anti-aliasing low-pass filter and Differential Input, the output end of impedance transformer passes sequentially through the anti-aliasing low-pass filter of single order, A-D converter is electrically connected with the input terminal of processor；Over-sampling unit and digital filter unit are equipped in processor；Sampling unit is used to carry out over-sampling to the output signal of A-D converter, and sampled data is sent to digital filtering unit；Digital filtering unit is used to carry out digital filtering to sampled data to handle to obtain electrocardiosignal.The present invention utilizes hardware softening technology, and the electrocardiosignal under available strong noise background is low to the required precision of RC, accurate, small in size, low in energy consumption to the electrocardiosignal that is adaptable, obtaining of use environment.
Description
Technical field
The invention belongs to ecg signal acquiring processing technology field, in particular to a kind of electrocardiosignal obtains system and side
Method.
Background technique
Electrocardiosignal has the characteristics that weak output signal, high resistant, vulnerable to interference, and the intensity of interference signal is generally electrocardiosignal
Tens times or more of intensity, therefore the accurate electrocardiosignal that obtains is the class for having very big challenge under strong background noise interference
Topic.
Traditional electrocardiosignal obtains system structure as shown in Figure 1, it uses single order high frequency low-pass filter 1, impedance to become
Parallel operation 2, blocking high-pass filter 3, casacade multi-amplifier 4(200 ~ 1200 times), multiple-stage filtering and offset carry out signal condition, filter out
Noise jamming carries out bandwidth limitation by high-order frequency overlapped-resistable filter 5, signal is finally sent to A-D converter 6, obtains electrocardio
The data of signal are simultaneously sent to processor 7.Wherein processor 7 returns to zero circuit 8 by baseline and is electrically connected with blocking high-pass filter 3.
Existing electrocardiosignal acquisition methods have the disadvantages that
1, since ECG signal needs the low-frequency component down to 0.05Hz, while needing to remove polarizing voltage, it is necessary to using every
Straight high-pass filter 3 causes RC all must be very big, the small electric leakage of capacitor C is particularly easy to after causing for the frequency of 0.05Hz
Hundred times amplifier saturation is held, at this moment electrocardiograph will be unusable.
2, since there are errors for electronic component, so that the effect of analog filter can have a greatly reduced quality, especially for power frequency
The precision of the bandstop filter of interference, RC directly affects notch position and width, eventually leads to data acquisition accuracy decline.
3, in order to more preferably filter out interference, it is often required that higher order filter, and higher order filter in addition to bring hardware size and
Outside increased costs, to reach the performance of ideal design, the required precision of RC is further increased.
4, accurate analog circuit makes requirement of the product to use environment very high, such as: change in temperature, humidity, it is empty
In the case where gas poor quality, the insulation degree of circuit board will be reduced, the reduction of filter effect is equally brought, so traditional heart
Electrograph mounted circuit board takes the method for spray insulation paint usually to resist the influence of environment, causes the complexity and product of production technology
The stability of quality declines.
5, under normal circumstances, digital device is significantly larger than analog device to the adaptation of interference, and excessive analog device increases
The probability of properties of product deterioration.
Summary of the invention
It is an object of the present invention in view of the above shortcomings of the prior art, a kind of electrocardiosignal is provided and obtains system and side
Method, using hardware softening technology, electrocardiosignal under available strong noise background is low to the required precision of RC, to using ring
The electrocardiosignal that is adaptable, obtaining in border is accurate, small in size, low in energy consumption.
In order to solve the above technical problems, the technical scheme adopted by the invention is that:
A kind of electrocardiosignal acquisition system, including processor, further include the single order high frequency low-pass filtering that input terminal connects with human body
The output end of device, single order high frequency low-pass filter is electrically connected with the input terminal of impedance transformer；Its main feature is that further including that single order is anti-
The A-D converter of aliasing low-pass filter and Differential Input, the output end of impedance transformer pass sequentially through the anti-aliasing low pass of single order
Filter, A-D converter are electrically connected with the input terminal of processor；Over-sampling unit and digital filter unit are equipped in processor；
Sampling unit is used to carry out over-sampling to the output signal of A-D converter, and sampled data is sent to digital filtering unit；
Digital filtering unit is used to carry out sampled data digital filtering processing, and sampled data obtains electrocardio after carrying out digital filtering processing
Signal.
The digital filtering treatment process includes down conversion process, the processing of anti-Hz noise, anti-base as a preferred method,
Line drift processing, anti-myoelectricity drift processing.
The cutoff frequency of the single order high frequency low-pass filter is 15 ~ 50KHz as a preferred method,.
The sample frequency of the sampling unit is the anti-aliasing low-pass filter signal bandwidth of single order as a preferred method,
8 ~ 20 times.
Based on the same inventive concept, the present invention also provides a kind of electrocardiosignal acquisition methods, its main feature is that using institute
The electrocardiosignal stated obtains system, comprising the following steps:
The input terminal of step A, single order high frequency low-pass filter acquire human ecg signal；
Step B, the signal of single order high frequency low-pass filter acquisition remove High-frequency Interference after single order high frequency low-pass filter；
Step C, by single order high frequency low-pass filter, treated that signal send completes impedance transformation to impedance transformer；
Step D, the anti-aliasing low-pass filter of output driving single order of impedance transformer；
The output of step E, the anti-aliasing low-pass filter of single order are sent to the A-D converter of Differential Input；
Step F, sampling unit carries out over-sampling to the output signal of A-D converter, and sampled data is sent to digital filtering
Unit；
Step G, digital filtering unit carry out digital filtering processing to sampled data, and sampled data obtains after carrying out digital filtering processing
To electrocardiosignal.
As a preferred method, in the step G, digital filtering processing include down conversion process, anti-Hz noise processing,
Anti- baseline drift processing, anti-myoelectricity drift processing.
The down conversion process includes: data output frequencies as needed as a preferred method, selects data average
The width of window asks multipoint data average.
The anti-Hz noise processing includes: to be removed in sampled signal using digital trap as a preferred method,
Remaining power frequency component.
The anti-baseline drift processing includes: the heartbeat period identified in sampled signal first as a preferred method,
Remove the ripple components of heartbeat part；Then digital low-pass filtering is carried out, base-line data is obtained；Finally base is subtracted with initial data
Line number evidence.
The anti-myoelectricity drift processing includes: to utilize variable cut-off frequencies low-pass filtering algorithm as a preferred method,
Take out high frequency electromyography signal.
Compared with prior art, the present invention utilizes hardware softening technology, the electrocardiosignal under available strong noise background,
It is low to the required precision of RC, accurate, small in size, low in energy consumption to the electrocardiosignal that is adaptable, obtaining of use environment.
Detailed description of the invention
Fig. 1 is that existing electrocardiosignal obtains system construction drawing.
Fig. 2 is that electrocardiosignal of the present invention obtains one example structure figure of system.
Wherein, 1 is single order high frequency low-pass filter, and 2 be impedance transformer, and 3 be blocking high-pass filter, and 4 put for multistage
Big device, 5 be high-order frequency overlapped-resistable filter, and 6 be A-D converter, and 7 be processor, and 8 return to zero circuit for baseline, and 9 is anti-mixed for single order
Folded low-pass filter.
Specific embodiment
As shown in Fig. 2, it includes processor 7 that electrocardiosignal, which obtains system, it further include the single order height that input terminal connects with human body
The output end of frequency low-pass filter 1, single order high frequency low-pass filter 1 is electrically connected with the input terminal of impedance transformer 2；It further include one
The A-D converter 6 of rank anti-aliasing low-pass filter 9 and Differential Input, it is anti-that the output end of impedance transformer 2 passes sequentially through single order
Aliasing low-pass filter 9, A-D converter 6 are electrically connected with the input terminal of processor 7；Be equipped in processor 7 over-sampling unit and
Digital filtering unit；Sampling unit is used to carry out over-sampling to the output signal of A-D converter 6, and sampled data is sent to
Digital filtering unit；Digital filtering unit is used to carry out sampled data digital filtering processing, and sampled data carries out digital filtering
Electrocardiosignal is obtained after processing.
The digital filtering treatment process includes down conversion process, the processing of anti-Hz noise, anti-baseline drift processing, anti-myoelectricity
Drift processing.
High-frequency Interference, the cutoff frequency of the single order high frequency low-pass filter 1 are removed using RC single order high frequency low-pass filter 1
Rate is 15 ~ 50KHz, and cutoff frequency should be much higher than electrocardiosignal bandwidth, be lower than back-end impedance converter 2 and A-D converter 6
Bandwidth range.The purpose of single order high frequency low-pass filter 1 be filter out human body bring high-frequency signal, such as: radio signal,
Mobile phone signal etc. while filtering out high-frequency interferencing signal, cannot allow electrocardiosignal to have bright single order high frequency low-pass filter 1
Aobvious loss, so cutoff frequency should be much higher than electrocardiosignal, ensure that the effect offseted below, but cutoff frequency
It is limited by rear end amplifier and analog-digital converter bandwidth, the signal component more than bandwidth of a device should not be allowed to enter rear end logical
Road, so selecting cutoff frequency for 15 ~ 50KHz, farther out, selection is simple for the bandwidth due to the cutoff frequency apart from electrocardiosignal
RC low-pass first order filter.
Impedance transformer 2 is completed impedance using the follower that accurate amplifier is constituted and is converted.Major requirement to amplifier is: high
CMMR make by signal utmostly retained to guarantee that common mode offsets effect, low input current guarantees electrocardiogram product
With high input impedance, high PMMR can reduce requirement of the product to power supply.
The output of follower directly drives the anti-aliasing low-pass filter 9 of single order, and resistance R uses 1% precision, and capacitor C is used
10% precision.When electrocardiograph cutoff frequency is set as 150Hz, it is contemplated that the worst error of RC device be 10%, in order to there are
The cutoff frequency of the anti-aliasing low-pass filter 9 of single order is set in 170Hz or so by surplus.
The output of the anti-aliasing low-pass filter 9 of single order is directly sent to the A-D converter 6 of 21 ~ 24bit, Differential Input, with
Enough dynamic ranges and resolving accuracy are reserved, the purpose for selecting Differential Input, which is that sampling is preceding, first completes common mode interference in signal
It offsets.
Sampling unit uses signal bandwidth for the sample frequency of anti-aliasing 98 ~ 20 times of the anti-aliasing bandwidth of low-pass filter of single order
Over-sampling is carried out, for example, by using the frequency sampling signal of 2400Hz, over-sampling is formed, avoids due to the anti-aliasing low-pass filtering of single order
Ingredient more than 9 cutoff frequency of device forms aliasing noise, it may be assumed that the frequency content of the anti-aliasing low-pass filter 9 of single order can be entrained into
A-D converter 6 is sampled, and the use of oversampling technique avoids aliased distortion.
Digital filtering unit in processor 7 completes following digital filtering, further removes noise jamming:
Frequency reducing: data output frequencies as needed select data to be averaged the width of window, and averagely realizing for multipoint data is low
Logical digital filter, to remove high-frequency signal of the band in electrocardiosignal.
Anti- Hz noise: removing remaining power frequency component in electrocardiosignal, which realizes digital trap, 50Hz or
60Hz is program-controlled optional.
Anti- baseline drift: it realizes more complicated high-pass filter, first the heartbeat period in identification electrocardiosignal, removes
The ripple components of heartbeat part；Then digital low-pass filtering is carried out, base-line data is obtained；Finally the baseline is subtracted with initial data
Shifted signal achievees the purpose that remove baseline drift, while retaining the low frequency effective component in electrocardiogram.
Anti- myoelectricity drift: being the low pass filter algorithm of a variable cut-off frequencies, it is therefore an objective to remove high frequency electromyography signal.
In the present invention, it is thus only necessary to RC single order high frequency low-pass filter 1, impedance transformer 2, the anti-aliasing low pass filtered of RC single order
Wave device 9,21 ~ 24bit A-D converter 6, processor 7 and its internal digital filtering algorithm.In the present embodiment, the single order of front end is high
Frequency low-pass filter 1 uses single order RC low-pass filter, and device selects 22K and 220P capacitor, and cutoff frequency is about 30KHz at this time；
Impedance transformer 2 uses OPA4170 precision amplifier, meets the requirement of high CMMR, low input current, high PMMR；Single order is anti-aliasing
Low-pass filter 9 uses single order RC low-pass filter, and device selects 9.1K and 0.1uF capacitor, and cutoff frequency is about 170Hz at this time；
A-D converter 6 selects ADS1258, it is that Differential Input, 24bit, 8 differential paths, sample rate are up to the accurate mould of 125K
Number converter, meet the present invention claims；Processor 7 selects STM32F205RCT6, it is the processor of 32 ARM frameworks, work
Frequency is 60MHz, it completes the functions such as ADS1258 initialization, control, real-time digital filtering algorithm.
The present invention also provides a kind of electrocardiosignal acquisition methods, using the electrocardiosignal acquisition system, including with
Lower step:
The input terminal of step A, single order high frequency low-pass filter 1 acquire human ecg signal；
Step B, for the signal that single order high frequency low-pass filter 1 acquires after single order high frequency low-pass filter 1, removal high frequency is dry
It disturbs；
Step C, by single order high frequency low-pass filter 1, treated that signal send completes impedance transformation to impedance transformer 2；
Step D, the anti-aliasing low-pass filter 9 of the output driving single order of impedance transformer 2；
Step E, the output of the anti-aliasing low-pass filter 9 of single order are sent to the A-D converter 6 of Differential Input；
Step F, sampling unit carries out over-sampling to the output signal of A-D converter 6, and sampled data is sent to digital filter
Wave unit；
Step G, digital filtering unit carry out digital filtering processing to sampled data, and sampled data obtains after carrying out digital filtering processing
To electrocardiosignal.
In the step G, digital filtering processing includes down conversion process, the processing of anti-Hz noise, anti-baseline drift processing, resists
Myoelectricity drift processing.
The down conversion process includes: data output frequencies as needed, selects data to be averaged the width of window, seeks multiple spot
Data are average.
The anti-Hz noise processing includes: to remove remaining power frequency component in sampled signal using digital trap.
The anti-baseline drift processing includes: the heartbeat period identified in sampled signal first, removes the wave of heartbeat part
Dynamic ingredient；Then digital low-pass filtering is carried out, base-line data is obtained；Finally base-line data is subtracted with initial data.
The anti-myoelectricity drift processing includes: to take out high frequency electromyography signal using variable cut-off frequencies low-pass filtering algorithm.
It is compared with the traditional method, after applying the present invention, board area is reduced to 1/4, and power consumption is reduced to 1/2, data essence
Degree, performance indicator increase substantially, and are greatly enhanced to the resilience of adverse circumstances.The present invention has passed through electrocardiogram
Machine type inspection, performance are all satisfied or have been more than the requirement of YY1139-2013 and YY0782-2010 electrocardiograph professional standard.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than limitation, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, within these are all belonged to the scope of protection of the present invention.
Claims (10)
- It further include the single order high frequency low pass that input terminal connects with human body 1. a kind of electrocardiosignal obtains system, including processor (7) The output end of filter (1), single order high frequency low-pass filter (1) is electrically connected with the input terminal of impedance transformer (2)；Its feature exists In further including the A-D converter (6) of the anti-aliasing low-pass filter of single order (9) and Differential Input, the output of impedance transformer (2) End passes sequentially through the anti-aliasing low-pass filter of single order (9), A-D converter (6) is electrically connected with the input terminal of processor (7)；Over-sampling unit and digital filter unit are equipped in processor (7)；Sampling unit is for the output to A-D converter (6) Signal carries out over-sampling, and sampled data is sent to digital filtering unit；Digital filtering unit is used to carry out sampled data Digital filtering processing, sampled data obtain electrocardiosignal after carrying out digital filtering processing.
- 2. electrocardiosignal as described in claim 1 obtains system, which is characterized in that the digital filtering treatment process includes drop Frequency processing, the processing of anti-Hz noise, anti-baseline drift processing, anti-myoelectricity drift processing.
- 3. electrocardiosignal as described in claim 1 obtains system, which is characterized in that the single order high frequency low-pass filter (1) Cutoff frequency be 15 ~ 50KHz.
- 4. electrocardiosignal as described in claim 1 obtains system, which is characterized in that the sample frequency of the sampling unit is one 8 ~ 20 times of the anti-aliasing low-pass filter of rank (9) signal bandwidth.
- 5. a kind of electrocardiosignal acquisition methods, which is characterized in that using such as the described in any item electrocardiosignals of Claims 1-4 Acquisition system, comprising the following steps:The input terminal of step A, single order high frequency low-pass filter (1) acquire human ecg signal；Step B, the signal of single order high frequency low-pass filter (1) acquisition remove high frequency after single order high frequency low-pass filter (1) Interference；Step C, by single order high frequency low-pass filter (1), treated that signal send completes impedance transformation to impedance transformer (2)；Step D, the anti-aliasing low-pass filter of output driving single order (9) of impedance transformer (2)；Step E, the output of the anti-aliasing low-pass filter of single order (9) are sent to the A-D converter of Differential Input (6)；Step F, sampling unit carries out over-sampling to the output signal of A-D converter (6), and sampled data is sent to number Filter unit；Step G, digital filtering unit carry out digital filtering processing to sampled data, and sampled data obtains after carrying out digital filtering processing To electrocardiosignal.
- 6. electrocardiosignal acquisition methods as claimed in claim 5, which is characterized in that in the step G, digital filtering processing packet Include down conversion process, the processing of anti-Hz noise, anti-baseline drift processing, anti-myoelectricity drift processing.
- 7. electrocardiosignal acquisition methods as claimed in claim 6, which is characterized in that the down conversion process includes: as needed Data output frequencies, select data be averaged the width of window, multipoint data asked to be averaged.
- 8. electrocardiosignal acquisition methods as claimed in claim 6, which is characterized in that the anti-Hz noise processing includes: benefit Remove remaining power frequency component in sampled signal with digital trap.
- 9. electrocardiosignal acquisition methods as claimed in claim 6, which is characterized in that the anti-baseline drift processing includes: head It first identifies the heartbeat period in sampled signal, removes the ripple components of heartbeat part；Then digital low-pass filtering is carried out, base is obtained Line number evidence；Finally base-line data is subtracted with initial data.
- 10. electrocardiosignal acquisition methods as claimed in claim 6, which is characterized in that the anti-myoelectricity drift processing includes: benefit High frequency electromyography signal is taken out with variable cut-off frequencies low-pass filtering algorithm.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110066054A1 (en) * | 2009-09-14 | 2011-03-17 | Imec | Method and electronic medical device for simultaneously measuring an impedance and a biopotential signal |
| CN202776292U (en) * | 2012-09-19 | 2013-03-13 | 长沙爱康电子有限公司 | Circuit structure of electrocardiosignal acquisition module |
| CN104248430A (en) * | 2013-06-26 | 2014-12-31 | 李顺裕 | Physiological signal detection wireless monitoring system, analysis end device and detection end device |
| CN104783782A (en) * | 2015-04-13 | 2015-07-22 | 深圳市飞马与星月科技研究有限公司 | Automatic detection method and device for electrocardiosignals |
-
2019
- 2019-07-10 CN CN201910619557.6A patent/CN110353663A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110066054A1 (en) * | 2009-09-14 | 2011-03-17 | Imec | Method and electronic medical device for simultaneously measuring an impedance and a biopotential signal |
| CN202776292U (en) * | 2012-09-19 | 2013-03-13 | 长沙爱康电子有限公司 | Circuit structure of electrocardiosignal acquisition module |
| CN104248430A (en) * | 2013-06-26 | 2014-12-31 | 李顺裕 | Physiological signal detection wireless monitoring system, analysis end device and detection end device |
| CN104783782A (en) * | 2015-04-13 | 2015-07-22 | 深圳市飞马与星月科技研究有限公司 | Automatic detection method and device for electrocardiosignals |
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