Electrode anomaly detection method, device and computer equipment

Abstract

The application relates to an electrode anomaly detection method and device and a computer device. The method is applied to an electrical impedance imaging system, the electrical impedance imaging system comprises multiple electrodes, and the method comprises the following steps: determining multiple groups of excitation electrodes and response electrodes in the multiple electrodes according to a preset rule; collecting multiple response signals based on each group of excitation electrodes and response electrodes; dividing the multiple response signals into multiple response signal groups according to each group of excitation electrodes and response electrodes; respectively constructing a corresponding first fitting image according to each response signal group; and determining a target abnormal electrode according to the multiple first fitting images, so that the abnormal electrode can be quickly positioned.

Description

Technical Field

[0001] This application relates to the field of EIT imaging technology, and in particular to a method, apparatus and computer equipment for detecting electrode anomalies. Background Technology

[0002] With the development of the medical imaging field, EIT (electrical impedance tomography) imaging technology has emerged. Its working principle is to place a certain number of electrodes on the surface of the object to be scanned, inject a safe current and measure the surface voltage of other electrodes, and reconstruct the internal impedance value or the change value of impedance of the object to be scanned based on the relationship between voltage and current to form an image.

[0003] In related technologies, although it is possible to reconstruct the internal impedance value or the change value of impedance of the object to be scanned based on the relationship between voltage and current to form an image, it is not possible to quickly locate the position of abnormal electrodes when the displayed image is distorted. Summary of the Invention

[0004] Therefore, it is necessary to provide an electrode anomaly detection method, apparatus, and computer equipment that can quickly locate abnormal electrodes to address the aforementioned technical problems.

[0005] In a first aspect, this application provides an electrode anomaly detection method applied to an electrical impedance imaging system, the electrical impedance imaging system comprising multiple electrodes, the method comprising: determining multiple sets of excitation electrodes and response electrodes among the multiple electrodes according to preset rules; acquiring multiple response signals based on each set of excitation electrodes and response electrodes; dividing the multiple response signals into multiple response signal groups based on each set of excitation electrodes and response electrodes; constructing a corresponding first fitted image according to each response signal group; and determining the target abnormal electrode based on the multiple first fitted images.

[0006] In one embodiment, determining multiple sets of excitation electrodes and response electrodes among multiple electrodes according to preset rules includes: sequentially using each electrode as a positive excitation electrode, the opposite electrode as a negative excitation electrode, and the remaining electrode as a response electrode to determine multiple sets of excitation electrodes and response electrodes; or sequentially using two adjacent electrodes as excitation electrodes and the remaining electrode as a response electrode to determine multiple sets of excitation electrodes and response electrodes.

[0007] In one embodiment, dividing the plurality of response signals into a plurality of response signal groups for each set of excitation electrodes and response electrodes includes: dividing the plurality of response signals for each set of excitation electrodes and response electrodes to determine a plurality of initial response signal groups; taking the response signal corresponding to the excitation electrode in the plurality of initial response signal groups as the response signal to be corrected; and setting the response signal to be corrected in the plurality of initial response signal groups to zero to obtain a plurality of response signal groups.

[0008] In one embodiment, constructing a first fitted image corresponding to each response signal group includes: having multiple electrodes with consecutive numbers; sorting the multiple response signals in the target response signal group in ascending order of number, starting with the response signal collected by the electrode adjacent to the positive excitation electrode in the direction of increasing number; the target response signal group being any one of the multiple response signal groups; determining the amplitude of each response signal based on the sorted target response signal group; and constructing a first fitted image corresponding to the target response signal group based on the amplitude of each response signal and the sorted target response signal group.

[0009] In one embodiment, determining the target abnormal electrode based on a plurality of first fitted images includes: acquiring a first standard fitted image corresponding to each response signal group; and determining the target abnormal electrode based on the first standard fitted image corresponding to each response signal group and the first fitted image.

[0010] In one embodiment, obtaining the first standard fitting image corresponding to each response signal group includes: obtaining the body posture information of the scanned object corresponding to the response signal group; and determining the first standard fitting image corresponding to each response signal group based on the body posture information.

[0011] In one embodiment, determining the target abnormal electrode based on the first standard fitted image and the first fitted image corresponding to each response signal group includes: matching the first standard fitted image of each response signal group with the corresponding first fitted image, and taking the electrode of the response signal corresponding to the mismatch position as the initial abnormal electrode of each response signal group; and determining the target abnormal electrode based on the initial abnormal electrode of each response signal group.

[0012] In one embodiment, determining the target abnormal electrode based on the initial abnormal electrode of each response signal group includes: constructing a second fitted image for each response signal in each response signal group; obtaining a second standard fitted image corresponding to each response signal in each response signal group; and determining the target abnormal electrode based on the second standard fitted image and the second fitted image corresponding to each response signal in each response signal group.

[0013] Secondly, this application also provides an electrode anomaly detection device. The device includes:

[0014] The determination module is used to determine multiple sets of excitation electrodes and response electrodes among multiple electrodes according to preset rules;

[0015] The acquisition module is used to acquire multiple response signals based on each set of excitation electrodes and response electrodes;

[0016] The partitioning module is used to divide the multiple response signals into multiple response signal groups based on each group of excitation electrodes and response electrodes;

[0017] A construction module is used to construct the corresponding first fitted image based on each group of response signals;

[0018] The determination module is also configured to determine the target abnormal electrode based on a plurality of the first fitted images.

[0019] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement any of the methods described in the first aspect above.

[0020] The aforementioned electrode anomaly detection method, apparatus, and computer equipment determine multiple sets of excitation electrodes and response electrodes among multiple electrodes according to preset rules, and collect multiple response signals based on each set of excitation electrodes and response electrodes; then, the multiple response signals are divided into multiple response signal groups according to each set of excitation electrodes and response electrodes; and a corresponding first fitting image is constructed based on each response signal group; finally, the target abnormal electrode is determined based on the multiple first fitting images, thereby achieving rapid localization of abnormal electrodes. Attached Figure Description

[0021] Figure 1 This is a diagram illustrating the application environment of an electrode anomaly detection method in one embodiment.

[0022] Figure 2 This is a flowchart illustrating an electrode anomaly detection method in one embodiment;

[0023] Figure 3 This is a flowchart illustrating the division of multiple response signal groups in one embodiment;

[0024] Figure 4 This is a schematic diagram of the layout of multiple electrodes in another embodiment;

[0025] Figure 5 This is a schematic diagram of the first fitted image of the opposing excitation-neighbor measurement in another embodiment;

[0026] Figure 6 This is a schematic diagram of the first fitted image of adjacent excitations-adjacent measurements in another embodiment;

[0027] Figure 7 This is a schematic diagram of the first fitted image of each group of response signals during a counter-excitation-adjacent measurement, as shown in another embodiment.

[0028] Figure 8 This is a schematic diagram of the first fitted image of each group of response signals during adjacent excitation-adjacent measurement in another embodiment;

[0029] Figure 9 This is a schematic diagram of the various second fitted images of the response signal when electrode 1 is the positive excitation electrode and electrode 9 is the negative excitation electrode in another embodiment.

[0030] Figure 10 This is a schematic diagram of the various second fitted images of the response signal when electrode 1 is the positive excitation electrode and electrode 2 is the negative excitation electrode in another embodiment.

[0031] Figure 11 This is a structural block diagram of an electrode anomaly detection device in one embodiment;

[0032] Figure 12 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0034] EIT, or bioelectrical impedance tomography, is a novel medical functional imaging technique. Its working principle involves placing a number of electrodes on the surface of the object to be scanned. By injecting a safe current and measuring the surface voltage of the other electrodes, the internal electrical impedance value or its change is reconstructed based on the relationship between voltage and current, thus creating an image. Because this method does not use radionuclides or radiation for imaging, it is harmless to the object being scanned, allowing for repeated measurements and reuse. It also offers fast imaging speed and functional imaging capabilities. EIT technology has many advantages, such as being non-invasive, posing no ionizing or radiation hazard, having a simple system structure, and being easy to measure. It can be applied to rapid, portable imaging environments and has broad application prospects for continuous dynamic image monitoring of physiological activities in the cardiovascular system, esophagus, and stomach of the object being scanned.

[0035] Because EIT (Electrical Impedance Imaging) systems require traversing the locations of all electrodes for excitation, 16 electrodes will form 256 independent measurement channels (16×16). These response signals constitute the basic data source for the system's reconstructed image. However, related technologies have significant limitations in signal quality assessment: most systems rely solely on a single numerical threshold (e.g., signal-to-noise ratio greater than 55 dB) or visual inspection of the reconstructed image to identify anomalous signals, lacking intuitive tools for analyzing the spatial distribution characteristics of the original signal. While related technologies can reconstruct the internal impedance value or impedance change of the scanned object based on the relationship between voltage and current for imaging, they cannot quickly locate the abnormal electrode when the displayed image is distorted.

[0036] The electrode anomaly detection method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104, or it can be located in the cloud or on another network server. Server 104 is used to execute the electrode anomaly detection method. Server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0037] To address the aforementioned problems, in one embodiment of this application, such as Figure 2 As shown, an electrode anomaly detection method is provided, applied to an electrical impedance imaging system, the electrical impedance imaging system including multiple electrodes, the method comprising the following steps:

[0038] Step 201: Determine multiple sets of excitation electrodes and response electrodes among multiple electrodes according to preset rules.

[0039] This involves grouping multiple electrodes in a power impedance imaging system according to preset rules, resulting in multiple groups of excitation electrodes and corresponding response electrodes. There are overlapping electrodes among the excitation and response electrodes in each group.

[0040] The preset rules include adjacent excitation-adjacent measurement or opposing excitation-adjacent measurement. Adjacent excitation-adjacent measurement involves using two adjacent electrodes from a plurality of electrodes as excitation electrodes and measuring the responses of each of the two adjacent electrodes. Opposing excitation-adjacent measurement involves using two opposing electrodes from a plurality of electrodes as excitation electrodes and measuring the responses of each of the two adjacent electrodes.

[0041] The excitation electrode is the electrode that generates an excitation to the electrical impedance imaging system and outputs the excitation to the object to be scanned. The response electrode is the electrode that collects the response of the object to be scanned based on the excitation after the excitation electrode outputs the excitation to the object to be scanned.

[0042] It should be noted that the objects to be scanned are substances with different electrical conductivity, such as the human body, fluids (oil / water / gas), solid particles and fluids, rocks / soil with different porosities, healthy and damaged materials, and areas with different water content.

[0043] Step 202: Acquire multiple response signals based on each set of excitation electrodes and response electrodes.

[0044] The response signal is the response of the object to be scanned on each response electrode after the electrical impedance imaging system outputs the excitation. In this embodiment, the response signal is a voltage differential signal, that is, the signal difference between two response electrodes. After receiving the voltage signals from the two response electrodes, the difference between the two signals is calculated to obtain the response signal. The response electrodes are all the electrodes other than the excitation electrode among the multiple electrodes.

[0045] That is, under the action of the excitation electrodes of each group, the response signal is collected on the response electrodes of each group.

[0046] Step 203: Divide the multiple response signals into multiple response signal groups based on each group of excitation electrodes and response electrodes.

[0047] The acquired response signals are grouped according to each group of excitation electrodes and response electrodes to obtain multiple response signal groups, where each response signal group corresponds to each group of excitation electrodes and response electrodes.

[0048] Step 204: Construct the corresponding first fitted image for each response signal group.

[0049] The first fitted image is a fitted image constructed based on the response signal group, which is a saddle diagram in this embodiment.

[0050] That is, construct the first fitted image corresponding to each response signal group based on each response signal group.

[0051] Specifically, after obtaining the amplitude values ​​of each response signal, a first fitted image is constructed according to the order of each response electrode.

[0052] Step 205: Determine the target abnormal electrode based on multiple first fitted images.

[0053] For example, under ideal conditions, the fitting curve of the first fitted image is a continuous saddle plot. When there is an anomaly, the fitting curve of the first fitted image will be distorted. The abnormal response signal can be located according to the location of the distortion, and the response electrode corresponding to the abnormal response signal is taken as the target abnormal electrode.

[0054] A target anomalous electrode is an electrode that is abnormal in the electrical impedance tomography (EI) system. For example, an electrode that has poor contact with the object being scanned is considered a target anomalous electrode.

[0055] In the above-mentioned electrode anomaly detection method, multiple sets of excitation electrodes and response electrodes are determined among multiple electrodes according to preset rules, and multiple response signals are collected based on each set of excitation electrodes and response electrodes; then, the multiple response signals are divided into multiple response signal groups according to each set of excitation electrodes and response electrodes; and a corresponding first fitting image is constructed according to each response signal group; finally, the target abnormal electrode is determined based on the multiple first fitting images, thereby quickly locating the abnormal electrode.

[0056] For example, such as Figure 4 As shown, the multiple electrodes in the electrical impedance imaging system are arranged in a ring.

[0057] In other embodiments of this application, determining multiple sets of excitation electrodes and response electrodes among multiple electrodes according to preset rules includes:

[0058] Each electrode is sequentially used as a positive excitation electrode, the opposite electrode as a negative excitation electrode, and the remaining electrodes as response electrodes, thus determining multiple sets of excitation electrodes and response electrodes.

[0059] It should be noted that the preset rules include two measurement modes: opposing excitation-adjacent measurement and adjacent excitation-adjacent measurement.

[0060] For example, in a specific embodiment of this application, the multiple electrodes are 16 electrodes arranged in a ring. The opposing excitation-adjacent measurement is as follows: electrode 1 is used as the positive excitation electrode, electrode 9 is used as the negative excitation electrode, and all electrodes other than electrode 1 and electrode 9 are used as response electrodes, thereby determining one set of excitation electrodes and response electrodes among multiple sets of excitation electrodes and response electrodes.

[0061] For example, in a specific embodiment of this application, the multiple electrodes are 16 electrodes arranged in a ring. The opposing excitation-adjacent measurement is as follows: electrode 2 is used as the positive excitation electrode, electrode 10 is used as the negative excitation electrode, and all electrodes other than electrode 2 and electrode 10 are used as response electrodes, thereby determining one set of excitation electrodes and response electrodes among multiple sets of excitation electrodes and response electrodes.

[0062] For example, in a specific embodiment of this application, the multiple electrodes are 16 electrodes arranged in a ring. The opposing excitation-adjacent measurement is as follows: electrode 3 is used as the positive excitation electrode, electrode 11 is used as the negative excitation electrode, and all electrodes other than electrode 3 and electrode 11 are used as response electrodes, thereby determining one set of excitation electrodes and response electrodes among multiple sets of excitation electrodes and response electrodes.

[0063] Alternatively, two adjacent electrodes can be used as excitation electrodes in sequence, and the remaining electrodes can be used as response electrodes to determine multiple sets of excitation electrodes and response electrodes.

[0064] For example, in a specific embodiment of this application, the multiple electrodes are 16 electrodes arranged in a ring. The adjacent excitation-adjacent measurement is to use electrode 1 as the positive excitation electrode, electrode 2 as the negative excitation electrode, and all electrodes other than electrode 1 and electrode 2 as response electrodes, thereby determining one set of excitation electrodes and response electrodes among multiple sets of excitation electrodes and response electrodes.

[0065] For example, in a specific embodiment of this application, the multiple electrodes are 16 electrodes arranged in a ring. The adjacent excitation-adjacent measurement is to use electrode 2 as the positive excitation electrode, electrode 3 as the negative excitation electrode, and all electrodes other than electrode 2 and electrode 3 as response electrodes, thereby determining one set of excitation electrodes and response electrodes among multiple sets of excitation electrodes and response electrodes.

[0066] For example, in a specific embodiment of this application, the multiple electrodes are 16 electrodes arranged in a ring. The adjacent excitation-adjacent measurement is to use electrode 3 as the positive excitation electrode, electrode 4 as the negative excitation electrode, and all electrodes other than electrode 3 and electrode 4 as response electrodes, thereby determining one set of excitation electrodes and response electrodes among multiple sets of excitation electrodes and response electrodes.

[0067] In other embodiments of this application, such as Figure 3 As shown, dividing the multiple response signals into multiple response signal groups based on each group of excitation electrodes and response electrodes includes:

[0068] Step 301: Divide the multiple response signals into groups of excitation electrodes and response electrodes to determine multiple initial response signal groups.

[0069] The acquired response signals are grouped according to each group of excitation electrodes and response electrodes to obtain multiple initial response signal groups, where each initial response signal group corresponds to each group of excitation electrodes and response electrodes.

[0070] For example, when electrode 1 is used as the positive excitation electrode and electrode 9 is used as the negative excitation electrode, the multiple response signals obtained by using all electrodes other than electrode 1 and electrode 9 as response electrodes constitute a set of initial response signal groups.

[0071] For example, when electrode 2 is used as the positive excitation electrode and electrode 10 is used as the negative excitation electrode, the multiple response signals obtained by using all electrodes other than electrode 2 and electrode 10 as response electrodes constitute a set of initial response signal groups.

[0072] Step 302: Take the response signal corresponding to the excitation electrode from the multiple initial response signal groups as the response signal to be corrected.

[0073] It should be noted that the response signal is the voltage difference signal between the two response electrodes, that is, the signal difference between the two response electrodes. Specifically, after receiving the voltage signals of the two response electrodes, the difference between the two signals is calculated to obtain the response signal. The response signal to be corrected is the response signal of the corresponding two response electrodes, including the excitation electrode.

[0074] For example, when electrode 1 is used as the positive excitation electrode and electrode 9 is used as the negative excitation electrode, the signals collected between electrode 1 and electrode 2, between electrode 8 and electrode 9, between electrode 9 and electrode 10, and between electrode 16 and electrode 1 are all response signals to be corrected.

[0075] Step 303: Set the response signal to be corrected in the multiple initial response signal groups to zero to obtain multiple response signal groups.

[0076] The values ​​of the response signals to be corrected in each initial response signal group are set to zero, thus obtaining multiple response signal groups.

[0077] It should be noted that in practical applications, the response signals to be corrected are considered invalid data. If each response signal to be corrected is used together with other valid response signals to construct the first fitted image, the fitting curve of the first fitted image will be abnormal, making it impossible to determine the target abnormal electrode. Setting each response signal to be corrected to zero can effectively prevent the above situation from occurring.

[0078] In other embodiments of this application, constructing a corresponding first fitted image based on each group of response signals includes:

[0079] Step 1: Sort the multiple response signals in the target response signal group in ascending order of their numbers, starting with the response signal collected by the electrode adjacent to the positive excitation electrode in the direction of increasing number.

[0080] Table 1

[0081]

[0082] For example, for counter-excitation-adjacent measurement, as shown in Table 1, the response signals when electrode 1 is the positive excitation electrode and electrode 9 is the negative excitation electrode are as follows: response signals of electrodes 2 and 3 are collected; response signals of electrodes 3 and 4 are collected; response signals of electrodes 4 and 5 are collected; response signals of electrodes 5 and 6 are collected; response signals of electrodes 6 and 7 are collected; response signals of electrodes 7 and 8 are collected; response signals of electrodes 10 and 11 are collected; response signals of electrodes 11 and 12 are collected; response signals of electrodes 12 and 13 are collected; response signals of electrodes 13 and 14 are collected; response signals of electrodes 14 and 15 are collected; response signals of electrodes 15 and 16 are collected. The response signals of electrodes 2 and 3 are the initial response signals.

[0083] Table 2

[0084]

[0085] For example, for adjacent excitation-adjacent measurement as shown in Table 2 above, the response signals when electrode 1 is the positive excitation electrode and electrode 2 is the negative excitation electrode are as follows: response signals of electrodes 3 and 4 are collected; response signals of electrodes 4 and 5 are collected; response signals of electrodes 5 and 6 are collected; response signals of electrodes 6 and 7 are collected; response signals of electrodes 7 and 8 are collected; response signals of electrodes 8 and 9 are collected; response signals of electrodes 9 and 10 are collected; response signals of electrodes 10 and 11 are collected; response signals of electrodes 11 and 12 are collected; response signals of electrodes 12 and 13 are collected; response signals of electrodes 13 and 14 are collected; response signals of electrodes 14 and 15 are collected; response signals of electrodes 15 and 16 are collected. The response signals of electrodes 3 and 4 are the initial response signals.

[0086] Among them, multiple electrodes are numbered consecutively; the target response signal group is any one of the multiple response signal groups.

[0087] It should be noted that although the target response signal group is one of multiple response signal groups, in practice, the relevant steps in this embodiment will be executed for each of the multiple response signal groups.

[0088] It is worth noting that, attached Figure 5 The first fitted image of the opposing excitation-neighbor measurement is shown, with appended... Figure 6 The first fitted image of adjacent excitations and adjacent measurements is shown, with appended... Figure 7 The diagram shows a first fitted image of each group of response signals during a counter-excitation-adjacent measurement. Exemplarily, 1-9 represent the positive excitation electrode of this first fitted image as electrode 1, and the negative excitation electrode as electrode 9. (See attached diagram) Figure 8The diagram shows a first fitted image of each response signal group during adjacent excitation-adjacent measurement, exemplarily, where 1-2 represent the positive excitation electrode of the first fitted image as electrode 1 and the negative excitation electrode as electrode 2.

[0089] Step 2: Based on the sorted target response signal group, determine the amplitude of each response signal.

[0090] It should be noted that the response signal is a voltage differential signal between the two response electrodes, and the amplitude of the response signal is the voltage amplitude of the voltage differential signal between the two response electrodes.

[0091] Step 3: Based on the amplitude of each response signal and the sorted target response signal group, construct the first fitted image of the corresponding target response signal group.

[0092] That is, based on the order of each response signal in the sorted target response signal group, and according to the amplitude of each response signal in the target response signal group, a fitting is performed to obtain the first fitted image corresponding to the target response signal group.

[0093] In other embodiments of this application, determining the target anomalous electrode based on a plurality of first fitted images includes:

[0094] Step 1: Obtain the first standard fitted image corresponding to each response signal group.

[0095] The first standard fitted image is the standard fitted image that matches the body shape information of the scanned object and shows no abnormalities in multiple electrodes. It should be noted that the fitted curve of the fitted image is also related to the chest circumference and chest shape of the scanned object.

[0096] It should be noted that in an ideal homogeneous medium, the fitting curve of the fitted image should present a symmetrical saddle shape. However, when simulating the shape of the chest cavity, the fitting curve of the fitted image will have slight deformation. Furthermore, the fitting curve of the fitted image is also related to the chest size and shape of the scanned object. Based on the chest size and shape of the scanned object, a suitable first standard fitted image can be selected and compared with the first fitted image.

[0097] Step 2: Determine the target abnormal electrode based on the first standard fitted image and the first fitted image corresponding to each response signal group.

[0098] That is, by comparing the fitting curves of the first standard fitting image corresponding to each response signal group with the fitting curves of the first fitting image, the target abnormal electrode can be determined.

[0099] In other embodiments of this application, obtaining the first standard fitted image corresponding to each group of response signals includes:

[0100] Step 1: Obtain the body posture information of the scanned object corresponding to the response signal group.

[0101] The scanned object is the object to be subjected to electrical impedance tomography, and the body posture information is the relevant information about the body posture of the scanned object, such as the size and shape of the chest.

[0102] Step 2: Based on the body posture information, determine the first standard fitted image corresponding to each response signal group.

[0103] That is, based on the body posture information of the scanned object, a first standard fitted image corresponding to the body posture information of the scanned object is determined.

[0104] It should be noted that, in one embodiment of this application, a database of various body posture information and corresponding first standard fitting images is pre-constructed, which can be queried according to the body posture information of the actual scanned object to obtain the first standard fitting image corresponding to the body posture information of the actual scanned object.

[0105] In other embodiments of this application, determining the target abnormal electrode based on the first standard fitted image and the first fitted image corresponding to each response signal group includes:

[0106] Step 1: Match the first standard fitted image of each response signal group with the corresponding first fitted image, and take the electrode of the response signal at the mismatch position as the initial abnormal electrode of each response signal group.

[0107] That is, the first standard fitted image of each response signal group is compared with the corresponding first fitted image to determine the response electrode of the response signal corresponding to multiple mismatch positions, and the determined electrode is used as the initial abnormal electrode of each response signal group.

[0108] For example, in practical applications, the fitting curve of an abnormal first fitted image generally falls into two categories. One is where the excitation electrode corresponding to the first fitted image is abnormal. In this case, the overall fitting curve of the first fitted image is severely distorted and does not correspond to the fitting curve of the first standard fitted image at all. The excitation electrode corresponding to this fitted image is then used as the initial abnormal electrode. The other category is where the response electrode corresponding to the first fitted image is abnormal. In this case, the fitting curve of the first fitted image is partially distorted. Comparing it with the fitting curve of the first standard fitted image, some curves will not correspond. The response signal that most closely matches the non-corresponding curves is found, and the two response electrodes corresponding to these response signals are used as the initial abnormal electrodes.

[0109] It should be noted that analyzing only one first fitted image can only identify two initial anomalous electrodes, but cannot determine which of the two initial anomalous electrodes is the actual target anomalous electrode where the anomaly occurs. Therefore, it is necessary to analyze each first fitted image to determine the initial anomalous electrode for each response signal group, laying the foundation for subsequently identifying the actual target anomalous electrode where the anomaly occurs.

[0110] Step 2: Determine the target abnormal electrode based on the initial abnormal electrode of each response signal group.

[0111] That is, the repeated initial abnormal electrode is determined from the initial abnormal electrode of each response signal group, and the repeated initial abnormal electrode is used as the target abnormal electrode.

[0112] For example, if electrode 1 is abnormal, then electrode 1 must exist in the initial abnormal electrodes of each response signal group. The step of determining the target abnormal electrode based on the initial abnormal electrode of each response signal group is actually the process of taking the intersection of the initial abnormal electrodes of each response signal group, and the intersection is the target abnormal electrode.

[0113] In other embodiments of this application, determining the target abnormal electrode based on the initial abnormal electrode of each response signal group includes:

[0114] Step 1: Construct a second fitted image for each response signal in each response signal group.

[0115] In this embodiment, the second fitted image is a sine wave diagram of the response signal.

[0116] For example, Appendix Figure 9 The image shows the second fitted images of the response signal when electrode 1 is the positive excitation electrode and electrode 9 is the negative excitation electrode. (See attached image.) Figure 10 As shown, these are the second fitted images of the response signal when electrode 1 is the positive excitation electrode and electrode 2 is the negative excitation electrode.

[0117] Step 2: Obtain the second standard fitted image corresponding to each response signal in each response signal group.

[0118] The second standard fitted image is a sine waveform of the standard response signal.

[0119] Step 3: Determine the target abnormal electrode based on the second standard fitted image and the second fitted image corresponding to each response signal in each response signal group.

[0120] That is, by comparing the second standard fitted image and the second fitted image corresponding to each response signal in each response signal group, the abnormal response signal in each response signal group is determined, and then the target abnormal electrode is determined according to the correspondence between the response signal and the response electrode.

[0121] For example, when electrode 1 is abnormal, after comparing the second standard fitted image and the second fitted image corresponding to each response signal in each response signal group, the intersection of the initial abnormal electrodes corresponding to the abnormal response signals in each response signal group must include electrode 1. Thus, the target abnormal electrode can be determined by taking the intersection of the initial abnormal electrodes corresponding to each response signal group.

[0122] In one specific embodiment of this application, the electrode anomaly detection method includes:

[0123] Excitation grouping and reorganization: The 256 original response signals are regrouped according to the excitation electrode positions, forming 16 independent signal groups (each group corresponds to one excitation position). Each group contains 12 valid measurement signals (12 valid data for opposing excitations and 13 valid data for adjacent excitations) (since the excitation electrodes themselves do not participate in the measurement). The system automatically adds a zero value or a marker bit to form a complete 16-channel response signal group. This reorganization method breaks the traditional timing arrangement and constructs a data set centered on the excitation source.

[0124] Each signal group is sorted according to the positive excitation electrode, and a visual signal saddle diagram can be achieved. The X-axis of the saddle diagram represents the electrode number starting from the positive excitation, and the Y-axis represents the normalized signal amplitude. In an ideal homogeneous medium, the curve should present a symmetrical saddle shape. In simulating the shape of the chest cavity, it can also present a slightly deformed saddle shape. The electrode closest to the excitation point obtains the highest signal amplitude (peak), and the diagonal region forms the lowest amplitude (trough).

[0125] Spatial topology mapping: The recombined response signal group is spatially arranged according to the actual physical locations of the electrodes on the body surface. When the electrode array adopts a ring layout (such as for monitoring a cross-section of the thoracic cavity), the 16 electrodes form a 16×16 two-dimensional matrix. Each element in the matrix represents the signal amplitude of a specific excitation-measurement electrode pair (i, j), where the row index corresponds to the excitation electrode position and the column index corresponds to the measurement electrode position. This mapping establishes a direct correlation between the abstract electrical signal and the physical spatial location.

[0126] Electrode detachment detection: Based on the combination of 16 excitation electrodes, the completeness of the response signal can be used to determine the electrode detachment status; alternatively, the waveform size pattern of the saddle diagram can be used to identify problematic electrodes and adjust the spacing or position of the electrodes.

[0127] Adaptive saddle diagram baseline: In an ideal homogeneous medium, the fitted curve should present a symmetrical saddle shape. In simulating the shape of the chest cavity, it can also present a slightly deformed saddle shape: Input the chest size and basic chest shape, select an appropriate standard fitted image for comparison, so that the operator can adjust the electrodes according to the saddle diagram.

[0128] It should be noted that at the beginning of the response signal acquisition stage, the first and second fitted images can be directly viewed. Based on the display results of these two types of images, and according to the basic rules (in an ideal homogeneous medium, the curve should present a symmetrical saddle shape; in simulating the shape of the chest cavity, it can also present a slightly deformed saddle shape: the electrode closest to the excitation point obtains the highest signal amplitude (peak), and the diagonal region forms the lowest amplitude (trough), abnormal electrodes can be identified and directly adjusted until the electrodes are adjusted, and then data acquisition is performed. Storing the original signal, time, and event facilitates postoperative data playback and analysis; furthermore, if all response signals of the corresponding excitation electrodes are distorted, then at least one of the two corresponding excitation electrodes has detached; if there is partial distortion in the response signal of the corresponding excitation electrode, then at least one of the corresponding receiving electrodes has detached.

[0129] It should be noted that the above-mentioned electrode anomaly detection method has the following advantages in clinical visualization: it can provide operators with an intuitive signal-electrode mapping diagram, so that the electrode contact status can be directly judged based on signal integrity; it can also facilitate the rapid judgment of electrode contact status and electrode spacing in clinical monitoring scenarios (all 16 electrodes should be evenly distributed on the surface of the object to be scanned); in addition, it can determine the first standard fitting image based on the chest shape and chest circumference of different scanned objects, so that operators can adjust the electrodes more accurately.

[0130] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0131] Based on the same inventive concept, this application also provides an electrode anomaly detection device for implementing the electrode anomaly detection method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the electrode anomaly detection device provided below can be found in the limitations of the electrode anomaly detection method described above, and will not be repeated here.

[0132] In one embodiment of this application, such as Figure 11 As shown, an electrode anomaly detection device is provided, comprising:

[0133] The determination module 100 is used to determine multiple sets of excitation electrodes and response electrodes among multiple electrodes according to preset rules.

[0134] The acquisition module 200 is used to acquire multiple response signals based on each set of excitation electrodes and response electrodes.

[0135] The partitioning module 300 is used to partition the multiple response signals into multiple response signal groups based on each group of excitation electrodes and response electrodes.

[0136] Module 400 is used to construct the corresponding first fitted image based on each group of response signals.

[0137] The determination module 100 is further configured to determine the target abnormal electrode based on a plurality of the first fitted images.

[0138] The determination module 100 is also used to determine multiple sets of excitation electrodes and response electrodes by sequentially using each electrode as a positive excitation electrode, the opposite electrode as a negative excitation electrode, and the remaining electrode as a response electrode; or by sequentially using two adjacent electrodes as excitation electrodes and the remaining electrode as a response electrode to determine multiple sets of excitation electrodes and response electrodes.

[0139] The partitioning module 300 is further configured to partition the multiple response signals into groups of excitation electrodes and response electrodes to determine multiple initial response signal groups; take the response signals corresponding to the excitation electrodes in the multiple initial response signal groups as response signals to be corrected; and set the response signals to be corrected in the multiple initial response signal groups to zero to obtain multiple response signal groups.

[0140] The construction module 400 is further configured to sort the multiple response signals in the target response signal group in ascending order of their numbers, starting with the response signals collected by the electrodes adjacent to the positive excitation electrodes in the direction of increasing number; the target response signal group is any one of the multiple response signal groups; the amplitude of each response signal is determined based on the sorted target response signal group; and a first fitted image corresponding to the target response signal group is constructed based on the amplitude of each response signal and the sorted target response signal group.

[0141] The determination module 100 is also used to acquire a first standard fitting image corresponding to each response signal group; and to determine the target abnormal electrode based on the first standard fitting image corresponding to each response signal group and the first fitting image.

[0142] The determining module 100 is further configured to acquire the body posture information of the scanned object corresponding to the response signal group; and determine the first standard fitting image corresponding to each response signal group based on the body posture information.

[0143] The determination module 100 is further configured to match the first standard fitted image of each response signal group with the corresponding first fitted image, and take the electrode of the response signal corresponding to the mismatch position as the initial abnormal electrode of each response signal group; and determine the target abnormal electrode based on the initial abnormal electrode of each response signal group.

[0144] The determination module 100 is further configured to construct a second fitted image for each response signal based on each response signal in each response signal group; obtain a second standard fitted image corresponding to each response signal in each response signal group; and determine the target abnormal electrode based on the second standard fitted image and the second fitted image corresponding to each response signal in each response signal group.

[0145] Each module in the aforementioned electrode anomaly detection device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0146] In one embodiment of this application, a computer device is provided, which may be a server, and its internal structure diagram may be as follows. Figure 12As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores all relevant data for executing the electrode anomaly detection method. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements an electrode anomaly detection method.

[0147] Those skilled in the art will understand that Figure 12 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0148] In one embodiment of this application, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the electrode anomaly detection method in the above embodiment.

[0149] In one embodiment of this application, a computer-readable storage medium is provided, on which a computer program is stored, the computer program being executed by a processor to implement the steps of the electrode anomaly detection method in the above-described method embodiments.

[0150] In one embodiment of this application, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the electrode anomaly detection method in the above-described method embodiments.

[0151] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0152] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0153] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0154] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for detecting electrode anomalies, characterized in that, Applied to an electrical impedance tomography (EIT) system, the EIT system comprising multiple electrodes, the method includes: Multiple sets of excitation electrodes and response electrodes are determined from multiple electrodes according to preset rules; Multiple response signals are acquired based on each set of excitation electrodes and response electrodes; The multiple response signals are divided into multiple response signal groups based on each group of excitation electrodes and response electrodes; Construct a first fitted image for each group of response signals; The target anomalous electrode is determined based on multiple first fitted images; The step of constructing a corresponding first fitted image based on each response signal group includes: multiple electrodes each having a consecutive number; The multiple response signals in the target response signal group are sorted sequentially in ascending order of their numbers, starting with the response signal collected by the electrode adjacent to the positive excitation electrode in the direction of increasing number. The target response signal group is any one of the multiple response signal groups. Based on the sorted target response signal group, the amplitude of each response signal is determined; Based on the amplitude of each response signal and the sorted target response signal group, a first fitted image corresponding to the target response signal group is constructed.

2. The electrode anomaly detection method according to claim 1, characterized in that, The step of determining multiple sets of excitation electrodes and response electrodes from multiple electrodes according to preset rules includes: Each electrode is sequentially designated as a positive excitation electrode, the corresponding electrode as a negative excitation electrode, and the remaining electrodes as response electrodes, thus determining multiple sets of excitation and response electrodes; or By sequentially using two adjacent electrodes as excitation electrodes and the remaining electrodes as response electrodes, multiple sets of excitation electrodes and response electrodes are determined.

3. The electrode anomaly detection method according to claim 1, characterized in that, The step of dividing the plurality of response signals into a plurality of response signal groups based on each group of excitation electrodes and response electrodes includes: The multiple response signals are divided into multiple initial response signal groups by each group of excitation electrodes and response electrodes; The response signal corresponding to the excitation electrode in the plurality of initial response signal groups is taken as the response signal to be corrected; The response signal to be corrected in the plurality of initial response signal groups is set to zero to obtain a plurality of response signal groups.

4. The electrode anomaly detection method according to claim 1, characterized in that, The step of determining the target abnormal electrode based on multiple first fitted images includes: Obtain the first standard fitted image corresponding to each group of response signals; The target abnormal electrode is determined based on the first standard fitted image and the first fitted image corresponding to each response signal group.

5. The electrode anomaly detection method according to claim 4, characterized in that, The step of obtaining the first standard fitted image corresponding to each group of response signals includes: Obtain the body posture information of the scanned object corresponding to the response signal group; Based on the body posture information, a first standard fitted image is determined for each group of response signals.

6. The electrode anomaly detection method according to claim 4, characterized in that, Based on the first standard fitted image and the first fitted image corresponding to each response signal group, the target abnormal electrode is determined to include: The first standard fitted image of each response signal group is matched with the corresponding first fitted image, and the electrode of the response signal at the mismatch position is taken as the initial abnormal electrode of each response signal group. The target abnormal electrode is determined based on the initial abnormal electrode of each response signal group.

7. The electrode anomaly detection method according to claim 6, characterized in that, The step of determining the target abnormal electrode based on the initial abnormal electrode of each response signal group includes: For each response signal in each group of response signals, construct a second fitted image for each response signal; Obtain the second standard fitted image corresponding to each response signal in each response signal group; The target abnormal electrode is determined based on the second standard fitted image and the second fitted image corresponding to each response signal in each response signal group.

8. An electrode anomaly detection device, characterized in that, The device includes: The determination module is used to determine multiple sets of excitation electrodes and response electrodes among multiple electrodes according to preset rules; The acquisition module is used to acquire multiple response signals based on each set of excitation electrodes and response electrodes; The partitioning module is used to divide the multiple response signals into multiple response signal groups based on each group of excitation electrodes and response electrodes; A construction module is used to construct the corresponding first fitted image based on each group of response signals; The determining module is further configured to determine the target abnormal electrode based on a plurality of the first fitted images; The construction module is further configured to sort multiple response signals in the target response signal group in ascending order of their numbers, starting with the response signals collected by the electrodes adjacent to the positive excitation electrodes in the direction of increasing numbering; the target response signal group is any one of the multiple response signal groups; the amplitude of each response signal is determined based on the sorted target response signal group; and a first fitted image corresponding to the target response signal group is constructed based on the amplitude of each response signal and the sorted target response signal group; the multiple electrodes are respectively assigned consecutive numbers.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

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