CN105962926B - The heart based on electrocardiogram claps characteristic analysis method and equipment - Google Patents
The heart based on electrocardiogram claps characteristic analysis method and equipment Download PDFInfo
- Publication number
- CN105962926B CN105962926B CN201610244563.4A CN201610244563A CN105962926B CN 105962926 B CN105962926 B CN 105962926B CN 201610244563 A CN201610244563 A CN 201610244563A CN 105962926 B CN105962926 B CN 105962926B
- Authority
- CN
- China
- Prior art keywords
- heart
- claps
- feature
- dimensional
- clap
- 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 - Fee Related
Links
Classifications
-
- A—HUMAN NECESSITIES
- 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
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Artificial Intelligence (AREA)
- Physiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Psychiatry (AREA)
- Cardiology (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a kind of, and the heart based on electrocardiogram claps characteristic analysis method and equipment, wherein, this method comprises: clapping waveform using specific dimension compression algorithm from each heart of electrocardiographic recorder and extracting N-dimensional heart bat characteristic value respectively, wherein N is the integer more than or equal to 2；The N-dimensional heart that one heart claps waveform is clapped into characteristic value as the N-dimensional coordinate value of a point, draws the scatter plot that the N-dimensional heart corresponding with the electrocardiogram claps feature.Utilize specific dimension compression algorithm, waveform, which is clapped, from each heart of electrocardiographic recorder extracts N-dimensional heart bat characteristic value respectively, it draws and obtains the scatter plot that the N-dimensional heart claps feature, compared with original electrocardiographicdigital figure, the difference that the N-dimensional heart claps normal point and abnormal point in the scatter plot of feature becomes apparent from, the preliminary judgement for being easy to that doctor is assisted to carry out disease.
Description
Technical field
The present invention relates to ECG Signal Analysis field more particularly to a kind of heart based on electrocardiogram clap characteristic analysis method and
Equipment.
Background technique
Electrocardiogram is to record the variation figure of electrical activity caused by heart each cardiac cycle from body surface using electrocardiograph
Technology.Fig. 1 is the schematic diagram of one section of original electrocardiographicdigital figure, as shown in Figure 1, RR interval data is intended to indicate that the data of heart rate.
Wherein RR interphase refers to the time span in electrocardiogram in two adjacent QRS complexes between R wave, i.e. x in Fig. 1.Currently, being based on
Recorded in original electrocardiographicdigital figure such as RR interval data, heart rate scatter plot, heart rate panel map etc. can be drawn out, to assist curing
The raw diagnosis for carrying out such as arrhythmia cordis, myocardial infarction, myocardial ischemia disease.
But the heart recorded in electrocardiogram claps waveform and is effectively used not yet.
Summary of the invention
Technical problem
In view of this, the technical problem to be solved by the present invention is to provide a kind of heart bat signature analysis side based on electrocardiogram
Method and equipment.
Solution
The present invention provides a kind of heart bat characteristic analysis method based on electrocardiogram, comprising:
Using specific dimension compression algorithm, waveform is clapped from each heart of electrocardiographic recorder and extracts N-dimensional heart bat feature respectively
Value, wherein N is the integer more than or equal to 2；
The N-dimensional heart that one heart claps waveform is clapped into characteristic value as the N-dimensional coordinate value of a point, is drawn and the electrocardio
Scheme the scatter plot that the corresponding N-dimensional heart claps feature.
In one possible implementation, the dimension compression algorithm is to protect away from compression algorithm.
In one possible implementation, described protect away from compression algorithm is manifold algorithm.
In one possible implementation, the method further include:
It is noted for clapping the reference heart bat feature that feature compares with the N-dimensional heart in the scatter plot, wherein institute
State with reference to the heart clap be characterized according to using the dimension compression algorithm from diagnosed mark the heart clap waveform extracting to the N-dimensional heart clap
Made of characteristic value is drawn.
In one possible implementation, the method further include:
Calculate the N-dimensional heart clap feature and it is described with reference to heart bat feature in the scatter plot at a distance from, and according to being counted
The distance of calculating identifies whether the heart of the N-dimensional heart bat characteristic present claps waveform normal.
The present invention also provides a kind of, and the heart based on electrocardiogram claps signature analysis equipment, comprising:
The heart claps characteristic extracting module, for utilizing specific dimension compression algorithm, claps waveform from each heart of electrocardiographic recorder
The N-dimensional heart is extracted respectively and claps characteristic value, and wherein N is the integer more than or equal to 2；
The heart claps feature drafting module, and the N-dimensional heart for the heart to be clapped waveform claps characteristic value as the N-dimensional of a point
Coordinate value draws the scatter plot that the N-dimensional heart corresponding with the electrocardiogram claps feature.
In one possible implementation, the dimension compression algorithm is to protect away from compression algorithm.
In one possible implementation, described protect away from compression algorithm is manifold algorithm.
In one possible implementation, the equipment further include:
Fixed reference feature labeling module is compared for being noted in the scatter plot with N-dimensional heart bat feature
The reference heart clap feature, wherein it is described with reference to heart bat be characterized according to using the dimension compression algorithm from the heart for having diagnosed mark
The N-dimensional heart that waveform extracting arrives is clapped to clap made of characteristic value drafting.
In one possible implementation, the equipment further include:
Identification module, for calculate the N-dimensional heart clap feature and it is described with reference to the heart clap feature in the scatter plot away from
From, and according to calculated distance identify and the N-dimensional heart clap the heart of characteristic present whether clap waveform normal.
Beneficial effect
The embodiment of the present invention can use specific dimension compression algorithm, clap waveform difference from each heart of electrocardiographic recorder
It extracts the N-dimensional heart and claps characteristic value, draw and obtain the scatter plot that the N-dimensional heart claps feature, compared with original electrocardiographicdigital figure, the N-dimensional heart claps feature
The difference of normal point and abnormal point in scatter plot becomes apparent from, the preliminary judgement for being easy to that doctor is assisted to carry out disease.
According to below with reference to the accompanying drawings becoming to detailed description of illustrative embodiments, other feature of the invention and aspect
It is clear.
Detailed description of the invention
Comprising in the description and constitute the attached drawing of part of specification and specification together illustrate it is of the invention
Exemplary embodiment, feature and aspect, and principle for explaining the present invention.
Fig. 1 is the schematic diagram of one section of original electrocardiographicdigital figure；
Fig. 2 is that the heart based on electrocardiogram of the embodiment of the present invention one claps the flow chart of characteristic analysis method；
Fig. 3 is that the heart based on electrocardiogram of the embodiment of the present invention one claps the heart bat waveform of electrocardiogram in characteristic analysis method
Schematic diagram；
It is non-filtered actual in characteristic analysis method that Fig. 4 a is that the heart based on electrocardiogram of the embodiment of the present invention one is clapped
Electrocardiogram；
Fig. 4 b is the effect picture using same color depth representing Fig. 4 a；
Fig. 4 c is the schematic diagram that the heart based on Fig. 4 a claps that the two-dimentional heart that waveform generates claps feature；
Fig. 5 is that the heart based on electrocardiogram of the embodiment of the present invention two claps the flow chart of characteristic analysis method；
Fig. 6 is that the heart based on electrocardiogram of the embodiment of the present invention three claps the structural schematic diagram of signature analysis equipment；
Fig. 7 is that the heart based on electrocardiogram of the embodiment of the present invention four claps the structural schematic diagram of signature analysis equipment.
Specific embodiment
Below with reference to attached drawing various exemplary embodiments, feature and the aspect that the present invention will be described in detail.It is identical in attached drawing
Appended drawing reference indicate element functionally identical or similar.Although the various aspects of embodiment are shown in the attached drawings, remove
It non-specifically points out, it is not necessary to attached drawing drawn to scale.
Dedicated word " exemplary " means " being used as example, embodiment or illustrative " herein.Here as " exemplary "
Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.
In addition, in order to better illustrate the present invention, numerous details is given in specific embodiment below.
It will be appreciated by those skilled in the art that without certain details, the present invention equally be can be implemented.In some instances, for
Method, means, element and circuit well known to those skilled in the art are not described in detail, in order to highlight purport of the invention.
Embodiment 1
Fig. 2 is that the heart based on electrocardiogram of the embodiment of the present invention one claps the flow chart of characteristic analysis method.As shown in Fig. 2,
The heart based on electrocardiogram claps characteristic analysis method
Step 101, using specific dimension compression algorithm, clap waveform from each heart of electrocardiographic recorder and extract N-dimensional respectively
The heart claps characteristic value, and wherein N is preferably greater than or equal to 2 integer.
Specifically, the heart all in a certain electrocardiogram can be clapped into waveform and all carries out dimension compression, it can also be from electrocardiogram
In select the part heart clap waveform carry out dimension compression.Such as: as shown in figure 3, being the embodiment of the present invention one based on electrocardiogram
The heart that the heart claps electrocardiogram in characteristic analysis method claps the schematic diagram of waveform, and a certain of the front and back of R wave can be chosen from electrocardiogram
Section waveform claps waveform 301 as a heart, and multiple hearts can be selected from electrocardiogram and clap waveform progress dimension compression.
Waveform is clapped to each heart and carries out dimension compression, the available corresponding N-dimensional heart claps characteristic value.Wherein, dimension is compressed
Algorithm may include a variety of, such as: it can be using average value, root mean square, summation scheduling algorithm, it can also be using similar compression of images
In guarantor away from compression algorithm such as manifold algorithm etc..
Step 102, the N-dimensional heart that the heart is clapped to waveform clap characteristic value as the N-dimensional coordinate value of a point, draw with
The corresponding N-dimensional heart of the electrocardiogram claps the scatter plot of feature.
Specifically, the quantity for clapping characteristic value according to the compressed heart is different, and the available N-dimensional heart claps feature.The N-dimensional heart is clapped special
The specific dimension of sign can be two dimension, three-dimensional or more various dimensions the heart claps feature without limiting.
As shown in fig. 4 a, it is clapped for the heart based on electrocardiogram of the embodiment of the present invention one non-filtered in characteristic analysis method
Actual electrocardiogram, wherein the curve A in dotted ellipse is normal electrocardiogram curve, and curve B is abnormal electrocardiogram curve.
Wherein, curve A's and B has the part for being overlapped, intersecting, if do not distinguished by the depth of color, the more difficult area of doctor
Divide the electrocardiogram curve normally with exception.As shown in Figure 4 b, be using same color depth representing Fig. 4 a effect picture, wherein without
It is abnormal electrocardiogram curve which method, which distinguishes partially, which is partially normal electrocardiogram curve.As illustrated in fig. 4 c, for based on
The heart of Fig. 4 a claps the schematic diagram that the two-dimentional heart that waveform generates claps feature, can be horizontally and vertically indicated respectively by each of Fig. 4 a
The heart claps two hearts that waveform compression obtains and claps characteristic value.A ' indicates that the two-dimentional heart extracted by normal electrocardiogram curve A is clapped
The point of feature, this part compares concentration；B ' indicates that the two-dimentional heart of abnormal electrocardiogram curve B claps feature, and the point of this part is obvious
Deviate from A '.
A~Fig. 4 c referring to fig. 4, after the scatter plot that the N-dimensional heart claps feature is generated according to electrocardiogram, doctor or other users can
To clap feature according to the N-dimensional heart, heart disease is tentatively judged, auxiliary carries out medical diagnosis on disease.Specific judgment method can be with
There are many, such as: doctor judges according to clinical experience, alternatively, the N-dimensional heart with the electrocardiogram marked after diagnosing claps feature
Scatter plot is compared.Wherein, the scatter plot of the bat of the two dimension heart shown in Fig. 4 c feature and original electrocardiogram 4a or Fig. 4 b phase
Than the position difference of normal point and abnormal point is obvious, the preliminary judgement for being easy to that doctor is assisted to carry out disease.
The heart based on electrocardiogram of the present embodiment claps characteristic analysis method, can use specific dimension compression algorithm, from
Each heart of electrocardiographic recorder claps waveform and extracts N-dimensional heart bat characteristic value respectively, draws and obtains the scatter plot that the N-dimensional heart claps feature, with original
Beginning electrocardiogram is compared, and the N-dimensional heart claps normal point in the scatter plot of feature and the difference of abnormal point becomes apparent from, be easy to assist doctor into
The preliminary judgement of row disease.
Embodiment 2
Fig. 5 is that the heart based on electrocardiogram of the embodiment of the present invention two claps the flow chart of characteristic analysis method.As shown in figure 5,
On the basis of a upper embodiment, should clap characteristic analysis method based on the heart of electrocardiogram can also include:
Step 201 is noted for clapping the reference heart bat spy that feature compares with the N-dimensional heart in the scatter plot
Sign, wherein it is described with reference to the heart clap be characterized according to using the dimension compression algorithm from diagnosed mark the heart clap waveform extracting to
The N-dimensional heart clap characteristic value draw made of.
Wherein, it may include that the normal heart claps waveform that the heart that doctor has diagnosed mark, which claps waveform, also may include indicating disease
The heart of sick such as " sinus arrhythmia ", " premature beat " exception claps waveform.In the scatter plot for clapping feature for characterizing the N-dimensional heart, both
The normal heart can be marked and clap the reference heart bat feature that waveform indicates, the abnormal heart can also be marked and clap the reference heart that waveform indicates
It claps feature or the two all marks out.
Also, mark claps feature with reference to the N-dimensional heart that the heart claps feature and marks certain electrocardiogram to be detected in scatter plot,
Can there is no timing requirements, with specific reference to application scenarios, can first mark with flexible choice and any not affect reality of the invention
It is existing.In general, it is identical to clap the feature N-dimensional heart bat dimension of feature corresponding with electrocardiogram with reference to the heart, for example, being all two dimension, in scatterplot
It is labelled in figure after clapping feature with reference to the heart, user can be more convenient and be compared judgement.For example, what can first be will test makes
The N-dimensional heart that the electrocardiogram of user generates is clapped feature and is labeled in scatter plot, and then mark refers to the heart and claps feature in scatter plot.Again
Such as, it can also first be marked in scatter plot and clap feature with reference to the heart, then mark the heart according to the user detected in scatter plot
The N-dimensional heart that electrograph generates claps feature.
Wherein, it may include a variety of, example that the specific comparison reference heart, which claps feature and the method for the N-dimensional heart bat feature of certain electrocardiogram,
Such as:
Step 202, calculate the N-dimensional heart clap feature and it is described with reference to heart bat feature in the scatter plot at a distance from, and
According to calculated distance identify and the N-dimensional heart clap the heart of characteristic present whether clap waveform normal.
For example, the N-dimensional heart for calculating separately the electrocardiogram of certain user claps feature and multiple reference hearts are clapped feature and dissipated described
Distance in point diagram obtains clapping minimum at a distance from feature with reference to the heart with a certain kind, then can be with the electrocardio of the auxiliary judgment user
Scheme closest with the heart bat waveform characterized with reference to heart bat feature.If this claps the heart bat waveform that feature is characterized with reference to the heart
It normally, then can be with the normal ECG of the auxiliary judgment user.If this claps the heart bat waveform that feature is characterized with reference to the heart
Abnormal (such as premature beat) can then be belonged to the heart with the electrocardiogram of the auxiliary judgment user and clap abnormal, and tend to premature beat.
Further, it is also possible to acquire a large amount of electrocardiogram for various heart diseases, the number that feature is clapped with reference to the heart is pre-established
According to library.For example, the method for arriving step 103 using above-mentioned steps 101, chooses multiple electrocardiograms to certain heart disease, to each
After the heart of the electrocardiogram of selection claps waveform progress dimension compression, the corresponding two dimension heart claps characteristic value, by statistical analysis, most
It is can be generated eventually for indicating the corresponding two-dimensional scatter plot for clapping feature with reference to the heart of this heart disease.In this way, doctor into
During row medical diagnosis on disease, it can directly select the Exception Type for needing to compare corresponding from the database that the reference heart claps feature
The reference heart clap feature scatter plot.The N-dimensional heart for needing the electrocardiogram diagnosed to obtain is clapped into the scatter plot of feature and the ginseng of selection
The scatter plot for examining heart bat feature is compared, and can more easily assist doctor tentatively to judge disease.It is of course also possible to
The reference heart bat feature of the N-dimensional heart bat feature and a certain disease that need the electrocardiogram diagnosed is plotted in a scatter plot and is carried out
Compare, user may appear to more convenient, intuitive.Specific method can be selected according to the scene of practical application, this hair
Without limiting in bright embodiment.
The heart based on electrocardiogram of the present embodiment claps characteristic analysis method, can use specific dimension compression algorithm, from
Each heart of electrocardiographic recorder claps waveform and extracts N-dimensional heart bat characteristic value respectively, draws and obtains the scatter plot that the N-dimensional heart claps feature, with original
Beginning electrocardiogram is compared, and the N-dimensional heart claps normal point in the scatter plot of feature and the difference of abnormal point becomes apparent from, be easy to assist doctor into
The preliminary judgement of row disease.Wherein, after automatically extracting heart bat feature by software, feature can also be clapped to the heart of extraction and divided
Class is clapped to highlight the abnormal heart in electrocardiogram, and therefore, doctor claps the scatter plot of feature by the N-dimensional heart, can be more convenient and more
Whether the intuitive electrocardiogram for determining user there is abnormal and abnormal type.In addition, even for unidentified illness, it can also
To be characterized in the scatter plot that the N-dimensional heart of drafting claps feature.
Embodiment 3
Fig. 6 is that the heart based on electrocardiogram of the embodiment of the present invention three claps the structural schematic diagram of signature analysis equipment.Such as Fig. 6 institute
Show, should clap signature analysis equipment based on the heart of electrocardiogram can also include:
The heart claps characteristic extracting module 61, for utilizing specific dimension compression algorithm, claps wave from each heart of electrocardiographic recorder
Shape extracts the N-dimensional heart respectively and claps characteristic value, and wherein N is the integer more than or equal to 2；
The heart claps feature drafting module 63, and the N-dimensional heart for the heart to be clapped waveform claps characteristic value as the N of a point
Dimensional coordinate values draw the N-dimensional heart corresponding with the electrocardiogram and clap feature.
Specifically, the heart all in a certain electrocardiogram can be clapped into waveform and all carries out dimension compression, it can also be from electrocardiogram
In select the part heart and clap waveform and carry out dimension compression, obtain the corresponding N-dimensional heart and clap characteristic value.Wherein, dimension compression algorithm can be with
Including a variety of, such as: can using average value, root mean square, summation scheduling algorithm, can also using the guarantor in similar compression of images away from
Compression algorithm such as manifold algorithm etc..
Referring to Fig. 3, the heart claps each section of waveform conduct that characteristic extracting module 61 can choose the front and back of R wave from electrocardiogram
One heart claps waveform 301.A~Fig. 4 c referring to fig. 4, the heart claps feature drafting module 63 can be by non-filtered actual electrocardiogram
The N-dimensional heart clap character representation in figure.Wherein, the two dimension heart shown in Fig. 4 c claps feature and original electrocardiogram 4a or Fig. 4 b phase
Than the position difference of normal point and abnormal point is obvious, the preliminary judgement for being easy to that doctor is assisted to carry out disease.
The heart based on electrocardiogram of the present embodiment claps signature analysis equipment, and the heart is clapped characteristic extracting module and be can use specifically
Dimension compression algorithm claps waveform from each heart of electrocardiographic recorder and extracts N-dimensional heart bat characteristic value respectively, claps feature drafting module by the heart
It draws the N-dimensional heart and claps feature, compared with original electrocardiographicdigital figure, the difference that the N-dimensional heart claps normal point and abnormal point in feature is become apparent from, easily
The preliminary judgement of disease is carried out in auxiliary doctor.
Embodiment 4
Fig. 7 is that the heart based on electrocardiogram of the embodiment of the present invention four claps the structural schematic diagram of signature analysis equipment.Such as Fig. 7 institute
Show, on the basis of the above embodiments, should clap signature analysis equipment based on the heart of electrocardiogram can also include:
Fixed reference feature labeling module 71, it is special for being noted for clapping with the reference heart that N-dimensional heart bat feature compares
Sign, wherein it is described with reference to the heart clap be characterized according to using the dimension compression algorithm from diagnosed mark the heart clap waveform extracting to
The N-dimensional heart clap characteristic value draw made of.
Specifically, it may include that the normal heart claps waveform that the heart that doctor has diagnosed mark, which claps waveform, also may include indicating
The abnormal heart of disease claps waveform.In the schematic diagram for clapping feature for characterizing the N-dimensional heart, it can both mark the normal heart and clap waveform
The reference heart of expression claps feature, and the reference heart that can also mark abnormal heart bat waveform indicates claps feature or the two all marks
Out.Also, mark claps feature with reference to the N-dimensional heart that the heart claps feature and marks certain electrocardiogram to be detected, can also want without timing
It asks, with specific reference to application scenarios, can first mark with flexible choice and any not affect realization of the invention.It is labelled with reference
After the heart claps feature, user can be more convenient and be compared judgement.
Further, should clap signature analysis equipment based on the heart of electrocardiogram can also include:
Identification module 73, for calculate the N-dimensional heart clap feature and it is described with reference to heart bat feature at a distance from, and according to being counted
The distance of calculating identifies whether the heart of the N-dimensional heart bat characteristic present claps waveform normal.
For example, the N-dimensional heart that identification module 73 calculates separately the electrocardiogram of certain user claps feature and multiple reference hearts clap spy
The distance of sign, obtain clapping with a certain kind with reference to the heart it is minimum at a distance from feature, then can with the electrocardiogram of the auxiliary judgment user with
This is closest with reference to the heart bat waveform that heart bat feature is characterized.If this is clapped the heart bat waveform that feature is characterized with reference to the heart and is positive
It often, then can be with the normal ECG of the auxiliary judgment user.If it is different that this claps the heart that feature is characterized to clap waveform with reference to the heart
Often (such as premature beat) can then be belonged to the heart with the electrocardiogram of the auxiliary judgment user and clap abnormal, and tend to premature beat.
The heart based on electrocardiogram of the present embodiment claps signature analysis equipment, and the heart is clapped characteristic extracting module and be can use specifically
Dimension compression algorithm claps waveform from each heart of electrocardiographic recorder and extracts N-dimensional heart bat characteristic value respectively, claps feature drafting module by the heart
It draws the N-dimensional heart and claps feature, compared with original electrocardiographicdigital figure, the difference that the N-dimensional heart claps normal point and abnormal point in feature is become apparent from, easily
The preliminary judgement of disease is carried out in auxiliary doctor.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (8)
1. a kind of heart based on electrocardiogram claps characteristic analysis method characterized by comprising
Using specific dimension compression algorithm, waveform is clapped from each heart of electrocardiographic recorder and extracts N-dimensional heart bat characteristic value respectively,
Middle N is the integer more than or equal to 2；
The N-dimensional heart that one heart claps waveform is clapped into characteristic value as the N-dimensional coordinate value of a point, is drawn and the electrocardiogram pair
The N-dimensional heart answered claps the scatter plot of feature；
It is noted for clapping the reference heart bat feature that feature compares with the N-dimensional heart in the scatter plot；
Calculate the N-dimensional heart clap feature and it is described with reference to heart bat feature in the scatter plot at a distance from, and according to being calculated
Distance identify and the N-dimensional heart clap the heart of characteristic present whether clap waveform normal.
2. the method according to claim 1, wherein the dimension compression algorithm is to protect away from compression algorithm.
3. according to the method described in claim 2, it is characterized in that, described protect away from compression algorithm is manifold algorithm.
4. method described in any one of claim 1 to 3, which is characterized in that further include:
It is described with reference to the heart clap be characterized according to using the dimension compression algorithm from diagnosed mark the heart clap waveform extracting to N
The heart is tieed up to clap made of characteristic value drafting.
5. a kind of heart based on electrocardiogram claps signature analysis equipment characterized by comprising
The heart claps characteristic extracting module, for utilizing specific dimension compression algorithm, claps waveform difference from each heart of electrocardiographic recorder
It extracts the N-dimensional heart and claps characteristic value, wherein N is the integer more than or equal to 2；
The heart claps feature drafting module, and the N-dimensional heart for the heart to be clapped waveform claps characteristic value as the N-dimensional coordinate of a point
Value draws the scatter plot that the N-dimensional heart corresponding with the electrocardiogram claps feature；
Fixed reference feature labeling module claps the ginseng that feature compares with the N-dimensional heart for being noted in the scatter plot
It examines the heart and claps feature；
Identification module, for calculate the N-dimensional heart clap feature and it is described with reference to heart bat feature in the scatter plot at a distance from, and
According to calculated distance identify and the N-dimensional heart clap the heart of characteristic present whether clap waveform normal.
6. equipment according to claim 5, which is characterized in that the dimension compression algorithm is to protect away from compression algorithm.
7. equipment according to claim 6, which is characterized in that described protect away from compression algorithm is manifold algorithm.
8. the equipment according to any one of claim 5~7, which is characterized in that further include:
It is described with reference to the heart clap be characterized according to using the dimension compression algorithm from diagnosed mark the heart clap waveform extracting to N
The heart is tieed up to clap made of characteristic value drafting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610244563.4A CN105962926B (en) | 2016-04-18 | 2016-04-18 | The heart based on electrocardiogram claps characteristic analysis method and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610244563.4A CN105962926B (en) | 2016-04-18 | 2016-04-18 | The heart based on electrocardiogram claps characteristic analysis method and equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105962926A CN105962926A (en) | 2016-09-28 |
| CN105962926B true CN105962926B (en) | 2019-01-29 |
Family
ID=56993027
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610244563.4A Expired - Fee Related CN105962926B (en) | 2016-04-18 | 2016-04-18 | The heart based on electrocardiogram claps characteristic analysis method and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105962926B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107157475B (en) * | 2017-05-11 | 2020-08-25 | 陈一昕 | Display method of electrocardiogram data and terminal equipment |
| CN107928652B (en) * | 2017-12-15 | 2021-07-27 | 深圳市维亿魄科技有限公司 | Heart monitoring method based on pulse rate variability |
| CN109259756B (en) * | 2018-09-04 | 2020-12-18 | 周军 | ECG signal processing method based on secondary neural network of unbalanced training |
| CN109480825B (en) * | 2018-12-13 | 2021-08-06 | 武汉中旗生物医疗电子有限公司 | Electrocardio data processing method and device |
| CN109770893B (en) * | 2019-03-08 | 2022-11-18 | 东南大学 | Method and device for rapidly positioning atrial fibrillation position in Holter analysis system |
| CN111449645B (en) * | 2020-03-07 | 2021-07-06 | 河南大学 | Intelligent classification and identification method for electrocardiogram and heartbeat |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5622178A (en) * | 1994-05-04 | 1997-04-22 | Spacelabs Medical, Inc. | System and method for dynamically displaying cardiac interval data using scatter-plots |
| US7657307B2 (en) * | 2005-10-31 | 2010-02-02 | Medtronic, Inc. | Method of and apparatus for classifying arrhythmias using scatter plot analysis |
| CN101810476B (en) * | 2009-12-22 | 2011-11-16 | 李顶立 | Classification method of heart beat template of dynamic electrocardiogram |
| CN103271737B (en) * | 2013-05-23 | 2014-11-05 | 山东师范大学 | Heart rate turbulence tendency extraction method based on cloud model and scatter diagram |
| CN103815897B (en) * | 2014-02-28 | 2015-07-15 | 吉林大学 | Electrocardiogram characteristic extraction method |
| CN104586385B (en) * | 2015-02-12 | 2017-07-18 | 中国人民解放军总医院 | Heart rate analysis method and apparatus based on electrocardiogram |
-
2016
- 2016-04-18 CN CN201610244563.4A patent/CN105962926B/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| CN105962926A (en) | 2016-09-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105962926B (en) | The heart based on electrocardiogram claps characteristic analysis method and equipment | |
| CN107072545B (en) | Electrocardiogram data analysis method and system for rapid diagnosis | |
| CN103815897B (en) | Electrocardiogram characteristic extraction method | |
| CN109063552A (en) | A kind of multi-lead electrocardiosignal classification method and system | |
| CN110074774B (en) | Analysis method, system, medium and terminal for heart ventricular septal abnormality based on magnetocardiogram | |
| CN103961089B (en) | Based on the heart rate turbulence trend-monitoring method of sectional straight line fitting | |
| EP1794694A2 (en) | Method of medical monitoring | |
| WO2019015017A1 (en) | Quantitative analysis method for electrocardio dynamics data | |
| CN106073760A (en) | 18 Lead ambulatory electrocardiograms based on wilson's lead2s analyze method and system | |
| US8229551B2 (en) | Method of presenting electrocardiographic data | |
| CN105025786B (en) | Simplified method and apparatus is carried out to from the obtained information of electrical impedance tomography | |
| KR20130048596A (en) | Electrocardiogram display method and user interface apparatus therefor | |
| JP2022536420A (en) | cardiac graphics display system | |
| CN111920399A (en) | Analysis method and device for heart rate variability | |
| CN112971800B (en) | Deep learning-based electrocardio premature beat signal processing method, module and device | |
| JP2016536044A (en) | Multi-channel ECG signal evaluation apparatus and method | |
| Horáček et al. | Noninvasive electrocardiographic imaging of chronic myocardial infarct scar | |
| Weng et al. | Myocardial infarction classification by morphological feature extraction from big 12-lead ECG data | |
| CN108478214A (en) | A kind of antialiasing stacking method and device for electrocardiogram (ECG) data analysis | |
| CN109077719A (en) | Signal recognition method, device, equipment and storage medium | |
| Moharreri et al. | Extended parabolic phase space mapping (EPPSM): Novel quadratic function for representation of heart rate variability signal | |
| Gillette et al. | Medalcare-xl: 16,900 healthy and pathological 12 lead ecgs obtained through electrophysiological simulations | |
| Donnelly et al. | Lead selection: old and new methods for locating the most electrocardiogram information | |
| De Marco et al. | Identification of morphological patterns for the detection of premature ventricular contractions | |
| CN107157475B (en) | Display method of electrocardiogram data and terminal equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190129 Termination date: 20210418 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |