CN107550488A - Electrocardio artefact removing method and device - Google Patents
Electrocardio artefact removing method and device Download PDFInfo
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Abstract
The invention provides a kind of electrocardio artefact removing method and device, it is related to electrocardio processing technology field.The electrocardio artefact removing method includes：First filtering process is carried out to original electrocardiographicdigital data, obtains LPF data；Second filtering process is carried out to the LPF data, obtains fitting artifact data；The original electrocardiographicdigital data and the fitting artifact data are asked poor, obtain the electrocardiogram (ECG) data after removing electrocardio artefact.Electrocardio artefact removing method and device provided by the invention obtain the artefact signal fitted by carrying out filtering twice to the electrocardiosignal containing artefact, then primary signal and fitted signal are asked into poor, you can obtain the electrocardiosignal for removing artefact.The program has very strong robustness without extra electrocardio reference information for motion artifactses, and reduce further local error by mixed filtering, for children's electrocardio artefact elimination propose it is a kind of more accurately, more easy processing scheme.
Description
Technical field
The present invention relates to electrocardio processing technology field, in particular to a kind of electrocardio artefact removing method and device.
Background technology
Child's electrocardiogram has larger difference compared with adult, and child's electrocardiogram machine is mainly used in the survey of child's electrocardiogram
Amount and diagnosis, it is in actual applications, uncontrollable due to child's mood, disobey the management of doctor.Caused ecg wave form letter
It is number of poor quality, it is mainly shown as containing substantial amounts of high-frequency noise and motion artifactses, the especially heart of the motion artifactses noise to infant
The identification of electrical waveform brings great inconvenience with diagnosis.
At present, how the study hotspot of electrocardiogram exercise artefact treatment technology will effectively move puppet if mainly still concentrating on
Difference eliminates.Therefore, scholars both domestic and external have carried out substantial amounts of research, and propose many non-linear processing methods, main bag
Include superposed average method, sef-adapting filter method, Independent component analysis (Independent Component Analysis,
ICA) etc..
The similitude of form and motion are dry between superposed average method takes full advantage of the quasi periodic of electrocardiosignal, the heart is clapped
Disturb the randomness of signal and filter out the purposes of motion artifactses to reach.But experiment shows, superposed average method needs substantial amounts of week aroused in interest
Phase signal, which participates in superposed average, could obtain relatively good effect, and this method can not react the prominent of heart cycle waveform form
So change.
Sef-adapting filter has the ability of its own parameter of adjust automatically, has been obtained widely in nonlinear filtering field
Using.The shortcomings that self-adaptive routing, is that the often activity of saying of patient greatly, is generated by it and introduces Holter
Motion disturbance signals and sensor output signal between correlation be than relatively low, be unable to reach expected filter effect.
Independent component analysis (ICA) has unique advantage in Blind Signal Separation field.Independent component analysis (ICA)
The advantages of be that it does not need any priori on signal just to complete the separation of signal and noise, but this simultaneously and
Its weak point, how powerful interference signal to be filtered out to improve ICA with reference to prior informations such as the quasi periodics of electrocardiosignal
Effect is still to study a difficult point from now on.In addition, in the case where all leads all run into motion artifacts, ICA is difficult to obtain
More satisfactory result.
Some are studied this and realized using the multi-resolution decomposition of small echo and with reference to threshold coefficient decision algorithm to motion artifact
Automatic identification.From basic function of the Haar wavelet basis as wavelet transformation, 6 Scale Decompositions are carried out to ambulatory ecg signal, so
Determine whether to receive motion artifacts by setting fixed threshold on yardstick 5 and yardstick 6 afterwards.But the recognition methods is present
Following shortcoming：On the one hand, the value of threshold coefficient needs manually to be set according to the concrete condition of actual acquired data, such as
The priori deficiency of fruit clinician, have selected inappropriate threshold value, algorithm may be by rhythms of the heart such as substantial amounts of VPBs
Arrhythmic event is mistaken for motion artifact, and this will have a strong impact on the degree of accuracy of analysis result；On the other hand, human ecg signal right and wrong
Often diversified, some motion artifacts " can also pretend " to come true the form of solid bat, therefore for any single parameter nearly all
They can be distinguished well in the absence of the threshold value of determination.
The content of the invention
It is an object of the invention to provide a kind of electrocardio artefact removing method and device, and it can be effectively improved above-mentioned ask
Topic.
What embodiments of the invention were realized in：
In a first aspect, the embodiments of the invention provide a kind of electrocardio artefact removing method, methods described includes：To the original heart
Electric data carry out the first filtering process, obtain LPF data；Second filtering process is carried out to the LPF data, obtained
Take fitting artifact data；The original electrocardiographicdigital data and the fitting artifact data are asked poor, obtained after removing electrocardio artefact
Electrocardiogram (ECG) data.
Second aspect, the embodiment of the present invention additionally provide a kind of electrocardio artefact cancellation element, and it includes the first filtration module,
For carrying out the first filtering process to original electrocardiographicdigital data, LPF data are obtained；Second filtration module, for described low
Pass filtered data carries out the second filtering process, obtains fitting artifact data；Seek difference module, for by the original electrocardiographicdigital data with
The fitting artifact data asks poor, obtains the electrocardiogram (ECG) data after removing electrocardio artefact.
The third aspect, the embodiment of the present invention additionally provide a kind of electrocardio artefact cancellation element, and it includes FIR low pass filter
With Savitzky-Golay wave filters, the FIR low pass filter and Savitzky-Golay wave filters cascade are described
FIR low pass filter is used to carry out low-pass filtering treatment to the original electro-cardiologic signals containing artefact, obtains LPF data, institute
State Savitzky-Golay wave filters to be used to carry out least square fitting filtering to the LPF data, obtain fitting artefact
Data.
Electrocardio artefact removing method and device provided in an embodiment of the present invention, by the way that original electrocardiographicdigital data are carried out with the first filter
Ripple processing, obtains LPF data, with more obvious in original electrocardiographicdigital data are eliminated under the premise of phase characteristic is immovable
High-frequency noise, filter out preliminary artifact data；The second filtering process is carried out to the LPF data again, obtains fitting
Artifact data, artifact data can be made more smooth, the electrocardio artefact of approaching to reality；Finally by the original electrocardiographicdigital data with it is described
Fitting artifact data asks poor, you can obtains the electrocardiogram (ECG) data after removing electrocardio artefact.Electrocardio artefact provided in an embodiment of the present invention
Removing method and device obtain the artefact signal fitted by carrying out filtering twice to the electrocardiosignal containing artefact, then by original
Beginning signal asks poor with fitted signal, you can obtains the electrocardiosignal for removing artefact.Relative and prior art, this programme is without extra
Electrocardio reference information, reduce the complexity of data processing, there is very strong robustness for motion artifactses, enhance denoising
Whole structure, and local error reduce further by mixed filtering, one kind is proposed for the elimination of children's electrocardio artefact
Simply, the processing scheme of quick and few distortion.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore be not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is a kind of structured flowchart for the electronic equipment that can be applied in the embodiment of the present invention；
Fig. 2 is the FB(flow block) for the electrocardio artefact removing method that first embodiment of the invention provides；
Fig. 3 is the FB(flow block) of step S300 in first embodiment of the invention；
Fig. 4 is the sub-step FB(flow block) of step S200 in first embodiment of the invention；
Fig. 5 is the sub-step FB(flow block) of step S210 in first embodiment of the invention；
Fig. 6 is the electrocardiogram of children in the case of the children that first embodiment of the invention provides cry and scream；
Fig. 7 is the electrocardiogram obtained after electrocardio artefact removing method denoising that first embodiment of the invention provides；
Fig. 8 is the structured flowchart for the electrocardio artefact cancellation element that second embodiment of the invention provides；
Fig. 9 is the structured flowchart for another electrocardio artefact cancellation element that second embodiment of the invention provides；
Figure 10 is the structured flowchart for the first filtration module that second embodiment of the invention provides；
Figure 11 is the structured flowchart for the second filtration module that second embodiment of the invention provides；
Figure 12 is the structural representation for the electrocardio artefact cancellation element that third embodiment of the invention provides.
Embodiment
Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Ground describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.Generally exist
The component of the embodiment of the present invention described and illustrated in accompanying drawing can be configured to arrange and design with a variety of herein.Cause
This, the detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit claimed invention below
Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing
The every other embodiment obtained on the premise of going out creative work, belongs to the scope of protection of the invention.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent accompanying drawing in individual accompanying drawing.Meanwhile the present invention's
In description, term " first ", " second " etc. are only used for distinguishing description, and it is not intended that instruction or hint relative importance.
Fig. 1 shows a kind of structured flowchart for the electronic equipment 100 that can be applied in the embodiment of the present application.As shown in figure 1,
Electronic equipment 100 can disappear including memory 110, storage control 120, processor 130, display screen 140 and electrocardio artefact
Except device.For example, the electronic equipment 100 can be PC (personal computer, PC), tablet personal computer, intelligent hand
Machine, personal digital assistant (personal digital assistant, PDA) etc..
It is directly or indirectly electric between memory 110, storage control 120, processor 130,140 each element of display screen
Connection, to realize the transmission of data or interaction.For example, one or more communication bus or signal can be passed through between these elements
Bus realizes electrical connection.The electrocardio artefact removing method respectively include it is at least one can be with software or firmware (firmware)
Form be stored in software function module in memory 110, such as the software function that the electrocardio artefact cancellation element includes
Module or computer program.
Memory 110 can store various software programs and module, and the electrocardio artefact as the embodiment of the present application provides disappears
Except programmed instruction/module corresponding to method and device.Processor 130 is by running the software program of storage in the memory 110
And module, so as to perform various function application and data processing, that is, realize that the electrocardio artefact in the embodiment of the present application eliminates
Method.Memory 110 can include but is not limited to random access memory (Random Access Memory, RAM), read-only to deposit
Reservoir (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only Memory,
PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM), electric erasable
Read-only storage (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..
Processor 130 can be a kind of IC chip, have signal handling capacity.Above-mentioned processor can be general
Processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit (Network
Processor, abbreviation NP) etc.；It can also be digital signal processor (DSP), application specific integrated circuit (ASIC), ready-made programmable
Gate array (FPGA) either other PLDs, discrete gate or transistor logic, discrete hardware components.It can
To realize or perform disclosed each method, step and the logic diagram in the embodiment of the present application.General processor can be micro-
Processor or the processor can also be any conventional processors etc..
Electronic equipment 100 applied in the embodiment of the present invention should also possess from display work(to realize that electrocardio artefact eliminates
Can, display screen 140 therein can provide an interactive interface (such as user between the electronic equipment 100 and user
Operation interface) or for display image data give user reference.For example, the electrocardio that electrocardio artefact cancellation element obtains can be shown
Image and the information for calculating the electrocardiogram (ECG) data correlation obtained.
First embodiment
Fig. 2 is refer to, present embodiments provides a kind of electrocardio artefact removing method, methods described includes：
Step S200：First filtering process is carried out to original electrocardiographicdigital data, obtains LPF data；
In the present embodiment, the original electrocardiographicdigital data can be the ECG (electrocardiogram) containing electrocardio artefact
Electrocardiogram (ECG) data, first filtering process comprise at least low-pass filtering treatment.It is understood that to the original electrocardiographicdigital data
The first filtering process is carried out, both can be that low-pass filtering treatment is only carried out to the ECG electrocardiogram (ECG) datas containing electrocardio artefact；Can be with
It is that low-pass filtering treatment not only has been carried out to the ECG electrocardiogram (ECG) datas containing electrocardio artefact, has also carried out others and can remove to make an uproar
Sound filtering process.Preferably, after first filtering process is carried out to the original electrocardiographicdigital data, the original electrocardiographicdigital is kept
The phase characteristic of data is constant.
Step S210：Second filtering process is carried out to the LPF data, obtains fitting artifact data；
In the present embodiment, second filtering process comprises at least fitting filtering process.It is understood that to the original
Beginning electrocardiogram (ECG) data carries out the second filtering process, both can be only to be fitted filtering to the ECG electrocardiogram (ECG) datas containing electrocardio artefact
Processing；It can also be and fitting filtering process not only has been carried out to the ECG electrocardiogram (ECG) datas containing electrocardio artefact, also carried out others
The more smooth processing of the LPF data waveform can be made.Preferably, described the is carried out to the original electrocardiographicdigital data
Two filtering process, smooth noise rises and falls under the premise of ensureing that initial data is distortionless.
Step S220：The original electrocardiographicdigital data and the fitting artifact data are asked poor, obtained after removing electrocardio artefact
Electrocardiogram (ECG) data.
In the present embodiment, it can be the electrocardio artifact data of fitting by the step S210 fitting artifact datas obtained, lead to
Cross and original electrocardiographicdigital data and the fitting artifact data are asked poor, you can eliminate the artefact signal section contained in original electro-cardiologic signals
Point, realize the elimination to electrocardio artefact.
It refer to Fig. 3, in the present embodiment, can also comprise the following steps before the step S200：
Step S300：Obtain original electrocardiographicdigital data.
In the present embodiment, the electrocardiogram (ECG) data that subject can be directly obtained by electrocardiogram acquisition equipment is used as original electrocardiographicdigital number
According to the electrocardiogram (ECG) data for also carrying electrocardio artefact exported by upper level signal handling equipment can also be obtained as original electrocardiographicdigital
Data.
Fig. 4 is refer to, in the present embodiment, specifically, the step S200 can include following sub-step：
Step S400：The low-pass cut-off frequencies of LPF are set；
For LPF, it is passband to be less than some frequency, is stopband higher than some frequency.In the present embodiment, pass through
The low-pass cut-off frequencies of LPF are set, can make frequency less than the signal of the low-pass cut-off frequencies by the way that and frequency is higher than
The signal of the low-pass cut-off frequencies is filtered out.Preferably, it is 45Hz to set low-pass cut-off frequencies, can filter out most of high frequency
Noise, and electrocardio artefact signal screening is come out.
Step S410：The target signal filter of the low-pass cut-off frequencies will be higher than in original electrocardiographicdigital data, obtain LPF
Data.
In the present embodiment, it is preferred that the filter window function of LPF can select Hamming window (Hamming), its phase
For common rectangular window, there is more preferable elimination to act on to High-frequency Interference.
Fig. 5 is refer to, in the present embodiment, specifically, the step S210 can include following sub-step：
Step S500：The LPF polyfit curve coefficients are obtained by least square method；
In the present embodiment, specifically, one group is chosen with n=in the LPF data that first can be obtained from previous step
(2M+1) individual data centered on 0.It is fitted using following multinomial：
So that approximate mean square error of this group of data centered on n=0 is minimum.Its regression criterion is：
In order that regression criterion CN is minimum, it is 0 for the partial derivative of parameters to make CN, therefore is obtained：
Abbreviation obtains：
Equation (4) is the normal equation of least square approximation, needs to meet n≤2M in this equation.Finally by equation
(4) polynomial fitting curve coefficient a can be solvedk。
Step S510：The LPF data are fitted according to the polynomial fitting curve coefficient, obtains and intends
Close artifact data.
Polynomial fitting curve coefficient a is obtained by step S500kAfterwards, it can be calculated and obtained by above-mentioned fitting function (1)
Obtain the more smooth fitting artifact data waveform finally fitted.
In the present embodiment, by the way that by LPF and the electrocardiosignal containing artefact is fitted into filtering process successively, both
The phase characteristic for keeping signal completely after being low-pass filtered is ensure that, further through least square fitting method, is being ensured as far as possible
Smooth noise rises and falls under the premise of initial data is distortionless, and only need to be more with regard to that can calculate according to filter order and unilateral points
Binomial coefficient, reduce the complexity of data processing.Relative to prior art, the method that the present embodiment provides is simpler, fast
Speed, it can more retain the data distribution characteristic such as extreme value and width.
The Contrast on effect for the electrocardio artefact removing method that the present embodiment provides is as shown in Figure 6 and Figure 7.
Wherein, Fig. 6 is the electrocardiogram ECG of children in the case of children cry and scream；Fig. 7 is that the same electrocardio fragment in Fig. 6 is passed through
The electrocardiogram picture obtained after the electrocardio artefact removing method denoising that the present embodiment provides.
Second embodiment
Fig. 8 is refer to, present embodiments provides a kind of electrocardio artefact cancellation element 600, it includes：
First filtration module 610, for carrying out the first filtering process to original electrocardiographicdigital data, obtain LPF data；
Second filtration module 620, for carrying out the second filtering process to the LPF data, obtain fitting artefact number
According to；
Difference module 630 is sought, for the original electrocardiographicdigital data and the fitting artifact data to be asked into poor, obtains and removes electrocardio
Electrocardiogram (ECG) data after artefact.
It refer to Fig. 9, in the present embodiment, the electrocardio artefact cancellation element 600 can also include：
Electrocardiogram acquisition module 640, for obtaining original electrocardiographicdigital data.
Figure 10 is refer to, in the present embodiment, specifically, first filtration module 610 can include following subelement：
Setting unit 611, the low-pass cut-off frequencies of LPF are set；
Low-pass filter unit 612, the target signal filter of the low-pass cut-off frequencies will be higher than in original electrocardiographicdigital data, obtained low
Pass filtered data.
Figure 11 is refer to, in the present embodiment, specifically, second filtration module 620 can include following subelement：
Computing unit 621, the LPF polyfit curve coefficients are obtained by least square method；
Filter unit 622 is fitted, the LPF data are fitted according to the polynomial fitting curve coefficient,
Obtain fitting artifact data.
3rd embodiment
Figure 12 is refer to, present embodiments provides a kind of electrocardio artefact cancellation element 700, it includes FIR low pass filter
710 and Savitzky-Golay wave filters 720, the FIR low pass filter 710 and the Savitzky-Golay wave filters
720 cascades.
In the present embodiment, the FIR low pass filter 710 is used to carry out low pass filtered to the original electro-cardiologic signals containing artefact
Ripple processing, obtains LPF data；The Savitzky-Golay wave filters 720 are used to carry out the LPF data
Least square fitting filters, and obtains fitting artifact data.
In the present embodiment, the electrocardiosignal containing artefact is pre-processed by FIR low pass filter 710, by FIR
This superior performance of the phase invariant of low pass filter 710, it can completely keep the phase characteristic of signal.Setting, FIR is low
During bandpass filter 710, in order to retain electrocardiosignal live part, influence of some high-frequency noises to electrocardiosignal can be filtered out,
Its low-pass cut-off frequencies positions 45Hz, and the window function of wherein FIR low pass filter 710 elects Hamming window as, for strengthening denoising
Whole structure.
In the present embodiment, the Savitzky-Golay wave filters 720 are based on least square multinomial principle, can be to data
Least square fitting filtering is carried out, it can serve as smooth noise under the premise of ensureing that initial data is distortionless as far as possible and rise and fall
Wave filter, and with the advantage for following baseline drift and motion artifacts to change.The application letter of Savitzky-Golay wave filters 720
It is single, without extra electrocardio reference information, it is more suitable for the application of Holter.
The present embodiment passes through the shape after being cascaded FIR low pass filter 710 and Savitzky-Golay wave filters 720
Cheng Xin filter, denoising is carried out to children's electrocardio artefact so that global de-noising effect is enhanced, and compound filter enters one
Step reduces the local error of filter result.
In summary, electrocardio artefact removing method and device provided in an embodiment of the present invention, by original electrocardiographicdigital data
The first filtering process is carried out, obtains LPF data, to eliminate original electrocardiographicdigital data under the premise of phase characteristic is immovable
In more obvious high-frequency noise, filter out preliminary artifact data；The LPF data are carried out at the second filtering again
Reason, fitting artifact data is obtained, artifact data can be made more smooth, the electrocardio artefact of approaching to reality；Finally by the original heart
Electric data ask poor with the fitting artifact data, you can obtain the electrocardiogram (ECG) data after removing electrocardio artefact.The embodiment of the present invention carries
The electrocardio artefact removing method and device of confession obtain the puppet fitted by carrying out filtering twice to the electrocardiosignal containing artefact
Mark signal, then primary signal and fitted signal are asked poor, you can obtain the electrocardiosignal for removing artefact.Relative and prior art,
This programme reduces the complexity of data processing, has very strong Shandong for motion artifactses without extra electrocardio reference information
Rod, the whole structure of denoising is enhanced, and local error reduce further by mixed filtering, be children's electrocardio artefact
Eliminate the processing scheme for proposing a kind of simple, quick and few distortion.The preferred embodiments of the present invention are the foregoing is only,
It is not intended to limit the invention, for those skilled in the art, the present invention there can be various modifications and variations.It is all this
Within the spirit and principle of invention, any modification, equivalent substitution and improvements made etc., the protection model of the present invention should be included in
Within enclosing.
Claims (10)
1. a kind of electrocardio artefact removing method, it is characterised in that methods described includes：
First filtering process is carried out to original electrocardiographicdigital data, obtains LPF data；
Second filtering process is carried out to the LPF data, obtains fitting artifact data；
The original electrocardiographicdigital data and the fitting artifact data are asked poor, obtain the electrocardiogram (ECG) data after removing electrocardio artefact.
2. according to the method for claim 1, it is characterised in that the first filtering process is being carried out to original electrocardiographicdigital data, obtained
Before taking LPF data, in addition to：
Obtain original electrocardiographicdigital data.
3. according to the method for claim 1, it is characterised in that the first filtering process is carried out to original electrocardiographicdigital data, obtained
LPF data, including：
The low-pass cut-off frequencies of LPF are set；
The target signal filter of the low-pass cut-off frequencies will be higher than in original electrocardiographicdigital data, obtain LPF data.
4. according to the method for claim 1, it is characterised in that the second filtering process is carried out to the LPF data,
Fitting artifact data is obtained, including：
The LPF polyfit curve coefficients are obtained by least square method；
The LPF data are fitted according to the polynomial fitting curve coefficient, obtain fitting artifact data.
5. according to the method for claim 1, it is characterised in that the window function of first filtering process is Hamming window.
A kind of 6. electrocardio artefact cancellation element, it is characterised in that including：
First filtration module, for carrying out the first filtering process to original electrocardiographicdigital data, obtain LPF data；
Second filtration module, for carrying out the second filtering process to the LPF data, obtain fitting artifact data；
Difference module is sought, for the original electrocardiographicdigital data and the fitting artifact data to be asked into poor, is obtained after removing electrocardio artefact
Electrocardiogram (ECG) data.
7. device according to claim 6, it is characterised in that also include：
Electrocardiogram acquisition module, for obtaining original electrocardiographicdigital data.
8. device according to claim 6, it is characterised in that first filtration module specifically includes：
Setting unit, the low-pass cut-off frequencies of LPF are set；
Low-pass filter unit, the target signal filter of the low-pass cut-off frequencies will be higher than in original electrocardiographicdigital data, obtains LPF
Data.
9. device according to claim 6, it is characterised in that second filtration module specifically includes：
Computing unit, the LPF polyfit curve coefficients are obtained by least square method；
Filter unit is fitted, the LPF data are fitted according to the polynomial fitting curve coefficient, obtains and intends
Close artifact data.
10. a kind of electrocardio artefact cancellation element, it is characterised in that filtered including FIR low pass filter and Savitzky-Golay
Device, the FIR low pass filter and Savitzky-Golay wave filters cascade,
The FIR low pass filter is used to carry out low-pass filtering treatment to the original electro-cardiologic signals containing artefact, obtains low pass filtered
Wave number evidence,
The Savitzky-Golay wave filters are used to carry out least square fitting filtering to the LPF data, obtain and intend
Close artifact data.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109602414A (en) * | 2018-11-12 | 2019-04-12 | 安徽心之声医疗科技有限公司 | A kind of ecg signal data Enhancement Method of multi-angle of view conversion |
| CN110236532A (en) * | 2019-04-30 | 2019-09-17 | 深圳和而泰家居在线网络科技有限公司 | Processing of bioelectric signals method, apparatus, computer equipment and storage medium |
| CN110327031A (en) * | 2018-11-29 | 2019-10-15 | 武汉中旗生物医疗电子有限公司 | A method of removal electrocardiosignal motion artifacts |
| CN111803060A (en) * | 2020-07-14 | 2020-10-23 | 武汉中旗生物医疗电子有限公司 | Electrocardio artifact signal removing method and device |
| CN114159073A (en) * | 2020-09-10 | 2022-03-11 | 广达电脑股份有限公司 | Electrocardio noise filtering device |
| CN117547283A (en) * | 2024-01-11 | 2024-02-13 | 湘江实验室 | Electrocardiosignal data classification method, device, computer equipment and medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102499670A (en) * | 2011-11-23 | 2012-06-20 | 北京理工大学 | Electrocardiogram baseline drifting correction method based on robust estimation and intrinsic mode function |
| CN104783780A (en) * | 2015-04-13 | 2015-07-22 | 深圳市飞马与星月科技研究有限公司 | Electrocardiosignal denoising method and device |
-
2017
- 2017-09-28 CN CN201710934435.7A patent/CN107550488A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102499670A (en) * | 2011-11-23 | 2012-06-20 | 北京理工大学 | Electrocardiogram baseline drifting correction method based on robust estimation and intrinsic mode function |
| CN104783780A (en) * | 2015-04-13 | 2015-07-22 | 深圳市飞马与星月科技研究有限公司 | Electrocardiosignal denoising method and device |
Non-Patent Citations (2)
| Title |
|---|
| 吴金奖: "可穿戴动态心电信号分析技术的研究", 《中国优秀硕士学位论文全文数据库医药卫生科技辑》 * |
| 李大焕: "基于精确延时估计的脑电磁共振同时测量时梯度伪迹的去除", 《中国优秀硕士学位论文全文数据库医药卫生科技辑》 * |
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| CN110236532A (en) * | 2019-04-30 | 2019-09-17 | 深圳和而泰家居在线网络科技有限公司 | Processing of bioelectric signals method, apparatus, computer equipment and storage medium |
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| CN111803060B (en) * | 2020-07-14 | 2022-12-06 | 武汉中旗生物医疗电子有限公司 | Electrocardio artifact signal removing method and device |
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