CN117814809B - Atrial tachycardia event batch identification method, terminal equipment and medium - Google Patents
Atrial tachycardia event batch identification method, terminal equipment and medium Download PDFInfo
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- 206010003668 atrial tachycardia Diseases 0.000 title claims abstract description 45
- 238000000034 method Methods 0.000 title claims abstract description 30
- 230000001746 atrial effect Effects 0.000 claims abstract description 22
- 208000000418 Premature Cardiac Complexes Diseases 0.000 claims abstract description 18
- 230000002776 aggregation Effects 0.000 claims abstract description 4
- 238000004220 aggregation Methods 0.000 claims abstract description 4
- 239000013598 vector Substances 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 19
- 238000004364 calculation method Methods 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 6
- 239000003086 colorant Substances 0.000 claims description 3
- 230000001447 compensatory effect Effects 0.000 abstract description 4
- 230000002028 premature Effects 0.000 description 5
- 206010003658 Atrial Fibrillation Diseases 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 206010003130 Arrhythmia supraventricular Diseases 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 206010015856 Extrasystoles Diseases 0.000 description 1
- 206010042600 Supraventricular arrhythmias Diseases 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 210000003403 autonomic nervous system Anatomy 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 238000002565 electrocardiography Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001314 paroxysmal effect Effects 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
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Abstract
The invention relates to a batch identification method, terminal equipment and medium for atrial tachycardia events, wherein the method comprises the following steps: extracting all suspected atrial tachycardia events in the electrocardiogram data; constructing a first coordinate system in a way that the pre-interval of the first atrial premature beat and the compensatory interval of the last atrial premature beat are respectively used as values of two coordinate axes in the two-dimensional coordinate system; constructing a second coordinate system by taking the value of any two of the average heart rate, heart rate variability and RR interval structural index as the value of two coordinate axes in the two-dimensional coordinate system; filling all events to the corresponding coordinates of the two coordinate systems; classifying all events based on the aggregation condition of points in a coordinate system; based on the classification results, a determination result of whether one of the events in each category belongs to atrial tachycardia is taken as a determination result of all the events in the category. The method and the device can be used for rapidly processing suspected atrial tachycardia events in batches, and improve the working efficiency.
Description
Technical Field
The invention relates to the field of electrocardiogram analysis, in particular to an atrial tachycardia event batch identification method, terminal equipment and medium.
Background
In the daily dynamic electrocardiogram diagnosis and analysis working process, the software can pre-analyze the electrocardiographic data, and a doctor can continue diagnosis based on the pre-analysis result. The current treatment of atrial arrhythmias in dynamic electrocardiography is a relatively time-consuming and labor-consuming task for the diagnostician.
Atrial tachycardia refers to rapid atrial activation of 3 or more consecutive events, which occurs at a frequency of 120-220 beats/minute, and is represented by 3 or more consecutive atrial premature beats (S) on an electrocardiogram. Atrial tachycardia is a common atrial arrhythmia event, and the event is paroxysmal and can last for seconds, minutes or hours, so that the work efficiency of a diagnostician can be greatly improved by providing a method capable of processing the atrial tachycardia event in batches and quickly and conveniently.
Disclosure of Invention
In order to solve the problems, the invention provides an atrial tachycardia event batch identification method, terminal equipment and medium.
The specific scheme is as follows:
a method for identifying atrial tachycardia events in batches comprises the following steps:
s1: extracting all suspected atrial tachycardia events in the electrocardiogram data;
s2: calculating the values of the front interval of the first atrial premature beat and the compensation interval of the last atrial premature beat of each event, constructing a first coordinate system in a mode that the front interval of the first atrial premature beat and the compensation interval of the last atrial premature beat are respectively used as the values of two coordinate axes in a two-dimensional coordinate system, and filling all the events into the corresponding coordinates of the first coordinate system;
S3: for each event, calculating the value of any two of the average heart rate, heart rate variability and RR interval structural index, constructing a second coordinate system in a mode that any two of the calculated values are used as the values of two coordinate axes in a two-dimensional coordinate system, and filling all the events into the corresponding coordinates of the second coordinate system;
s4: classifying all the events based on the aggregation condition of the points corresponding to each event in the results filled by the first coordinate system and the second coordinate system;
s5: based on the classification results, a determination result of whether one of the events in each category belongs to atrial tachycardia is taken as a determination result of all the events in the category.
Further, the calculation formula of the heart rate variability is:
Wherein, RMSSD represents heart rate variability, And/>Respectively representing the ith RR interval and the (i+1) th RR interval corresponding to the time-ordered RR intervals of the electrocardiographic data corresponding to the events, i represents the sequence number of the RR interval, and n represents the total number of the RR intervals.
Further, the calculation process of the RR interval structural index comprises the following steps:
S101: based on the electrocardiographic data corresponding to the event, all RR intervals corresponding to the event are sequenced according to time to obtain RR interval time sequence X= [ RR 1,RR2,RR3······RRn ], wherein RR i represents the ith RR interval, i epsilon [1, n ], and n represents the total number of RR intervals;
S102: constructing a vector set Y={Y1(m)= (RR1, …,RRm),Y2(m)= (RR2, …,RRm+1),… ,Yn-m+1(m)= (RRn-m+1, …,RRn)}, based on the RR interval time series X, wherein Y 1(m)、Y2(m) ,… , Yn-m+1 (m) each represents a vector subset, and m represents the number of elements constituting the vector subset;
S103: calculating the average value D (m) of the distances between any two vector subsets in the vector set Y;
s104: calculating structural index of event based on distance mean D (m) ：
Where M represents a preset maximum number of elements making up the subset of vectors.
Further, step S5 further includes: based on the classification result, the points corresponding to one kind of event are displayed in the same color in the coordinate system, and the points corresponding to different kinds of event are displayed in different colors in the coordinate system.
Further, different sizes are set for corresponding points of each event in the coordinate system based on the duration of the event.
The terminal equipment for identifying atrial tachycardia events in batches comprises a processor, a memory and a computer program which is stored in the memory and can run on the processor, wherein the steps of the method according to the embodiment of the invention are realized when the processor executes the computer program.
A computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method described above for embodiments of the present invention.
By adopting the technical scheme, the suspected atrial tachycardia events can be processed in batches and rapidly, and the working efficiency of medical staff is improved.
Drawings
FIG. 1 is a flow chart of a method according to an embodiment of the invention.
Fig. 2 is a schematic diagram of a first coordinate system in this embodiment.
Fig. 3 is a schematic diagram of a second coordinate system in this embodiment.
Fig. 4 is a schematic diagram of the overall display interface in this embodiment.
Detailed Description
For further illustration of the various embodiments, the invention is provided with the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments and together with the description, serve to explain the principles of the embodiments. With reference to these matters, one of ordinary skill in the art will understand other possible embodiments and advantages of the present invention.
The invention will now be further described with reference to the drawings and detailed description.
Embodiment one:
the embodiment of the invention provides a method for identifying atrial tachycardia events in batches, which is shown in fig. 1 and comprises the following steps:
S1: all suspected atrial tachycardia events in the electrocardiogram data are extracted.
The suspected atrial tachycardia events are all events that may be atrial tachycardia that need to be identified by further analysis through the steps described below. In this embodiment, the suspected atrial tachycardia events are manually screened by buttons for locating the head and tail of the event.
S2: for each event, calculating the values of the front interval of the first atrial premature beat and the compensation interval of the last atrial premature beat, constructing a first coordinate system in a mode that the front interval of the first atrial premature beat and the compensation interval of the last atrial premature beat are respectively used as the values of two coordinate axes in a two-dimensional coordinate system, and filling all the events into the corresponding coordinates of the first coordinate system.
The interval refers to the time interval between the current heart beat and the last heart beat, in milliseconds.
The compensatory interval refers to the reformation of the heart rhythm during the premature contraction of the premature beat, so that compensatory gaps occur in milliseconds.
The first coordinate system constructed in this embodiment is shown in fig. 2, in which the abscissa is the pre-interval of the first atrial premature beat and the ordinate is the compensatory interval of the last atrial premature beat.
S3: for each event, calculating the value of any two of the average heart rate, heart rate variability and RR interval structural index, constructing a second coordinate system in a mode that the calculated any two are taken as the values of two coordinate axes in a two-dimensional coordinate system, and filling all the events into the corresponding coordinates of the second coordinate system.
Average heart rate refers to the number of beats per minute during an atrial tachycardia episode in beats per minute.
Heart rate variability refers to the degree of variability in heart rate between different points in time, reflecting the ability of the autonomic nervous system to control the heart. The calculation formula of the centrality rate variation degree in this embodiment is:
Wherein, RMSSD represents heart rate variability, And/>Respectively representing the ith RR interval and the (i+1) th RR interval which are corresponding to the RR intervals of the electrocardiographic data corresponding to the events after the events are sequenced according to time, i represents the sequence number of the RR intervals, i epsilon [1, n ], and n represents the total number of the RR intervals.
Atrial tachycardia is easily confused with atrial fibrillation, premature atrial bivalve, premature atrial tri-rhythm, and other supraventricular arrhythmias in dynamic electrocardiographic diagnosis. From the regularity of RR intervals: the RR intervals of atrial tachycardia do not change much; the RR intervals of atrial fibrillation are absolutely irregular; whereas the RR intervals of the premature atrial bivalve and the premature atrial tri-valve change regularly by one length or two lengths. In order to distinguish between different properties using the structural nature of the RR interval time series of each array of events, the concept of RR interval structural index is introduced in this embodiment, and the calculation process is as follows:
s101: based on the electrocardiographic data corresponding to the event, all the corresponding RR intervals are sequenced according to time to obtain RR interval time sequence X= [ RR 1,RR2,RR3······RRn ], wherein RR i represents the ith RR interval.
S102: vector set Y={Y1(m)= (RR1, …,RRm),Y2(m)= (RR2, …,RRm+1),… ,Yn-m+1(m)= (RRn-m+1, …,RRn)}, is constructed based on RR interval time series X, where Y 1(m)、Y2(m) ,… , Yn-m+1 (m) each represents a vector subset, and m represents the number of elements that make up the vector subset.
S103: a mean D (m) of the distances between any two subsets of vectors in the set of vectors Y is calculated.
In the calculation of the average value D (m) of the distances in this embodiment, the distances between all arbitrary two vector subsets are calculated first, then the distances between all arbitrary two vector subsets are added, and then the addition result is divided by the number of addends in the addition process, that is. In this embodiment, the L2 norm distance is used for the distance calculation.
S104: calculating structural index of event based on distance mean D (m)：
Wherein M represents a maximum value of the number of elements constituting the preset vector subset, and M takes a value of 4 in this embodiment.
By calculating the structural index, if the structural index of a time series is larger, which means that the time series is more random in distribution, the probability that the corresponding event of the time series is an atrial fibrillation event is larger; the smaller the structural index of a time series, the greater the probability that the corresponding event of the time series is atrial tachycardia.
The second coordinate system constructed in this example is shown in fig. 3, in which the abscissa is the RR interval structural index and the ordinate is the heart rate variability.
S4: and classifying all the events based on the aggregation condition of the points corresponding to each event in the results filled by the first coordinate system and the second coordinate system.
The classification process may employ a conventional clustering algorithm, such as calculating a distance between two points, and classifying the points having a distance less than a set distance threshold into one class.
S5: based on the classification results, a determination result of whether one of the events in each category belongs to atrial tachycardia is taken as a determination result of all the events in the category.
In this embodiment, since there are two coordinate systems, when the classification results of a certain point in the two coordinate systems are inconsistent, the classification result with the largest number of the categories in which the point is located is preferentially used as the classification result of the point.
In one embodiment, the points corresponding to one type of event can be displayed in the same color in the coordinate system, and the points corresponding to different types of event can be displayed in different colors in the coordinate system, so that the medical staff can conveniently recognize the points.
Further, because of the difference in duration of each event, in order to facilitate the observation of the medical staff, in this embodiment, different sizes are set for the points corresponding to each event based on the duration.
According to the embodiment, the medical staff can reversely screen out the corresponding event by observing the distribution condition of each point in the two coordinate systems and the range of any circle of points, and detailed electrocardiogram waveforms of the events are displayed in a list shown on the left side of fig. 4, and batch modification is supported.
Embodiment two:
The invention also provides a terminal device for identifying atrial tachycardia events in batches, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the steps in the method embodiment of the first embodiment of the invention are realized when the processor executes the computer program.
Further, as an executable scheme, the atrial tachycardia event batch identification terminal device may be a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud server. The atrial tachycardia event batch identification terminal device may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the above-described composition of the atrial tachycardia event batch identification terminal device is merely an example of an atrial tachycardia event batch identification terminal device, and does not constitute a limitation of the atrial tachycardia event batch identification terminal device, and may include more or fewer components than those described above, or may combine certain components, or different components, for example, the atrial tachycardia event batch identification terminal device may further include an input/output device, a network access device, a bus, and the like, which is not limited by the embodiment of the present invention.
Further, as an executable scheme, the Processor may be a central processing unit (Central Processing Unit, CPU), other general purpose Processor, digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), or other Programmable logic device. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the atrial tachycardia event mass identification terminal device, and various interfaces and lines are used to connect the various parts of the entire atrial tachycardia event mass identification terminal device.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the atrial tachycardia event mass identification terminal device by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SMART MEDIA CARD, SMC), secure Digital (SD) card, flash memory card (FLASH CARD), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The present invention also provides a computer readable storage medium storing a computer program which when executed by a processor implements the steps of the above-described method of an embodiment of the present invention.
The module/unit integrated with the atrial tachycardia event mass identification terminal device may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. The atrial tachycardia event batch identification method is characterized by comprising the following steps of:
s1: extracting all suspected atrial tachycardia events in the electrocardiogram data;
s2: calculating the values of the front interval of the first atrial premature beat and the compensation interval of the last atrial premature beat of each event, constructing a first coordinate system in a mode that the front interval of the first atrial premature beat and the compensation interval of the last atrial premature beat are respectively used as the values of two coordinate axes in a two-dimensional coordinate system, and filling all the events into the corresponding coordinates of the first coordinate system;
S3: for each event, calculating the value of any two of the average heart rate, heart rate variability and RR interval structural index, constructing a second coordinate system in a mode that any two of the calculated values are used as the values of two coordinate axes in a two-dimensional coordinate system, and filling all the events into the corresponding coordinates of the second coordinate system;
s4: classifying all the events based on the aggregation condition of the points corresponding to each event in the results filled by the first coordinate system and the second coordinate system;
s5: based on the classification results, a determination result of whether one of the events in each category belongs to atrial tachycardia is taken as a determination result of all the events in the category.
2. The method for identifying atrial tachycardia events in batches of claim 1, wherein: the calculation formula of heart rate variability is:
Wherein, RMSSD represents heart rate variability, And/>Respectively representing the ith RR interval and the (i+1) th RR interval corresponding to the time-ordered RR intervals of the electrocardiographic data corresponding to the events, i represents the sequence number of the RR interval, and n represents the total number of the RR intervals.
3. The method for identifying atrial tachycardia events in batches of claim 1, wherein: the calculation process of the RR interval structural index comprises the following steps:
S101: based on the electrocardiographic data corresponding to the event, all RR intervals corresponding to the event are sequenced according to time to obtain RR interval time sequence X= [ RR 1,RR2,RR3······RRn ], wherein RR i represents the ith RR interval, i epsilon [1, n ], and n represents the total number of RR intervals;
S102: constructing a vector set Y={Y1(m)= (RR1, …,RRm),Y2(m)= (RR2, …,RRm+1),… ,Yn-m+1(m)= (RRn-m+1, …,RRn)}, based on the RR interval time series X, wherein Y 1(m)、Y2(m) ,… , Yn-m+1 (m) each represents a vector subset, and m represents the number of elements constituting the vector subset;
S103: calculating the average value D (m) of the distances between any two vector subsets in the vector set Y;
s104: calculating structural index of event based on distance mean D (m) ：
Where M represents a preset maximum number of elements making up the subset of vectors.
4. The method for identifying atrial tachycardia events in batches of claim 1, wherein: the step S5 further includes: based on the classification result, the points corresponding to one kind of event are displayed in the same color in the coordinate system, and the points corresponding to different kinds of event are displayed in different colors in the coordinate system.
5. The method for identifying atrial tachycardia events in batches of claim 1, wherein: different sizes are set for corresponding points of each event in the coordinate system based on the duration of the event.
6. An atrial tachycardia event batch identification terminal device, which is characterized in that: comprising a processor, a memory and a computer program stored in the memory and running on the processor, the processor implementing the steps of the method according to any one of claims 1 to 5 when the computer program is executed.
7. A computer-readable storage medium storing a computer program, characterized in that: the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
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