A method, apparatus, electronic device, and storage medium for detecting electrical impedance.

Abstract

This application relates to a method, apparatus, electronic device, and storage medium for electrical impedance tomography (EIT) detection, applied in the field of EIT imaging. The EIT detection method includes: acquiring electrode signals of a target electrode in a measurement region; having multiple preset electrodes attached to the measurement region; the target electrode including any one of the preset electrodes; the electrode signals carrying excitation electrode data and measurement electrode data generated by the target electrode; determining the fluctuation value of the target electrode based on the excitation electrode data and measurement electrode data; when the fluctuation value is within a preset fluctuation threshold range, acquiring the electrode contact impedance of the measurement region based on a preset electrode measurement method; and generating an electrode adjustment result based on the electrode contact impedance and sending it to a client. This application solves the problem of low efficiency in EIT measurement during bioelectrical impedance imaging due to the inability to quickly determine whether electrodes have detached or have poor contact.

Description

Technical Field

[0001] This application relates to the field of electrical impedance, and in particular to an impedance detection method, apparatus, electronic device, and storage medium. Background Technology

[0002] Bioelectrical impedance tomography (BIT) is a novel medical functional imaging technique. Its working principle involves placing a number of electrodes on the surface of the object being measured. A safe current is injected into selected electrodes, and the surface voltage of the other electrodes is measured. The relationship between voltage and current is used to reconstruct the internal electrical impedance value or the change in electrical impedance of the biological organism. Because this method does not use radionuclides or radiation, it is harmless to the organism and can be reused multiple times. Furthermore, it offers rapid imaging speed.

[0003] When imaging with an impedance measurement system, issues may arise such as poor contact between the electrodes placed on the surface of the object being measured, or unstable contact due to electrode movement during prolonged monitoring. Currently, methods such as periodically measuring the impedance between each electrode and the skin, or checking the quality of the impedance signal, are generally used to determine if there is unstable or poor contact. However, these methods require a complete impedance measurement before determining whether the electrode has detached or if the contact is stable, resulting in relatively low efficiency.

[0004] There is currently no effective solution to the problem of low efficiency in bioelectrical impedance imaging due to the inability to quickly determine whether electrodes have detached or have poor contact. Summary of the Invention

[0005] This embodiment provides an impedance detection method, apparatus, electronic device, and storage medium to solve the problem of low efficiency in impedance measurement during bioelectrical impedance tomography in related technologies due to the inability to quickly determine whether electrodes have detached or have poor contact.

[0006] Firstly, this embodiment provides a method for detecting electrical impedance, the method comprising:

[0007] The electrode signal of the target electrode in the measurement area is acquired; a plurality of preset electrodes are attached to the measurement area; the target electrode includes any one of the plurality of preset electrodes; the electrode signal carries excitation electrode data and measurement electrode data generated by the target electrode.

[0008] Based on the excitation electrode data and the measurement electrode data, the fluctuation value of the target electrode is determined;

[0009] When the fluctuation value is within a preset fluctuation threshold range, the electrode contact impedance of the measurement area is obtained based on a preset electrode measurement method.

[0010] Based on the electrode contact impedance, an electrode adjustment result is generated and sent to the client.

[0011] In some embodiments, the plurality of electrodes further includes electrodes other than the target electrode; acquiring the electrode signal of the measurement area includes:

[0012] When the target electrode is used as the excitation electrode, the excitation electrode data generated by the target electrode and the measurement electrode data generated by other electrodes are acquired.

[0013] When the target electrode is used as the measuring electrode, the excitation electrode data generated by the other electrodes and the measuring electrode data generated by the target electrode are acquired.

[0014] In some embodiments, the fluctuation value includes the sum of electrode fluctuation variances; determining the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data includes:

[0015] Acquire the excitation electrode data and measurement electrode data generated by the target electrode, and calculate the sum of variances of the excitation electrode data and measurement electrode data to obtain the sum of electrode fluctuation variances corresponding to the target electrode;

[0016] When it is determined that the electrode fluctuation variance is not within the preset variance fluctuation threshold range, an electrode detachment signal is sent to the client; the preset fluctuation threshold range includes the preset variance fluctuation threshold range.

[0017] In some embodiments, when the fluctuation value is within a preset fluctuation threshold range, obtaining the electrode contact impedance of the measurement area based on a preset electrode measurement method includes:

[0018] When the fluctuation value is within a preset fluctuation threshold range, multiple independent electrode pairs, including the target electrode, are acquired corresponding to multiple preset electrodes; the independent electrode pairs include adjacent excitation electrode pairs and measurement electrode pairs.

[0019] When the target electrode is used as the excitation electrode, the first impedance of the measurement electrode pair is determined;

[0020] When the target electrode is used as the measuring electrode, the second impedance of the measuring electrode pair is determined;

[0021] The electrode contact impedance of the independent electrode pair in the corresponding measurement area is determined based on the first impedance and the second impedance.

[0022] In some embodiments, generating electrode adjustment results based on the electrode contact impedance and sending them to the client further includes:

[0023] When the electrode contact impedance is determined to be within a preset impedance threshold range, voltage and current data of multiple independent electrode pairs are acquired.

[0024] According to a preset image algorithm, the voltage and current data are converted into an impedance distribution image within the measurement area, and the impedance distribution image is sent to the client.

[0025] In some embodiments, generating electrode adjustment results based on the electrode contact impedance and sending them to the client further includes:

[0026] When it is determined that the electrode contact impedance is not within the preset impedance threshold range, the current electrode signal of the measurement area is reacquired;

[0027] Acquire the excitation electrode data and measurement electrode data generated by the target electrode in the current electrode signal, and determine the fluctuation value corresponding to the excitation electrode data and measurement electrode data;

[0028] When the fluctuation value is determined to be within the preset fluctuation threshold range, the electrode contact impedance of the current measurement area is obtained based on the preset electrode measurement method, and an electrode adjustment result is generated based on the current electrode contact impedance.

[0029] In some embodiments, the fluctuation value includes the number of sine waves; determining the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data further includes:

[0030] Multiple electrode data corresponding to multiple target electrodes are acquired, and sinusoidal correlation analysis is performed on the multiple electrode data to obtain multiple predicted sine waves corresponding to the target electrodes.

[0031] Determine the number of sine waves that conform to the characteristics of a sine wave among the plurality of predicted sine waves;

[0032] When the number of sine waves is not within the preset wave number threshold range, an electrode detachment signal is sent to the client; the preset wave threshold range includes the preset wave number threshold range.

[0033] Secondly, this embodiment provides an impedance detection device, which includes: an acquisition module, a processing module, and a transmission module;

[0034] The acquisition module is used to acquire the electrode signal of the target electrode in the measurement area; a plurality of preset electrodes are attached to the measurement area; the target electrode includes any one of the plurality of preset electrodes; the electrode signal carries excitation electrode data and measurement electrode data generated by the target electrode.

[0035] The processing module is used to determine the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data; when the fluctuation value is within a preset fluctuation threshold range, it obtains the electrode contact impedance of the measurement area based on a preset electrode measurement method.

[0036] The sending module is used to generate an electrode adjustment result based on the electrode contact impedance and send it to the client.

[0037] Thirdly, this embodiment provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the impedance detection method described in the first aspect above.

[0038] Fourthly, this embodiment provides a storage medium storing a computer program that, when executed by a processor, implements the impedance detection method described in the first aspect above.

[0039] Compared with related technologies, the impedance detection method, apparatus, electronic device, and storage medium provided in this embodiment acquire electrode signals attached to the measurement area, analyze the excitation electrode data and measurement electrode data generated by the target electrode corresponding to the electrode signals, determine the fluctuation of the target electrode, and thus determine the electrode detachment status. When the electrode has not detached, based on the electrode contact impedance measurement, an electrode adjustment result can be generated. This electrode adjustment result informs the client whether the electrode position needs to be adjusted to a suitable imaging level, quickly determining whether the target electrode has detached or has poor contact, thus improving the efficiency of impedance detection in bioelectrical impedance imaging.

[0040] Details of one or more embodiments of this application are set forth in the following drawings and description to make other features, objects and advantages of this application more readily apparent. Attached Figure Description

[0041] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0042] Figure 1 This is a hardware structure block diagram of the terminal of the impedance detection method provided in this embodiment;

[0043] Figure 2 This is a flowchart of the impedance detection method provided in the embodiments of this application;

[0044] Figure 3 This is a flowchart of a method for obtaining the electrode contact impedance of a measurement area provided in an embodiment of this application;

[0045] Figure 4 This is a flowchart of the electrode detection method provided in this specific embodiment;

[0046] Figure 5 This is a structural block diagram of the impedance detection device according to an embodiment of this application. Detailed Implementation

[0047] To better understand the purpose, technical solution, and advantages of this application, the application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0048] Unless otherwise defined, the technical or scientific terms used in this application shall have the general meaning understood by one of ordinary skill in the art to which this application pertains. Words such as “a,” “an,” “an,” “the,” “the,” and “these” used in this application do not indicate quantitative limitation and may be singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or modules (units) is not limited to the listed steps or modules (units) but may include steps or modules (units) not listed, or may include other steps or modules (units) inherent to these processes, methods, products, or devices. Words such as “connected,” “linked,” and “coupled” used in this application are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. Normally, the character " / " indicates that the objects before and after it are in an "or" relationship. The terms "first," "second," "third," etc., used in this application are merely to distinguish similar objects and do not represent a specific order of objects.

[0049] The method embodiments provided in this example can be executed on a terminal, computer, or similar computing device. For example, it can run on a terminal. Figure 1 This is a hardware structure block diagram of the terminal for the impedance detection method provided in this embodiment. For example... Figure 1 As shown, a terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 and a memory 104 for storing data are also included. The processor 102 may be, but is not limited to, a microprocessor (MCU) or a programmable logic device (FPGA). The terminal may also include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that… Figure 1The structure shown is for illustrative purposes only and does not limit the structure of the terminal described above. For example, the terminal may also include components that are larger than... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown are illustrated.

[0050] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the impedance detection method in this embodiment. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0051] The transmission device 106 is used to receive or send data via a network. This network includes a wireless network provided by the terminal's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 can be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0052] Electrical Impedance Tomography (EIT) is a non-invasive medical imaging technique that uses the different impedance characteristics of human tissues to electric current to generate images of internal structures. The EIT system works by placing a series of electrodes on the body surface and applying small, safe currents or voltages to these electrodes, then measuring the voltage difference or current intensity between the other electrodes. Based on these measurements, specific algorithms are used to reconstruct images reflecting the electrical impedance distribution in different regions of the body.

[0053] Because this bioelectrical impedance tomography (EIT) method does not use radionuclides or radiation, it is harmless to the human body and can be reused for multiple measurements. It also features 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 used for rapid, portable imaging and has broad application prospects in continuous dynamic image monitoring of physiological activities such as those of the cardiovascular system, esophagus, and stomach.

[0054] In existing technologies, electrical impedance tomography systems typically require electrodes to establish good electrical contact with the object being measured to ensure the accuracy and reliability of the measurement data. However, existing technologies may have some problems with electrode contact detection, such as poor electrode-skin contact leading to measurement errors, or contact instability due to electrode movement during long-term monitoring.

[0055] However, current impedance measurement systems primarily rely on waveform analysis of the acquired impedance data during channel data acquisition. The contact status of the electrodes is then analyzed based on waveform characteristics, including situations such as poor contact or electrode detachment. This process is slow and requires specialized knowledge or experience to determine the integrity or detachment of the electrodes.

[0056] To address the issue of low efficiency in the current process of analyzing and judging the contact state of electrodes, this embodiment provides a method for detecting electrical impedance. Figure 2 This is a flowchart of the impedance detection method provided in the embodiments of this application, such as... Figure 2 As shown, the process includes the following steps:

[0057] Step S210: Obtain the electrode signal of the target electrode in the measurement area; multiple preset electrodes are attached to the measurement area; the target electrode includes any one of the multiple preset electrodes; the electrode signal carries the excitation electrode data and measurement electrode data generated by the target electrode.

[0058] In this step, when it is necessary to obtain a two-dimensional image of the impedance distribution inside the measurement area, multiple electrodes are attached around the perimeter of the measurement area. Then, within a certain measurement time range, excitation is applied to the multiple electrodes respectively, and multiple channel data generated by the multiple electrodes are acquired. The multiple electrodes also include other electrodes besides the target electrode. The channel data is either the measurement electrode data of other electrodes and the excitation electrode data of the target electrode, or the excitation electrode data of other electrodes and the measurement electrode data of the target electrode.

[0059] Specifically, when the target electrode is used as the excitation electrode, excitation electrode data generated by the target electrode and measurement electrode data generated by other electrodes are acquired; when the target electrode is used as the measurement electrode, excitation electrode data generated by other electrodes and measurement electrode data generated by the target electrode are acquired.

[0060] Subsequently, any one of the preset multiple electrodes is selected as the target electrode, and a weak alternating current is applied as an excitation. Multiple channel data generated by the other electrodes are then acquired. By acquiring the channel data of each of the preset multiple electrodes, stability analysis is performed on the channel data related to each electrode.

[0061] Step S220: Determine the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data.

[0062] In this step, the stability of the electrode is related to the state of poor electrode contact or electrode detachment: when the electrode stability is poor based on the electrode channel data, the risk of electrode detachment or poor contact is high; when the electrode stability is good based on the electrode channel data, the risk of electrode detachment or poor contact is low.

[0063] Therefore, when determining whether an electrode has detached or has poor contact, in order to improve the accuracy and efficiency of the determination, after acquiring multiple channel data of the target electrode within a certain measurement time range, including excitation electrode data and measurement electrode data, it is necessary to perform stability analysis on the channel data to determine the stability of the target electrode.

[0064] For example, variance analysis or sine wave analysis is performed on the channel data related to the target electrode to determine the fluctuation value corresponding to the target electrode. Among them, variance analysis reflects the data volatility. The larger the fluctuation value of variance analysis, the more dispersed the data points are, that is, the target electrode may be detached or have poor contact. The smaller the fluctuation value of variance analysis, the more concentrated the data are, that is, the target electrode may be well attached, and electrode impedance measurement imaging can be performed.

[0065] The fluctuation value includes the sum of electrode fluctuation variances. The specific steps for performing variance analysis on the channel data related to the target electrode include: acquiring the excitation electrode data and measurement electrode data generated by the target electrode; calculating the sum of variances of the excitation electrode data and measurement electrode data to obtain the sum of electrode fluctuation variances corresponding to the target electrode; when it is determined that the sum of electrode fluctuation variances is not within the preset variance fluctuation threshold range, sending an electrode detachment signal to the client; the preset fluctuation threshold range includes the preset variance fluctuation threshold range.

[0066] The fluctuation value also includes the number of sine waves; the specific steps for performing sine wave analysis on the channel data related to the target electrode include: acquiring multiple electrode data corresponding to multiple target electrodes, performing sine wave correlation analysis on the multiple electrode data to obtain multiple predicted sine waves corresponding to the target electrodes; determining the number of sine waves that conform to the characteristics of sine waves; when the number of sine waves is not within the preset wave number threshold range, sending an electrode detachment signal to the client; the preset fluctuation threshold range includes the preset wave number threshold range.

[0067] Step S230: When the fluctuation value is within the preset fluctuation threshold range, the electrode contact impedance of the measurement area is obtained based on the preset electrode measurement method.

[0068] In this step, when the fluctuation value is within the preset fluctuation threshold range, it indicates that the target electrode is attached to the measurement area and has not fallen off. At this time, the electrode contact impedance can be measured according to the preset electrode measurement method, such as the two-electrode method, the four-electrode derivation method, the differential electrode method, etc.

[0069] Specifically, Figure 3 This is a flowchart of a method for obtaining the electrode contact impedance of a measurement area according to an embodiment of this application. When the fluctuation value is within a preset fluctuation threshold range, the method for obtaining the electrode contact impedance of the measurement area based on a preset electrode measurement method is as follows: Figure 3 As shown, it includes steps S310 to S330.

[0070] Step S310: When the fluctuation value is within the preset fluctuation threshold range, acquire multiple independent electrode pairs corresponding to multiple preset electrodes, including the target electrode; the independent electrode pairs include adjacent excitation electrode pairs and measurement electrode pairs.

[0071] Step S320: When the target electrode is used as the excitation electrode, determine the first impedance of the measurement electrode pair; when the target electrode is used as the measurement electrode, determine the second impedance of the measurement electrode pair.

[0072] Step S330: Determine the electrode contact impedance of the independent electrode pair for the corresponding measurement area based on the first impedance and the second impedance.

[0073] In the above steps, two independent electrode pairs, including the target electrode, are used. First, the outer pair, including the target electrode, is used as the current excitation electrode, responsible for applying a safe alternating current I. For example, the frequency of the alternating current is set to 50kHz. The inner pair is used as the voltage measurement electrode to detect the potential difference on the surface of the measurement area. The voltage difference U1 between the two ends is obtained through the pair of measurement electrodes, and the first impedance Z1 = U1 / I is initially calculated. Z1 includes contact impedance and transmission impedance. Then, the adjacent measurement electrode pairs are switched. The outer pair, including the target electrode, is used as the voltage measurement electrode to detect the potential difference on the surface of the measurement area; the other pair is used as the current excitation electrode, responsible for applying a safe alternating current. The voltage difference U2 between the other two ends is obtained by repeated measurement, and the second impedance of the electrode pair is obtained as Z2 = U2 / I. Then, the difference between the electrode contact impedance Z1 and Z2 in the measurement area can be obtained, which is the electrode contact impedance of the measurement area corresponding to the independent electrode pair.

[0074] In one specific embodiment, taking two independent electrode pairs including electrode A, electrode B, electrode C and electrode D respectively as an example, electrode B is the target electrode, and the electrode contact impedance of the measurement area is the contact impedance of electrode B.

[0075] First, electrodes A and B are used as current excitation electrodes, and electrodes B and C are used as voltage measurement electrodes to detect the voltage V_AB_BC between electrodes BC; second, electrodes A and D are used as current excitation electrodes, and electrodes B and C are used as voltage measurement electrodes to detect the voltage V_AD_BC between electrodes BC.

[0076] Therefore, the voltage V_AB_BC between electrodes BC can be expressed as:

[0077] ;

[0078] ;

[0079] Where V_AB_BC and V_AD_BC are the voltages between electrodes BC obtained under different current excitation conditions; Z_C_B represents the contact impedance of electrode B, i.e., the contact impedance of the measurement area to be obtained; V_BC represents the actual voltage between electrodes BC; and I represents the applied safe AC current. Here, V_AB_BC is the aforementioned voltage difference U1, and V_AD_BC is the aforementioned voltage difference U2.

[0080] Furthermore, the contact impedance Z_C_B of electrode B can be expressed by the formula:

[0081] ;

[0082] Using the above method, the contact impedance of the current injection electrode can be monitored, and the contact status of the current electrode can be monitored in real time to monitor the contact quality of the current electrode and determine whether there is a problem with poor electrode contact.

[0083] In practical applications, the electrode contact impedance of the measurement area obtained by the above method can be used as a system alarm or data quality indicator, which is commonly found in clinical and industrial EIT equipment.

[0084] Step S240: Based on the electrode contact impedance, generate the electrode adjustment result and send it to the client.

[0085] In this step, after measuring the electrode contact impedance, when it is determined that the electrode contact impedance is within the preset impedance threshold range, voltage and current data of multiple independent electrode pairs are acquired; according to the preset image algorithm, the voltage and current data are converted into an impedance distribution image in the measurement area.

[0086] When the electrode contact impedance is determined to be outside the preset impedance threshold range, an electrode adjustment result is generated and sent to the client so that the client can check whether the electrode is in contact with the measurement area, whether it needs to be fixed and pressed, or whether the measurement area is clean, in order to ensure good contact between the electrode and the measurement area.

[0087] Through the above steps, by acquiring the electrode signals attached to the measurement area, analyzing the excitation electrode data and measurement electrode data generated by the target electrode corresponding to the electrode signals, the fluctuation of the target electrode is determined, thereby determining whether the electrode has detached. When the electrode has not detached, based on the electrode contact impedance measurement, an electrode adjustment result can be generated. This electrode adjustment result informs the client whether the electrode position needs to be adjusted to a suitable imaging level, quickly determining whether the target electrode has detached or has poor contact, thus improving the efficiency of impedance detection in bioelectrical impedance imaging.

[0088] In some embodiments, generating electrode adjustment results based on electrode contact impedance and sending them to the client further includes:

[0089] When it is determined that the electrode contact impedance is not within the preset impedance threshold range, the current electrode signal of the measurement area is reacquired.

[0090] Acquire the excitation electrode data and measurement electrode data generated by the target electrode in the current electrode signal, and determine the fluctuation value corresponding to the excitation electrode data and measurement electrode data;

[0091] When the fluctuation value is determined to be within the preset fluctuation threshold range, the electrode contact impedance of the current measurement area is obtained based on the preset electrode measurement method, and the electrode adjustment result is generated based on the current electrode contact impedance.

[0092] When the electrode contact impedance is determined to be outside the preset impedance threshold range, a corresponding electrode adjustment result needs to be generated and sent to the client so that the client can perform corresponding electrode adjustment operations based on the electrode adjustment result, such as electrode pressing and setting an external elastic band around the electrode to ensure that the conductive paste or hydrogel is in contact with the measurement area.

[0093] After the client completes the corresponding electrode adjustment operation, it re-acquires the electrode signals of the current measurement area, including the target electrode as the excitation electrode or measurement electrode, and the generated excitation electrode data and measurement electrode data; and according to the target electrode fluctuation value determination method and electrode measurement method in the above embodiments, it determines again whether it is necessary to send the electrode adjustment result to the client.

[0094] The present embodiment will be described and explained below through specific examples.

[0095] Figure 4 This is a flowchart of the electrode detection method provided in this specific embodiment. Figure 4 As shown, the electrode detection method includes the following steps:

[0096] In electrical impedance tomography (EIT) measurements, ensuring a tight fit between each electrode and the target surface is crucial. Good electrode contact is key to guaranteeing the stability of the acquired waveform signal, thus accurately reflecting the changes in electrical parameters caused by variations in the target object's impedance. Significant fluctuations in the waveform data indicate insufficient electrode contact stability, necessitating the measurement of the electrode impedance.

[0097] In this specific embodiment, taking 16 electrodes as an example, a total of 256 channels of data are generated. The electrodes are numbered sequentially from 0 to 15. When a target electrode to be detected is used as a positive excitation, there are 16 related channels of data; when used as a negative excitation, there are also 16 related channels of data; when used as a positive measurement, there are 14 related channels of data; and when used as a negative measurement, there are also 14 related channels of data. Therefore, the electrode data related to a target electrode covers 60 channels.

[0098] First, cleanse the skin before attaching the electrodes to ensure there is no oil residue. Apply conductive paste evenly to the electrode contact surfaces, attach the electrodes in the predetermined positions, and secure them with the fixing straps. Activate the monitoring system to receive electrode signals.

[0099] Secondly, the system determines whether an electrode has detached based on the electrode signals. If an electrode has detached, the client is prompted to adjust the relevant electrode, at which point a coarse adjustment is performed. After receiving the client's signal indicating the adjustment is complete, the system re-receives the electrode signals. Electrode instability is used in real-time to determine if an electrode has detached. If an electrode detachment is detected, the client is immediately prompted to adjust the electrode position, and the system checks for detachment again until none of the 16 electrodes show any signs of detachment.

[0100] Taking electrode 0 as an example, the stability of electrode 0 can be assessed by performing variance analysis on 60 channels of data related to electrode 0. A larger sum of variances indicates higher instability of electrode 0, which may indicate an increased risk of poor electrode contact or electrode detachment. Through extensive controlled experimental testing, a variance threshold X was determined for electrode adhesion. When the electrode fluctuation variance X1 exceeds the variance fluctuation threshold range Y=2X, the electrode is considered to have detached.

[0101] Specifically, calculate the variance and S. 2 The formula is expressed as:

[0102] ;

[0103] Where N represents the total amount of data, This represents the i-th data point. This represents the average of N data points.

[0104] A single frame of data contains 256 channels. Image formation requires multiple frames, so each channel's changes over time create a set of data. This set of data yields the variance Fx, resulting in a total of 256 variance data points, F1 to F256. Of these 256 variance data points, 60 are related to a single electrode among the 16 electrodes. By calculating the sum of these variances, the relatively least unstable electrode is identified. The sum of the variance Fx of the least unstable electrode is then compared to a threshold Y to determine whether electrode 0 has detached.

[0105] Preferably, the stability of the electrode contact can also be determined using a sine wave method. The impedance system is excited and measured using a 50kHz sine wave, so when the electrodes are in contact and fit well, the received signal is a sine wave. When the electrodes are not in contact and the contact is poor, the received signal is not a sine wave.

[0106] The stability of electrode 0 can be assessed by performing correlation analysis between 60 channels of data related to electrode 0 and a sine wave. The correlation coefficient is used to distinguish the sine wave characteristics of the 60 channels of data related to electrode 0. The number A of channels whose waveforms are not identified as sine waves is recorded. A higher A indicates an increased risk of poor contact or electrode detachment of electrode 0. For example, in analyzing the 60 channels of data related to electrode 0, if more than 50 channels are not sine waves, electrode detachment is identified; if 0-10 channels are not sine waves, poor contact is identified. Then, a four-electrode measurement method is used to measure the contact impedance to adjust the corresponding electrode, thus completing electrode adjustment.

[0107] That is, by determining whether the channel data corresponding to the target electrode is a sine wave, the number of sine waves is obtained. When the number of waves exceeds the first wave number threshold, it is determined that the target electrode has detached; when the number of waves does not exceed the second wave number threshold, it is determined that the target electrode has poor contact. Here, the first wave number threshold is greater than the second wave number threshold.

[0108] Once it is determined that the electrode has detached, the specific operation can be to reconfirm whether the electrode is attached to the measurement area and whether it is loose. If the electrode is not attached or is loose, wipe the electrode attachment position with alcohol to ensure good contact. During the adjustment of the electrode, the position should remain unchanged.

[0109] If the electrodes are not detached, determine if there is poor contact. If the system indicates poor electrode contact, in this case, instruct the client to adjust the electrodes until the impedance value stabilizes within a preset range. This can be done by pressing the electrodes or using external elastic bandages to ensure contact between the conductive gel or hydrogel and the skin. The position of the electrodes should remain unchanged during adjustment. This process ensures good electrode contact with the skin, improving the accuracy of data acquisition and image quality.

[0110] After receiving the signal from the client that the adjustment has been completed, the electrode signal is received again, and the electrode detachment and poor electrode contact are judged in sequence.

[0111] If the electrode is not detached and the electrode contact is good, data conversion is performed based on the electrode channel data to calculate the electrode contact impedance, and an image frame is generated based on the electrode contact impedance.

[0112] By applying mathematical models and image reconstruction algorithms, the collected voltage-current relationship data are converted into a two-dimensional image of the impedance distribution within the measurement area, thereby achieving non-invasive, real-time, and dynamic functional imaging.

[0113] This specific embodiment enhances the accuracy of identifying poor electrode contact and detachment by combining electrode stability (e.g., the sum of signal variances of electrode-related channels) with four-electrode contact detection technology. By monitoring electrode contact impedance values ​​in real time, the system can quickly identify poor contact or detachment and issue timely alarm signals. Clinical operators adjust the electrode positions based on feedback information to ensure data acquisition accuracy and imaging quality. This method significantly improves the reliability and practicality of electrical impedance tomography (EIT) systems, providing strong technical support for clinical diagnosis, effectively avoiding measurement deviations caused by poor electrode contact, and enhancing the stability of data acquisition and the clarity of imaging.

[0114] It should be noted that the steps shown in the above process or in the flowcharts in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions.

[0115] This embodiment also provides an impedance detection device for implementing the above embodiments and preferred embodiments; details already described will not be repeated. The terms "module," "unit," "subunit," etc., used below refer to combinations of software and / or hardware that perform a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0116] Figure 5 This is a structural block diagram of the impedance detection device according to an embodiment of this application, as shown below. Figure 5 As shown, the device includes: an acquisition module 10, a processing module 20, and a transmission module 30.

[0117] The acquisition module 10 is used to acquire the electrode signal of the target electrode in the measurement area; a plurality of preset electrodes are attached to the measurement area; the target electrode includes any one of the preset plurality of electrodes; the electrode signal carries the excitation electrode data and measurement electrode data generated by the target electrode.

[0118] The processing module 20 is used to determine the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data; when the fluctuation value is within the preset fluctuation threshold range, the electrode contact impedance of the measurement area is obtained based on the preset electrode measurement method.

[0119] The sending module 30 is used to generate electrode adjustment results based on electrode contact impedance and send them to the client.

[0120] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0121] This embodiment also provides an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0122] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0123] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0124] S1, acquire the electrode signal of the target electrode in the measurement area; multiple preset electrodes are attached to the measurement area; the target electrode includes any one of the multiple preset electrodes; the electrode signal carries the excitation electrode data and measurement electrode data generated by the target electrode.

[0125] S2, determine the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data.

[0126] S3, when the fluctuation value is within the preset fluctuation threshold range, the electrode contact impedance of the measurement area is obtained based on the preset electrode measurement method.

[0127] S4 generates electrode adjustment results based on electrode contact impedance and sends them to the client.

[0128] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated in this embodiment.

[0129] Furthermore, in conjunction with the impedance detection methods provided in the above embodiments, this embodiment can also provide a computer-readable storage medium for implementation. The computer-readable storage medium stores a computer program; when executed by a processor, the computer program implements any of the impedance detection methods in the above embodiments.

[0130] It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. All other embodiments derived by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0131] Obviously, the accompanying drawings are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar situations based on these drawings without any creative effort. Furthermore, it is understood that although the work done in this development process may be complex and lengthy, for those skilled in the art, certain design, manufacturing, or production modifications made based on the technical content disclosed in this application are merely conventional technical means and should not be considered as insufficient disclosure of this application.

[0132] The term "embodiment" in this application refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily imply the same embodiment, nor does it imply that it is mutually exclusive with or independent of other embodiments. It will be clearly or implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0133] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of patent protection. 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 scope of protection of this application. Therefore, the scope of protection of this application should be determined by the appended claims.

Claims

1. A method for detecting electrical impedance, characterized in that, The method includes: The method involves acquiring electrode signals from a target electrode within a measurement region. A plurality of preset electrodes are attached to the measurement region. The target electrode includes any one of the preset plurality of electrodes. The electrode signals carry excitation electrode data and measurement electrode data generated by the target electrode. The plurality of electrodes also includes other electrodes besides the target electrode. Acquiring the electrode signals from the measurement region includes: acquiring excitation electrode data generated by the target electrode and measurement electrode data generated by the other electrodes when the target electrode is used as an excitation electrode; and acquiring excitation electrode data generated by the other electrodes and measurement electrode data generated by the target electrode when the target electrode is used as a measurement electrode. Based on the excitation electrode data and measurement electrode data, the fluctuation value of the target electrode is determined; the fluctuation value includes the sum of electrode fluctuation variances; determining the fluctuation value of the target electrode based on the excitation electrode data and measurement electrode data includes: calculating the sum of variances of the excitation electrode data and measurement electrode data to obtain the sum of electrode fluctuation variances corresponding to the target electrode; when it is determined that the sum of electrode fluctuation variances is not within a preset variance fluctuation threshold range, an electrode detachment signal is sent to the client; the preset fluctuation threshold range includes a preset variance fluctuation threshold range; When the fluctuation value is within a preset fluctuation threshold range, the electrode contact impedance of the measurement area is obtained based on a preset electrode measurement method. Based on the electrode contact impedance, an electrode adjustment result is generated and sent to the client.

2. The impedance detection method according to claim 1, characterized in that, When the fluctuation value is within a preset fluctuation threshold range, the electrode contact impedance of the measurement area is obtained based on a preset electrode measurement method, including: When the fluctuation value is within a preset fluctuation threshold range, multiple independent electrode pairs, including the target electrode, are acquired corresponding to multiple preset electrodes; the independent electrode pairs include adjacent excitation electrode pairs and measurement electrode pairs. When the target electrode is used as the excitation electrode, the first impedance of the measurement electrode pair is determined; When the target electrode is used as the measuring electrode, the second impedance of the measuring electrode pair is determined; The electrode contact impedance of the independent electrode pair in the corresponding measurement area is determined based on the first impedance and the second impedance.

3. The impedance detection method according to claim 2, characterized in that, The step of generating an electrode adjustment result based on the electrode contact impedance and sending it to the client also includes: When the electrode contact impedance is determined to be within a preset impedance threshold range, voltage and current data of multiple independent electrode pairs are acquired. According to a preset image algorithm, the voltage and current data are converted into an impedance distribution image within the measurement area, and the impedance distribution image is sent to the client.

4. The impedance detection method according to any one of claims 1 to 3, characterized in that, The step of generating an electrode adjustment result based on the electrode contact impedance and sending it to the client also includes: When it is determined that the electrode contact impedance is not within the preset impedance threshold range, the current electrode signal of the measurement area is reacquired; Acquire the excitation electrode data and measurement electrode data generated by the target electrode in the current electrode signal, and determine the fluctuation value corresponding to the excitation electrode data and measurement electrode data; When the fluctuation value is determined to be within the preset fluctuation threshold range, the electrode contact impedance of the current measurement area is obtained based on the preset electrode measurement method, and an electrode adjustment result is generated based on the current electrode contact impedance.

5. The impedance detection method according to claim 1, characterized in that, The fluctuation value includes the number of sine waves; determining the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data further includes: Multiple electrode data corresponding to multiple target electrodes are acquired, and sinusoidal correlation analysis is performed on the multiple electrode data to obtain multiple predicted sine waves corresponding to the target electrodes. Determine the number of sine waves that conform to the characteristics of a sine wave among the plurality of predicted sine waves; When the number of sine waves is not within the preset wave number threshold range, an electrode detachment signal is sent to the client; the preset wave threshold range includes the preset wave number threshold range.

6. An impedance detection device, characterized in that, The device includes: an acquisition module, a processing module, and a sending module; The acquisition module is used to acquire electrode signals of a target electrode in a measurement area; a plurality of preset electrodes are attached to the measurement area; the target electrode includes any one of the plurality of preset electrodes; the electrode signal carries excitation electrode data and measurement electrode data generated by the target electrode; wherein, the plurality of electrodes also includes other electrodes besides the target electrode; acquiring the electrode signals of the measurement area includes: when the target electrode is used as an excitation electrode, acquiring the excitation electrode data generated by the target electrode and the measurement electrode data generated by the other electrodes; when the target electrode is used as a measurement electrode, acquiring the excitation electrode data generated by the other electrodes and the measurement electrode data generated by the target electrode; The processing module is used to determine the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data; when the fluctuation value is within a preset fluctuation threshold range, it obtains the electrode contact impedance of the measurement area based on a preset electrode measurement method; the fluctuation value includes the sum of electrode fluctuation variances; determining the fluctuation value of the target electrode based on the excitation electrode data and the measurement electrode data includes: calculating the sum of variances of the excitation electrode data and the measurement electrode data to obtain the sum of electrode fluctuation variances corresponding to the target electrode; when it is determined that the sum of electrode fluctuation variances is not within a preset variance fluctuation threshold range, it sends an electrode detachment signal to the client; the preset fluctuation threshold range includes a preset variance fluctuation threshold range. The sending module is used to generate an electrode adjustment result based on the electrode contact impedance and send it to the client.

7. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the impedance detection method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the impedance detection method according to any one of claims 1 to 5.

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