CN114330419A - Image processing method, image processing device, computer equipment, storage medium and product - Google Patents

Image processing method, image processing device, computer equipment, storage medium and product Download PDF

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CN114330419A
CN114330419A CN202111452376.2A CN202111452376A CN114330419A CN 114330419 A CN114330419 A CN 114330419A CN 202111452376 A CN202111452376 A CN 202111452376A CN 114330419 A CN114330419 A CN 114330419A
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signal
signals
waveform
image
abnormal
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周大雨
孟祥思
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Abstract

The application provides an image processing method, an image processing device, computer equipment, a storage medium and a product, and belongs to the technical field of image processing. The method comprises the following steps: acquiring a first image of an abnormal part of a target object, wherein the first image comprises a plurality of waveform signals, each waveform signal is a one-dimensional waveform signal obtained by acquiring signals of a plurality of acquisition parts corresponding to the abnormal part, and each waveform signal corresponds to an acquisition part and an axis generated by connecting the abnormal part; determining a plurality of orthogonal signals from the plurality of waveform signals, wherein the axes of the plurality of orthogonal signals are perpendicular to each other; fusing a plurality of orthogonal signals to obtain an equivalent vector signal; and generating a second image based on the plurality of waveform signals and the equivalent vector signal, wherein the second image is used for reflecting the abnormal condition of the abnormal part. The method combines the equivalent vector signal and the plurality of waveform signals into a new image to reflect the abnormal condition of the abnormal part, and can improve the accuracy of the reflected abnormal condition of the abnormal part.

Description

Image processing method, image processing device, computer equipment, storage medium and product
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an image processing method, an image processing apparatus, a computer device, a storage medium, and a product.
Background
In daily life, some parts of the target object may have abnormal conditions, and therefore, it is necessary to acquire images of the abnormal parts to obtain target images reflecting the abnormal conditions of the abnormal parts. The target object may generally refer to various entities, such as a device, a human body, and the like.
In the related art, a plurality of acquisition parts of an abnormal part are acquired by a plurality of acquisition components to obtain a one-dimensional waveform signal corresponding to each acquisition part, and the one-dimensional waveform signal corresponding to each acquisition part is drawn into an image to obtain a target image. Since the abnormal portion is generally three-dimensional, the one-dimensional waveform signal corresponding to each acquisition portion of the abnormal portion is a signal obtained by projecting the entire three-dimensional signal of the abnormal portion twice.
In the related art, since the three-dimensional stereo signal of the abnormal portion is weak, a one-dimensional waveform signal obtained by projecting the three-dimensional stereo signal twice may have a signal missing condition, so that a target image generated based on a plurality of one-dimensional waveform signals may not accurately reflect an abnormal condition of the abnormal portion, that is, the target image may have a poor accuracy in reflecting the abnormal condition of the abnormal portion.
Disclosure of Invention
The embodiment of the application provides an image processing method, an image processing device, computer equipment, a storage medium and a product, which can improve the accuracy of reflecting the abnormal condition of an abnormal part. The technical scheme is as follows:
in one aspect, an image processing method is provided, and the method includes:
acquiring a first image of an abnormal part of a target object, wherein the first image comprises a plurality of waveform signals, each waveform signal is a one-dimensional waveform signal obtained by acquiring signals of a plurality of acquisition parts corresponding to the abnormal part, and each waveform signal corresponds to an acquisition part and an axis generated by connecting the acquisition part with the abnormal part;
determining a plurality of orthogonal signals from the plurality of waveform signals, wherein the axes of the plurality of orthogonal signals are perpendicular to each other;
fusing the orthogonal signals to obtain an equivalent vector signal;
and generating a second image based on the plurality of waveform signals and the equivalent vector signal, wherein the second image is used for reflecting the abnormal condition of the abnormal part.
In one possible implementation, the plurality of waveform signals include a plurality of first portion signals and a plurality of second portion signals, the plurality of first portion signals are waveform signals corresponding to a frontal plane of the abnormal portion, the plurality of second portion signals are waveform signals corresponding to a lateral plane of the abnormal portion, and the frontal plane and the lateral plane are perpendicular to each other;
the determining a plurality of orthogonal signals from the plurality of waveform signals comprises:
respectively acquiring a first part signal corresponding to the frontal plane and two second part signals corresponding to the transverse plane to obtain three orthogonal signals, wherein the axes of the two second part signals corresponding to the transverse plane are mutually vertical; alternatively, the first and second electrodes may be,
and respectively acquiring two first part signals corresponding to the frontal plane and a second part signal corresponding to the transverse plane to obtain three orthogonal signals, wherein the axes of the two first part signals corresponding to the frontal plane are mutually vertical.
In one possible implementation, the first part signal includes a first standard signal, a second standard signal, a third standard signal, a first compression signal, a second compression signal, and a third compression signal, the first standard signal and the first compression signal respectively correspond to a signal of a left upper limb of the target object, the second standard signal and the second compression signal respectively correspond to a signal of a right upper limb of the target object, the third standard signal and the third compression signal respectively correspond to a signal of a left lower limb of the target object, and the first compression signal, the second compression signal, and the third compression signal are signals obtained by enhancing a collection voltage; the plurality of second location signals includes a first location signal, a second location signal, a third location signal, a fourth location signal, a fifth location signal, and a sixth location signal, the first location signal, the second location signal, the third location signal, the fourth location signal, the fifth location signal, and the sixth location signal respectively correspond to signals of 6 different locations of a chest region of the target subject;
the obtaining of a first portion signal corresponding to the frontal plane and two second portion signals corresponding to the transverse plane, respectively, to obtain three orthogonal signals includes:
respectively acquiring the third pressurizing signal, the second position signal and the sixth position signal to obtain three orthogonal signals, wherein the axes of the second position signal and the sixth position signal are vertical to each other; alternatively, the first and second electrodes may be,
and respectively acquiring the second standard signal, the first position signal and the fifth position signal to obtain the three orthogonal signals, wherein the axes of the first position signal and the fifth position signal are mutually vertical.
In a possible implementation manner, the fusing the multiple orthogonal signals to obtain an equivalent vector signal includes:
acquiring a signal value of each orthogonal signal at each sampling moment;
for each sampling moment, summing the squares of the signal values of each of the orthogonal signals to obtain a sum of squares of the plurality of orthogonal signals, and squaring the sum of squares to obtain a vector value of the sampling moment;
generating the equivalent vector signal based on the each sampling instant and the vector value of the each sampling instant.
In one possible implementation manner, the acquiring a first image of an abnormal portion of a target object includes:
acquiring an original image of the abnormal part, wherein the original image comprises a plurality of original waveform signals;
respectively filtering and amplifying the original waveform signals to obtain a plurality of analog signals;
respectively carrying out analog-to-digital conversion on the plurality of analog signals to obtain a plurality of digital signals;
and respectively drawing a one-dimensional oscillogram corresponding to each digital signal to obtain the first image.
In one possible implementation, the generating a second image based on the plurality of waveform signals and the equivalent vector signal includes:
and adding the equivalent vector signal to the first image to obtain the second image.
In one possible implementation, the method further includes:
and determining the operation condition of the abnormal part based on the second image.
In a possible implementation manner, each waveform signal includes a plurality of waveforms, and the determining the operation condition of the abnormal portion based on the second image includes:
determining start and end points of a plurality of waveforms in each waveform signal based on the equivalent vector signal;
determining a waveform characteristic of each waveform based on start and end points of the plurality of waveforms;
and determining the operation condition of the abnormal part based on the waveform characteristics in the plurality of waveform signals.
In another aspect, there is provided an image processing apparatus, the apparatus including:
the acquisition module is used for acquiring a first image of an abnormal part of a target object, wherein the first image comprises a plurality of waveform signals, each waveform signal is a one-dimensional waveform signal obtained by acquiring signals of a plurality of acquisition parts corresponding to the abnormal part, and each waveform signal corresponds to an acquisition part and an axis generated by connecting the abnormal part;
a first determining module, configured to determine a plurality of orthogonal signals from the plurality of waveform signals, wherein axes of the plurality of orthogonal signals are perpendicular to each other;
the fusion module is used for fusing the orthogonal signals to obtain an equivalent vector signal;
and the generating module is used for generating a second image based on the plurality of waveform signals and the equivalent vector signal, and the second image is used for reflecting the abnormal condition of the abnormal part.
In one possible implementation, the plurality of waveform signals include a plurality of first portion signals and a plurality of second portion signals, the plurality of first portion signals are waveform signals corresponding to a frontal plane of the abnormal portion, the plurality of second portion signals are waveform signals corresponding to a lateral plane of the abnormal portion, and the frontal plane and the lateral plane are perpendicular to each other; the first determining module includes:
the first acquisition unit is used for respectively acquiring a first part signal corresponding to the frontal plane and two second part signals corresponding to the transverse plane to obtain three orthogonal signals, and the axes of the two second part signals corresponding to the transverse plane are mutually vertical;
and the second acquisition unit is used for respectively acquiring two first part signals corresponding to the frontal plane and one second part signal corresponding to the transverse plane to obtain three orthogonal signals, and the axes of the two first part signals corresponding to the frontal plane are mutually vertical.
In one possible implementation, the first part signal includes a first standard signal, a second standard signal, a third standard signal, a first compression signal, a second compression signal, and a third compression signal, the first standard signal and the first compression signal respectively correspond to a signal of a left upper limb of the target object, the second standard signal and the second compression signal respectively correspond to a signal of a right upper limb of the target object, the third standard signal and the third compression signal respectively correspond to a signal of a left lower limb of the target object, and the first compression signal, the second compression signal, and the third compression signal are signals obtained by enhancing a collection voltage; the plurality of second location signals includes a first location signal, a second location signal, a third location signal, a fourth location signal, a fifth location signal, and a sixth location signal, the first location signal, the second location signal, the third location signal, the fourth location signal, the fifth location signal, and the sixth location signal respectively correspond to signals of six different locations of a chest region of the target subject; the first obtaining unit is configured to:
respectively acquiring the third pressurizing signal, the second position signal and the sixth position signal to obtain three orthogonal signals, wherein the axes of the second position signal and the sixth position signal are vertical to each other; alternatively, the first and second electrodes may be,
and respectively acquiring the second standard signal, the first position signal and the fifth position signal to obtain the three orthogonal signals, wherein the axes of the first position signal and the fifth position signal are mutually vertical.
In one possible implementation manner, the fusion module is configured to:
acquiring a signal value of each orthogonal signal at each sampling moment;
for each sampling moment, summing the squares of the signal values of each of the orthogonal signals to obtain a sum of squares of the plurality of orthogonal signals, and squaring the sum of squares to obtain a vector value of the sampling moment;
generating the equivalent vector signal based on the each sampling instant and the vector value of the each sampling instant.
In a possible implementation manner, the obtaining module is configured to:
acquiring an original image of the abnormal part, wherein the original image comprises a plurality of original waveform signals;
respectively filtering and amplifying the original waveform signals to obtain a plurality of analog signals;
respectively carrying out analog-to-digital conversion on the plurality of analog signals to obtain a plurality of digital signals;
and respectively drawing a one-dimensional oscillogram corresponding to each digital signal to obtain the first image.
In a possible implementation manner, the generating module is configured to add the equivalent vector signal to the first image to obtain the second image.
In one possible implementation, the apparatus further includes:
and the second determining module is used for determining the operation condition of the abnormal part based on the second image.
In a possible implementation manner, each waveform signal includes a plurality of waveforms, and the second determining module is configured to:
determining start and end points of a plurality of waveforms in each waveform signal based on the equivalent vector signal;
determining a waveform characteristic of each waveform based on start and end points of the plurality of waveforms;
and determining the operation condition of the abnormal part based on the waveform characteristics in the plurality of waveform signals.
In another aspect, a computer device is provided, which includes one or more processors and one or more memories, and at least one program code is stored in the one or more memories, and the at least one program code is loaded and executed by the one or more processors to implement the image processing method according to any one of the above-mentioned implementation manners.
In another aspect, a computer-readable storage medium is provided, in which at least one program code is stored, and the at least one program code is loaded and executed by a processor to implement the image processing method according to any one of the above-mentioned implementation manners.
In another aspect, a computer program product is provided, which includes at least one program code, which is loaded and executed by a processor to implement the image processing method according to any of the above-mentioned implementation manners.
The technical scheme provided by the embodiment of the application has the beneficial effects that at least:
the embodiment of the application provides an image processing method, and the method fuses a plurality of orthogonal signals in a plurality of waveform signals to obtain an equivalent vector signal, so that the equivalent vector signal can represent the comprehensive change trend of the waveform signals on three dimensions, and the change trend of the waveform signals can be more accurately reflected; and then the equivalent vector signal and a plurality of waveform signals are combined into a new image to reflect the abnormal condition of the abnormal part, so that the accuracy of the reflected abnormal condition of the abnormal part can be improved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic illustration of an implementation environment provided by an embodiment of the present application;
fig. 2 is a flowchart of an image processing method provided in an embodiment of the present application;
fig. 3 is a flowchart of an image processing method provided in an embodiment of the present application;
FIG. 4 is a schematic diagram of a limb lead six-axis system provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of a chest lead six-axis system according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a first image provided by an embodiment of the present application;
FIG. 7 is a schematic diagram of a component for acquiring a first image according to an embodiment of the present disclosure;
FIG. 8 is a schematic projection diagram of a cardiac stereo cardiac signal provided by an embodiment of the present application;
FIG. 9 is a schematic diagram of a 13-lead electrocardiogram provided by an embodiment of the present application;
FIG. 10 is a flowchart of an image processing method provided in an embodiment of the present application;
fig. 11 is a block diagram of an image processing apparatus according to an embodiment of the present application;
fig. 12 is a block diagram of a terminal according to an embodiment of the present application;
fig. 13 is a block diagram of a server according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The image processing method provided by the embodiment of the application can be used in computer equipment. Optionally, the computer device is a terminal or a server. Optionally, the server is an independent physical server, or a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a web service, cloud communication, a middleware service, a domain name service, a security service, a CDN (Content Delivery Network), a big data and artificial intelligence platform, and the like. Optionally, the terminal is a smartphone, a tablet, a laptop, a desktop computer, etc., but is not limited thereto.
In a possible implementation, the computer program according to the embodiments of the present application may be deployed to be executed on one computer device or on multiple computer devices located at one site, or may be executed on multiple computer devices distributed at multiple sites and interconnected by a communication network, where the multiple computer devices distributed at the multiple sites and interconnected by the communication network can form a block chain system.
The embodiment of the application is applied to computer equipment, and in the first case, the computer equipment is provided as a terminal, and the terminal executes the image processing method provided by the embodiment of the application; the terminal can be at least one of devices such as a smart phone, a tablet computer, a notebook computer or a desktop computer. In the second case, the computer device is provided as a server, and the server executes the image processing method provided by the embodiment of the application; the server is one server or at least one of a server cluster cloud server, a cloud computing platform and a virtualization center which are composed of a plurality of servers. In a third case, the computer devices are provided as a terminal and a server, and the terminal and the server jointly execute the image processing method provided by the present application. The following description will be given taking computer devices as terminals and servers as examples. Fig. 1 is a schematic diagram of an implementation environment provided in an embodiment of the present application, and referring to fig. 1, the implementation environment includes: a terminal 10 and a server 20.
The terminal 10 has installed thereon a target application serviced by the server 20, and the terminal 10 can implement functions such as data transmission, information interaction, etc. through the target application. The target application is an application in the operating system of the terminal 10 or an application provided by a third party. For example, the target application is a medical application program. The terminal 10 can perform information interaction with the server 20 through the medical application program, thereby implementing image processing. And the server 20 is used for providing background services for the terminal 10.
In one possible implementation, the terminal 10 acquires a plurality of one-dimensional waveform signals of an abnormal portion of the target object, transmits the plurality of one-dimensional waveform signals to the server 20, and generates an image reflecting an abnormal condition of the abnormal portion based on the plurality of one-dimensional waveform signals by the server 20. In another possible implementation manner, the terminal acquires a plurality of one-dimensional waveform signals of an abnormal portion of the target object, and generates an image reflecting an abnormal condition of the abnormal portion based on the plurality of one-dimensional waveform signals.
The image processing method provided by the embodiment of the application can be applied to any one of the following image processing scenes.
In a first scenario, the target object is a human body, and the image processing method is used for obtaining a scenario of an image reflecting an abnormal condition of an abnormal part of the human body. For example, the target object is a human body (patient), and the abnormal portion is a heart of the human body. The computer device performs image acquisition of the patient's heart resulting in an image reflecting the abnormal condition of the patient's heart.
In a second scenario, the target object is a device, and the image processing method is used for obtaining a scenario of an image reflecting an abnormal condition of an abnormal portion of the device. For example, if the target object is a device (a component is abnormal) and the abnormal portion is a portion where an abnormal condition occurs in the device, the computer device performs image acquisition on the abnormal portion of the device to obtain an image reflecting the abnormal condition of the abnormal portion of the device.
Fig. 2 is a flowchart of an image processing method according to an embodiment of the present application. The execution subject of the embodiment of the application is computer equipment, and referring to fig. 2, the method includes:
step 201: the method comprises the steps of obtaining a first image of an abnormal part of a target object, wherein the first image comprises a plurality of waveform signals, each waveform signal is a one-dimensional waveform signal obtained by carrying out signal acquisition on a plurality of acquisition parts corresponding to the abnormal part, and each waveform signal corresponds to an acquisition part and an axis generated by connecting the abnormal part.
Step 202: a plurality of orthogonal signals are determined from the plurality of waveform signals, and axes corresponding to the plurality of orthogonal signals are perpendicular to each other.
Step 203: and fusing the plurality of orthogonal signals to obtain an equivalent vector signal.
Step 204: and generating a second image based on the plurality of waveform signals and the equivalent vector signal, wherein the second image is used for reflecting the abnormal condition of the abnormal part.
In one possible implementation manner, the plurality of waveform signals include a plurality of first portion signals and a plurality of second portion signals, the plurality of first portion signals are waveform signals corresponding to a frontal plane of the abnormal portion, the plurality of second portion signals are waveform signals corresponding to a transverse plane of the abnormal portion, and the frontal plane and the transverse plane are perpendicular to each other;
determining a plurality of orthogonal signals from a plurality of waveform signals, comprising:
respectively acquiring a first part signal corresponding to the frontal plane and two second part signals corresponding to the transverse plane to obtain three orthogonal signals, wherein the axes of the two second part signals corresponding to the transverse plane are mutually vertical; alternatively, the first and second electrodes may be,
two first part signals corresponding to the frontal plane and a second part signal corresponding to the transverse plane are respectively obtained to obtain three orthogonal signals, and the axes of the two first part signals corresponding to the frontal plane are mutually vertical.
In one possible implementation manner, the first part signal includes a first standard signal, a second standard signal, a third standard signal, a first pressurizing signal, a second pressurizing signal, and a third pressurizing signal, the first standard signal and the first pressurizing signal respectively correspond to a signal of a left upper limb of the target object, the second standard signal and the second pressurizing signal respectively correspond to a signal of a right upper limb of the target object, the third standard signal and the third pressurizing signal respectively correspond to a signal of a left lower limb of the target object, and the first pressurizing signal, the second pressurizing signal, and the third pressurizing signal are signals obtained by enhancing the collected voltage; the plurality of second location signals include a first location signal, a second location signal, a third location signal, a fourth location signal, a fifth location signal, and a sixth location signal, the first location signal, the second location signal, the third location signal, the fourth location signal, the fifth location signal, and the sixth location signal respectively corresponding to signals of six different locations of the front chest of the target subject;
obtain a first position signal that frontal plane corresponds and two second position signals that the transverse plane corresponds respectively, obtain three quadrature signal, include:
respectively acquiring a third pressurizing signal, a second position signal and a sixth position signal to obtain three orthogonal signals, wherein the axes of the second position signal and the sixth position signal are vertical to each other; alternatively, the first and second electrodes may be,
and respectively acquiring a second standard signal, a first position signal and a fifth position signal to obtain three orthogonal signals, wherein the axes of the first position signal and the fifth position signal are mutually vertical.
In one possible implementation, fusing a plurality of orthogonal signals to obtain an equivalent vector signal includes:
acquiring a signal value of each orthogonal signal at each sampling moment;
for each sampling moment, summing the squares of the signal value of each orthogonal signal to obtain the square sum of a plurality of orthogonal signals, and squaring the square sum to obtain the vector value of the sampling moment;
an equivalent vector signal is generated based on each sample time instant and the vector value for each sample time instant.
In one possible implementation, acquiring a first image of an abnormal portion of a target object includes:
acquiring an original image of the abnormal part, wherein the original image comprises a plurality of original waveform signals;
respectively filtering and amplifying the original waveform signals to obtain a plurality of analog signals;
respectively carrying out analog-to-digital conversion on the plurality of analog signals to obtain a plurality of digital signals;
and respectively drawing a one-dimensional oscillogram corresponding to each digital signal to obtain a first image.
In one possible implementation, generating the second image based on the plurality of waveform signals and the equivalent vector signal includes:
and adding the equivalent vector signal in the first image to obtain a second image.
In one possible implementation, the method further includes:
based on the second image, the behavior of the abnormal portion is determined.
In a possible implementation manner, each waveform signal includes a plurality of waveforms, and the determining the operation condition of the abnormal portion based on the second image includes:
determining start and end points of a plurality of waveforms in each waveform signal based on the equivalent vector signal;
determining a waveform characteristic of each waveform based on a start point and an end point of the plurality of waveforms;
and determining the operation condition of the abnormal part based on the waveform characteristics in the plurality of waveform signals.
The embodiment of the application provides an image processing method, and the method fuses a plurality of orthogonal signals in a plurality of waveform signals to obtain an equivalent vector signal, so that the equivalent vector signal can represent the comprehensive change trend of the waveform signals on three dimensions, and the change trend of the waveform signals can be more accurately reflected; and then the equivalent vector signal and a plurality of waveform signals are combined into a new image to reflect the abnormal condition of the abnormal part, so that the accuracy of the reflected abnormal condition of the abnormal part can be improved.
Fig. 3 is a flowchart of an image processing method according to an embodiment of the present application. An execution subject of the embodiment of the present application is a computer device, and is described by taking an example in which a target object is a human body, an abnormal portion is a heart, and a first image is an electrocardiographic image, with reference to fig. 3, the method includes:
step 301: the computer device acquires a first image of an abnormal portion of a target object, the target object being a human body, the first image including a plurality of waveform signals.
Each waveform signal is a one-dimensional waveform signal obtained by acquiring signals of a plurality of acquisition parts corresponding to the abnormal part, and each waveform signal corresponds to an axis generated by connecting one acquisition part with the abnormal part. In this embodiment, the target object is a human body, the abnormal portion is a heart, and the first image is an electrocardiographic image, and the plurality of waveform signals included in the first image are a plurality of lead signals, respectively.
In one implementation, the first image is a 12-lead electrocardiogram, then the plurality of lead signals are 12 lead signals included in the 12-lead electrocardiogram, the plurality of acquisition locations are six body surface locations on a left upper limb body surface location, a right upper limb body surface location, a left lower limb body surface location, and a chest of the human body, the six body surface locations are a body surface location V1 of a 4-intercostal space at a right sternal edge, a body surface location V2 of a 4-intercostal space at a left sternal edge, a body surface location V4 of an intersection point of a left clavicle midline and a 5-intercostal space, a body surface location V3 of a midpoint of V2 and V4, and a body surface location V5 of an intersection point of a V4 level and an anterior axillary line, and a body surface location V6 of an intersection point of a V4 level and an axillary midline. The plurality of axes are the axes corresponding to the plurality of guide shafts of the heart, respectively, which includes six guide shafts in the limb lead six-shaft system and six guide shafts in the chest lead six-shaft system.
The limb lead six-axis system is a guide coupling system formed by six guide coupling shafts after the six guide coupling shafts are obtained based on the axes generated by respectively connecting two upper limbs and the left lower limb of a human body with the heart in an imaginary manner. Three points with equal distance between the two upper limbs and the left lower limb form an equilateral triangle on the frontal plane of the human body, the heart is positioned in the center of the triangle, three sides of the equilateral triangle represent three standard limb guide coupling shafts, three vertical diagonals in the equilateral triangle represent three pressurizing unipolar guide coupling shafts, and the three standard limb guide coupling shafts and the three pressurizing unipolar guide coupling shafts form a limb lead six-axis system. Referring to fig. 4, fig. 4 is a schematic diagram of a limb lead six-axis system, in which three standard limb lead shafts are a standard i lead shaft, a standard ii lead shaft and a standard iii lead shaft, respectively, three pressurizing unipolar lead shafts are a pressurizing left limb lead shaft, a pressurizing right limb lead shaft and a pressurizing lower limb lead shaft, respectively, and lead signals corresponding to the six lead shafts are a standard i lead signal, a standard ii lead signal, a standard iii lead signal, a pressurizing left limb lead signal AVL, a pressurizing right limb lead signal AVR and a pressurizing lower limb lead signal AVF, respectively; the plurality of pilot shafts in fig. 4 are denoted by i, ii, iii, AVL, AVR, and AVF, respectively.
The chest lead six-axis system is a guide coupling system formed by six guide couplings after six guide couplings are obtained based on axes generated by respectively connecting six positions of a chest with heart hypothesis. Referring to fig. 5, fig. 5 is a schematic diagram of a chest lead six-axis system, where six lead axes are respectively a chest V1 lead axis, a chest V2 lead axis, a chest V3 lead axis, a chest V4 lead axis, a chest V5 lead axis and a chest V6 lead axis, and multiple lead signals corresponding to the six lead axes are respectively a chest V1 lead signal, a chest V2 lead signal, a chest V3 lead signal, a chest V4 lead signal, a chest V5 lead signal and a chest V6 lead signal; the plurality of pilot shafts in fig. 5 are denoted by V1, V2, V3, V4, V5, and V6, respectively.
In an embodiment of the present application, the computer device acquiring the first image includes the following steps (1) - (4):
(1) a computer device acquires an original image of an abnormal portion, the original image including a plurality of original waveform signals.
In one implementation, a computer device collects raw waveform signals through a signal collection component.
Optionally, the signal acquisition component includes a plurality of electrodes, each of which is connected to a plurality of acquisition locations of the target object, and is configured to extract a body surface bioelectric signal of the acquisition location, and transmit the body surface bioelectric signal to the acquisition circuit through a lead wire to obtain a plurality of original waveform signals, where the plurality of original waveform signals are unprocessed signals; optionally, the plurality of original waveform signals are all one-dimensional waveform signals.
(2) And the computer equipment respectively filters and amplifies the original waveform signals to obtain a plurality of analog signals.
In one implementation, the computer device performs filtering amplification on a plurality of original waveform signals through the acquisition circuit to obtain a plurality of analog signals, and sends the plurality of analog signals to the a/D analog-to-digital converter.
(3) The computer equipment respectively carries out analog-to-digital conversion on the plurality of analog signals to obtain a plurality of digital signals.
In one implementation, the computer device performs analog-to-digital conversion on the plurality of analog signals by an a/D analog-to-digital converter to obtain a plurality of digital signals, and transmits the plurality of digital signals to the digital processing software component.
(4) And respectively drawing the one-dimensional oscillogram corresponding to each digital signal by the computer equipment to obtain a first image.
In one implementation, after processing and analyzing each digital signal based on a digital processing software component, the computer device generates a one-dimensional oscillogram corresponding to each digital signal to obtain a first image, and displays a plurality of waveform signals included in the first image; referring to fig. 6, fig. 6 is a schematic diagram of a first image, which is a 12-lead electrocardiogram including 12 lead signals.
Referring to fig. 7, fig. 7 is a schematic diagram of a computer device acquiring an original image through a signal acquisition component, and then the original image sequentially flows through an acquisition circuit, an a/D analog-to-digital converter and a digital processing software component to obtain a first image; the computer equipment realizes effective processing on the original image through the signal acquisition component, the acquisition circuit, the A/D analog-to-digital converter and the digital processing software component, and obtains a first image which is convenient to analyze, display and process, thereby improving the efficiency of obtaining a plurality of orthogonal signals based on the first image in the subsequent process.
In the embodiment of the application, the original image is processed to obtain the plurality of waveform signals included in the first image, so that the efficiency of determining the plurality of orthogonal signals based on the plurality of waveform signals in the subsequent process is improved, the efficiency of obtaining the equivalent vector signal based on the orthogonal signals in the subsequent process can be improved, and the efficiency of image processing can be improved.
Step 302: the computer device determines a plurality of orthogonal signals from the plurality of waveform signals, the axes of the plurality of orthogonal signals being perpendicular to each other.
In some embodiments, the plurality of waveform signals include a plurality of first portion signals and a plurality of second portion signals, the plurality of first portion signals are waveform signals corresponding to a frontal plane of the abnormal portion, the plurality of second portion signals are waveform signals corresponding to a transverse plane of the abnormal portion, and the frontal plane and the transverse plane are perpendicular to each other; the computer device determines a plurality of orthogonal signals from the plurality of waveform signals, including the following two implementations:
in one implementation, the computer device obtains a first portion signal corresponding to the frontal plane and two second portion signals corresponding to the transverse plane respectively to obtain three orthogonal signals, and axes of the two second portion signals corresponding to the transverse plane are perpendicular to each other. In another implementation manner, the computer device respectively acquires two first part signals corresponding to the frontal plane and one second part signal corresponding to the transverse plane to obtain three orthogonal signals, and the axes of the two first part signals corresponding to the frontal plane are perpendicular to each other.
In the embodiment of the application, the first position signal and the second position signal respectively correspond to the frontal plane and the transverse plane, and the axes of the frontal plane and the transverse plane are perpendicular to each other, so that three orthogonal signals corresponding to the frontal plane and the transverse plane are respectively obtained, the obtained three orthogonal signals represent the comprehensive change trend of the waveform signals on three dimensions, and the multiple orthogonal signals in the multiple determined waveform signals are high in comprehensiveness and good in representativeness.
In some embodiments, the first part signal includes a first standard signal, a second standard signal, a third standard signal, a first compression signal, a second compression signal, and a third compression signal, the first standard signal and the first compression signal respectively correspond to a signal of a left upper limb of the target subject, the second standard signal and the second compression signal respectively correspond to a signal of a right upper limb of the target subject, the third standard signal and the third compression signal respectively correspond to a signal of a left lower limb of the target subject, and the first compression signal, the second compression signal, and the third compression signal are signals that enhance acquisition voltage acquisition. The plurality of second location signals includes a first location signal, a second location signal, a third location signal, a fourth location signal, a fifth location signal, and a sixth location signal, the first location signal, the second location signal, the third location signal, the fourth location signal, the fifth location signal, and the sixth location signal respectively corresponding to signals of six different locations of the front chest of the target subject.
In some embodiments, the first image is a 12-lead electrocardiogram, the first standard signal and the first compression signal are a standard i lead signal and a compression left limb lead signal AVL corresponding to a left upper limb of the person, the second standard signal and the second compression signal are a standard ii lead signal and a compression right limb lead signal AVR corresponding to a right upper limb of the person, and the third standard signal and the third compression signal are a standard iii lead signal and a compression lower limb lead signal AVF corresponding to a left lower limb of the person. The first position signal, the second position signal, the third position signal, the fourth position signal, the fifth position signal and the sixth position signal are respectively a chest V1 lead signal, a chest V2 lead signal, a chest V3 lead signal, a chest V4 lead signal, a chest V5 lead signal and a chest V6 lead signal corresponding to the anterior chest of the human being.
In this embodiment, the computer device acquires a chest V2 lead signal, a compression lower limb lead signal AVF and a chest V6 lead signal, respectively, to obtain three orthogonal signals; alternatively, the computer device acquires the Bid lead signal, the chest V1 lead signal and the chest V5 lead signal respectively to obtain three orthogonal signals.
In the embodiment of the present application, since the heart has a three-dimensional structure, the electrocardiographic signals are the representation of the electrical signals generated during the contraction and relaxation of the myocardium on the body surface, and are respectively around the body surface, the 12-lead electrocardiogram based on the wilson lead system represents the electrocardiographic changes on the front surface of the human body, each lead signal represents the secondary projection of the three-dimensional electrocardiographic signals of the heart on the acquisition part, and the projection diagram of the three-dimensional electrocardiographic signals of the heart is shown in fig. 8. Because the heart stereo electrocardiosignals are weak generally, a plurality of lead signals obtained by secondary projection have different losses, namely, the signals on each lead signal are lost, and the electrocardio image can reflect the abnormal condition of the heart inaccurately. In the embodiment of the present application, by selecting three orthogonal lead signals from the 12 lead signals, the three lead signals can represent signal distributions on axes in different directions, so that the three orthogonal lead signals can represent three-dimensional reflection of the electrical signals of the heart, and the three orthogonal lead signals have good comprehensiveness and high accuracy.
Step 303: the computer device obtains a signal value for each of the orthogonal signals at each sampling instant.
Each orthogonal signal is a signal in a time domain, the abscissa of each orthogonal signal is a sampling time, and the ordinate is a signal value.
In some embodiments, the first image is a 12-lead electrocardiogram, and the signal value at each sampling time in the orthogonal signals is the signal value of the voltage corresponding to the sampling time.
Step 304: the computer device sums the squares of the signal values of each of the orthogonal signals for each sampling instant to obtain a sum of the squares of the plurality of orthogonal signals, and squares the sum of the squares to obtain a vector value for the sampling instant.
In the embodiment of the application, the vector value of the equivalent vector signal at each sampling moment is obtained by squaring and re-evolution based on the signal values of the plurality of orthogonal signals, so that the vector value of the equivalent vector signal at each sampling moment obtained based on the vector values in the subsequent process represents the comprehensive signal value in the three-dimensional direction, the equivalent vector signal can represent the comprehensive change trend of the waveform signal in the three-dimensional direction, the fusion effect is improved, the representativeness of the equivalent vector signal is better, the abnormal condition of the abnormal part is reflected on the basis of a second image formed by the equivalent vector signal in the subsequent process, and the accuracy of the reflected abnormal condition can be improved.
In one implementation, the computer device respectively equates the axes corresponding to the three orthogonal signals to an X-axis, a Y-axis, and a Z-axis to form an equivalent three-dimensional lead coupling. Continuing with the example that the first image is a 12-lead electrocardiogram, the three orthogonal signals are respectively chest V2 lead signal, compression lower limb lead signal AVF and chest V6 lead signal, and the axes corresponding to chest V2 lead signal, compression lower limb lead signal AVF and chest V6 lead signal are respectively equivalent to X axis, Y axis and Z axis to form an equivalent three-dimensional lead coupling axis, so that the vector value of the equivalent vector signal at each sampling time can be obtained by the following equivalent formula.
The equivalent formula:
Figure BDA0003386663090000131
wherein, for each sampling instant, V6 represents the signal value of the thoracic V6 lead signal at that instant; v2 represents the signal value of thoracic V2 lead signal at that time; AVF represents the signal value of the pressurized lower limb lead signal AVF at the moment; m represents a signal value of the equivalent vector signal at the time, and an absolute value of the signal value is taken as a vector value.
Step 305: the computer device generates an equivalent vector signal based on each sample time and the vector value for each sample time.
The computer device draws an image by taking each sampling moment as a numerical value of an abscissa and taking a vector value of each sampling moment as a numerical value of an ordinate, and obtains an equivalent vector signal taking the sampling moment as the abscissa and the vector value as the ordinate.
In some embodiments, the first image is a 12-lead electrocardiogram; it should be noted that, because the vector value of the equivalent vector signal in this embodiment at any time is a positive value, that is, the wilson center end of the wilson system is equivalent to the zero point of the voltage value, and all QRS waves representing ventricular contraction are converted into positive waves, such conversion is not only beneficial to analyzing lead signals, but also beneficial to automatic analysis of current computer equipment, so that the calculation amount of waveform analysis is greatly reduced, and further, when the method provided by this embodiment of the present application is applied to a wearable miniaturized electrocardiographic analysis system, the calculation efficiency and application efficiency of the wearable miniaturized electrocardiographic analysis system will be improved.
Step 306: the computer device generates a second image based on the plurality of waveform signals and the equivalent vector signal.
Wherein the second image is used for reflecting the abnormal condition of the abnormal part. In one implementation, the computer device adds an equivalent vector signal to the first image, resulting in a second image. In this way, the second image includes the equivalent vector signal and the plurality of waveform signals at the same time, and the abnormal condition of the abnormal portion is reflected in common based on the plurality of waveform signals and the equivalent vector signal, so that the accuracy of the reflected abnormal condition of the abnormal portion can be improved.
In some embodiments, the first image is a 12-lead electrocardiogram, and the equivalent vector signal is added to the 12-lead electrocardiogram to obtain a second image, which is an image including 13 waveform signals.
In one implementation, the 12 lead signals and the equivalent vector signals are displayed on the same interface; for example, referring to fig. 9, fig. 9 is a schematic diagram of a 13-lead electrocardiogram consisting of 12 lead signals and equivalent vector signals, which are arranged at the bottom of the 12 lead signals as auxiliary lead signals for auxiliary analysis of the 12 lead signals. For example, if a signal of a target ii lead signal in the 12 lead signals at a certain sampling time is missing, the vector value corresponding to the sampling time in the equivalent vector signal may be assigned to the target ii lead signal to compensate for the missing of the signal on the target ii lead signal. In another implementation, the abnormal condition of the heart is reflected directly based on waveform characteristics of a plurality of waveforms in the equivalent vector signal.
Step 307: the computer device determines the operation condition of the abnormal part based on the second image.
Wherein each waveform signal comprises a plurality of waveforms; in this embodiment, the computer device determines start and end points of a plurality of waveforms in each waveform signal based on the equivalent vector signal; the computer device determining a waveform characteristic of each waveform based on the start and end points of the plurality of waveforms; the computer device determines an operation condition of the abnormal portion based on waveform features in the plurality of waveform signals.
In some embodiments, the first image is a 12-lead electrocardiogram, each waveform signal is a lead signal, the abscissa of the lead signal represents the sampling time, and the ordinate represents the voltage signal value. The multiple waveforms included in each lead signal are respectively a P wave, a QRS wave and a T wave; wherein, P wave is depolarization wave of atrium, QRS wave is depolarization wave of ventricle, and T wave is repolarization wave of ventricle. It should be noted that the start and end points of each waveform are used to determine the duration of each waveform, and after the duration of each waveform is determined, the lead signal can be segmented to obtain a plurality of waveforms, and the shape and duration of each waveform within its duration can represent the waveform characteristics of the waveform. For example, the duration of the P-wave is generally no more than 0.11 seconds, and the voltage amplitude is no more than 0.25 millivolts; if the duration of the P-wave exceeds 0.11 seconds, or the voltage amplitude exceeds 0.25 milliseconds, then an abnormal condition in the operation of the atrium is determined.
It should be noted that, because a plurality of lead signals obtained by the cardiac stereo electrocardiographic signal through the secondary projection all have different losses, and because different losses occur when the electrocardiographic signal changes caused by some cardiac diseases are projected on each lead signal, the start point and the end point of each waveform are difficult to position, so that when a doctor uses an electrocardiographic image, the doctor needs to combine a plurality of lead signals according to experience to determine the characteristic change of each electrocardiographic signal, and the complexity and difficulty of the doctor analyzing the cardiac diseases based on the electrocardiographic image are increased, thereby reducing the efficiency of reflecting the abnormal conditions of the heart based on the electrocardiographic image. In the embodiment of the application, the one-dimensional electrocardiosignals are inverted into the space electrocardio vector signals by using a three-dimensional equivalent coordinate system, so that when the abnormal condition of the heart is reflected and the running condition is determined based on a new electrocardio image consisting of a plurality of lead signals and equivalent vector signals, the abnormal condition of the heart can be analyzed in an auxiliary manner based on the equivalent vector signals; for example, the start and end points of a plurality of lead signals can be determined based on equivalent vector signals; therefore, the efficiency of reflecting the abnormal condition of the heart based on the electrocardio image is improved.
The embodiment of the application provides an image processing method, and the method fuses a plurality of orthogonal signals in a plurality of waveform signals to obtain an equivalent vector signal, so that the equivalent vector signal can represent the comprehensive change trend of the waveform signals on three dimensions, and the change trend of the waveform signals can be more accurately reflected; and then the equivalent vector signal and a plurality of waveform signals are combined into a new image to reflect the abnormal condition of the abnormal part, so that the accuracy of the reflected abnormal condition of the abnormal part can be improved.
In the above embodiments, the target object is a human body, but in other embodiments, the target object may be other creatures such as an animal, and this is not particularly limited in the embodiments of the present application.
Fig. 10 is a flowchart of an image processing method according to an embodiment of the present application. An execution subject of the embodiment of the present application is a computer device, and a target object is taken as an example for description, referring to fig. 10, the method includes:
step 1001: a computer device acquires a first image of an abnormal portion of a target object, the target object being a device, the first image including a plurality of waveform signals.
The first image is an image of an abnormal part of the equipment, and the abnormal part is a part of the equipment with an abnormal condition. Each waveform signal is a one-dimensional waveform signal obtained by acquiring signals of a plurality of acquisition parts corresponding to the abnormal part, and each waveform signal corresponds to an axis generated by connecting one acquisition part with the abnormal part. The implementation manner of acquiring the first image by the computer device is the same as the implementation manner of acquiring the first image in step 301, and is not described herein again.
In some embodiments, the device is a radio frequency antenna, the abnormal portion is a transmitter of the radio frequency antenna in an abnormal condition, the plurality of collecting portions are a plurality of directional transmitting antennas, and each waveform signal corresponds to an electromagnetic wave signal generated by connecting one transmitting antenna with the transmitter and corresponding to an axis.
Step 1002: the computer device determines a plurality of orthogonal signals from the plurality of waveform signals, the axes of the plurality of orthogonal signals being perpendicular to each other.
In some embodiments, the plurality of collection sites are a plurality of sites located respectively at the top, bottom, left side, right side, front side, back side, etc. of the abnormality site. If the abnormal part is taken as the center of the equipment, the plurality of collecting parts comprise a plurality of parts of the top part, the bottom part, the left part, the right part, the front part, the rear part and the like of the equipment; the plurality of waveform signals respectively correspond to an axis generated by connecting one acquisition part and one abnormal part.
In this embodiment, the computer device obtains signals corresponding to axes generated by connecting the abnormal portion and the collection portions located at the top, bottom and left sides of the abnormal portion in the plurality of waveform signals, respectively, and obtains three orthogonal signals, and the axes corresponding to the three orthogonal signals are perpendicular to each other. In another implementation mode, the computer device respectively acquires signals corresponding to axes generated by connecting the acquisition parts positioned on the left side, the right side and the bottom of the abnormal part and the abnormal part in the plurality of waveform signals to obtain three orthogonal signals, wherein the axes corresponding to the three orthogonal signals are mutually perpendicular.
In some embodiments, the device is a radio frequency antenna, the abnormal portion is a transmitter of the radio frequency antenna in an abnormal condition, and the plurality of acquisition portions are a plurality of directional transmitting antennas. The computer equipment acquires signals corresponding to the axes generated by the connection of the transmitting antennas positioned on the left side, the right side and the top of the transmitter and the transmitter respectively, and obtains three orthogonal signals.
In the embodiment of the application, the computer device obtains three orthogonal signals with mutually perpendicular central axes of the plurality of waveform signals, and the three orthogonal signals are respectively signals corresponding to the central axes in different directions, so that the three orthogonal signals represent the comprehensive change of the waveform signals in the three-dimensional direction, and further the equivalent vector signals are obtained in the subsequent process based on the three orthogonal signals, and the equivalent vector signals with good representativeness and high comprehensiveness can be obtained.
Step 1003: the computer device obtains a signal value for each of the orthogonal signals at each sampling instant.
Each orthogonal signal is a signal in a time domain, the abscissa of each orthogonal signal is a sampling time, and the ordinate is a signal value.
In some embodiments, the device is a radio frequency antenna, the orthogonal signal is an electromagnetic wave signal, and the signal value of the electromagnetic wave at each sampling time is the energy value of the electromagnetic wave corresponding to the sampling time.
Step 1004: the computer device sums the squares of the signal values of each of the orthogonal signals for each sampling instant to obtain a sum of the squares of the plurality of orthogonal signals, and squares the sum of the squares to obtain a vector value for the sampling instant.
In some embodiments, the device is a radio frequency antenna, the orthogonal signals are electromagnetic wave signals, the signal value of the electromagnetic wave at each sampling time is the energy value of the electromagnetic wave corresponding to the sampling time, the computer device sums the squares of the energy values of each electromagnetic wave signal for each sampling time to obtain the square sum of the plurality of electromagnetic wave signals, and the square sum is squared to obtain the vector value of the sampling time.
In the embodiment of the application, the vector value of the equivalent vector signal at each sampling moment is obtained by squaring and re-squaring the signal values based on the plurality of orthogonal signals, so that the vector value of the equivalent vector signal at each sampling moment represents the comprehensive signal value in the three-dimensional direction, the equivalent vector signal can represent the comprehensive change trend of the electromagnetic wave signal of the equipment in the three-dimensional direction, the equivalent vector signal has better representativeness, the abnormal condition of the abnormal part is reflected on the basis of the second image formed by the equivalent vector signal in the subsequent process, and the accuracy of the reflected abnormal condition can be improved.
Step 1005: the computer device generates an equivalent vector signal based on each sample time and the vector value for each sample time.
The computer device draws an image by taking each sampling moment as a numerical value of an abscissa and taking a vector value of each sampling moment as a numerical value of an ordinate, and obtains an equivalent vector signal taking the sampling moment as the abscissa and the vector value as the ordinate.
Step 1006: the computer device generates a second image based on the plurality of waveform signals and the equivalent vector signal.
Wherein the second image is used for reflecting the abnormal condition of the abnormal part. In one implementation, the computer device adds an equivalent vector signal to the first image, resulting in a second image. In this way, the second image includes the equivalent vector signal and the plurality of waveform signals at the same time, and the abnormal condition of the abnormal portion is reflected in common based on the plurality of waveform signals and the equivalent vector signal, so that the accuracy of the reflected abnormal condition of the abnormal portion can be improved.
In some embodiments, the device is an rf antenna, the abnormal portion is a transmitter of the rf antenna in an abnormal condition, and the plurality of waveform signals are electromagnetic wave signals. In one implementation, the plurality of electromagnetic wave signals and the equivalent vector signals are displayed on the same interface, so that the abnormal condition of the abnormal part is reflected based on the plurality of electromagnetic wave signals and the equivalent vector signals.
Step 1007: the computer device determines the operation condition of the abnormal part based on the second image.
Wherein each waveform signal comprises a plurality of waveforms; in this embodiment, the computer device determines start and end points of a plurality of waveforms in each waveform signal based on the equivalent vector signal; the computer device determining a waveform characteristic of each waveform based on the start and end points of the plurality of waveforms; the computer device determines an operation condition of the abnormal portion based on waveform features in the plurality of waveform signals. It should be noted that the start and end points of each waveform are used to determine the duration of each waveform, and after the duration of each waveform is determined, the lead signal can be segmented to obtain a plurality of waveforms, and the shape and duration of each waveform within its duration can represent the waveform characteristics of the waveform.
In the embodiment of the application, the waveform characteristics of each waveform are determined by determining the starting points and the end points of a plurality of waveforms, the starting points and the end points of the plurality of waveforms can represent the duration of each waveform, the waveform range of each waveform can be determined only after the starting points and the end points of each waveform are determined, the frequency and the like of the waveform can be determined based on the starting points and the end points of each waveform, the waveform characteristics of the waveform can be determined based on the waveform fluctuation, the duration, the frequency and the like, and the accuracy of the determined waveform characteristics can be improved.
The embodiment of the application provides an image processing method, and the method fuses a plurality of orthogonal signals in a plurality of waveform signals to obtain an equivalent vector signal, so that the equivalent vector signal can represent the comprehensive change trend of the waveform signals on three dimensions, and the change trend of the waveform signals can be more accurately reflected; and then the equivalent vector signal and a plurality of waveform signals are combined into a new image to reflect the abnormal condition of the abnormal part, so that the accuracy of the reflected abnormal condition of the abnormal part can be improved.
An embodiment of the present application further provides an image processing apparatus, and referring to fig. 11, the apparatus includes:
the acquiring module 1101 is configured to acquire a first image of an abnormal portion of a target object, where the first image includes a plurality of waveform signals, each waveform signal is a one-dimensional waveform signal obtained by acquiring signals of a plurality of acquiring portions corresponding to the abnormal portion, and each waveform signal corresponds to an axis generated by connecting one acquiring portion and the abnormal portion;
a first determining module 1102, configured to determine a plurality of orthogonal signals from the plurality of waveform signals, where axes of the plurality of orthogonal signals are perpendicular to each other;
a fusion module 1103, configured to fuse the multiple orthogonal signals to obtain an equivalent vector signal;
and a generating module 1104 for generating a second image based on the plurality of waveform signals and the equivalent vector signal, the second image being used for reflecting the abnormal condition of the abnormal part.
In one possible implementation manner, the plurality of waveform signals include a plurality of first portion signals and a plurality of second portion signals, the plurality of first portion signals are waveform signals corresponding to a frontal plane of the abnormal portion, the plurality of second portion signals are waveform signals corresponding to a transverse plane of the abnormal portion, and the frontal plane and the transverse plane are perpendicular to each other; a first determining module 1102, comprising:
the first acquisition unit is used for respectively acquiring a first part signal corresponding to the frontal plane and two second part signals corresponding to the transverse plane to obtain three orthogonal signals, and the axes of the two second part signals corresponding to the transverse plane are mutually vertical;
and the second acquisition unit is used for respectively acquiring two first part signals corresponding to the frontal plane and one second part signal corresponding to the transverse plane to obtain three orthogonal signals, and the axes of the two first part signals corresponding to the frontal plane are mutually vertical.
In one possible implementation manner, the first part signal includes a first standard signal, a second standard signal, a third standard signal, a first pressurizing signal, a second pressurizing signal, and a third pressurizing signal, the first standard signal and the first pressurizing signal respectively correspond to a signal of a left upper limb of the target object, the second standard signal and the second pressurizing signal respectively correspond to a signal of a right upper limb of the target object, the third standard signal and the third pressurizing signal respectively correspond to a signal of a left lower limb of the target object, and the first pressurizing signal, the second pressurizing signal, and the third pressurizing signal are signals obtained by enhancing the collected voltage; the plurality of second location signals include a first location signal, a second location signal, a third location signal, a fourth location signal, a fifth location signal, and a sixth location signal, the first location signal, the second location signal, the third location signal, the fourth location signal, the fifth location signal, and the sixth location signal respectively corresponding to signals of six different locations of the front chest of the target subject; a first acquisition unit configured to:
respectively acquiring a third pressurizing signal, a second position signal and a sixth position signal to obtain three orthogonal signals, wherein the axes of the second position signal and the sixth position signal are vertical to each other; alternatively, the first and second electrodes may be,
and respectively acquiring a second standard signal, a first position signal and a fifth position signal to obtain three orthogonal signals, wherein the axes of the first position signal and the fifth position signal are mutually vertical.
In one possible implementation, the fusing module 1103 is configured to:
acquiring a signal value of each orthogonal signal at each sampling moment;
for each sampling moment, summing the squares of the signal value of each orthogonal signal to obtain the square sum of a plurality of orthogonal signals, and squaring the square sum to obtain the vector value of the sampling moment;
an equivalent vector signal is generated based on each sample time instant and the vector value for each sample time instant.
In a possible implementation manner, the obtaining module 1101 is configured to:
acquiring an original image of the abnormal part, wherein the original image comprises a plurality of original waveform signals;
respectively filtering and amplifying the original waveform signals to obtain a plurality of analog signals;
respectively carrying out analog-to-digital conversion on the plurality of analog signals to obtain a plurality of digital signals;
and respectively drawing a one-dimensional oscillogram corresponding to each digital signal to obtain a first image.
In a possible implementation manner, the generating module 1104 is configured to add the equivalent vector signal to the first image to obtain the second image.
In one possible implementation, the apparatus further includes:
and the second determining module is used for determining the operation condition of the abnormal part based on the second image.
In a possible implementation manner, each waveform signal includes a plurality of waveforms, and the second determining module is configured to:
determining start and end points of a plurality of waveforms in each waveform signal based on the equivalent vector signal;
determining a waveform characteristic of each waveform based on a start point and an end point of the plurality of waveforms;
and determining the operation condition of the abnormal part based on the waveform characteristics in the plurality of waveform signals.
Fig. 12 shows a block diagram of a terminal 1200 according to an exemplary embodiment of the present application. The terminal 1200 may be a portable mobile terminal such as: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Terminal 1200 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, and so forth.
In general, terminal 1200 includes: a processor 1201 and a memory 1202.
The processor 1201 may include one or more processing cores, such as a 4-core processor, an 8-core processor, or the like. The processor 1201 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 1201 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1201 may be integrated with a GPU (Graphics Processing Unit) for rendering and drawing content required to be displayed by the display screen. In some embodiments, the processor 1201 may further include an AI (Artificial Intelligence) processor for processing a computing operation related to machine learning.
Memory 1202 may include one or more computer-readable storage media, which may be non-transitory. Memory 1202 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 1202 is used to store at least one program code for execution by the processor 1201 to implement the image processing methods provided by the method embodiments herein.
In some embodiments, the terminal 1200 may further optionally include: a peripheral interface 1203 and at least one peripheral. The processor 1201, memory 1202, and peripheral interface 1203 may be connected by a bus or signal line. Various peripheral devices may be connected to peripheral interface 1203 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1204, display 1205, camera assembly 1206, audio circuitry 1207, positioning assembly 1208, and power supply 1209.
The peripheral interface 1203 may be used to connect at least one peripheral associated with I/O (Input/Output) to the processor 1201 and the memory 1202. In some embodiments, the processor 1201, memory 1202, and peripheral interface 1203 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1201, the memory 1202 and the peripheral device interface 1203 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 1204 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuit 1204 communicates with a communication network and other communication devices by electromagnetic signals. The radio frequency circuit 1204 converts an electric signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electric signal. Optionally, the radio frequency circuit 1204 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 1204 may communicate with other terminals through at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 1204 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display screen 1205 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1205 is a touch display screen, the display screen 1205 also has the ability to acquire touch signals on or over the surface of the display screen 1205. The touch signal may be input to the processor 1201 as a control signal for processing. At this point, the display 1205 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 1205 may be one, disposed on a front panel of the terminal 1200; in other embodiments, the display 1205 can be at least two, respectively disposed on different surfaces of the terminal 1200 or in a folded design; in other embodiments, the display 1205 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 1200. Even further, the display screen 1205 may be arranged in a non-rectangular irregular figure, i.e., a shaped screen. The Display panel 1205 can be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), or other materials.
Camera assembly 1206 is used to capture images or video. Optionally, camera assembly 1206 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 1206 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
The audio circuitry 1207 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals into the processor 1201 for processing or inputting the electric signals into the radio frequency circuit 1204 to achieve voice communication. For stereo capture or noise reduction purposes, multiple microphones may be provided at different locations of terminal 1200. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 1201 or the radio frequency circuit 1204 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 1207 may also include a headphone jack.
The positioning component 1208 is configured to locate a current geographic Location of the terminal 1200 to implement navigation or LBS (Location Based Service). The Positioning component 1208 can be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, or the galileo System in russia.
The power supply 1209 is used to provide power to various components within the terminal 1200. The power source 1209 may be alternating current, direct current, disposable or rechargeable. When the power source 1209 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, terminal 1200 also includes one or more sensors 1210. The one or more sensors 1210 include, but are not limited to: acceleration sensor 1211, gyro sensor 1212, pressure sensor 1213, fingerprint sensor 1214, optical sensor 1215, and proximity sensor 1216.
The acceleration sensor 1211 can detect magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal 1200. For example, the acceleration sensor 1211 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 1201 may control the display screen 1205 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1211. The acceleration sensor 1211 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 1212 may detect a body direction and a rotation angle of the terminal 1200, and the gyro sensor 1212 may collect a 3D motion of the user on the terminal 1200 in cooperation with the acceleration sensor 1211. The processor 1201 can implement the following functions according to the data collected by the gyro sensor 1212: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
Pressure sensors 1213 may be disposed on the side frames of terminal 1200 and/or underlying display 1205. When the pressure sensor 1213 is disposed on the side frame of the terminal 1200, the user's holding signal of the terminal 1200 can be detected, and the processor 1201 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 1213. When the pressure sensor 1213 is disposed at a lower layer of the display screen 1205, the processor 1201 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 1205. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.
The fingerprint sensor 1214 is used for collecting a fingerprint of the user, and the processor 1201 identifies the user according to the fingerprint collected by the fingerprint sensor 1214, or the fingerprint sensor 1214 identifies the user according to the collected fingerprint. When the user identity is identified as a trusted identity, the processor 1201 authorizes the user to perform relevant sensitive operations, including unlocking a screen, viewing encrypted information, downloading software, paying, changing settings, and the like. The fingerprint sensor 1214 may be disposed on the front, back, or side of the terminal 1200. When a physical button or vendor Logo is provided on the terminal 1200, the fingerprint sensor 1214 may be integrated with the physical button or vendor Logo.
The optical sensor 1215 is used to collect the ambient light intensity. In one embodiment, the processor 1201 may control the display brightness of the display 1205 according to the ambient light intensity collected by the optical sensor 1215. Specifically, when the ambient light intensity is high, the display luminance of the display panel 1205 is increased; when the ambient light intensity is low, the display brightness of the display panel 1205 is turned down. In another embodiment, processor 1201 may also dynamically adjust the camera head 1206 shooting parameters based on the ambient light intensity collected by optical sensor 1215.
A proximity sensor 1216, also known as a distance sensor, is typically disposed on the front panel of the terminal 1200. The proximity sensor 1216 is used to collect a distance between the user and the front surface of the terminal 1200. In one embodiment, when the proximity sensor 1216 detects that the distance between the user and the front surface of the terminal 1200 gradually decreases, the processor 1201 controls the display 1205 to switch from the bright screen state to the dark screen state; when the proximity sensor 1216 detects that the distance between the user and the front surface of the terminal 1200 gradually becomes larger, the processor 1201 controls the display 1205 to switch from the breath-screen state to the bright-screen state.
Those skilled in the art will appreciate that the configuration shown in fig. 12 is not intended to be limiting of terminal 1200 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
Fig. 13 is a block diagram of a server 1300 provided by an embodiment of the present disclosure, where the server 1300 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 1301 and one or more memories 1302, where the memories 1302 are used for storing executable program codes, and the processors 1301 are configured to execute the executable program codes to implement the image Processing methods provided by the foregoing method embodiments. Of course, the server may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input/output, and the server may also include other components for implementing the functions of the device, which are not described herein again.
In an exemplary embodiment, there is also provided a storage medium including program code, such as a memory 1302 including program code, which is executable by the processor 1301 of the server 1300 to perform the image processing method described above. Alternatively, the storage medium may be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium may be a ROM (Read-Only Memory), a RAM (Random Access Memory), a CD-ROM (Compact Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.
An embodiment of the present application further provides a computer-readable storage medium, where at least one program code is stored in the computer-readable storage medium, and the at least one program code is loaded and executed by a processor to implement the image processing method according to any of the above implementation manners.
An embodiment of the present application further provides a computer program product, where the computer program product includes at least one program code, and the at least one program code is loaded and executed by a processor to implement the image processing method according to any of the above implementation manners.
In some embodiments, the computer program product according to the embodiments of the present application may be deployed to be executed on one computer device or on multiple computer devices located at one site, or may be executed on multiple computer devices distributed at multiple sites and interconnected by a communication network, and the multiple computer devices distributed at the multiple sites and interconnected by the communication network may constitute a block chain system.
The embodiment of the application provides an image processing method, and the method fuses a plurality of orthogonal signals in a plurality of waveform signals to obtain an equivalent vector signal, so that the equivalent vector signal can represent the comprehensive change trend of the waveform signals on three dimensions, and the change trend of the waveform signals can be more accurately reflected; and then the equivalent vector signal and a plurality of waveform signals are combined into a new image to reflect the abnormal condition of the abnormal part, so that the accuracy of the reflected abnormal condition of the abnormal part can be improved.
The present application is intended to cover various modifications, alternatives, and equivalents, which may be included within the spirit and scope of the present application.

Claims (12)

1. An image processing method, characterized in that the method comprises:
acquiring a first image of an abnormal part of a target object, wherein the first image comprises a plurality of waveform signals, each waveform signal is a one-dimensional waveform signal obtained by acquiring signals of a plurality of acquisition parts corresponding to the abnormal part, and each waveform signal corresponds to an acquisition part and an axis generated by connecting the acquisition part with the abnormal part;
determining a plurality of orthogonal signals from the plurality of waveform signals, wherein the axes of the plurality of orthogonal signals are perpendicular to each other;
fusing the orthogonal signals to obtain an equivalent vector signal;
and generating a second image based on the plurality of waveform signals and the equivalent vector signal, wherein the second image is used for reflecting the abnormal condition of the abnormal part.
2. The method according to claim 1, wherein the plurality of waveform signals include a plurality of first portion signals and a plurality of second portion signals, the plurality of first portion signals are waveform signals corresponding to a frontal plane of the abnormal portion, the plurality of second portion signals are waveform signals corresponding to a lateral plane of the abnormal portion, and the frontal plane and the lateral plane are perpendicular to each other;
the determining a plurality of orthogonal signals from the plurality of waveform signals comprises:
respectively acquiring a first part signal corresponding to the frontal plane and two second part signals corresponding to the transverse plane to obtain three orthogonal signals, wherein the axes of the two second part signals corresponding to the transverse plane are mutually vertical; alternatively, the first and second electrodes may be,
and respectively acquiring two first part signals corresponding to the frontal plane and a second part signal corresponding to the transverse plane to obtain three orthogonal signals, wherein the axes of the two first part signals corresponding to the frontal plane are mutually vertical.
3. The method of claim 2, wherein the first part signal comprises a first standard signal, a second standard signal, a third standard signal, a first compression signal, a second compression signal, and a third compression signal, the first standard signal and the first compression signal respectively correspond to signals of a left upper limb of the target subject, the second standard signal and the second compression signal respectively correspond to signals of a right upper limb of the target subject, the third standard signal and the third compression signal respectively correspond to signals of a left lower limb of the target subject, and the first compression signal, the second compression signal, and the third compression signal are signals obtained by enhancing the acquisition voltage; the plurality of second location signals includes a first location signal, a second location signal, a third location signal, a fourth location signal, a fifth location signal, and a sixth location signal, the first location signal, the second location signal, the third location signal, the fourth location signal, the fifth location signal, and the sixth location signal respectively correspond to signals of six different locations of a chest region of the target subject;
the obtaining of a first portion signal corresponding to the frontal plane and two second portion signals corresponding to the transverse plane, respectively, to obtain three orthogonal signals includes:
respectively acquiring the third pressurizing signal, the second position signal and the sixth position signal to obtain three orthogonal signals, wherein the axes of the second position signal and the sixth position signal are vertical to each other; alternatively, the first and second electrodes may be,
and respectively acquiring the second standard signal, the first position signal and the fifth position signal to obtain the three orthogonal signals, wherein the axes of the first position signal and the fifth position signal are mutually vertical.
4. The method of claim 1, wherein said fusing said plurality of orthogonal signals to obtain an equivalent vector signal comprises:
acquiring a signal value of each orthogonal signal at each sampling moment;
for each sampling moment, summing the squares of the signal values of each of the orthogonal signals to obtain a sum of squares of the plurality of orthogonal signals, and squaring the sum of squares to obtain a vector value of the sampling moment;
generating the equivalent vector signal based on the each sampling instant and the vector value of the each sampling instant.
5. The method of claim 1, wherein the acquiring a first image of an abnormality of a target object comprises:
acquiring an original image of the abnormal part, wherein the original image comprises a plurality of original waveform signals;
respectively filtering and amplifying the original waveform signals to obtain a plurality of analog signals;
respectively carrying out analog-to-digital conversion on the plurality of analog signals to obtain a plurality of digital signals;
and respectively drawing a one-dimensional oscillogram corresponding to each digital signal to obtain the first image.
6. The method of claim 1, wherein generating a second image based on the plurality of waveform signals and the equivalent vector signal comprises:
and adding the equivalent vector signal to the first image to obtain the second image.
7. The method of claim 1, further comprising:
and determining the operation condition of the abnormal part based on the second image.
8. The method of claim 7, wherein each waveform signal includes a plurality of waveforms, and wherein determining the behavior of the abnormal portion based on the second image comprises:
determining start and end points of a plurality of waveforms in each waveform signal based on the equivalent vector signal;
determining a waveform characteristic of each waveform based on start and end points of the plurality of waveforms;
and determining the operation condition of the abnormal part based on the waveform characteristics in the plurality of waveform signals.
9. An image processing apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring a first image of an abnormal part of a target object, wherein the first image comprises a plurality of waveform signals, each waveform signal is a one-dimensional waveform signal obtained by acquiring signals of a plurality of acquisition parts corresponding to the abnormal part, and each waveform signal corresponds to an acquisition part and an axis generated by connecting the abnormal part;
a first determining module, configured to determine a plurality of orthogonal signals from the plurality of waveform signals, wherein axes of the plurality of orthogonal signals are perpendicular to each other;
the fusion module is used for fusing the orthogonal signals to obtain an equivalent vector signal;
and the generating module is used for generating a second image based on the plurality of waveform signals and the equivalent vector signal, and the second image is used for reflecting the abnormal condition of the abnormal part.
10. A computer device comprising one or more processors and one or more memories having at least one program code stored therein, the at least one program code being loaded and executed by the one or more processors to implement the image processing method of any one of claims 1 to 8.
11. A computer-readable storage medium, wherein at least one program code is stored in the storage medium, the at least one program code being loaded and executed by a processor to implement the image processing method according to any one of claims 1 to 8.
12. A computer program product, characterized in that it comprises at least one program code which is loaded and executed by a processor to implement the image processing method according to any one of claims 1 to 8.
CN202111452376.2A 2021-12-01 2021-12-01 Image processing method, image processing device, computer equipment, storage medium and product Pending CN114330419A (en)

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