阅读说明：本技术 心磁图数据集的处理方法、系统、设备及计算机可读存储介质 (Method, system, device and computer readable storage medium for processing magnetocardiogram data set ) 是由 曾曹宁 王月霞 倪煊中 于 2021-01-25 设计创作，主要内容包括：本发明提供一种心磁图数据集的处理方法、系统、设备及计算机可读存储介质,所述心磁图数据集的处理方法包括：获取多周期的心磁图数据集；对所述心磁图数据集进行预处理,以对所述心磁图数据集进行成像,获取电流密度分布数据；所述电流密度分布数据为三维电流密度分布在测量平面的二维电流密度矢量；将所述电流密度分布数据于心电导联方向进行投影,以获取单周波所有时刻上二维电流密度矢量的导联方向投影分量；所述单周波所有时刻上二维电流密度矢量的导联方向投影分量与导联心电数据曲线具有对应关系。本发明可以解决了心电图与心磁图如何对照比较的问题,可以更准确地反映心脏电活动问题。(The invention provides a processing method, a system and equipment of a magnetocardiogram dataset and a computer readable storage medium, wherein the processing method of the magnetocardiogram dataset comprises the following steps: acquiring a multi-cycle magnetocardiogram dataset; preprocessing the magnetocardiogram data set to image the magnetocardiogram data set to obtain current density distribution data; the current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane; projecting the current density distribution data in the direction of the electrocardiogram lead to obtain the lead direction projection component of a two-dimensional current density vector at each moment of a single cycle; the lead direction projection component of the two-dimensional current density vector on the moment of the single cycle has a corresponding relation with the lead electrocardiogram data curve. The invention can solve the problem of comparison between electrocardiogram and magnetocardiogram, and can reflect the electrical activity of heart more accurately.)

1. A method of processing a magnetocardiogram dataset, comprising:

acquiring a multi-cycle magnetocardiogram dataset;

preprocessing the magnetocardiogram data set to image the magnetocardiogram data set to obtain current density distribution data; the current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane;

projecting the current density distribution data in the direction of the electrocardiogram lead to obtain the lead direction projection component of a two-dimensional current density vector at each moment of a single cycle; the lead direction projection component of the two-dimensional current density vector on the moment of the single cycle has a corresponding relation with the lead electrocardiogram data curve.

2. The method of processing a magnetocardiogram data set according to claim 1, wherein the step of preprocessing the magnetocardiogram data set comprises:

filtering the magnetocardiogram dataset;

and performing single-cycle segmentation on the filtered magnetocardiogram data set to obtain the mean single-cycle magnetocardiogram data set.

3. The method of processing a magnetocardiogram data set according to claim 2, wherein said step of imaging said magnetocardiogram data set comprises:

extracting the magnetic field strength value and channel space position information of the magnetocardiogram data set from the averaged single-cycle magnetocardiogram data set;

interpolating the magnetocardiogram dataset of a single cycle based on the magnetic field intensity value and the channel space position information of the magnetocardiogram dataset to obtain the isopgnetic map data of each moment;

and carrying out distribution transformation on the isomagnetic map data at each moment to obtain current density distribution data.

4. A method of processing a magnetocardiogram data set according to claim 3, wherein the step of projecting the current density profile data in the direction of the cardiac leads comprises: and projecting all the two-dimensional current density vectors at each moment to a plurality of electrocardio lead directions.

5. The method of processing a magnetocardiogram data set according to claim 4, wherein said step of projecting all two-dimensional current density vectors at each time instant onto a plurality of ecg lead directions comprises:

calculating the dot product of each two-dimensional current density vector and the unit vector in each electrocardio lead direction;

and summing the dot products of each two-dimensional current density vector and the unit vector in each electrocardio lead direction to obtain the lead direction projection component of the two-dimensional current density vector at the moment of single cycle.

6. The method of processing a magnetocardiogram data set as in claim 4, wherein the plurality of electrocardiographic lead directions include electrocardiographic lead I direction, electrocardiographic lead II direction, electrocardiographic lead III direction, electrocardiographic lead aVL direction, electrocardiographic lead aVR direction, and electrocardiographic lead aVF direction.

7. The method of processing a magnetocardiogram data set according to claim 6, further comprising:

and the projection components of the electrocardio-lead I direction, the electrocardio-lead II direction, the electrocardio-lead III direction, the electrocardio-lead aVL direction, the electrocardio-lead aVR direction and the electrocardio-lead aVF direction of the two-dimensional current density vector on the single cycle are respectively displayed.

8. A system for processing a magnetocardiogram dataset, comprising:

the acquisition module is used for acquiring a multi-cycle magnetocardiogram dataset;

the preprocessing module is used for preprocessing the magnetocardiogram data set;

the imaging module is used for imaging the magnetocardiogram data set to acquire current density distribution data; the current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane;

the projection processing module is used for projecting the current density distribution data in the electrocardio lead direction to obtain the lead direction projection component of a two-dimensional current density vector at each moment of a single cycle; the lead direction projection component of the two-dimensional current density vector on the moment of the single cycle has a corresponding relation with the lead electrocardiogram data curve.

9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method for processing a magnetocardiogram dataset as set forth in any one of claims 1 to 7.

10. A device for processing magnetocardiogram data sets, comprising: a processor and a memory;

the memory is adapted to store a computer program, and the processor is adapted to execute the computer program stored by the memory to cause a processing device of the magnetocardiogram dataset to perform a processing method of the magnetocardiogram dataset as claimed in any one of claims 1 to 7.

Technical Field

The invention belongs to the technical field of magnetocardiography, relates to a processing method and a processing system, and particularly relates to a processing method, a processing system, processing equipment and a computer readable storage medium for magnetocardiogram data sets.

Background

Electrocardiography (ECG) is a technique for recording from the surface of the body, a pattern of changes in electrical activity produced by each cardiac cycle of the heart using an electrocardiograph. The electrocardiogram leads have contact skin resistance interference and are also influenced by bone lattice and body fluid skin. The electrocardiogram wave projected by the magnetocardiogram can more accurately reflect the problem of the electrical activity of the heart. However, the prior art can not provide comparison between the magnetocardiogram and the electrocardiogram, which causes the problems of inaccurate feedback of the electrical activity of the heart, and the like.

Therefore, the present invention provides a method, a system, a device and a computer readable storage medium for processing a magnetocardiogram data set, so as to solve the problem that the prior art cannot provide comparison between a magnetocardiogram and an electrocardiogram, which results in inaccurate feedback of electrical activity of the heart, and the like.

Disclosure of Invention

In view of the above-mentioned drawbacks of the prior art, it is an object of the present invention to provide a method, a system, a device and a computer-readable storage medium for processing a magnetocardiogram data set, which solve the problem that the prior art fails to provide a comparative comparison of a magnetocardiogram with an electrocardiogram, resulting in an inaccurate feedback of the electrical activity of the heart.

To achieve the above and other related objects, an aspect of the present invention provides a method for processing a magnetocardiogram data set, comprising: acquiring a multi-cycle magnetocardiogram dataset; preprocessing the magnetocardiogram data set to image the magnetocardiogram data set to obtain current density distribution data; the current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane; projecting the current density distribution data in the direction of the electrocardiogram lead to obtain the lead direction projection component of a two-dimensional current density vector at each moment of a single cycle; the lead direction projection component of the two-dimensional current density vector on the moment of the single cycle has a corresponding relation with the lead electrocardiogram data curve.

In an embodiment of the invention, the step of preprocessing the magnetocardiogram data set includes: filtering the magnetocardiogram dataset; and performing single-cycle segmentation on the filtered magnetocardiogram data set to obtain the mean single-cycle magnetocardiogram data set.

In an embodiment of the invention, the step of imaging the magnetocardiogram data set includes: extracting the magnetic field strength value and channel space position information of the magnetocardiogram data set from the averaged single-cycle magnetocardiogram data set; interpolating the magnetocardiogram dataset of a single cycle based on the magnetic field intensity value and the channel space position information of the magnetocardiogram dataset to obtain the isopgnetic map data of each moment; and carrying out distribution transformation on the isomagnetic map data at each moment to obtain current density distribution data.

In an embodiment of the present invention, the step of projecting the current density distribution data in the direction of the cardiac lead includes: and projecting all the two-dimensional current density vectors at each moment to a plurality of electrocardio lead directions.

In an embodiment of the present invention, the step of projecting all the two-dimensional current density vectors at each time point to a plurality of ecg lead directions includes: calculating the dot product of each two-dimensional current density vector and the unit vector in each electrocardio lead direction; and summing the dot products of each two-dimensional current density vector and the unit vector in each electrocardio lead direction to obtain the lead direction projection component of the two-dimensional current density vector at the moment of single cycle.

In an embodiment of the present invention, the plurality of electrocardiographic lead directions include an electrocardiographic lead I direction, an electrocardiographic lead II direction, an electrocardiographic lead III direction, an electrocardiographic lead aVL direction, an electrocardiographic lead aVR direction, and an electrocardiographic lead aVF direction.

In an embodiment of the invention, the method for processing the magnetocardiogram data set further includes: and the projection components of the electrocardio-lead I direction, the electrocardio-lead II direction, the electrocardio-lead III direction, the electrocardio-lead aVL direction, the electrocardio-lead aVR direction and the electrocardio-lead aVF direction of the two-dimensional current density vector on the single cycle are respectively displayed.

Another aspect of the invention provides a system for processing a magnetocardiogram dataset, comprising: the acquisition module is used for acquiring a magnetocardiogram data set of a single cycle; the preprocessing module is used for preprocessing the magnetocardiogram data set; the imaging module is used for imaging the magnetocardiogram data set to acquire current density distribution data; the current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane; the projection processing module is used for projecting the current density distribution data in the electrocardio lead direction to obtain the lead direction projection component of a two-dimensional current density vector at each moment of a single cycle; the lead direction projection component of the two-dimensional current density vector on the moment of the single cycle has a corresponding relation with the lead electrocardiogram data curve.

Yet another aspect of the invention provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of processing the magnetocardiogram dataset.

A final aspect of the invention provides a device for processing a magnetocardiogram dataset, comprising: a processor and a memory; the memory is adapted to store a computer program and the processor is adapted to execute the computer program stored by the memory to cause the terminal to perform the method of processing a magnetocardiogram dataset according to any of claims 1 to 7.

As described above, the processing method, system, device and computer readable storage medium of magnetocardiogram data sets according to the present invention have the following advantages:

the processing method, the system, the equipment and the computer readable storage medium of the magnetocardiogram dataset solve the problem of comparison and comparison of the electrocardiogram and the magnetocardiogram, and can reflect the problem of electrical activity of the heart more accurately.

Drawings

FIG. 1 is a flow chart illustrating a method for processing a magnetocardiogram dataset according to an embodiment of the present invention.

FIG. 2 is a schematic diagram of current density distribution data according to the present invention.

FIG. 3 is a schematic representation of the projected components of the ECG lead I directions generated by the method of processing the magnetocardiogram data set of the present invention

FIG. 4 is a schematic representation of the direction projection components of ECG lead II generated by the method of processing the magnetocardiogram data set of the present invention

FIG. 5 is a schematic representation of the direction projection components of ECG leads III generated by the method of processing a magnetocardiogram data set according to the present invention

FIG. 6 is a schematic diagram showing the aVL direction projection components of the ECG lead generated by the method of processing the magnetocardiogram data set according to the present invention

Fig. 7 shows a schematic diagram of the electrocardiographic lead aVR directional projection components generated for the method of processing the magnetocardiogram data set of the present invention.

Fig. 8 shows a schematic diagram of the aVF direction projection component generated by the processing method of the magnetocardiogram data set of the present invention.

FIG. 9 is a schematic block diagram of a system for processing a magnetocardiogram data set according to an embodiment of the present invention.

Description of the element reference numerals

Processing system for 9 magnetocardiogram data sets

91 acquisition module

92 preprocessing module

93 imaging module

94 projection processing module

95 display module

S11-S15

Detailed Description

The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.

It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.

The technical principle of the processing method, the system and the equipment of the magnetocardiogram dataset and the computer readable storage medium of the invention is as follows:

preprocessing a magnetocardiogram data set acquired by a multi-channel magnetocardiogram instrument to obtain 36 single-cycle magnetocardiogram data sets with the average value; extracting 36 snack magnetic map data for transformation based on 36 single-cycle waves at each time point to form a current density map PCDM, projecting all two-dimensional current density vectors at each time point to a certain lead direction of an electrocardiogram, and obtaining a projection component of the direction at each time point after vector summation; the X-projection component Y at all time points can be drawn through the projection components at all time points, and the image has corresponding relation with the ECG trace.

Example one

The embodiment provides a processing method of a magnetocardiogram data set, which comprises the following steps:

acquiring a multi-cycle magnetocardiogram dataset;

preprocessing the magnetocardiogram data set to image the magnetocardiogram data set to obtain current density distribution data; the current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane;

projecting the current density distribution data in the direction of the electrocardiogram lead to obtain the lead direction projection component of a two-dimensional current density vector at each moment of a single cycle; the lead direction projection component of the two-dimensional current density vector on the moment of the single cycle has a corresponding relation with the lead electrocardiogram data curve.

The processing method of the magnetocardiogram data set provided in the present embodiment will be described in detail below with reference to the drawings. Please refer to fig. 1, which is a flowchart illustrating a processing method of a magnetocardiogram data set according to an embodiment. As shown in fig. 1, the processing method of the magnetocardiogram data set specifically includes the following steps:

s11, acquiring a multi-cycle magnetocardiogram data set. The multi-period magnetocardiogram data sets are data collected by the multi-channel magnetocardiogram instrument, and specifically are 36 multi-period magnetocardiogram data sets.

S12, preprocessing the magnetocardiogram data set.

Specifically, the S12 includes the following steps:

filtering the magnetocardiogram dataset;

and performing single-cycle segmentation on the filtered magnetocardiogram data set to obtain the mean single-cycle magnetocardiogram data set.

And S13, imaging the magnetocardiogram data set to obtain current density distribution data. The current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane and is used for reflecting the current density distribution in the human body.

Specifically, the S13 includes:

extracting the magnetic field intensity value B of the magnetocardiogram data set from the 36 single-cycle magnetocardiogram data sets after the mean value_zAnd channel spatial location information;

and interpolating the magnetocardiogram dataset of the single cycle wave based on the magnetic field intensity value and the channel space position information of the magnetocardiogram dataset to obtain the isopgnetic map data of each moment. In the present embodiment, the interpolation method may employ two-dimensional interpolation in order to increase the data amount.

The distribution transformation is performed on the isophotic map data at each time to obtain current density distribution data, i.e., the PCDM shown in fig. 2.

In this embodiment, the distribution transformation of the isogram data adopts the Hosaka-Cohn transformation, and the transformation formula is as follows:

and S14, projecting the current density distribution data in the direction of the electrocardiogram lead to obtain the lead direction projection component of the two-dimensional current density vector at the moment of single cycle. In this embodiment, the lead direction projection component of the two-dimensional current density vector at all times of the single cycle has a corresponding relationship with the lead electrocardiogram data curve.

In this embodiment, the step of projecting the current density distribution data in the direction of the cardiac lead includes: and projecting all the two-dimensional current density vectors at each moment to a plurality of electrocardio lead directions. Specifically, the plurality of electrocardiographic lead directions include an electrocardiographic lead I direction, an electrocardiographic lead II direction, an electrocardiographic lead III direction, an electrocardiographic lead aVL direction, an electrocardiographic lead aVR direction, and an electrocardiographic lead aVF direction.

The step of projecting all the two-dimensional current density vectors at each moment to a plurality of electrocardio lead directions comprises the following steps:

calculating the dot product of each two-dimensional current density vector and the unit vector in each electrocardio lead direction;

and summing the dot products of each two-dimensional current density vector and the unit vector in each electrocardio lead direction to obtain the lead direction projection component of the two-dimensional current density vector at the moment of single cycle.

Specifically, the step of projecting all the two-dimensional current density vectors at each moment to the direction I (i.e. the positive direction of the x axis) of the electrocardiogram lead includes:

calculating the dot product of each two-dimensional current density vector and a unit vector in the direction of the electrocardiogram lead I;

(i_x,i_y)·(cos(0°)，sin(0°))＝1*i_x+0*i_y＝i_x；

summing the dot products of each two-dimensional current density vector and the unit vector in the direction of the electrocardiogram lead I, and obtaining_xNamely, acquiring the electrocardio lead I direction projection component of the two-dimensional current density vector at the moment of single cycle.

Specifically, the step of projecting all the two-dimensional current density vectors at each moment to the direction of the electrocardiogram lead II comprises the following steps:

calculating the dot product of each two-dimensional current density vector and the unit vector in the direction of the electrocardiogram lead II;

each two-dimensional current density vector is summed with the dot product of the unit vectors in the direction of the electrocardio lead II,so as to obtain the electrocardio lead II direction projection component of the two-dimensional current density vector at the moment of single cycle.

Specifically, the step of projecting all the two-dimensional current density vectors at each moment to the direction of the electrocardiogram lead III comprises the following steps:

calculating the dot product of each two-dimensional current density vector and a unit vector in the direction of the electrocardio lead III;

each two-dimensional current density vector is summed with the dot product of the unit vectors in the direction of the electrocardio lead III,so as to obtain the electrocardio lead III direction projection component of the two-dimensional current density vector at the moment of single cycle.

Specifically, the step of projecting all the two-dimensional current density vectors at each moment to the direction of the electrocardiographic lead aVL includes:

calculating the dot product of each two-dimensional current density vector and a unit vector in the direction of the electrocardio lead aVL;

each two-dimensional current density vector is summed with the dot product of the unit vectors in the direction of the electrocardio lead aVL,to obtain a two-dimensional current density vector at all times of a single cycleaVL direction projection component.

Specifically, the step of projecting all the two-dimensional current density vectors at each moment to the direction of the electrocardiographic lead aVR includes:

calculating the dot product of each two-dimensional current density vector and a unit vector in the direction of the electrocardiogram lead aVR;

each two-dimensional current density vector is summed with the dot product of the unit vectors in the direction of the electrocardiogram lead aVR,to obtain the aVR direction projection component of the two-dimensional current density vector at all times of a single cycle.

Specifically, the step of projecting all the two-dimensional current density vectors at each moment to the direction of the electrocardiographic lead aVF includes:

calculating the dot product of each two-dimensional current density vector and a unit vector in the direction of the electrocardio lead aVF;

(i_x,i_y)·(cos(90°)，-sin(90°))＝0*i_x-1*i_y＝-i_y；

summing the dot products of each two-dimensional current density vector and the unit vector in the direction of the electrocardiogram lead aVF to obtain sigma-i_yTo obtain the aVF direction projection component of the two-dimensional current density vector at the time of the single cycle.

S15, respectively, shows projection components of the two-dimensional current density vector at the single cycle in the electrocardiographic lead I direction (as shown in fig. 3), electrocardiographic lead II direction (as shown in fig. 4), electrocardiographic lead III direction (as shown in fig. 5), electrocardiographic lead aVL direction (as shown in fig. 6), electrocardiographic lead aVR direction (as shown in fig. 7), and electrocardiographic lead aVF direction (as shown in fig. 8).

The processing method of the magnetocardiogram data set solves the problem of comparison and comparison of the electrocardiogram and the magnetocardiogram, and can reflect the problem of electrical activity of the heart more accurately.

The present embodiment also provides a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, realizes the above-mentioned method of processing a magnetocardiogram dataset.

One of ordinary skill in the art will appreciate that the computer-readable storage medium is: all or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. The aforementioned computer program may be stored in a computer readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

Example two

The present embodiment provides a system for processing a magnetocardiogram dataset, comprising:

the acquisition module is used for acquiring a multi-cycle magnetocardiogram dataset;

the preprocessing module is used for preprocessing the magnetocardiogram data set;

the imaging module is used for imaging the magnetocardiogram data set to acquire current density distribution data; the current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane;

the projection processing module is used for projecting the current density distribution data in the electrocardio lead direction to obtain the lead direction projection component of a two-dimensional current density vector at each moment of a single cycle; the lead direction projection component of the two-dimensional current density vector on the moment of the single cycle has a corresponding relation with the lead electrocardiogram data curve.

The processing system for the magnetocardiogram data set provided in the present embodiment will be described in detail below with reference to the drawings. Please refer to fig. 9, which is a schematic structural diagram of a processing system for magnetocardiogram data sets in an embodiment. As shown in fig. 9, the processing system 9 of the magnetocardiogram data set comprises: an acquisition module 91, a preprocessing module 92, an imaging module 93, a projection processing module 94, and a display module 95.

The acquisition module 91 is configured to acquire a multi-cycle magnetocardiogram dataset. The multi-period magnetocardiogram data sets are data collected by the multi-channel magnetocardiogram instrument, and specifically are 36 multi-period magnetocardiogram data sets.

The preprocessing module 92 is configured to preprocess the magnetocardiogram data set.

In particular, the preprocessing module 92 filters the magnetocardiogram dataset; and performing single-cycle segmentation on the filtered magnetocardiogram data set to obtain the mean single-cycle magnetocardiogram data set.

The imaging module 93 is configured to image the magnetocardiogram data set to obtain current density distribution data; the current density distribution data is a two-dimensional current density vector of three-dimensional current density distribution on a measuring plane and is used for reflecting the current density distribution in the human body.

Specifically, the imaging module 93 extracts the magnetic field strength value B of the magnetocardiogram dataset from the 36 single-cycle magnetocardiogram datasets after the mean value_zAnd channel spatial location information; and interpolating the magnetocardiogram dataset of the single cycle wave based on the magnetic field intensity value and the channel space position information of the magnetocardiogram dataset to obtain the isopgnetic map data of each moment. And carrying out distribution transformation on the isomagnetic map data at each moment to obtain current density distribution data. In the present embodiment, the interpolation method may employ two-dimensional interpolation in order to increase the data amount.

The projection processing module 94 is configured to project the current density distribution data in the direction of the cardiac leads to obtain lead direction projection components of two-dimensional current density vectors at times of single cycle; the lead direction projection component of the two-dimensional current density vector on the moment of the single cycle has a corresponding relation with the lead electrocardiogram data curve.

Specifically, the projection processing module 94 projects all the two-dimensional current density vectors at each time point to a plurality of cardiac leads. The plurality of electrocardiographic lead directions include an electrocardiographic lead I direction, an electrocardiographic lead II direction, an electrocardiographic lead III direction, an electrocardiographic lead aVL direction, an electrocardiographic lead aVR direction and an electrocardiographic lead aVF direction.

The process of projecting all the two-dimensional current density vectors at each moment to a plurality of electrocardiographic lead directions by the projection processing module 94 includes:

calculating the dot product of each two-dimensional current density vector and the unit vector in each electrocardio lead direction;

and summing the dot products of each two-dimensional current density vector and the unit vector in each electrocardio lead direction to obtain the lead direction projection component of the two-dimensional current density vector at the moment of single cycle.

The display module 95 is configured to display projection components of an electrocardiographic lead I direction, an electrocardiographic lead II direction, an electrocardiographic lead III direction, an electrocardiographic lead aVL direction, an electrocardiographic lead aVR direction, and an electrocardiographic lead aVF direction of a two-dimensional current density vector at a time of a single cycle, respectively.

It should be noted that the division of the modules of the above system is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And the modules can be realized in a form that all software is called by the processing element, or in a form that all the modules are realized in a form that all the modules are called by the processing element, or in a form that part of the modules are called by the hardware. For example: the x module can be a separately established processing element, and can also be integrated in a certain chip of the system. In addition, the x-module may be stored in the memory of the system in the form of program codes, and may be called by one of the processing elements of the system to execute the functions of the x-module. Other modules are implemented similarly. All or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software. These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), one or more microprocessors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), and the like. When a module is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. These modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).

EXAMPLE III

The present embodiment provides a processing apparatus of a magnetocardiogram dataset, comprising: a processor, memory, transceiver, communication interface, or/and system bus; the memory is used for storing the computer program, the communication interface is used for communicating with other devices, and the processor and the transceiver are used for operating the computer program to enable the processing device of the magnetocardiogram dataset to execute the steps of the processing method of the magnetocardiogram dataset according to the first embodiment.

The above-mentioned system bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.

The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.

The protection scope of the processing method of magnetocardiogram data set according to the present invention is not limited to the execution sequence of steps listed in this embodiment, and all the solutions implemented by the steps addition, subtraction, and step replacement in the prior art according to the principles of the present invention are included in the protection scope of the present invention.

The present invention also provides a processing system of a magnetocardiogram dataset, which can implement the processing method of a magnetocardiogram dataset described in the present invention, but the implementation apparatus of the processing method of a magnetocardiogram dataset described in the present invention includes, but is not limited to, the structure of the processing system of a magnetocardiogram dataset described in this embodiment, and all structural modifications and substitutions in the prior art made according to the principle of the present invention are included in the protection scope of the present invention.

In summary, the processing method, system, device and computer readable storage medium for magnetocardiogram data set according to the present invention solve the problem of comparing the electrocardiogram with the magnetocardiogram, and can reflect the electrical activity of the heart more accurately. The invention effectively overcomes various defects in the prior art and has high industrial utilization value.

The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.