CN108478214B - Anti-confusion superposition method and device for electrocardiogram data analysis - Google Patents
Anti-confusion superposition method and device for electrocardiogram data analysis Download PDFInfo
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- 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
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- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
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- A—HUMAN NECESSITIES
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- 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
- A61B5/7235—Details of waveform analysis
Abstract
The invention relates to a medical electrocardiogram data analysis technology, in particular to an anti-confusion superposition method and device for electrocardiogram data analysis. An anti-aliasing superposition method for electrocardiogram data analysis comprises the following steps: selecting a form template to be inquired from a form template library, wherein the form template library stores waveform feature combinations of normal waveform templates and/or waveform feature combinations of abnormal heart rate waveform templates; selecting a plurality of waveforms which have the same category and are similar in shape from the waveform feature combination according to the selected morphological template, and re-fitting to generate preview superposition data; wherein, the waveforms with similar shapes are the waveforms with the highest fitting degree after fitting; and displaying a waveform diagram of the preview overlay data. The electrocardiogram oscillogram is quickly searched by an anti-confusion superposition method, and the efficiency of manual searching is greatly improved.
Description
Technical Field
The invention belongs to the technical field of data analysis, relates to a medical centrograph data analysis technology, and particularly relates to an anti-confusion superposition method and device for electrocardio data analysis.
Background
An electrocardiogram (ECG or EKG) is a graph of the numbering of electrical activity produced by recording each cardiac cycle of the heart from the body surface using an electrocardiographic device. The electrocardiogram is recorded with a voltage year time-numbered curve, and is usually recorded on a graph paper, which is usually composed of small grids 1mm wide and 1mm high. The abscissa represents time and the ordinate represents voltage.
The electrocardiogram is one of the most common clinical tests and is widely applied. The application range comprises: 1. recording the point activity of the normal heart of the human body; 2. help diagnose cardiac arrhythmias; 3. help to diagnose myocardial ischemia, myocardial infarction, judge the position of myocardial infarction; 4. diagnosing enlargement and hypertrophy of the heart; 5. determining the effect of the drug or electrolyte condition on the heart; 6. and judging the artificial cardiac pacing condition and the like.
Because the electrocardiogram is used as an important basis for judging and analyzing the illness state of the patient, the electrocardiogram has important significance in medicine. In order to obtain electrocardiographic data with a high reference value, it is generally necessary to continuously detect electrocardiographic data of a subject (patient), and the reaction (information) of the result includes the presence of a signal abnormality in mass data, a gap between signals, and a signal distribution in a statistical sense. For the extraction of the signals, a large amount of data needs to be analyzed and compared, and a statistical method is adopted.
The traditional electrocardiogram analysis system/tool mainly performs recognition analysis on an electrocardiogram by means of computer image recognition, data analysis and other technical means, sets an extraction method of information (such as characteristic signal information, statistical information and the like) to be extracted as a tool template, and a user (doctor) can obtain a corresponding result by calling the tool so as to judge the state of illness of an object (patient) according to the result.
The core of the existing electrocardiogram data analysis system is based on a computer program, and the tool classification and operation habit 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 electrocardiogram, the existing system does not refer to the habit and the flow of meaning operation, so that each software work needs to be switched and called back and forth in the operation process, the software use threshold is increased, and the universality of the system is reduced.
In the above analysis process, the following problems are also generally unavoidable: 1. the system inevitably has misjudgment when identifying the electrocardiogram, and at the moment, the judgment result of the system needs to be inquired and corrected, and the basis of the correction is the original electrocardiogram; 2. the corresponding misjudged electrocardiograms need to be found in a large amount of original data, and the corresponding misjudged electrocardiograms need to be carried out by special workers, so that the workload is quite large; and also affects the diagnosis time of the doctor.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an anti-aliasing superposition method for electrocardiographic data analysis, which realizes fast search of electrocardiographic oscillogram during electrocardiographic data analysis and improves the efficiency of manual search.
The invention also aims to provide an anti-confusion superposition device for electrocardio data analysis, which realizes the rapid diagnosis of an electrocardiogram oscillogram in the electrocardio data analysis process.
In order to realize the technical purpose, the scheme of the invention is as follows:
an anti-confusion superposition method for electrocardio data analysis comprises
Selecting a form template to be inquired from a form template library, wherein the form template library stores waveform feature combinations of normal waveform templates and/or waveform feature combinations of abnormal heart rate waveform templates;
selecting a detection point needing lead, re-fitting all waveforms in the waveform feature combination according to the selected detection point and the selected form template, and generating a superimposed data fitting graph corresponding to the selected detection point;
and displaying a fitting graph of the superimposed data.
Further, selecting a plurality of waveforms with the same category and similar shapes from the waveform feature combination according to the selected form template to be re-fitted, and generating preview superposition data; wherein, the waveforms with similar shapes are the waveforms with the highest fitting degree after fitting;
and displaying a waveform diagram of the preview overlay data.
Further, the superimposed data includes first superimposed data and second superimposed data;
selecting a waveform diagram to be queried from the first superposed data corresponding to one of the detection points;
simultaneously highlighting a oscillogram corresponding to the selected oscillogram in the first superposed data in the second superposed data corresponding to the other detection points; and
and displaying template set data corresponding to the selected waveform graph to be inquired, wherein the template set data belongs to a set of similar waveforms in the same form template.
Further, the template set data is selected and the corresponding oscillogram is displayed in the source database.
Further, selecting the oscillogram to be queried from the first overlay data corresponding to one of the detection points includes,
displaying a histogram representation of the selected waveform map, wherein the abscissa of the histogram representation is the period and/or period ratio and the ordinate is the number of similar waveforms appearing on the corresponding abscissa;
and displaying a scatter diagram illustration of the selected oscillogram, wherein the scatter diagram illustration, the histogram illustration and the overlay data are synchronously displayed on the same image interface.
An anti-confusion superposition device for electrocardio data analysis comprises
The form template selection module is used for selecting a form template to be inquired from a form template library, wherein the form template library stores a waveform feature combination of a normal waveform template and/or a waveform feature combination of an abnormal heart rate waveform template;
the lead superposition module is used for selecting the detection points needing lead, re-fitting all data in the waveform feature combination according to the selected detection points and the selected form template, and generating a superposition data fitting graph corresponding to the selected detection points;
and the superimposed data display module is used for displaying the superimposed data fitting graph.
Further, the fitting and stacking module is used for selecting a plurality of waveforms which have the same category and are similar in shape from the waveform feature combination according to the selected form template to re-fit, and generating preview and stacking data; wherein, the waveforms with similar shapes are the waveforms with the highest fitting degree after fitting;
and the display module is used for displaying the oscillogram of the preview superposed data.
Further, the superimposed data includes first superimposed data and second superimposed data;
the virtual selection module is used for selecting a oscillogram to be inquired from the first superposed data corresponding to one of the detection points; simultaneously highlighting a oscillogram corresponding to the selected oscillogram in the first superposed data in the second superposed data corresponding to the other detection points; and
and the template set display module is used for displaying template set data corresponding to the selected waveform diagram to be inquired, wherein the template set data is a set of similar waveforms in the same form of template waveforms.
Further, the source database module is configured to display a corresponding waveform diagram in the source database module according to the selected template set data.
Further, selecting the oscillogram to be queried from the first overlay data corresponding to one of the detection points further comprises,
a histogram illustration module for displaying a histogram illustration of the selected waveform diagram, an abscissa of the histogram illustration being a period and/or a period ratio, and an ordinate being a number of similar waveforms appearing on the corresponding abscissa;
and the scatter diagram graphic module is used for displaying the scatter diagram graphic of the selected oscillogram, and the scatter diagram graphic, the histogram graphic and the superimposed data are synchronously displayed on the same image interface.
Compared with the prior art, the invention provides an anti-confusion superposition method and device for electrocardio data analysis, wherein the anti-confusion superposition method for electrocardio data analysis comprises the following steps: selecting a form template to be inquired from a form template library, wherein the form template library stores waveform feature combinations of normal waveform templates and/or waveform feature combinations of abnormal heart rate waveform templates; selecting a plurality of waveforms which have the same category and are similar in shape from the waveform feature combination according to the selected morphological template, and re-fitting to generate preview superposition data; wherein, the waveforms with similar shapes are the waveforms with the highest fitting degree after fitting; and displaying a waveform diagram of the preview overlay data. The electrocardiogram oscillogram can be quickly searched in the electrocardio data analysis process, and the manual searching efficiency is greatly improved.
Drawings
FIG. 1 is a main flow chart of an anti-aliasing superposition method for electrocardiogram data analysis according to the present invention;
FIG. 2 is a flowchart illustrating an overall process of an anti-aliasing superposition method for electrocardiogram data analysis according to the present invention;
FIG. 3 is a block diagram of an anti-aliasing and stacking apparatus for ECG data analysis according to the present invention;
FIG. 4 is a schematic representation of an anti-aliasing overlay device for electrocardiographic data analysis according to the present invention;
FIG. 5 is a region division and plot diagram of an anti-aliasing superposition device for electrocardiogram data analysis according to the present invention.
Fig. 6 is a diagram showing a superimposed data display module in the anti-aliasing superimposing apparatus for electrocardiographic data analysis according to the present invention.
Description of reference numerals:
210. the method comprises a morphological template selection module, 220 a fitting superposition module, 230 a display module, 240 a lead superposition module, 250 a superposition data display module, 251 a virtual selection module, 252 a first superposition data, 253 a second superposition data, 254 a highlighted waveform, 260 a template set display module, 270 a scatter diagram illustration module, 280 a histogram illustration module, 290 a source database module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to fig. 1 to 6 and the detailed description of the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 and 2, an anti-aliasing superposition method for electrocardiographic data analysis includes the following steps:
step S110: the method comprises the steps of selecting a form template to be inquired from a form template library, wherein a form template selection module can store waveform feature combinations of normal waveform templates, can also store waveform feature combinations of abnormal heart rate waveform templates, and can also store the waveform feature combinations of the normal waveform templates and the waveform feature combinations of the abnormal heart rate waveform templates at the same time, and the waveform feature combinations comprise a set of waveforms with similar features or a set of various waveforms (various features) meeting certain specific conditions (such as atrial premature beat).
Step S130: and re-fitting all the data in the waveform feature combination according to the selected detection points and the selected morphological template to generate the superposition data corresponding to the selected detection points. Wherein, the detection point also contains mapping relation with the source database and/or the form template data. The user (doctor) can judge which detection points cause the preview superposition data inconsistent with the form template through the clinical experience of the user (doctor), so that the user (doctor) selects the detection points needing leads.
Step S131: and displaying a waveform diagram of the superimposed data.
Preferably, step S120 is further included before step S130. Step S120: and selecting a plurality of waveforms which have the same category and are similar in shape from the waveform feature combination according to the selected form template, and fitting again to generate preview stacked data, wherein the waveforms which are similar in shape are the waveforms with the highest fitting degree after fitting. The preview stacking data is the fitting of a plurality of waveforms which have the same category and are similar in shape, or the preview stacking data is the fitting of waveforms which have the same category and are similar in shape.
Preferably, step S121 is further included after step S120. Step S121: and displaying the preview superposed data. Namely, whether the waveform image of the preview overlay data is consistent with the waveform in the form template or which differences exist is displayed, so that a user (doctor) is helped to use the preview overlay data as a preliminary diagnosis basis.
Preferably, step S140 is further included after step S131. Step S140: and selecting a waveform diagram to be inquired from the first superposed data corresponding to one of the detection points, and highlighting the waveform diagram corresponding to the selected waveform diagram in the first superposed data in the second superposed data corresponding to the other detection point. And displaying template set data corresponding to the selected oscillogram to be queried, wherein the template set data belong to a set of similar waveforms in a template with the same shape, a mapping relation can be included between the first superposed data and the second superposed data, and the corresponding relation between the data can be established through the mapping relation, and the corresponding waveforms in the second superposed data can be highlighted through selecting the waveforms in the first superposed data. The correspondence relationship between the first overlay data and the second overlay data in this embodiment may include, but is not limited to, correspondence according to a time relationship, and the selection manner includes, but is not limited to, frame selection. The highlighting in this embodiment is to deepen the waveform diagram selected in the first overlay data and the waveform diagram corresponding to the second overlay data, and the highlighting may be: the corresponding waveform in the second overlay data is displayed brighter, the waveform line is displayed thicker, or enlarged, and the highlighting mode in this embodiment is the waveform line is displayed thicker.
The overlay data may include first overlay data and second overlay data, wherein a corresponding waveform may be highlighted in the second overlay data by selecting the waveform in the first overlay data.
Preferably, step S141 is further included after step S140. Step S141: and displaying the histogram graph of the selected oscillogram, wherein the histogram graph and the source database can also contain mapping relation, and the corresponding relation between the data established by mapping can be observed at the corresponding position on the electrocardiogram in the source database after clicking the corresponding histogram. That is, with the existence of the above mapping relationship, when the user performs operations including but not limited to clicking operations on the histogram, the location of the original electrocardiogram data corresponding to the histogram on the original electrocardiogram is represented by, but not limited to, a line with background distinguishing colors. The abscissa of the histogram plot may be the period, the period ratio, and the period and 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: and displaying a scatter diagram illustration of the selected waveform diagram, wherein the scatter diagram illustration and the superposition data can also contain a mapping relation. That is, a waveform map is selected in the first overlay data and/or the second overlay data, and the selected waveform map is displayed by a scatter in the scatter diagram representation.
As a further preferred, the scatter diagram illustration, the histogram illustration, the template set, the source database, the first overlay data and/or the second overlay data may be displayed simultaneously on the same graphical interface.
Preferably, step S150 is further included after step S140. Step S150: if a user (doctor) wants to view waveforms in the source database corresponding to the first superimposed data and/or the second superimposed data, the user (doctor) may select the selected template set data in the template set and display a corresponding waveform diagram in the source database. Wherein the template set and the source database contain mapping relations. Or selecting a waveform diagram to be queried in the first superimposed data and/or the second superimposed data according to the mapping relationship between the first superimposed data and/or the second superimposed data and the source database, and displaying a corresponding waveform in the source database. The correspondence relationship in this embodiment includes, but is not limited to, correspondence of time.
Referring to fig. 3-5, an anti-aliasing and stacking apparatus for electrocardiographic data analysis includes a form template selection module 210, a lead stacking module 240, a stacked data display module 250, a fitting and stacking module 220, a display module 230, a virtual selection module 251, a template set display module 260, a source database module 290, a histogram illustration module 280, and a scatter diagram illustration module 270.
The form template selecting module 210 is configured to select a form template to be queried from a form template library, where a waveform feature combination of a normal waveform template and/or a waveform feature combination of an abnormal heart rate waveform template are stored in the form template library.
And a lead superposition module 240, configured to select a detection point requiring a lead, and re-fit all data in the waveform feature combination according to the selected detection point and the selected morphology template to generate superposition data corresponding to the selected detection point. Wherein the lead superposition module 240 and the morphology template selection module 120 contain a mapping relationship therebetween.
And a superimposed data display module 250 for displaying the superimposed data, wherein the lead superimposing module 240 transmits the superimposed data to the superimposed data display module 250 to display the superimposed data.
Preferably, the fitting and stacking module 220 is configured to select a plurality of waveforms with the same category and similar shapes from the waveform feature combinations according to the selected morphological template to re-fit, so as to generate preview and stack data; wherein, the waveforms with similar shapes are the waveforms with the highest fitting degree after fitting.
And a display module 230, configured to display a waveform diagram of the preview overlay data. The fitting overlap-add module 220 sends the preview overlap-add data to the display module 230 for display.
As further preferred, the system also comprises a query editing module and a tag library module, wherein the query editing module is used for querying and/or revising the statistical result of the fitting and overlaying module; the label library module is used for providing a label library for the query editing module to revise the shape and form set data, wherein N represents a normal waveform, S represents atrial premature beat, V represents ventricular premature beat and the like.
Referring to fig. 6, the overlay data preferably includes first overlay data 252 and second overlay data 253.
A virtual selection module 251, configured to select a waveform image to be queried from the first overlay data 252 corresponding to one of the detection points; meanwhile, the waveform corresponding to the waveform selected in the first overlay data 252 is highlighted in the second overlay data 253 corresponding to the other detection point, that is, the highlighted waveform 254. The first overlay data 252 and the second overlay data 253 include a mapping relationship, and the mapping relationship is used to establish a correspondence relationship between the data, so that a corresponding waveform can be highlighted in the second overlay data 253 by selecting the waveform in the first overlay data 252.
Preferably, the template set displaying module 260 is configured to display template set data corresponding to the selected waveform diagram to be queried, where the template set data is a set of similar waveforms belonging to the same form of template waveform. The template set display module 260 includes a mapping relationship with the first overlay data 252, the template set display module 260 includes a mapping relationship with the second overlay data 253, the template set data corresponding to the waveform is displayed in the template set display module 260 by selecting the waveform to be searched in the first overlay data 252, and the template set data corresponding to the waveform is displayed in the template set display module 260 by selecting the waveform to be searched in the second overlay data 253.
Preferably, the source database module 290 is configured to display a corresponding waveform diagram in the source database module 290 according to the selected template set data. The source database module 290 and the template set display module 260 have a mapping relationship therebetween, the source database module 290 and the first overlay data 252 have a mapping relationship therebetween, the source database module 290 and the second overlay data 253 have a mapping relationship therebetween, the template set data is selected from the set display module 260 to display a corresponding waveform in the source database module 290, and the waveform to be searched is selected from the first overlay data 252 or the second overlay data 253 to display a corresponding waveform in the source database module 290.
Preferably, the selecting the oscillogram to be queried from the first overlay data 252 corresponding to one of the detection points further includes:
a histogram illustration module 280 for displaying a histogram illustration of the selected waveform plot, the abscissa of the histogram illustration being the period and/or period ratio and the ordinate being the number of similar waveforms appearing on the corresponding abscissa. The histogram illustration module 280 includes a mapping relationship with the first overlay data 252 and the second overlay data 253, and a histogram corresponding to a selected waveform is displayed on the histogram illustration module 280 by selecting the waveform to be searched in the first overlay data 252 or the second overlay data 253.
And a scatter diagram illustration module 270 for displaying a scatter diagram illustration of the selected waveform diagram, wherein the scatter diagram illustration, the histogram illustration and the first overlay data 252 and the second overlay data 253 are synchronously displayed on the same image interface. The scatter diagram illustration module 270 includes a mapping relationship with the first overlay data 252 and the second overlay data 253, and selects a waveform to be searched from the first overlay data 252 or the second overlay data 253, and displays a scatter diagram corresponding to the selected waveform in the scatter diagram illustration module 270.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). 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 shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, an electronic device, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the description of the embodiments of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
Finally, it should be noted that: the above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (6)
1. An anti-confusion superposition method for electrocardio data analysis is characterized by comprising
Selecting a form template to be inquired from a form template library, wherein the form template library stores waveform feature combinations of normal waveform templates and/or waveform feature combinations of abnormal heart rate waveform templates;
selecting a plurality of waveforms with the same category and similar shapes from the waveform feature combination according to the selected morphological template to be refitted, and generating preview superposition data; wherein, the waveforms with similar shapes are the waveforms with the highest fitting degree after fitting;
displaying a waveform diagram of the preview overlay data;
judging that a detection point corresponding to preview superposition data inconsistent with the form template exists by a user according to clinical experience, selecting the detection point, re-fitting all waveforms in the waveform feature combination according to the selected detection point and the selected form template, and generating a superposition data fitting graph corresponding to the selected detection point, wherein the detection point and the form template data further contain a mapping relation;
displaying a fitting graph of the superimposed data;
the superimposed data includes first superimposed data and second superimposed data;
selecting a waveform diagram to be queried from the first superposed data corresponding to one of the detection points;
simultaneously highlighting a oscillogram corresponding to the selected oscillogram in the first superposed data in the second superposed data corresponding to the other detection points; and
and displaying template set data corresponding to the waveform graph to be inquired, wherein the template set data belongs to a set of similar waveforms in the same form template.
2. The method of claim 1, wherein the step of performing the anti-aliasing superposition on the electrocardiographic data comprises the steps of,
selecting the template set data and displaying the corresponding oscillogram in the source database.
3. The method of claim 1, wherein selecting the waveform image to be searched from the first overlay data corresponding to one of the detection points comprises,
displaying a histogram representation of the selected waveform map, wherein the abscissa of the histogram representation is the period and/or period ratio and the ordinate is the number of similar waveforms appearing on the corresponding abscissa;
and displaying a scatter diagram illustration of the selected oscillogram, wherein the scatter diagram illustration, the histogram illustration and the overlay data are synchronously displayed on the same image interface.
4. An anti-confusion superposition device for electrocardio data analysis is characterized by comprising
The form template selection module is used for selecting a form template to be inquired from a form template library, wherein the form template library stores a waveform feature combination of a normal waveform template and/or a waveform feature combination of an abnormal heart rate waveform template;
the fitting and stacking module is used for selecting a plurality of waveforms which have the same category and are similar in shape from the waveform feature combination according to the selected form template to be re-fitted to generate preview and stacking data; wherein, the waveforms with similar shapes are the waveforms with the highest fitting degree after fitting;
the display module is used for displaying a oscillogram for previewing the superposed data;
the lead superposition module is used for selecting the detection points needing lead, re-fitting all data in the waveform feature combination according to the selected detection points and the selected form template, and generating a superposition data fitting graph corresponding to the selected detection points;
the superimposed data display module is used for displaying a superimposed data fitting graph;
the superimposed data includes first superimposed data and second superimposed data;
the virtual selection module is used for selecting a oscillogram to be inquired from the first superposed data corresponding to one of the detection points; simultaneously highlighting a oscillogram corresponding to the selected oscillogram in the first superposed data in the second superposed data corresponding to the other detection points; and
and the template set display module is used for displaying template set data corresponding to the selected waveform diagram to be inquired, wherein the template set data is a set of similar waveforms in the same form of template waveforms.
5. The anti-aliasing superposition device for electrocardiogram data analysis according to claim 4,
and the source database module is used for displaying the corresponding oscillogram in the source database module according to the selected template set data.
6. The apparatus according to claim 5, wherein the step of selecting the waveform pattern to be searched from the first overlay data corresponding to one of the detection points further comprises,
a histogram illustration module for displaying a histogram illustration of the selected waveform diagram, an abscissa of the histogram illustration being a period and/or a period ratio, and an ordinate being a number of similar waveforms appearing on the corresponding abscissa;
and the scatter diagram graphic module is used for displaying the scatter diagram graphic of the selected oscillogram, and the scatter diagram graphic, the histogram graphic and the superimposed data are synchronously displayed on the same image interface.
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