CN108478214A - A kind of antialiasing stacking method and device for electrocardiogram (ECG) data analysis - Google Patents

Abstract

The invention relates to medical electrocardiogram data analysis technology, in particular to an anti-aliasing superimposition method and device for electrocardiogram data analysis. An anti-aliasing superposition method for electrocardiographic data analysis, comprising: selecting a morphological template to be queried from a morphological template library, wherein the waveform feature combination of a normal waveform template and/or an abnormal heart rate waveform template are stored in the morphological template library According to the selected shape template, multiple waveforms with the same category and similar shape are selected from the waveform feature combination to re-fit to generate preview superimposed data; among them, the waveform with similar shape is the degree of fit after fitting Highest waveform; shows a waveform plot previewing overlaid data. The electrocardiogram waveform is quickly searched by the anti-aliasing superposition method, which greatly improves the efficiency of manual search.

Description

Anti-aliasing superposition method and device for ECG data analysis

technical field

The invention belongs to the technical field of data analysis, and relates to a medical cardiogram data analysis technology, in particular to an anti-aliasing superimposition method and device for electrocardiographic data analysis.

Background technique

Electrocardiogram (ECG or EKG) is the use of electrocardiogram inspection equipment to record the electrical activity number graph generated by each cardiac cycle of the heart from the body surface. What the electrocardiogram records is the curve of the voltage age and time number, the electrocardiogram is usually recorded on the coordinate paper, and the coordinate paper is usually composed of small grids with a width of 1mm and a height of 1mm. The abscissa represents time, and the ordinate represents voltage.

Electrocardiography is one of the most routine clinical tests and is widely used. The scope of application includes: 1. Record the point activity of the normal human heart; 2. Help diagnose arrhythmia; 3. Help diagnose myocardial ischemia, myocardial infarction, and determine the location of myocardial infarction; 4. Diagnose cardiac enlargement and hypertrophy; 5. Determine drugs Or the impact of electrolyte conditions on the heart; 6. Judging the status of artificial heart pacing, etc.

Because the electrocardiogram is used as an important basis for judging and analyzing the patient's condition, it is of great significance in medicine. In order to obtain ECG data with high reference value, it is usually necessary to continuously detect the ECG data of the subject (patient), and the response (information) of the result includes the existence of a certain signal abnormality and the gap between the signals in the massive data , and the signal distribution in the statistical sense. For the extraction of the above-mentioned signals, it is necessary to analyze and compare a large amount of data and adopt a statistical method.

The traditional ECG analysis system/tool mainly uses computer image recognition and data analysis and other technical means to identify and analyze the ECG, and sets the extraction method of the information to be extracted (such as characteristic signal information, statistical information, etc.) as a tool template. The patient (doctor) can get the corresponding result by calling the tool, and then make a judgment on the condition of the subject (patient) according to the result.

The core of the existing ECG data analysis system is based on computer programs, and the tool classification and operating habits of the system are based on basic knowledge in the computer field, such as classification according to tool types. However, as a medical system for discriminating electrocardiograms, the existing system does not refer to the habits and procedures of meaning operations, so there is a need to switch and call various software functions during the operation process, which increases the threshold for software use and reduces the system. Versatility.

In the above analysis process, the following problems are usually unavoidable: 1. The system inevitably has misjudgment when recognizing the ECG. At this time, it is necessary to query and correct the judgment result of the system, and the basis for the correction is the original Electrocardiogram; 2. It is necessary to find the electrocardiogram corresponding to the misjudgment in a large amount of raw data, which requires specialized staff to carry out, and the workload is quite large; it also affects the doctor's diagnosis time.

Contents of the invention

In view of the above problems, the object of the present invention is to provide an anti-aliasing superimposition method for ECG data analysis, to realize the rapid search of ECG waveform diagrams during the ECG data analysis process, and to improve the efficiency of manual search.

Another object of the present invention is to provide an anti-aliasing and superimposing device for electrocardiographic data analysis, so as to realize rapid diagnosis of electrocardiogram waveforms during the electrocardiographic data analysis process.

For realizing this technical purpose, scheme of the present invention is:

An anti-aliasing overlay method for ECG data analysis comprising

Select the morphological template that needs to be queried from the morphological template library, wherein the waveform feature combination of the normal waveform template and/or the waveform feature combination of the abnormal heart rate waveform template are stored in the morphological template library;

Select the detection point that needs to lead, re-fit all the waveforms in the waveform feature combination according to the selected detection point and the selected shape template, and generate a superimposed data fitting diagram corresponding to the selected detection point;

Displays the overlaid data fit plot.

Further, multiple waveforms with the same category and similar shapes are selected from the waveform feature combination according to the selected shape template to re-fit to generate preview superposition data; among them, the waveforms with similar shapes are the ones with the highest fitting degree after fitting waveform;

Displays a waveform plot previewing overlaid data.

Further, the overlay data includes first overlay data and second overlay data;

Select the waveform diagram to be queried from the first superimposed data corresponding to one of the detection points;

Simultaneously, in the second superimposed data corresponding to the other detected points, the waveform diagram corresponding to the waveform diagram selected in the first superimposed data is highlighted; and

Displays the template set data corresponding to the selected waveform graph that needs to be queried. The template set data is a set of similar waveforms belonging to the same shape template.

Further, the template set data is selected and the corresponding waveform diagram is displayed in the source database.

Further, selecting the waveform diagram to be queried from the first superposition data corresponding to one of the detection points includes,

Display the histogram illustration of the selected waveform diagram, wherein the abscissa of the histogram illustration is the period and/or period ratio, and the ordinate is the number of similar waveforms appearing on the corresponding abscissa;

Display the scatter diagram of the selected waveform graph, wherein the scatter diagram, histogram and superimposed data are simultaneously displayed on the same image interface.

An anti-aliasing superposition device for electrocardiographic data analysis, comprising

The shape template selection module is used to select the shape template that needs to be queried from the shape template library, wherein the waveform feature combination of the normal waveform template and/or the waveform feature combination of the abnormal heart rate waveform template are stored in the shape template library;

The lead superimposition module is used to select the detection point that needs the lead, refit all the data in the waveform feature combination according to the selected detection point and the selected morphological template, and generate the superposition data corresponding to the selected detection point Fitting graph;

The overlay data display module is used to display the overlay data fitting graph.

Further, the fitting superposition module is used to select multiple waveforms of the same category and similar shapes from the waveform feature combination according to the selected shape template to re-fit to generate preview superposition data; wherein, the waveforms with similar shapes are pseudo The waveform with the highest fitting degree after merging;

The display module is used to display the waveform diagram of the preview superimposed data.

Further, the overlay data includes first overlay data and second overlay data;

The virtual selection module is used to select the waveform graph that needs to be queried from the first superimposed data corresponding to one of the detection points; at the same time, it is highlighted in the second superimposed data corresponding to another detection point that corresponds to the selected waveform graph in the first superimposed data oscillogram; and

The template set display module is used to display the template set data corresponding to the selected waveform graph to be queried, and the template set data is a set of similar waveforms belonging to the template waveforms of the same form.

Further, the source database module is used for displaying corresponding waveform diagrams in the source database module according to the selected template set data.

Further, selecting the waveform diagram to be queried from the first superposition data corresponding to one of the detection points also includes,

The histogram illustration module is used to display the histogram illustration of the selected waveform diagram, the abscissa of the histogram illustration is the period and/or the period ratio, and the ordinate is the number of similar waveforms that appear on the corresponding abscissa;

The scatter diagram illustration module is used to display the scatter diagram illustration of the selected waveform diagram, and the scatter diagram illustration, histogram illustration and superimposed data are simultaneously displayed on the same image interface.

Compared with the prior art, the present invention provides an anti-aliasing superimposition method and device for ECG data analysis, wherein, an anti-aliasing and superimposition method for ECG data analysis includes: selecting the desired The morphological template to be queried, wherein the waveform feature combination of the normal waveform template and/or the waveform feature combination of the abnormal heart rate waveform template are stored in the morphological template library; Multiple similar waveforms are re-fitted to generate preview overlay data; among them, the waveform with similar shape is the waveform with the highest fitting degree after fitting; the waveform diagram of the preview overlay data is displayed. Realize the rapid search of ECG waveform diagrams in the process of ECG data analysis, greatly improving the efficiency of manual search.

Description of drawings

Fig. 1 is the main flowchart of a kind of anti-aliasing overlay method that is used for ECG data analysis of the present invention;

Fig. 2 is the whole flow chart of a kind of anti-aliasing overlay method for electrocardiographic data analysis of the present invention;

Fig. 3 is a structural block diagram of an anti-aliasing and superimposing device for ECG data analysis according to the present invention;

Fig. 4 is an entrance sign diagram of an anti-aliasing and superimposing device for electrocardiographic data analysis according to the present invention;

Fig. 5 is an area division and label diagram of an anti-aliasing and superimposing device for electrocardiographic data analysis according to the present invention.

FIG. 6 is a schematic diagram of a superimposed data display module in an anti-aliasing and superimposing device for electrocardiographic data analysis according to the present invention.

Explanation of reference signs:

210. Morphology Template Selection Module, 220. Fitting Overlay Module, 230. Display Module, 240. Lead Overlay Module, 250. Overlay Data Display Module, 251. Virtual Selection Module, 252. First Overlay Data, 253. Second Superimposed data, 254. Highlight waveform, 260. Template collection display module, 270. Scatter diagram display module, 280. Histogram display module, 290. Source database module.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings 1-6 and specific implementation methods in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, and Not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Please combine Figure 1 and Figure 2, an anti-aliasing overlay method for ECG data analysis, including the following steps:

Step S110: Select the morphological template that needs to be queried from the morphological template library, wherein the morphological template selection module can store the waveform feature combination of the normal waveform template, or store the waveform feature combination of the abnormal heart rate waveform template, or store the waveform feature combination of the waveform template. The waveform feature combination of the normal waveform template and the waveform feature combination of the abnormal heart rate waveform template are stored at the same time. The waveform feature combination includes a collection of waveforms with similar characteristics, or various types of waveforms (various characteristics ) collection.

Step S130: re-fit all the data in the waveform feature combination according to the selected detection point and the selected shape template, and generate superposition data corresponding to the selected detection point. There is also a mapping relationship between the detection point and the source database and/or morphological template data. The user (doctor) can judge from his own clinical experience which detection points the preview superimposed data inconsistent with the morphological template may be caused by, so the user (doctor) selects the detection points that require leads.

Step S131: Display the waveform diagram of the superimposed data.

Preferably, step S120 is also included before step S130. Step S120: According to the selected shape template, select multiple waveforms with the same category and similar shapes from the waveform feature combination to re-fit, and generate preview superposition data, among which, the waveforms with similar shapes are the ones with the highest fitting degree after fitting waveform. The preview superposition data is the fitting of multiple waveforms of the same category and similar shapes, or the preview superposition data is the fitting of all waveforms of the same category and similar shapes.

Preferably, step S121 is further included after step S120. Step S121: Displaying the preview overlay data. That is, it shows whether the waveform diagram of the preview superimposed data is consistent with the waveform in the shape template, or what differences exist, and helps users (doctors) use the preview superimposed data as a preliminary diagnosis basis.

Preferably, step S140 is further included after step S131. Step S140: Select the waveform graph to be queried from the first superimposed data corresponding to one of the detection points, and at the same time highlight the waveform corresponding to the selected waveform graph in the first superimposed data in the second superimposed data corresponding to another detection point picture. And display the template set data corresponding to the selected waveform graph that needs to be queried. The template set data is a set of similar waveforms belonging to the same form template. The mapping relationship between the first superimposed data and the second superimposed data can be established through the mapping relationship. Correspondence between data can be selected by selecting a waveform in the first superimposed data to highlight the corresponding waveform in the second superimposed data. The correspondence between the first superimposed data and the second superimposed data in this embodiment may include but not limited to corresponding according to a time relationship, and the selection method includes but not limited to box selection. Highlighting in this embodiment is to deepen the display of the waveform graph corresponding to the waveform graph selected in the first superimposed data and the second superimposed data. The highlighting can be: the corresponding waveform display in the second superimposed data is brighter, and the waveform lines It is displayed thicker or enlarged. In this embodiment, the highlighting method is that the waveform lines are displayed thicker.

The overlay data may include first overlay data and second overlay data, wherein by selecting a waveform in the first overlay data a corresponding waveform may be highlighted in the second overlay data.

Preferably, step S141 is further included after step S140. Step S141: Display the histogram diagram of the selected waveform diagram, wherein the histogram diagram and the source database may also include a mapping relationship, and the corresponding relationship between the data established through the mapping can be clicked on the corresponding histogram in the The corresponding position on the ECG in the source database is observed. That is to say, with the existence of the above-mentioned mapping relationship, when the user performs an operation including but not limited to clicking on the histogram, the position of the original ECG data corresponding to the histogram on the original ECG will be displayed. Not limited to circled by a line with a distinguishing background color. The abscissa of the histogram can be period, period ratio, and period-to-period ratio, and the ordinate is the number of similar waveforms appearing on the corresponding abscissa.

Preferably, step S142 is further included after step S140. Step S142: Displaying the scatter diagram of the selected waveform graph, where a mapping relationship may also be included between the scatter diagram and the superimposed data. That is to say, when the first superimposed data and/or the second superimposed data select a waveform diagram, the selected waveform diagram will be displayed by scatter points in the scatter diagram.

As a further preference, the scatter diagram illustration, the histogram illustration, the template set, the source database, the first superimposed data and/or the second superimposed data can be simultaneously displayed on the same image interface.

Preferably, step S150 is further included after step S140. Step S150: If the user (doctor) wants to view the waveforms in the source database corresponding to the first superimposed data and/or the second superimposed data, he can select the selected template set data in the template set and display the corresponding waveform in the source database. Waveform diagram. There is a mapping relationship between the template collection and the source database. It is also possible to select the waveform graph to be queried from the first superimposed data and/or the second superimposed data through the mapping relationship between the first superimposed data and/or the second superimposed data and the source database, and display the corresponding waveform in the source database. The correspondence in this embodiment includes, but is not limited to, the correspondence of time.

Please refer to Fig. 3-5, an anti-aliasing and overlaying device for ECG data analysis, including a shape template selection module 210, a lead overlay module 240, an overlay data display module 250, a fitting overlay module 220, a display module 230, Virtual selection module 251 , template collection display module 260 , source database module 290 , histogram presentation module 280 and scatterplot presentation module 270 .

The morphology template selection module 210 is configured to select a morphology template to be queried from a morphology template library, wherein waveform feature combinations of normal waveform templates and/or waveform feature combinations of abnormal heart rate waveform templates are stored in the morphology template library.

The lead superimposition module 240 is used to select the detection point that needs the lead, refit all the data in the waveform feature combination according to the selected detection point and the selected morphological template, and generate the superposition corresponding to the selected detection point data. There is a mapping relationship between the lead superposition module 240 and the morphology template selection module 120 .

The superimposed data display module 250 is configured to display the superimposed data, wherein the lead superimposed module 240 sends the superimposed data to the superimposed data display module 250 to display the superimposed data.

Preferably, the fitting and superimposing module 220 is used to select a plurality of waveforms with the same category and similar shapes from the waveform feature combination according to the selected shape template to re-fit to generate preview superimposed data; wherein, the waveforms with similar shapes It is the waveform with the highest fitting degree after fitting.

The display module 230 is used for displaying a waveform diagram of the preview superimposed data. The fitting and overlay module 220 sends the preview overlay data to the display module 230 for display.

As further preferably, it also includes a query editing module and a tag library module, the query editing module is used to query and/or revise the statistical results of the fitting superposition module; the tag library module is used to provide the query editing module to revise the shape collection data Tag library, such as N for normal waveform, S for atrial premature beat, V for ventricular premature beat, etc.

Please refer to FIG. 6 , preferably, the overlay data includes first overlay data 252 and second overlay data 253 .

The virtual selection module 251 is used to select the waveform image to be queried from the first superimposed data 252 corresponding to one of the detection points; at the same time, it highlights the selected waveform in the first superimposed data 252 in the second superimposed data 253 corresponding to another detection point. The waveform diagram corresponding to the waveform diagram is the highlighted waveform 254 . The first superimposed data 252 and the second superimposed data 253 contain a mapping relationship, and the corresponding relationship between the data can be established through the mapping relationship. By selecting the waveform in the first superimposed data 252, the corresponding waveform can be highlighted in the second superimposed data 253 .

Preferably, the template set display module 260 is used to display the template set data corresponding to the selected waveform diagram to be queried, and the template set data is a set of similar waveforms belonging to the template waveforms of the same form. There is a mapping relationship between the template set display module 260 and the first overlay data 252, and a mapping relationship between the template set display module 260 and the second overlay data 253. By selecting the waveform to be searched in the first overlay data 252, the template set display module 260 and the second overlay data 253 include a mapping relationship. The template set data corresponding to the waveform is displayed in the set display module 260 , and by selecting the waveform to be searched in the second overlay data 253 , the template set data corresponding to the waveform is displayed in the template set display module 260 .

Preferably, the source database module 290 is configured to display corresponding waveform diagrams in the source database module 290 according to the selected template set data. There is a mapping relationship between the source database module 290 and the template set display module 260, there is a mapping relationship between the source database module 290 and the first overlay data 252, and there is a mapping relationship between the source database module 290 and the second overlay data 253. Select the template set data in the collection display module 260, display the corresponding waveform in the source database module 290, and display the corresponding waveform in the source database module 290 by selecting the waveform to be searched in the first superimposed data 252 or the second superimposed data 253. waveform.

As a preference, selecting the waveform diagram to be queried from the first superposition data 252 corresponding to one of the detection points also includes:

The histogram illustration module 280 is configured to display the histogram illustration of the selected waveform diagram, the abscissa of the histogram illustration is the period and/or the period ratio, and the ordinate is the number of similar waveforms appearing on the corresponding abscissa. The histogram display module 280 includes a mapping relationship with the first superimposed data 252 and the second superimposed data 253. By selecting the waveform to be searched in the first superimposed data 252 or the second superimposed data 253, the histogram display module 280 displays a histogram corresponding to the selected waveform.

The scatter diagram illustration module 270 is used to display the scatter diagram illustration of the selected waveform diagram, the scatter diagram illustration, the histogram illustration and the first overlay data 252 and the second overlay data 253 are simultaneously displayed on the same image interface. The scatter diagram illustration module 270 contains a mapping relationship with the first superimposed data 252 and the second superimposed data 253. By selecting the waveform to be searched in the first superimposed data 252 or the second superimposed data 253, the scatter diagram diagram The display module 270 displays a scattergram corresponding to the selected waveform.

In the embodiments provided in the present invention, it should be understood that the disclosed devices and methods may also be implemented in other ways. The device and method embodiments described above are only illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show possible implementation architectures of devices, methods and computer program products according to multiple embodiments of the present invention, function and operation. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more executable instruction. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or action , or may be implemented by a combination of dedicated hardware and computer instructions.

In addition, each functional module in each embodiment of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, electronic device, or network device, etc.) execute all or part of the steps of the methods in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. . It should be noted that, in this document, the terms "comprising", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

In the description of the embodiments of the present invention, the terms "first" and "second" are used for description purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

Finally, it should be noted that: the above examples only express several implementation modes of the present invention, and the description thereof is relatively specific and detailed, but it should not be construed as limiting the scope of the patent for the invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.

Claims (10)

1. a kind of antialiasing stacking method for electrocardiogram (ECG) data analysis, which is characterized in that including

Selection needs the morphological template inquired from morphological template library, wherein normal waveform template is stored in morphological template library Wave character combination and/or heart rate unusual waveforms template wave character combination；

Selection needs the test point of lead, is combined to wave character according to selected test point and selected morphological template In all waveforms be fitted again, generate corresponding with selected test point superposition of data fitted figure；

Show superposition of data fitted figure.

2. a kind of antialiasing stacking method for electrocardiogram (ECG) data analysis according to claim 1, which is characterized in that selection Further include before the test point for needing lead,

According to selected morphological template from wave character combination selection classification is identical and shape similar in multiple waveform weights New fitting, generates preview superposition of data；Wherein, waveform similar in shape is the highest waveform of degree of fitting after fitting；

Show the oscillogram of preview superposition of data.

3. a kind of antialiasing stacking method for electrocardiogram (ECG) data analysis according to claim 1, which is characterized in that superposition Data include the first superposition of data and the second superposition of data；

Selection needs the oscillogram inquired from one of test point corresponding first superposition of data；

It is highlighted in corresponding second superposition of data of other test point simultaneously corresponding with selected oscillogram in the first superposition of data Oscillogram；And

It is to belong to phase in same morphological template that display, which needs the corresponding template collective data of oscillogram inquired, template collective data, Like the set of waveform.

4. a kind of antialiasing stacking method for electrocardiogram (ECG) data analysis according to claim 3, which is characterized in that

Selection template collective data simultaneously shows corresponding oscillogram in source database.

5. a kind of antialiasing stacking method for electrocardiogram (ECG) data analysis according to claim 3, which is characterized in that from it In in corresponding first superposition of data of a test point selection need the oscillogram inquired to include,

Show selected oscillogram histogram diagram, wherein histogram diagram abscissa be period and/or period ratio, Ordinate is the quantity for the similar waveform that corresponding abscissa occurs；

Show the scatter plot diagram of selected oscillogram, wherein scatter plot diagram, histogram diagram are synchronous with superposition of data aobvious It is shown in same graphic interface.

6. a kind of antialiasing stacking apparatus for electrocardiogram (ECG) data analysis, which is characterized in that including

Morphological template selecting module, for the morphological template that selection needs are inquired from morphological template library, wherein morphological template library In be stored with normal waveform template wave character combination and/or heart rate unusual waveforms template wave character combination；

Lead laminating module, the test point for selecting to need lead, according to selected test point and selected form All data during template combines wave character are fitted again, generate superposition of data fitting corresponding with selected test point Figure；

Superposition of data display module, for showing superposition of data fitted figure.

7. a kind of antialiasing stacking apparatus for electrocardiogram (ECG) data analysis according to claim 6, which is characterized in that

It is fitted laminating module, for selecting classification identical from wave character combination according to selected morphological template, and shape Multiple waveforms similar in shape are fitted again, generate preview superposition of data；Wherein, waveform similar in shape be fitting after degree of fitting most High waveform；

Display module, the oscillogram for showing preview superposition of data.

8. a kind of antialiasing stacking apparatus for electrocardiogram (ECG) data analysis according to claim 6, which is characterized in that superposition Data include the first superposition of data and the second superposition of data；

Virtual selecting module, for the waveform that selection needs are inquired from one of test point corresponding first superposition of data Figure；It is highlighted in corresponding second superposition of data of other test point simultaneously corresponding with selected oscillogram in the first superposition of data Oscillogram；And

Template set display module, for showing the selected corresponding template collective data of oscillogram for needing to inquire, template Collective data is the set for belonging to the similar waveform in same morphological template waveform.

9. a kind of antialiasing stacking apparatus for electrocardiogram (ECG) data analysis according to claim 8, which is characterized in that

Source database module, for showing corresponding waveform in source database module according to selected template collective data Figure.

10. a kind of antialiasing stacking apparatus for electrocardiogram (ECG) data analysis according to claim 8, which is characterized in that from Selection needs the oscillogram inquired to further include in corresponding first superposition of data of one of test point,

Histogram illustrated module, for showing that the histogram of selected oscillogram illustrates, the abscissa of histogram diagram schedules to last Between and/or period ratio, ordinate be corresponding abscissa occur similar waveform quantity；

Scatter plot illustrated module, for show selected oscillogram scatter plot illustrate, scatter plot diagram, histogram diagram and Superposition of data simultaneous display is in same graphic interface.