CN108030491A - Noise inhibiting wave filter network applied to intelligent ECG detection - Google Patents

Noise inhibiting wave filter network applied to intelligent ECG detection Download PDF

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Publication number
CN108030491A
CN108030491A CN201810004086.3A CN201810004086A CN108030491A CN 108030491 A CN108030491 A CN 108030491A CN 201810004086 A CN201810004086 A CN 201810004086A CN 108030491 A CN108030491 A CN 108030491A
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filter module
ecg
resistance
filter
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CN108030491B (en
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王桂林
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Hangzhou Xin Kang Technology Co Ltd
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Hangzhou Xin Kang 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
    • A61B5/72Signal 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
    • A61B5/7235Details of waveform analysis
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/40Arrangements for reducing harmonics

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  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Cardiology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The present invention relates to a kind of wave filter, more particularly to a kind of noise inhibiting wave filter network applied to intelligent ECG detection, including:Noise detection module, the first filter module, the second filter module, the 3rd filter module, simulation ground and digitally isolator, analog power and digital power isolator and ECG module, the noise detection module connects ECG module, the input terminal of first filter module connects left hand and the right hand respectively, its output terminal connects ECG module by the second filter module, the input terminal connection of 3rd filter module inputs the left finesse of one end, its output terminal connection ECG module close to the first filter module.The beneficial effects of the invention are as follows:Without doing software filtering by being wirelessly transmitted to mobile phone, it can inherently be judged in Intelligent hardware with cardiac electrical heart murmur, sinus rate etc., reach Real-time Feedback, the effect monitored in real time, the routine health monitoring of the elderly is more suitable for, significantly reduces the power problems that wirelessly transmitting data is brought.

Description

Noise inhibiting wave filter network applied to intelligent ECG detection
Technical field
The present invention relates to a kind of wave filter, more particularly to a kind of noise inhibiting wave filter net applied to intelligent ECG detection Network.
Background technology
Since electrocardiosignal (ECG) signal has faint property:0.05-0.5mV;Unstability;Low frequency characteristic, highest are effective Frequency is in 100Hz or so;Randomness and regularity, therefore electrocardio is being done to people with conventional double leads, three leads or multi-lead In signal (ECG) measurement process, easily disturbed by power frequency, radio frequency etc., in addition polarization electricity also caused by electrode and skin contact The change of kinetic potential and electrode resistance itself and the change of electrode potential, make waveform power frequency component, baseline drift and other height occur Frequency disturbs, these noises being mingled with are past to make waveform recognition and parameter measurement become impossible, or even can not record.Particularly Big High-frequency Interference and baseline drift, bring the saturation of hardware primary amplifier, adopt the data of mistake, the measurement of ECG can not be real It is existing.
Common elimination or reduction, the method for such interference is typically software filtering, for example eliminates 50Hz or 60Hz power frequencies Interference, uses notch filter;Eliminate baseline drift and use median filter, high-pass filter and integral coefficient filter;Eliminate High-frequency Interference uses the low-pass filter of 150Hz, and all the method needs very high operational capability, for the more demanding of hardware, In wearable device, power consumption, volume and cost are all unacceptable.
Data are uploaded to mobile phone by the way in wearable Intelligent hardware at present, allow mobile phone to use above-mentioned software Filtering method, to handle such data, but has following three:
1. still suffer from our above-mentioned big High-frequency Interferences and hardware amplifier saturation that baseline drift is brought is asked Topic,
2. wearable device wants continuous and handset data communication, it will certainly greatly reduce the stand-by time of wearable device, Reduce user experience,
3. limit target customer.The elderly for that will not use mobile phone, is a very big challenge.But they are most to need Want the routine diagnosis of healthy class Intelligent hardware.
The content of the invention
The shortcomings that for such scheme, the present invention propose a kind of hardware filtering network, can effectively suppress above-mentioned Noise source.
The technical scheme is that:A kind of noise inhibiting wave filter network applied to intelligent ECG detection, including:Noise Detection module, the first filter module, the second filter module, the 3rd filter module, simulation ground and digitally isolator, analog power With digital power isolator and ECG module, the noise detection module connects ECG module, first filter module Input terminal connects left hand and the right hand respectively, its output terminal connects ECG module, the 3rd filtering mould by the second filter module The input terminal connection of block inputs the left finesse of one end, its output terminal connection ECG module close to the first filter module;First filtering Module, simulation ground and the digitally combination of isolator, analog power and digital power isolator, for filtering out in measuring environment High-frequency Interference;Second filter module, simulation ground and the digitally combination of isolator, analog power and digital power isolator, are used In low frequency signals such as suppression baseline drifts;3rd filter module, simulate ground and digitally isolator, analog power and digital power The combination of isolator is used for the common mode interference for suppressing the right leg from body.
Preferably, first filter module uses low-pass filter, including:Resistance R1, R2, capacitance C1, C2, the electricity One end connection left arm of R1 is hindered, the other end connects capacitance C1 and the second filter module respectively, and the other end of the capacitance C1 connects Simulation ground, one end connection right arm of the resistance R2 are connect, the other end connects capacitance C2 and the second filter module, the electricity respectively Hold the other end connection simulation ground of C2.
Preferably, second filter module uses high-pass filter, including:Resistance R3, R4, R6, R7, capacitance C3, C4, One end connection resistance R1 of the capacitance C3, the other end connect resistance R3, R6 and ECG module respectively, and the resistance R3's is another One end connection simulation ground, one end connection resistance R2 of the capacitance C4, the other end connect resistance R4, R7 and electrocardio mould respectively Block, the other end connection simulation ground of the resistance R4, described resistance R6, R7 are sequentially connected in series, wherein intermediate node connection ECG module Output terminal.
Preferably, the 3rd filter module uses common-mode filter, including:Resistance R5, capacitance C5, the resistance R5's One end connects left finesse and capacitance C5, and the other end connects the output terminal of ECG module, the other end connection simulation of the capacitance C5 Ground.
Preferably, the simulation ground uses magnetic bead L1 with digitally isolator, and the both ends of the magnetic bead L1 connect mould respectively Intend ground and digitally.
Preferably, the analog power and digital power isolator use magnetic bead L2, and the both ends of the magnetic bead 2 connect respectively Analog power and digital power.
The beneficial effects of the invention are as follows:Without doing software filtering by being wirelessly transmitted to mobile phone, in Intelligent hardware inherently It can be judged with cardiac electrical heart murmur, sinus rate etc., reach Real-time Feedback, the effect monitored in real time, is more suitable for the elderly Routine health monitoring, significantly reduce the power problems that wirelessly transmitting data is brought.In addition, it also avoid putting for Intelligent hardware Error in data problem caused by big device saturation, even if being wirelessly transmitted to mobile phone, also provides more reliable and more accurate for software filtering True data, greatly improve cardiac electrical accuracy rate of diagnosis and confidence level.
Brief description of the drawings
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
Fig. 1 is integral module connection diagram of the embodiment of the present invention;
Fig. 2 be not used the invention detects that signal graph;
Fig. 3 be use the invention detects that signal graph.
Embodiment
Below in conjunction with attached drawing, technical scheme is further described, but the present invention is not limited to these realities Apply example.
With reference to attached drawing 1, a kind of noise inhibiting wave filter network applied to intelligent ECG detection, including:Noise measuring mould Block, the first filter module, the second filter module, the 3rd filter module, simulation ground and digitally isolator, analog power and numeral Power isolator and ECG module, the noise detection module connect ECG module, the input terminal of first filter module Connect left hand and the right hand respectively, its output terminal connects ECG module by the second filter module, the 3rd filter module it is defeated Enter the left finesse that end connection inputs one end close to the first filter module, its output terminal connection ECG module;First filter module, mould Intend ground and digitally the combination of isolator, analog power and digital power isolator, the high frequency for filtering out in measuring environment are done Disturb;Second filter module, simulation ground and the digitally combination of isolator, analog power and digital power isolator, for suppressing The low frequency signals such as baseline drift;3rd filter module, simulate ground and digitally isolator, analog power and digital power isolator Combination be used for suppress the right leg from body common mode interference.
Wherein, the first filter module uses RF EMI low-pass filters, and-three dB bandwidth is 1000Hz or so, including:Resistance R1, R2, capacitance C1, C2, one end connection left arm of the resistance R1, the other end connect the filtering moulds of capacitance C1 and second respectively Block, the other end connection simulation ground of the capacitance C1, one end connection right arm of the resistance R2, the other end connect capacitance respectively C2 and the second filter module, the other end connection simulation ground of the capacitance C2.
Wherein, the second filter module uses high-pass filter, and-three dB bandwidth is 0.1Hz-0.5Hz, including:Resistance R3, R4, R6, R7, capacitance C3, C4, one end of the capacitance C3 connect resistance R1, and the other end connects resistance R3, R6 and electrocardio mould respectively Block, the other end connection simulation ground of the resistance R3, one end connection resistance R2 of the capacitance C4, the other end connect resistance respectively R4, R7 and ECG module, the other end connection simulation ground of the resistance R4, described resistance R6, R7 are sequentially connected in series, wherein segmentum intercalaris The output terminal of point connection ECG module, resistance R6 and resistance R7 resistance are more than 100k ohm.Because the addition of the second filter module, Can cause ECG module input terminal L and R do not have DC common-mode level without work, therefore add resistance R6 and resistance R7 from The F ports of ECG module are internal right leg drive output, are introduced directly into cleaner common mode electrical level, further reduce common mode and do Disturb.
Wherein, the 3rd filter module uses common-mode filter, bandwidth 1Hz, including:Resistance R5, capacitance C5, the resistance One end connection left finesse and capacitance C5 of R5, the other end connect the output terminal of ECG module, the other end connection of the capacitance C5 Simulation ground.
Wherein, simulation ground and digitally isolator use magnetic bead L1, and magnetic bead Standard resistance range is 50 ohm -2000 ohm, institute State magnetic bead L1 both ends connect respectively simulation and digitally.
Wherein, analog power and digital power isolator use magnetic bead L2, and magnetic bead Standard resistance range is 50 ohm of -2000 Europe Nurse, the both ends of the magnetic bead 2 connect analog power and digital power respectively.
Make and isolate of magnetic bead in power supply and ground, effectively protect the circuit of electrocardiosignal, disappear by the use of magnetic bead as energy The characteristic of device is consumed, the ability with extremely strong absorption radiation signal;Fixed frequency range shows high common code impedance characteristic, so that Significantly increase the common mode noise immunity of system.
Attached drawing 2 for be not used the invention detects that signal graph, attached drawing 3 for use the invention detects that signal graph.The One filter module and simulation ground and digitally the combination effectiveness of isolator, analog power, digital power isolator, are surveyed for filtering out Measure the High-frequency Interference in environment.Second filter module and simulation ground and digitally isolator, analog power, digital power isolator Combination, for suppressing the low frequency signals such as baseline drift.3rd filter module and simulation ground and digitally isolator, simulation electricity The combination in source, digital power isolator is used for the common mode interference for suppressing the right leg from body, the noise suppressed energy to do well Power.
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology belonging to the present invention is led The technical staff in domain can do various modifications or additions to described specific embodiment or replace in a similar way Generation, but without departing from spirit of the invention or beyond the scope of the appended claims.

Claims (6)

  1. A kind of 1. noise inhibiting wave filter network applied to intelligent ECG detection, it is characterised in that including:Noise measuring mould Block, the first filter module, the second filter module, the 3rd filter module, simulation ground and digitally isolator, analog power and numeral Power isolator and ECG module, the noise detection module connect ECG module, the input terminal of first filter module Connect left hand and the right hand respectively, its output terminal connects ECG module by the second filter module, the 3rd filter module it is defeated Enter the left finesse that end connection inputs one end close to the first filter module, its output terminal connection ECG module;First filter module, mould Intend ground and digitally the combination of isolator, analog power and digital power isolator, the high frequency for filtering out in measuring environment are done Disturb;Second filter module, simulation ground and the digitally combination of isolator, analog power and digital power isolator, for suppressing The low frequency signals such as baseline drift;3rd filter module, simulate ground and digitally isolator, analog power and digital power isolator Combination be used for suppress the right leg from body common mode interference.
  2. 2. the noise inhibiting wave filter network according to claim 1 applied to intelligent ECG detection, it is characterised in that institute State the first filter module and use low-pass filter, including:Resistance R1, R2, capacitance C1, C2, one end connection of the resistance R1 are left Arm, the other end connect capacitance C1 and the second filter module, the other end connection simulation ground of the capacitance C1, the resistance respectively One end connection right arm of R2, the other end connect capacitance C2 and the second filter module, the other end connection of the capacitance C2 respectively Simulation ground.
  3. 3. the noise inhibiting wave filter network according to claim 2 applied to intelligent ECG detection, it is characterised in that institute State the second filter module and use high-pass filter, including:Resistance R3, R4, R6, R7, capacitance C3, C4, one end of the capacitance C3 Resistance R1 is connected, the other end connects resistance R3, R6 and ECG module respectively, and ground is simulated in the other end connection of the resistance R3, One end connection resistance R2 of the capacitance C4, the other end connect resistance R4, R7 and ECG module respectively, and the resistance R4's is another One end connection simulation ground, described resistance R6, R7 are sequentially connected in series, wherein the output terminal of intermediate node connection ECG module.
  4. 4. the noise inhibiting wave filter network according to claim 3 applied to intelligent ECG detection, it is characterised in that institute State the 3rd filter module and use common-mode filter, including:Resistance R5, capacitance C5, the resistance R5 one end connection left finesse and Capacitance C5, the other end connect the output terminal of ECG module, the other end connection simulation ground of the capacitance C5.
  5. 5. the noise inhibiting wave filter network according to claim 1 applied to intelligent ECG detection, it is characterised in that institute State simulation and digitally isolator using magnetic bead L1, the magnetic bead L1 both ends connect respectively simulation and digitally.
  6. 6. the noise inhibiting wave filter network according to claim 2 applied to intelligent ECG detection, it is characterised in that institute State analog power and digital power isolator uses magnetic bead L2, the both ends of the magnetic bead 2 connect analog power and numeral electricity respectively Source.
CN201810004086.3A 2018-01-03 2018-01-03 Noise suppression filter network applied to electrocardio intelligent detection Active CN108030491B (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2363654Y (en) * 1999-01-19 2000-02-16 华南理工大学 Heart function parameter tester
US20060173364A1 (en) * 2004-10-29 2006-08-03 Worcester Polytechnic Institute Multi-channel electrophysiologic signal data acquisition system on an integrated circuit
CN104510461A (en) * 2013-09-26 2015-04-15 中国科学院深圳先进技术研究院 Digital full-isolation electrocardiosignal acquisition and noise reduction device and method thereof
CN204410808U (en) * 2014-12-28 2015-06-24 姜文材 The USB cardiographic detector of band isolation
CN105125207A (en) * 2015-09-22 2015-12-09 吉林大学 Mobile electrocardiogram monitoring terminal
CN105496393A (en) * 2015-12-28 2016-04-20 哈尔滨恒誉名翔科技有限公司 Intelligent electrocardiogram monitoring system
CN106725443A (en) * 2017-01-20 2017-05-31 深圳诺康医疗设备股份有限公司 Cardiac electricity detecting system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2363654Y (en) * 1999-01-19 2000-02-16 华南理工大学 Heart function parameter tester
US20060173364A1 (en) * 2004-10-29 2006-08-03 Worcester Polytechnic Institute Multi-channel electrophysiologic signal data acquisition system on an integrated circuit
CN104510461A (en) * 2013-09-26 2015-04-15 中国科学院深圳先进技术研究院 Digital full-isolation electrocardiosignal acquisition and noise reduction device and method thereof
CN204410808U (en) * 2014-12-28 2015-06-24 姜文材 The USB cardiographic detector of band isolation
CN105125207A (en) * 2015-09-22 2015-12-09 吉林大学 Mobile electrocardiogram monitoring terminal
CN105496393A (en) * 2015-12-28 2016-04-20 哈尔滨恒誉名翔科技有限公司 Intelligent electrocardiogram monitoring system
CN106725443A (en) * 2017-01-20 2017-05-31 深圳诺康医疗设备股份有限公司 Cardiac electricity detecting system

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