CN201631188U - Multichannel biomedical electric signal preprocessing module - Google Patents
Multichannel biomedical electric signal preprocessing module Download PDFInfo
- Publication number
- CN201631188U CN201631188U CN2010201356203U CN201020135620U CN201631188U CN 201631188 U CN201631188 U CN 201631188U CN 2010201356203 U CN2010201356203 U CN 2010201356203U CN 201020135620 U CN201020135620 U CN 201020135620U CN 201631188 U CN201631188 U CN 201631188U
- Authority
- CN
- China
- Prior art keywords
- module
- signal source
- digital filter
- connects
- adaptive noise
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Lifetime
Links
Images
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The utility model relates to a multichannel biomedical electric signal preprocessing module, which consists of an interchannel interference eliminating module, a self-adaptive noise cancelling module, a digital filter module and a master control unit. The master control unit is responsible for setting connection sequence and operation parameters of the interchannel interference eliminating module, the self-adaptive noise cancelling module and the digital filter module. The interchannel interference eliminating module includes an acquisition system, a subtracter, a mathematical fitter and a solution arithmetic unit. An interference signal source and a standard signal source are accessed into adjacent channels at an input end of the acquisition system, an output end of the acquisition system is connected with the subtracter, an output end of the subtracter is connected with the mathematical fitter, and an output end of the mathematical fitter is connected with the solution arithmetic unit. The subtracter is connected with the standard signal source, and the mathematical fitter is respectively connected with the interference signal source and the standard signal source. The self-adaptive noise cancelling module consists of a self-adaptive filter, and the digital filter module consists of one or a plurality of digital filters. The multichannel biomedical electric signal preprocessing module has the advantages of evident preprocessing effect, flexible configuration, wide application range and real-time processing.
Description
Technical field
This utility model relates to a kind of multichannel biological medical signal pretreatment module.
Background technology
Biological medical signal is the important evidence of modern medical diagnosis, treatment and research.Doctor or researcher adopt electronic equipment to gather biological medical signal from human body or animal body usually.But collection site often has numerous Medical Equipmentes, and the complex electromagnetic environment that they cause makes the biomedicine signals that collects be superimposed with various noises and interference.Wherein modal is that 50 hertz power frequency is disturbed and the baseline drift of electronic equipment initiation such as electric knife.
In addition, a plurality of positions of human body or animal body all can produce the signal of telecommunication.The picker might be subjected to the interference of contiguous signal that send at the position when signals collecting is carried out at certain position.During such as the detection fetal electrocardiogram, mother's electrocardiogram can be superimposed upon on the measuring-signal.
At last, the development of current electrical signal acquisition system has the trend of " high accuracy, multichannel, small size ".This makes that the physical separation of each passage components and parts is more and more littler in the acquisition system, thereby the mutual electromagnetic interference of each passage is more and more serious.
Summary of the invention
In order to solve noise and the interference problem that exists in the above-mentioned biomedicine signals gatherer process, the purpose of this utility model is to provide a kind of pretreating effect remarkable, flexible configuration, widely applicable, the multichannel biomedicine signals pretreatment module that can handle in real time.
The multichannel biological medical signal pretreatment module that the utility model proposes, disturb removal module 1, adaptive noise to offset module 2, digital filter module 3 and master control unit 4 and form by interchannel, wherein the outfan of master control unit 4 disturb to be removed the input that module 1, adaptive noise offset module 2 and digital filter module 3 respectively between interface channel, and master control unit 4 is responsible for setting interchannels and is disturbed and remove the order of connection and the operational factor that modules 1, adaptive noise offset module 2 and digital filter module 3; Wherein: described interchannel disturbs removal module 1 to comprise acquisition system 7, subtractor 8, mathematics match device 9 and derivation device 10, interference signal source 5 and standard signal source 6 insert the adjacency channel of acquisition system 7 inputs, outfan connects the input of subtractor 8, the outfan of subtractor 8 connects the input of mathematics match device 9, and the outfan of mathematics match device 9 connects derivation device 10; The input of subtractor 8 connects standard signal source 6, and the input of mathematics match device 9 connects interference signal source 5 and standard signal source 6 respectively; Described adaptive noise offsets module 2 to be made up of sef-adapting filter 11, and sef-adapting filter 11 connects derived reference signal 12; Digital filter module 3 is made up of one or more digital filters.
In this utility model, interchannel disturbs the work process of removing module 1 as follows:
1. insert standard signal source 6 in acquisition system 7 arbitrary passages, insert interference signal source 5 again in its adjacency channel, record standard signal source 6 is in the variation that is subjected to disturb the back to be taken place between adjacency channel.
2. set up the interferential mathematical model of interchannel according to the variation of standard signal and the relation of adjacent channel signals.
3. based on this model, from gatherer process, be subjected to solve true biomedicine signals in the signal of interchannel interference effect.
The interferential mathematical model of interchannel depends on the physical characteristic of acquisition system self, just can be applied in all signals of this system acquisition in case set up.
The adaptive noise of this utility model design offsets module 2 and has adopted auto-adaptive filtering technique.The basic characteristics of this technology are the statistical properties that does not need to predict signal to be analyzed, can directly utilize the observed value of signal, according to the parameter of relevant criterion wave filter of recurrence renewal constantly in the observation process, thereby make the output of wave filter approach desired signal substantially.During concrete enforcement, in acquisition system, reserve a passage and be used for interference and the noise of synchronous recording from collection site or contiguous position.Then with the signal of this passage input signal as sef-adapting filter, and with the signal of other passages, promptly biomedicine signals is as the desired signal of sef-adapting filter.Like this, the error signal of wave filter is exactly the optimal estimation of real biomedicine signals.
The digital filter module 3 of this utility model design is to disturb removal module 1 and adaptive noise to offset effectively replenishing of module 2 to interchannel.This module comprises one or more digital filters, and the parameter of digital filter is set according to the situation of collection site with to the requirement of signal quality by the master control unit.This module is generally used for suppressing power frequency and disturbs and harmonic component.
The master control unit 4 of this utility model design is used for other three modules are configured.Its concrete effect is a sequence of operations of setting the parameter of each module and each module of scheduling.
The signal pre-processing module of this utility model design can be used for the cardiac electric mapping, the collection of biomedicine signals such as brain electro-detection.According to the characteristics of signal and the requirement of collection, scheme can dispose neatly to each module.
The beneficial effects of the utility model:
1. eliminate the interchannel interference by the mode of setting up mathematical model and can eliminate interchannel interference substantially, and have the effect of putting things right once and for all.
2. auto-adaptive filtering technique disturbs the non-stationary from collection site or other positions significant elimination effect.
3. the scheme of this utility model design can apply to the collection of various biomedicine signals neatly.
4. after setting up the interferential mathematical model of interchannel, the scheme of this utility model design can be carried out pretreatment in signals collecting, also promptly have the ability of real-time operation.
The scheme of this utility model design can PC or DSP go up and realize, thereby can be integrated in the signal acquiring system.
Description of drawings
Fig. 1 is a structural representation of the present utility model.
Fig. 2 is this utility model embodiment 1 structural diagrams.
Number in the figure: 1 for interchannel disturbs the removal module, and 2 for adaptive noise offsets module, and 3 is the digital filter module, 4 are the master control unit, 5 is interference signal source, and 6 is standard signal source, and 7 is acquisition system, 8 is subtractor, 9 is mathematics match device, and 10 are the derivation device, and 11 is sef-adapting filter, 12 is the derived reference signal of sef-adapting filter, 13 biomedicine signals that arrive for actual acquisition.In addition, hollow arrow is represented data flow.
The specific embodiment
Below in conjunction with drawings and Examples this utility model is further specified.
Embodiment 1: referring to Fig. 2, present embodiment applies to 128 passage visceral pericardium (exterior heart surface) mapping systems.When this system of use carried out data acquisition, noise that we ran into and interference mainly contained following three aspects: 1. the interference between the mapping system channel; 2. during the mapping atrium, from the interference of ventricle; 3. the artefact that causes of the noise of collection site and electronic equipment.In order to overcome above problem, we have disposed a pretreatment unit according to the scheme of this utility model design after acquisition system.Unitary structure and operational process are as shown in Figure 2.Multichannel biological medical signal pretreatment module disturbs removal module 1, adaptive noise to offset module 2, digital filter module 3 and master control unit 4 and form by interchannel, the outfan of master control unit 4 disturbs removal module 1, adaptive noise to offset the input of module 2 and digital filter module 3 respectively between interface channel, interchannel disturbs and removes module 1, adaptive noise offsets module 2 and digital filter module 3 is connected in series successively; Described interchannel disturbs removal module 1 to comprise acquisition system 7, subtractor 8, mathematics match device 9 and derivation device 10, interference signal source 5 and standard signal source 6 insert the adjacency channel of acquisition system 7 inputs, outfan connects subtractor 8, the outfan of subtractor 8 connects mathematics match device 9, and the outfan of mathematics match device 9 connects derivation device 10; The input of subtractor 8 connects standard signal source 6, and the input of mathematics match device 9 connects interference signal source 5 and standard signal source 6 respectively; Described adaptive noise offsets module 2 to be made up of sef-adapting filter 11, and sef-adapting filter 11 connects derived reference signal 12; Digital filter module 3 is made up of 3 digital filters; The biomedicine signals 13 that actual acquisition arrives inserts derivation device 10, and derivation device outfan connects the desired signal input of sef-adapting filter 11, the error signal output end signal linking number character filter of sef-adapting filter 11.Wherein interference signal source 5 adopts 5 millivolts, 20 hertz triangular wave, and standard signal source 6 adopts 4 millivolts, 100 hertz sinusoidal signal, derived reference signal 12 is collected in the apex of the heart position of mapping heart.Sef-adapting filter 11 adopts lowest mean square (LMS) algorithm to realize.Digital filter module 3 has disposed 3 digital filters, is followed successively by the stopband center frequency and is 50 hertz some resistance wave filter, and the stopband center frequency is the low pass filter that 100 hertz some resistance wave filter and cut-off frequency are 200 hertz.All wave filter adopt the FIR DirectII type structure of linear phase to realize, can guarantee that like this each frequency content of signal is identical by the time-delay behind the wave filter.
Work process of the present utility model is as follows:
1. interchannel interference removal module 1 is at first set in master control unit 4, adaptive noise offsets module 2 and whether digital filter module 3 participates in the pretreatment process, if participate in, sets the order of connection of three intermodules again.Interchannel disturbs and removes module 1 in the present embodiment, adaptive noise offsets module 2 and digital filter module 3 is connected in regular turn.The biomedicine signals 13 that actual acquisition arrives inserts interchannel and disturbs the input of removing module 1; Interchannel disturbs the output of removing module 1 to be connected to the desired signal end of sef-adapting filter 11; The error signal outfan of sef-adapting filter 11 is connected to the input of first digit wave filter in the digital filter module 3; The output of digital filter module 3 is pretreated biomedicine signals.
2. master control unit 4 disposes the parameter of each modules.Such as the coefficient length of setting sef-adapting filter and convergence step-length.
3. interference signal source 5 and standard signal source 6 inserted the adjacency channel of acquisition systems 7 inputs, through the interferential mathematical model of interchannel of asking poor, the mathematics match obtains this acquisition system.
With actual acquisition to the pretreatment unit finished of biomedicine signals 13 input configuration, operation result be suppress noise and disturb after biomedicine signals.
Claims (1)
1. multichannel biological medical signal pretreatment module, disturb removal module (1) by interchannel, adaptive noise offsets module (2), digital filter module (3) and master control unit (4) are formed, the outfan that it is characterized in that master control unit (4) disturbs removal module (1) respectively between interface channel, adaptive noise offsets the input of module (2) and digital filter module (3), and master control unit (4) are responsible for setting interchannel and are disturbed removal module (1), adaptive noise offsets the order of connection and the operational factor of module (2) and digital filter module (3); Wherein: described interchannel disturbs removal module (1) to comprise acquisition system (7), subtractor (8), mathematics match device (9) and derivation device (10), interference signal source (5) and standard signal source (6) insert the adjacency channel of acquisition system (7) input, outfan connects the input of subtractor (8), the outfan of subtractor (8) connects the input of mathematics match device (9), and the outfan of mathematics match device (9) connects derivation device (10); The input of subtractor (8) connects standard signal source (6), and the input of mathematics match device (9) connects interference signal source (5) and standard signal source (6) respectively; Described adaptive noise offsets module 2 to be made up of sef-adapting filter (11), and sef-adapting filter (11) connects derived reference signal (12); Digital filter module (3) is made up of one or more digital filters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201356203U CN201631188U (en) | 2010-03-18 | 2010-03-18 | Multichannel biomedical electric signal preprocessing module |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201356203U CN201631188U (en) | 2010-03-18 | 2010-03-18 | Multichannel biomedical electric signal preprocessing module |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201631188U true CN201631188U (en) | 2010-11-17 |
Family
ID=43075658
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010201356203U Expired - Lifetime CN201631188U (en) | 2010-03-18 | 2010-03-18 | Multichannel biomedical electric signal preprocessing module |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201631188U (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102894973A (en) * | 2012-09-25 | 2013-01-30 | 浙江大学 | ECoG (electrocorticogram) signal amplifier |
| CN103813746A (en) * | 2011-04-22 | 2014-05-21 | 德尔格医疗系统有限公司 | Adaptive notch filter |
| CN104334078A (en) * | 2012-05-24 | 2015-02-04 | 皇家飞利浦有限公司 | Reduction of MRI interference from the electrocardiogram using lead information |
| CN110652293A (en) * | 2019-10-22 | 2020-01-07 | 燕山大学 | Self-adaptive preprocessing optimization method for motor imagery electroencephalogram signals |
| CN112881447A (en) * | 2021-01-12 | 2021-06-01 | 北京工业大学 | System and method for eliminating electromagnetic interference in vacuum chamber of scanning electron microscope |
| CN116458847A (en) * | 2023-04-18 | 2023-07-21 | 中船海神医疗科技有限公司 | Emergency equipment interference suppression method and system based on adaptive filtering |
-
2010
- 2010-03-18 CN CN2010201356203U patent/CN201631188U/en not_active Expired - Lifetime
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103813746A (en) * | 2011-04-22 | 2014-05-21 | 德尔格医疗系统有限公司 | Adaptive notch filter |
| CN103813746B (en) * | 2011-04-22 | 2017-02-15 | 德尔格制造股份两合公司 | Adaptive notch filter |
| US9737265B2 (en) | 2011-04-22 | 2017-08-22 | Drägerwerk AG & Co. KGaA | Adaptive notch filter |
| CN104334078A (en) * | 2012-05-24 | 2015-02-04 | 皇家飞利浦有限公司 | Reduction of MRI interference from the electrocardiogram using lead information |
| CN102894973A (en) * | 2012-09-25 | 2013-01-30 | 浙江大学 | ECoG (electrocorticogram) signal amplifier |
| CN102894973B (en) * | 2012-09-25 | 2014-05-21 | 浙江大学 | ECoG (electrocorticogram) signal amplifier |
| CN110652293A (en) * | 2019-10-22 | 2020-01-07 | 燕山大学 | Self-adaptive preprocessing optimization method for motor imagery electroencephalogram signals |
| CN112881447A (en) * | 2021-01-12 | 2021-06-01 | 北京工业大学 | System and method for eliminating electromagnetic interference in vacuum chamber of scanning electron microscope |
| CN112881447B (en) * | 2021-01-12 | 2023-04-11 | 北京工业大学 | System and method for eliminating electromagnetic interference in vacuum chamber of scanning electron microscope |
| CN116458847A (en) * | 2023-04-18 | 2023-07-21 | 中船海神医疗科技有限公司 | Emergency equipment interference suppression method and system based on adaptive filtering |
| CN116458847B (en) * | 2023-04-18 | 2024-03-29 | 中船海神医疗科技有限公司 | Emergency equipment interference suppression method and system based on adaptive filtering |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN201631188U (en) | Multichannel biomedical electric signal preprocessing module | |
| CN106889984B (en) | A kind of automatic noise-reduction method of electrocardiosignal | |
| Chakraborty et al. | Determination of signal to noise ratio of electrocardiograms filtered by band pass and Savitzky-Golay filters | |
| CN102421354B (en) | Ecg device with impulse and channel switching adc noise filter and error corrector for derived leads | |
| CN103610460B (en) | A kind of Fetal ECG method for extracting signal based on self adaptation FLANN wave filter | |
| CN102680860A (en) | Automatic fault-point locating method for traveling-wave based fault location of high-voltage electric power lines | |
| Kumar et al. | Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems | |
| CN103479349A (en) | Electrocardiosignal data acquisition and processing method and system | |
| Singh et al. | Design of digital IIR filter for noise reduction in ECG signal | |
| CN106529425B (en) | A kind of the R wave extracting method and system of electrocardiosignal | |
| TWI810447B (en) | Method for detecting wave complex, ecg detection device and readable storage medium | |
| CN203693631U (en) | Intelligent online heart sound collection and analysis device | |
| Kumar et al. | Performance comparison of windowing techniques for ECG signal enhancement | |
| CN103110415A (en) | Detection device and method for pace-making signal | |
| CN205083472U (en) | Electrocardio signal acquisition and processing system | |
| Zhang et al. | Design of a real-time ECG filter for resource constraint computer | |
| binti Mustaffa et al. | Significance of averaging method signal denoising | |
| CN104969474A (en) | Apparatus and method for removing noise from a bioelectrical signal | |
| CN107811612A (en) | A kind of heart rate and respiratory rate data processing method | |
| Jenkins et al. | Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements | |
| Yazdanpanah et al. | Design and comparison of digital IIR filters for reduction of artifacts from electrocardiogram waveform | |
| Rincon et al. | Multi-lead wavelet-based ECG delineation on a wearable embedded sensor platform | |
| RU2491883C2 (en) | Electric-cardio signal pre-processor | |
| Zefeng et al. | Design of a multichannel biomedical signal acquisition system based on Cortex-M4 processor | |
| Ţarălungă et al. | Abdominal signals processing: Power line interference removing by applying notch filters |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CX01 | Expiry of patent term |
Granted publication date: 20101117 |
|
| CX01 | Expiry of patent term |