CN111150386A - Method, device and storage medium for electrocardio analysis - Google Patents
Method, device and storage medium for electrocardio analysis Download PDFInfo
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- CN111150386A CN111150386A CN201911394704.0A CN201911394704A CN111150386A CN 111150386 A CN111150386 A CN 111150386A CN 201911394704 A CN201911394704 A CN 201911394704A CN 111150386 A CN111150386 A CN 111150386A
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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
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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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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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
- A61B5/7445—Display arrangements, e.g. multiple display units
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/54—Browsing; Visualisation therefor
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
Abstract
The embodiment of the invention provides an electrocardio analysis method, which comprises the following steps: acquiring heart beat data in the electrocardio examination; modularly classifying the heartbeat data according to a set interval to form a first scatter diagram aiming at the heartbeat data, and displaying the first scatter diagram in a first display interface; modularly classifying the heartbeat data according to forms to form a first overlay map for the heartbeat data, and displaying the first overlay map in the first display interface; detecting the selection operation of a user on the center shot data in the first scatter diagram or the first overlay diagram; and respectively forming a second scatter diagram and a second overlay diagram from the heartbeat data selected by the user, and displaying the second scatter diagram and the second overlay diagram in a second display interface. The embodiment of the invention also provides an electrocardio analysis device and a storage medium.
Description
Technical Field
The invention relates to the field of electrocardiogram detection, in particular to an intelligent electrocardiogram analysis method, an intelligent electrocardiogram analysis device and a storage medium.
Background
The dynamic electrocardiographic examination is a clinical long-range electrocardiographic examination method, and a user needs to wear a dynamic electrocardiographic recorder for a long time and record electrocardiographic waveform information for more than 24 hours. The doctor uses the playback system to analyze the recorded long-range information, obtains the quantity of the types of the characteristic electrocardiographic waveforms and the like, and finally summarizes a diagnosis report. The method is widely applied to the study of arrhythmia analysis and heart rate variability analysis, and has great advantages in the aspects of diagnosing atrial flutter, atrial fibrillation, multi-source premature beat and the like.
Typically, within 24 hours, heart beats reach 10 tens of thousands. In the face of massive dynamic electrocardiogram data, the heartbeat is firstly classified into normal, indoor, supraventricular, artifact and other categories according to a certain rule by an algorithm carried by analysis software, but the automatic analysis algorithm has inherent defects, and the automatic analysis algorithm has more interference such as dynamic electrocardiogram artifact and the like, so that the heartbeat classification is difficult to be completely correct, and therefore, a doctor needs to manually correct an analysis result on the basis of automatic analysis to finish the correct analysis of 24-hour dynamic electrocardiogram.
For more than ten thousand heart beats which are automatically analyzed, various methods such as template classification, a scatter diagram, a histogram, an overlay map and the like are provided by software, so that doctors can quickly identify and correct the heart beats. The electrocardio-scattergram classifies heart beats in a modularization mode according to the relation of RR intervals of the heart beats, and has the advantage that the electrocardio-scattergram can be used for quickly analyzing a case with remarkable characteristics of the RR intervals. The overlay map is based on the morphology difference of the heart beat, and the heart beat is classified, which has the advantage that the case with significant difference of the heart beat morphology can be analyzed quickly. However, for some complex cases, when the judgment needs to be carried out by combining the RR intervals and the morphology at the same time, the existing software is difficult to have a quick solution.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a method and an apparatus for electrocardiographic analysis.
The invention provides an electrocardio analysis method, which comprises the following steps:
acquiring heart beat data in the electrocardio examination;
modularly classifying the heartbeat data according to a set interval to form a first scatter diagram aiming at the heartbeat data, and displaying the first scatter diagram in a first display interface;
modularly classifying the heartbeat data according to forms to form a first overlay map for the heartbeat data, and displaying the first overlay map in the first display interface;
detecting the selection operation of a user on the center shot data in the first scatter diagram or the first overlay diagram;
and respectively forming a second scatter diagram and a second overlay diagram from the heartbeat data selected by the user, and displaying the second scatter diagram and the second overlay diagram in a second display interface.
The embodiment of the present invention further provides an electrocardiographic analysis apparatus, including:
the acquisition module is used for acquiring heart beat data in the electrocardio examination;
the first analysis module is used for modularly classifying the heartbeat data according to a set interval to form a first scatter diagram aiming at the heartbeat data and displaying the first scatter diagram in a first display interface;
the second analysis module is used for modularly classifying the heartbeat data according to forms, forming a first overlay map for the heartbeat data and displaying the first overlay map in the first display interface;
the input module is used for detecting the selection operation of a user on the centering data in the first scatter diagram or the first overlay diagram;
and the processing module is used for respectively forming a second scatter diagram and a second overlay diagram from the heartbeat data selected by the user and displaying the second scatter diagram and the second overlay diagram in a second display interface.
An embodiment of the present invention further provides an electrocardiograph apparatus, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any one of the methods described above.
An embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program, where the computer program is configured to implement the steps of any one of the methods described above when executed by a processor.
The method, the device and the storage medium for analyzing the electrocardio can conveniently analyze the electrocardio.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 is a schematic illustration of an interface for electrocardiographic analysis provided by an embodiment of the present invention;
FIG. 2 is a schematic view of another interface for electrocardiographic analysis provided by an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method for analyzing ECG according to an embodiment of the present invention;
FIG. 4 is a schematic view of another interface for electrocardiographic analysis provided by an embodiment of the present invention;
FIG. 5 is a schematic flow chart of another method for analyzing ECG according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart of another method for analyzing ECG according to an embodiment of the present invention;
FIG. 7 is a schematic flow chart of another method for analyzing ECG according to an embodiment of the present invention;
FIG. 8 is a schematic flow chart of another method for analyzing ECG according to an embodiment of the present invention;
FIG. 9 is a schematic flow chart of another method for analyzing ECG according to an embodiment of the present invention;
FIG. 10 is a schematic flow chart of another method for analyzing ECG according to an embodiment of the present invention;
fig. 11 is a schematic block diagram of an electrocardiographic analysis device according to an embodiment of the present invention.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
The terms "first", "second", and the like in the embodiments of the present invention are only used for distinguishing related technical features, and do not indicate a sequence.
In order to explain the technical solutions of the embodiments of the present invention, the following description is given by way of specific examples.
The embodiment of the invention provides an electrocardio analysis method, which comprises the following specific implementation modes:
as shown in fig. 1 to 3, the electrocardiographic analysis method provided in the embodiment of the present invention specifically includes:
s110, heart beat data in the electrocardio examination is obtained.
The cardiac beat data of the embodiment of the invention can be particularly used for acquiring the electrocardiogram data of the monitored object by an electrocardiogram analyzer (or an electrocardiogram analyzing device) through electrocardiogram leads. Cardiac beat data is important data that reflects the changes in electrical activity produced by the patient's heart during each cardiac cycle.
In embodiments of the present invention, acquiring the heartbeat data of the patient may be for a period of time. For example, the time period may be one hour or 24 hours a day, and the embodiment of the present invention is not limited. An exemplary embodiment, such as an electrocardiograph, obtains electrocardiographic data for each heart beat of a patient over an hour.
S120, conducting modularization classification on the heart beat data according to a set interval, forming a first scatter diagram aiming at the heart beat data, and displaying the first scatter diagram in a first display interface.
In an exemplary embodiment, the cardiac analysis device may first classify the cardiac data into normal, ventricular, supraventricular, artifact, etc. categories according to a set rule.
A specific analysis mode is scatter diagram analysis, and specifically, RR intervals of two adjacent heartbeats are respectively used as an abscissa and an ordinate to be displayed in a two-dimensional coordinate system, so that a scatter diagram of all heartbeats can be displayed, and heartbeats can be divided into normal heartbeats, ventricular beats, supraventricular beats and the like according to an automatic classification result to be respectively displayed so as to accurately position and analyze the heartbeats.
S130, modularly classifying the heartbeat data according to forms, forming a first overlay map aiming at the heartbeat data, and displaying the first overlay map in the first display interface.
A specific implementation mode is overlay analysis, specifically, according to the principle of heart beat mapping, the display density of the selected heart beat at each coordinate point is calculated, and then different colors are given according to different densities, so that the purpose of morphological classification is achieved.
In the mode of the embodiment of the invention, the scatter diagram and the overlay are specifically arranged in one interface, as shown in fig. 1-2, the scatter diagram and the overlay are arranged in the same interface, so that a user (a doctor) can conveniently analyze the heartbeat data of a patient.
S140, the selection operation of the user on the center beat data in the first scatter diagram or the first overlay diagram is detected.
One specific embodiment is shown in fig. 5.
S210 detects a set shape drawn by the user in the first scattergram or the first overlay.
As shown in fig. 2, a user (e.g., a doctor) in an embodiment of the present invention may select corresponding heartbeat data in the first overlay map or the first scattergram by selecting a frame or other shape in the first interface.
S220, determining the heartbeat data in the set shape range as heartbeat data selected by the user.
As shown in fig. 4, a specific implementation manner of the embodiment of the present invention is that a user selects a certain range by frame, and data in the user's selection range is data selected by the user.
A particular embodiment may also include, as shown in particular in fig. 4:
s310, performing characteristic classification on the heart beat data in the set range.
The electrocardiogram analysis device can reclassify the heartbeat data framed by the user according to a set rule.
S320 detects a further selection operation of the different types of heartbeat data by the user.
One specific embodiment is:
and S410, marking the heart beat data with different characteristic classifications within a set shape range, wherein the marks are one or more of area marks, color marks and shape marks.
As shown in fig. 4, different data are classified by means of classification boxes.
S420 detects a further selection by the user of the heartbeat data corresponding to the marker.
The user may click on and select the corresponding sort box for further accurate selection.
S330, determining the heartbeat data further selected by the user as the heartbeat data selected by the user.
By the scheme of the embodiment of the invention, the superposition graph can be used for adjusting gain, walking speed and superposition leads, and can be used for framing and selecting certain heartbeats to participate or not to participate in integral superposition.
The method and the device can facilitate the user to accurately and quickly select the corresponding data.
In a specific embodiment, the electrocardiographic analysis method according to the embodiment of the present invention further includes:
s510, detecting the operation of modifying the heartbeat type aiming at the selected heartbeat data by the user.
The specific user can adjust the type of the selected heartbeat data through a shortcut key or a button.
S520, according to the modification operation of the user, the selected heart beat is modified into the corresponding heart beat type.
And after the user adjusts the heart beat data, reclassifying the modified heart beat data into the corresponding heart beat type.
In the scheme of the embodiment of the invention, for the selected heart beat of the overlay image, the heart beat can be cut into other window displays of the overlay image through shortcut keys (such as keys F1-F4) so as to screen out different types of heart beats, and the type of the heart beat can be modified by one key. In the scatter diagram, the selected heart beat can be cut to the corresponding overlay by F1-F4 keys.
S150, respectively forming a second scatter diagram and a second overlay diagram from the heartbeat data selected by the user, and displaying the second scatter diagram and the second overlay diagram in a second display interface.
And analyzing the new scatter diagram and the overlay diagram according to the data selected by the user, and setting the new overlay diagram and the new scatter diagram in one display interface. The first display interface and the second display interface of the embodiment of the invention can be the same display interface or different display interfaces.
For the selected heartbeat data, the RR interval scatter diagram and the superposed diagram are displayed on the same interface and can be operated simultaneously. The user can check the overlay map back through the scatter diagram, and can also check the scatter diagram back through the overlay map.
The method of the embodiment of the invention further comprises the following steps:
s610 detects a moving operation of the first overlay or the second overlay by the user.
And S620, displaying the heart beat form adjacent to the current heart beat according to the moving operation.
Specifically, the user may slide or drag the corresponding overlay in the interface by touch, so as to display the adjacent heartbeat form of the current heartbeat.
The electrocardio analysis method provided by the embodiment of the invention further comprises the following steps:
s710 detects a set shape drawn by the user in the first scattergram or the first overlay.
S720 acquires heartbeat data to be inserted by the user.
S730 determines the heartbeat data within the set shape range and the heartbeat data inserted by the user as heartbeat data selected by the user.
The user can insert new heartbeat data into the selected heartbeat data in batches, and the inserted heartbeat data and the data in the framing range are jointly determined as the heartbeat data selected by the user.
The embodiment of the present invention further provides an electrocardiographic analysis apparatus, including:
the acquisition module is used for acquiring heart beat data in the electrocardio examination;
the first analysis module is used for modularly classifying the heartbeat data according to a set interval to form a first scatter diagram aiming at the heartbeat data and displaying the first scatter diagram in a first display interface;
the second analysis module is used for modularly classifying the heartbeat data according to forms, forming a first overlay map for the heartbeat data and displaying the first overlay map in the first display interface;
the input module is used for detecting the selection operation of a user on the centering data in the first scatter diagram or the first overlay diagram;
and the processing module is used for respectively forming a second scatter diagram and a second overlay diagram from the heartbeat data selected by the user and displaying the second scatter diagram and the second overlay diagram in a second display interface.
For specific embodiments, reference is made to the above examples, which are not described herein again.
An embodiment of the present invention further provides an electrocardiograph apparatus, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method according to any one of the above embodiments.
An embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program, where the computer program is implemented to implement the steps of the method according to any one of the above methods when executed by a processor.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An electrocardiographic analysis method, comprising:
acquiring heart beat data in the electrocardio examination;
modularly classifying the heartbeat data according to a set interval to form a first scatter diagram aiming at the heartbeat data, and displaying the first scatter diagram in a first display interface;
modularly classifying the heartbeat data according to forms to form a first overlay map for the heartbeat data, and displaying the first overlay map in the first display interface;
detecting the selection operation of a user on the center shot data in the first scatter diagram or the first overlay diagram;
and respectively forming a second scatter diagram and a second overlay diagram from the heartbeat data selected by the user, and displaying the second scatter diagram and the second overlay diagram in a second display interface.
2. The electrocardiographic analysis method according to claim 1, wherein the operation of detecting the selection of the center beat data in the first scattergram or the first overlay by the user is specifically:
detecting a set shape drawn in the first scatter diagram or the first overlay by a user;
and determining the heartbeat data in the set shape range as heartbeat data selected by the user.
3. The electrocardiographic analysis method according to claim 2, wherein the determining of the heartbeat data in the set shape range as heartbeat data selected by the user includes:
classifying the characteristics of the heartbeat data in the set range;
detecting further selection operation of different types of heartbeat data by the user;
and determining the heartbeat data further selected by the user as the heartbeat data selected by the user.
4. The electrocardiographic analysis method according to claim 3 wherein said detecting further user selection of different types of heart beat data comprises:
marking the heart beat data classified by different characteristics within a set shape range, wherein the marks are one or more of area marks, color marks and shape marks;
further user selection of the heartbeat data corresponding to the marker is detected.
5. The electrocardiographic analysis method of claim 3, further comprising:
detecting a user operation of modifying a heartbeat type for the selected heartbeat data;
and modifying the selected heart beat into the corresponding heart beat type according to the modification operation of the user.
6. The electrocardiographic analysis method of claim 1, further comprising:
detecting a moving operation of a user on the first overlay or the second overlay;
and displaying the heart beat form adjacent to the current heart beat according to the moving operation.
7. The electrocardiographic analysis method according to claim 1, wherein the detecting operation of the user to select the center beat data in the first scattergram or the first overlay comprises:
detecting a set shape drawn in the first scatter diagram or the first overlay by a user;
acquiring heart beat data to be inserted by a user;
and determining the heartbeat data in the set shape range and the heartbeat data inserted by the user as heartbeat data selected by the user.
8. An electrocardiographic device, comprising:
the acquisition module is used for acquiring heart beat data in the electrocardio examination;
the first analysis module is used for modularly classifying the heartbeat data according to a set interval to form a first scatter diagram aiming at the heartbeat data and displaying the first scatter diagram in a first display interface;
the second analysis module is used for modularly classifying the heartbeat data according to forms, forming a first overlay map for the heartbeat data and displaying the first overlay map in the first display interface;
the input module is used for detecting the selection operation of a user on the centering data in the first scatter diagram or the first overlay diagram;
and the processing module is used for respectively forming a second scatter diagram and a second overlay diagram from the heartbeat data selected by the user and displaying the second scatter diagram and the second overlay diagram in a second display interface.
9. An apparatus for electrocardiography comprising a memory, a processor and a computer program stored in said memory and executable on said processor, wherein the steps of the method according to any one of claims 1 to 7 are carried out when said computer program is executed by said processor.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112353400A (en) * | 2020-10-26 | 2021-02-12 | 武汉联影智融医疗科技有限公司 | Heart beat classification method and device, computer equipment and storage medium |
| CN112842342A (en) * | 2021-01-25 | 2021-05-28 | 北京航空航天大学 | Electrocardiogram and magnetic signal classification method combining Hilbert curve and integrated learning |
| CN113712525A (en) * | 2020-05-21 | 2021-11-30 | 深圳市理邦精密仪器股份有限公司 | Physiological parameter processing method and device and medical equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090054743A1 (en) * | 2005-03-02 | 2009-02-26 | Donald-Bane Stewart | Trending Display of Patient Wellness |
| CN108478214A (en) * | 2018-01-29 | 2018-09-04 | 成都琅瑞医疗技术股份有限公司 | A kind of antialiasing stacking method and device for electrocardiogram (ECG) data analysis |
| CN109171704A (en) * | 2018-09-19 | 2019-01-11 | 深圳市理邦精密仪器股份有限公司 | Method, apparatus, terminal and the computer readable storage medium of ecg wave form analysis |
| CN110448295A (en) * | 2019-07-05 | 2019-11-15 | 深圳邦健生物医疗设备股份有限公司 | Ecg wave form editor display methods, device and computer equipment |
| CN110464333A (en) * | 2019-07-23 | 2019-11-19 | 深圳邦健生物医疗设备股份有限公司 | A kind of storage method and device of ECG data |
-
2019
- 2019-12-30 CN CN201911394704.0A patent/CN111150386A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090054743A1 (en) * | 2005-03-02 | 2009-02-26 | Donald-Bane Stewart | Trending Display of Patient Wellness |
| CN108478214A (en) * | 2018-01-29 | 2018-09-04 | 成都琅瑞医疗技术股份有限公司 | A kind of antialiasing stacking method and device for electrocardiogram (ECG) data analysis |
| CN109171704A (en) * | 2018-09-19 | 2019-01-11 | 深圳市理邦精密仪器股份有限公司 | Method, apparatus, terminal and the computer readable storage medium of ecg wave form analysis |
| CN110448295A (en) * | 2019-07-05 | 2019-11-15 | 深圳邦健生物医疗设备股份有限公司 | Ecg wave form editor display methods, device and computer equipment |
| CN110464333A (en) * | 2019-07-23 | 2019-11-19 | 深圳邦健生物医疗设备股份有限公司 | A kind of storage method and device of ECG data |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113712525A (en) * | 2020-05-21 | 2021-11-30 | 深圳市理邦精密仪器股份有限公司 | Physiological parameter processing method and device and medical equipment |
| CN112353400A (en) * | 2020-10-26 | 2021-02-12 | 武汉联影智融医疗科技有限公司 | Heart beat classification method and device, computer equipment and storage medium |
| CN112842342A (en) * | 2021-01-25 | 2021-05-28 | 北京航空航天大学 | Electrocardiogram and magnetic signal classification method combining Hilbert curve and integrated learning |
| CN112842342B (en) * | 2021-01-25 | 2022-03-29 | 北京航空航天大学 | Electrocardiogram and magnetic signal classification method combining Hilbert curve and integrated learning |
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