46 results about "Electrical impedance imaging" patented technology

The invention discloses a reverse osmosis membrane concentration polarization layer thickness prediction method and device based on electrical impedance tomography, and relates to the technical field of membrane process nondestructive monitoring, and the method comprises the following steps: constructing a simulation model based on an electrode array membrane filtration sensor; virtual media with different conductivities are arranged on the surface of the membrane, a simulation conductivity image is reconstructed through a conjugate gradient least square algorithm and a sensitivity matrix, and a neural network is improved through known conductivity training; and reconstructing an actually measured conductivity image by an actually measured boundary voltage data set, predicting a membrane surface conductivity estimated value by using the trained improved neural network, and performing concentration polarization layer thickness mapping. A conductivity image with a conductivity label is generated through numerical simulation, so that the problem that the thickness of the concentration polarization layer is difficult to calibrate is solved, then a neural network is improved through training so that the truth value of the conductivity can be predicted according to the conductivity image, and interpretable mapping of the thickness of the concentration polarization layer is carried out in combination with a membrane mass transfer theory. The thickness of the concentration polarization layer can be subjected to online lossless quantitative detection.

The present application relates to a kind of electrode belt and electrode assembly for electrical impedance imaging, it is related to biomedical electrical impedance imaging technical field.The electrode belt for electrical impedance imaging of the present application, including band body, the band body includes multiple electrode segments arranged along length, and elastic segment between adjacent electrode segments, the electrode segment can be used to set electrode assembly, the thickness of the electrode segment is greater than the thickness of the elastic segment, so that the elastic segment is more likely to occur elastic deformation compared with the electrode segment.Band body can be more conveniently fixed around the body of the object to be measured, and the fixing mode is simple, can make electrode and the surface of the object to be measured always keep good contact.

The invention discloses an extensible three-dimensional electrical impedance imaging electrode array device, and belongs to the technical field of biomedical measurement. The device comprises a two-dimensional electrode interface module which is connected with original two-dimensional equipment through a series input and expansion interface; the three-dimensional common electrode array comprises a plurality of groups of electrodes at different horizontal layers; the input end of the three-dimensional electrode control module is connected to the two-dimensional electrode interface module, and the output end of the three-dimensional electrode control module is connected to the three-dimensional common electrode array. The control module comprises an electrode array control connector which is connected in parallel and an isolation type analog switch unit of a multi-stage series analog switch structure. By sending a control signal to the control connector, all electrode channels on a certain layer in the three-dimensional electrode array are uniformly gated, and original two-dimensional measurement is mapped to a three-dimensional space. According to the invention, three-dimensional measurement can be realized without changing the original equipment, the number of vertical layers expanded by serial connection of interfaces is supported, the number of horizontal electrodes expanded by parallel connection is controlled, and high compatibility, high expansibility and excellent signal isolation capability are realized.

The application discloses an electrode ring and an electrical impedance imaging system for electrical impedance imaging. The electrode ring comprises a metal ring, a filler, an elastic fabric, a plurality of electrodes and a plurality of electrode lines, wherein the metal ring can adjust its diameter in a circular structure; the filler is arranged between the metal ring and the elastic fabric; the elastic fabric covers the metal ring, the filler and the plurality of electrodes; the plurality of electrode lines are wrapped between the filler and are led out as an electrode belt after being gathered together and are connected with an external electrical impedance imaging system; the plurality of electrodes are fixed on the surface of the elastic fabric in an equidistance manner, each electrode is connected by a corresponding electrode line, and the electrodes are not connected with each other. The electrode ring designed in the application can freely stretch and shrink in different limb diameter ranges, solves the problem of unfixed electrode spacing in the existing electrical impedance tomography electrode technology, and improves the wearing comfort and the stability of signal acquisition.

The application discloses a brain injury identification method and an identification system. The identification system identifies the injury of a patient according to the identification method. The identification method comprises the following steps: firstly, the electrical impedance tomography (EIT) of the brain of the patient is performed to obtain the EIT image of the brain of the patient; then, the region with abnormal resistivity distribution in the EIT image of the brain is taken as a reference for scanning of a near-infrared spectrometer, and a scanning path of the near-infrared spectrometer is planned; finally, the near-infrared spectrometer is scanned along the scanning path, and the lesion range and the lesion type are determined according to the obtained near-infrared spectral data. The electrodes need not be arranged on the whole head of the patient, and the automatic and rapid identification of the lesion range and the nature of the brain injury is realized.

The invention relates to the technical field of focused ultrasound treatment, in particular to a real-time feedback phased array focused ultrasound treatment system, which comprises the following steps of: 1, fixing integrated equipment of ultrasonic transducers and EIT electrodes which are alternately and annularly arranged on a head, acquiring a three-dimensional image of the head by using imaging technologies such as CT or MRI and the like, and marking the spatial positions of the electrode, the ultrasonic array and the treatment target spot on the image. According to the invention, brain region real-time three-dimensional electrical impedance imaging is used as feedback, the excitation time sequence, intensity and phase of the ultrasonic array are adaptively adjusted, the influence of skull structure difference on ultrasonic focusing can be effectively overcome, the system calculates the phase shift of the ultrasonic array in real time, it is ensured that an ultrasonic beam is accurately focused at a treatment target, and the treatment accuracy is improved. The device is particularly suitable for a patient with a complex skull structure, the treatment accuracy is improved, it is ensured that ultrasonic energy accurately acts on a lesion area, and damage to surrounding healthy tissue is avoided.

The invention discloses an electrical impedance tomography method based on parameter optimization and boundary clustering, which combines penalty functions of two regularization algorithms Tikhonov and TV for application, proposes that a particle swarm algorithm is used for regularization parameter optimization of the combined penalty functions, and takes an image quality index (AL) as a fitness value of the particle swarm algorithm, so as to determine an optimal regularization parameter, and finally to obtain the electrical impedance tomography based on the parameter optimization and boundary clustering. The conductivity is obtained through a Newton iteration method, in order to further remove the artifacts, a boundary object B (artifacts) of the target is obtained through a Niblack algorithm, deep retrieval is conducted on the boundary object B of the target through a boundary clustering algorithm, all background pixels A are obtained, and the final conductivity distribution can be obtained. Simulation and actual measurement results show that the image reconstructed by the paper method can more accurately reflect the position information of the target object in the electric field, artifacts are effectively inhibited, and the reconstruction effect is improved.

The invention discloses an EIT reconstruction method and system based on cross-domain learning and physical guidance. The method comprises the following steps: setting conditions; collecting voltage measurement data, and constructing a two-dimensional voltage data matrix; defining source domain data and target domain data; performing feature coding on the data of the two domains, and introducing physical bias based on a lead field similarity matrix in the coding process; and inputting the coded data into the same decoder to perform conductivity image reconstruction, and performing cross-domain consistency learning in combination with a loss function. The system comprises a condition definition module, a data preprocessing module and a model training module. By using the method and the device, the problems of reconstruction resolution reduction and structure distortion caused by insufficient measurement information can be effectively relieved, so that the image reconstruction quality under a low-electrode condition is remarkably improved. The method can be widely applied to the field of electrical impedance images.

This invention discloses a method for measuring cranial thickness based on bioelectrical impedance analysis (BIA), comprising: dividing the target region into subdivisions using the finite element method (FEM) to establish a finite element model; acquiring surface voltage signals of the skull using a four-electrode method on a brain electrical impedance imaging platform; obtaining the conductivity distribution of each node of the triangular element by solving the inverse voltage problem; inputting the conductivity distribution into the finite element model and calculating the distance between the node with the largest resistivity change and the corresponding boundary voltage node by solving the forward problem, thus obtaining the skull width at a set of signal locations; measuring the node voltages and calculating the corresponding skull thickness using a sixteen-electrode cyclic excitation method; and finally, assembling all node voltages and skull thicknesses into a plane to obtain the overall skull thickness. This invention designs a method for measuring cranial thickness based on bioelectrical impedance analysis (BIA), providing an accurate method for calculating cranial thickness.

The application discloses a knee joint imaging method and device, a server and a storage medium. The method is executed by the server, the server is wirelessly connected with an electrical impedance imaging device and a terminal device, and the method comprises the following steps: receiving electrical impedance imaging data collected by the electrical impedance imaging device on a knee joint region of a target object; performing image reconstruction on the electrical impedance imaging data collected by the electrical impedance imaging device on the knee joint region of the target object to obtain a knee joint effusion detection image; and sending the knee joint effusion detection image to the terminal device, and displaying the knee joint effusion detection image on the terminal device through a graphical user interface. According to the technical scheme, the electrical impedance imaging data collected by the server on the knee joint region of the target object is subjected to image reconstruction, cloud imaging is realized, compared with the existing local imaging scheme, the image reconstruction speed is improved, and a high-performance computer does not need to be installed locally, so that the knee joint effusion detection is more convenient.

The invention belongs to the technical field of medical rehabilitation assessment, and provides a urinary surgery postoperative wound rehabilitation assessment method based on artificial intelligence, electronic equipment and a storage medium. The method comprises the steps of multi-source data acquisition, data preprocessing, spatial alignment, normalization processing, three-branch network feature extraction, feature integration, feature compression, feature mapping and wound rehabilitation grade matching. Through three-mode objective data of microwave imaging, electrical impedance imaging and bioelectrical impedance, the whole data acquisition process is free of invasion and interference, and errors caused by individual differences are reduced; through a three-branch feature extraction network and a deep fusion process, different types of data characteristics are adapted, cross-modal information complementation is realized, and wound rehabilitation multi-dimensional key signals are captured.

The invention discloses a skin tumor three-dimensional electrical impedance tomography method and device and a storage medium. The method comprises the following steps: acquiring a skin surface boundary voltage signal by using a planar electrode, and generating a space virtual electrode equivalent voltage through nonlinear mapping from a planar electrode domain to a space virtual electrode domain; mapping the voltage into a two-dimensional voltage feature map through bilinear interpolation, inputting the feature as prior information into a three-dimensional electrical impedance imaging reconstruction network, and performing depth matching inversion on the body area conductivity distribution based on a sliding window SwinUNet network to obtain a three-dimensional conductivity image; constructing a skin tissue finite element model, and generating a simulation data set; and training nonlinear mapping by adopting the simulation data set and verifying the depth matching inversion performance. The method can still keep stable reconstruction quality under uncertain conditions such as poor electrode contact, channel loss and skin structure change, has high robustness and adaptability, and has good clinical application value.

The invention discloses a pulmonary embolism identification and evaluation method based on electrical impedance tomography of a pulsation method, and belongs to the technical field of medical treatment. The method comprises the following steps: acquiring an electrical impedance signal through an electrode array surrounding the chest, separating a ventilation signal from a perfusion signal by using a preset algorithm, calculating a matching index, an image matching degree, a perfusion deficiency index and a ventilation deficiency index, judging a pulmonary embolism risk level by combining a blood flow to ventilation volume ratio, and generating a visual report; the method further comprises the steps of dynamic treatment effect monitoring, data processing, bedside monitoring, preparation before signal acquisition and the like. Noninvasive bedside identification of pulmonary embolism is achieved, the invasiveness, radiation risk and transfer limitation of traditional examination are avoided, the treatment effect can be evaluated in real time to assist scheme adjustment, diagnosis and treatment convenience and universality are improved, and reasonable allocation of medical resources and diagnosis and treatment standardization are assisted.

The present application relates to the field of electrical impedance imaging, and discloses a regional lung perfusion delay time analysis method, an electronic device and a storage medium. A dynamic image of conductivity change caused by blood perfusion in a human thoracic cavity is obtained. A blood perfusion image of a heart region and a blood perfusion image of a lung region are separated. A reference curve of conductivity change of the heart region is obtained according to the dynamic image of blood perfusion conductivity change and the blood perfusion image of the heart region. A conductivity change curve of each pixel point in the blood perfusion image of the lung region is obtained according to the dynamic image of blood perfusion conductivity change and the blood perfusion image of the lung region. The conductivity change curve is divided by a sliding time window, and a regional lung perfusion delay time is calculated in each time window. The time resolution advantage of electrical impedance imaging technology is fully utilized, and the time delay of the time when the local blood volume of the lung reaches the maximum relative to the end of the ventricular diastole is reflected by calculating the regional lung perfusion delay time.

The application discloses a ventilator adjustment method, device, system and medium based on electrical impedance imaging. The method comprises the following steps: collecting chest electrical impedance data in real time by using an EIT device; obtaining impedance values of a target lung region image based on the chest electrical impedance data; obtaining ventilator parameters by using the ventilator; inputting the ventilator parameters and the impedance values of the target lung region image into a trained mathematical model to obtain a ventilation parameter prediction value output by the trained mathematical model; and adjusting parameters of the ventilator based on the ventilation parameter prediction value. By using the method, the accuracy of ventilator parameter adjustment can be improved.

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.

The present invention relates to an electrical impedance imaging assembly (10), an electrical impedance imaging device, an electrical impedance imaging set, and a method for manufacturing the electrical impedance imaging assembly. The electrical impedance imaging assembly (10) includes at least one electrode patch (11, 21) externally applied to a patient. The electrode patch includes multiple electrodes (12, 22) for measuring the impedance of a target object located between the multiple electrodes (12, 22). The electrical impedance imaging assembly further includes a first interface (13) for transmitting electrical signals between the electrode patches (11, 21) and an external device (100). The external device calculates a feature of the target object, particularly a three-dimensional tomographic image (101) of the target object, based on the electrical signals from the electrodes (12, 22). At least the first electrode patch (11) includes at least 12 electrodes (12), preferably 16 to 32 electrodes, and the electrodes (12) are arranged in a two-dimensional pattern, preferably a matrix, on a substrate (14) of the first electrode patch. The first electrode patch (11) comprises an adhesive (15) for fixing the first electrode patch (11) to the patient's skin, and preferably the ratio of the area of ​​the adhesive surface (16) for contact with the skin to the area of ​​the total surface (17) of the electrode (12) facing the skin is between 0.5 and 2.

This invention discloses a method and device for three-dimensional electrical impedance tomography (EIT) of the thoracic cavity. The method includes acquiring a three-dimensional point cloud of the thoracic cavity region of the subject to establish a three-dimensional thoracic cavity model; performing device self-test and checking electrode fit; generating a predetermined excitation signal and injecting it into the subject; acquiring voltage signals from each electrode; separating and filtering EIT and ECG signals; performing forward problem calculation on the voltage signals based on the subject's three-dimensional thoracic cavity model to obtain the potentials of each electrode in the three-dimensional thoracic cavity model; and performing three-dimensional reconstruction using the single-step Gauss-Newton method to obtain an electrical impedance tomography map of pulmonary ventilation changes. This invention, by constructing a three-dimensional thoracic cavity model of the subject, performing forward problem calculation on the voltage signals, and further reconstructing the image, can achieve real-time, high-precision three-dimensional dynamic imaging of the subject's thoracic cavity with high imaging accuracy.

The invention discloses an electric field stimulation closed-loop control method and device based on electrical impedance tomography, and the method comprises the steps: obtaining voltage change information obtained through measurement, carrying out the coupling of a detection image and user breathing data, and generating a digital twinborn model, and obtaining a sensitive field corresponding to each excitation measurement combination according to the digital twin model and the excitation constant current, carrying out differential imaging to obtain a reconstructed image, carrying out absolute conductivity assignment on the reconstructed image, carrying out convex optimization to obtain a target optimization parameter, generating a corresponding control instruction according to the target optimization parameter, and sending the control instruction to the electrical stimulation unit. According to the electric field stimulation closed-loop control method based on electrical impedance tomography, the initial control parameters are optimized by constructing the digital twin model and combining image processing, so that the accurate target optimization parameters are obtained, the application effect of electric field stimulation control is improved through closed-loop optimization, and the accuracy of electric field stimulation control is greatly improved.

The application discloses a high-temperature embedded electric impedance imaging system and a use method thereof, and belongs to the technical field of composite material nondestructive testing. The system comprises an embedded controller, a current excitation module, a channel switching module, a voltage signal acquisition module, a communication module, a high-temperature electrode array, a power supply and an upper computer system. The embedded controller is connected with the upper computer system through the communication module. The current excitation module is connected with the embedded controller and the channel switching module respectively. The channel switching module is connected with the current excitation module and the high-temperature electrode array respectively. The voltage signal acquisition module is connected with the current excitation module, the channel switching module and the embedded controller in signal. The embedded controller can automatically adjust the excitation current size to obtain a suitable excited voltage difference value. In combination with a filtering algorithm, abnormal voltage signals under the influence of high temperature and high change load can be eliminated. The high-temperature electrode manufacturing method and the cooling scheme are used to realize electric impedance detection in a high-temperature gas environment.

The invention provides a pseudo-ginseng digging shovel digging control system based on electrical impedance imaging, which relates to the field of intelligent digging and comprises an electrical impedance imaging component (10), a controllable digging component (20), an industrial computer, a PID (Proportion Integration Differentiation) controller (30) and a high-pressure air pump (40), the electrical impedance imaging assembly (10) is arranged in front of the controllable digging assembly (20) and comprises an electrode plate (11), an electrical impedance undercarriage (12), an electrode bar (13), an electrode slice (14) and an air injection cleaning head (15), and the controllable digging assembly (20) comprises a digging support (21), a digging shovel (22), an angle control hydraulic rod (23) and a depth control undercarriage (24); and the industrial computer, the PID controller (30) and the high-pressure air pump (40) are arranged behind the controllable excavating assembly (20). By means of the system, precise and lossless excavation of pseudo-ginseng can be achieved, and damage in the excavation process is effectively avoided.

The invention provides an FPGA-based multi-frequency electrical impedance imaging automatic compensation device and a measurement method, the device comprises an FPGA master controller, a compensation path and an electrical impedance excitation and measurement path, and the device aims to solve the problem that in the process that a voltage-controlled current source rises along with the frequency of a multi-frequency signal, the signal amplitude is reduced due to the fact that the current output stability is reduced due to output impedance attenuation. Amplitude compensation is carried out on a multi-frequency signal by using an AGC module, the amplitude of the multi-frequency signal is automatically compensated, a framework of alternating calibration and measurement is adopted, and under the action of a control signal of an FPGA, calibration is carried out firstly and then measurement is carried out through an analog switch. By means of the design, automatic amplitude compensation of multi-frequency signals is achieved, the current stability is improved, and the measurement precision of a multi-frequency electrical impedance imaging system is improved.

The utility model provides an electrode band and electrical impedance imaging equipment. The electrode band comprises a connecting band and a plurality of electrode assemblies, the connecting belt comprises a plurality of mounting parts and a plurality of connecting parts, and the plurality of mounting parts and the plurality of connecting parts are arranged in a staggered manner; each mounting part is provided with a mounting hole, and the electrode assembly is mounted in the mounting hole; and the width of the mounting part along the width direction of the electrode strip is greater than that of the connecting part along the width direction of the electrode strip. In the utility model, the plurality of mounting parts and the plurality of connecting parts are matched to form the special-shaped connecting belt according with ergonomics, so that when the electrode belt is in contact with the to-be-detected part of the human body and the angle of the electrode belt is adjusted, the electrode belt can be ensured to be vertical to the to-be-detected part of the human body to be tightly attached; the fitness of the electrode band in contact with the to-be-detected part of the human body is improved, impedance value fluctuation is avoided, and the imaging effect and accuracy are guaranteed.

The present disclosure provides a blood perfusion electrical impedance imaging method and system, the blood perfusion electrical impedance imaging method comprising: acquiring a real-time photoplethysmographic pulse wave signal at a fingertip of a target object; arranging n groups of electrode pairs to form an array sensor, each group of electrode pairs comprising two electrodes, and n being an integer not less than 4; arranging the array sensor along a circumferential direction of a chest cavity of the target object; in an adjacent excitation measurement mode, applying an excitation current to a first electrode pair, sequentially measuring voltage difference data of each of the other electrode pairs except the first electrode pair, and cyclically applying the excitation current to the electrodes to obtain a plurality of impedance values; performing equal-time-interval sampling on each of the impedance values to obtain an impedance signal corresponding to each of the impedance values, taking the photoplethysmographic pulse wave signal as a reference signal, and respectively performing matched filtering on each of the impedance signals and the reference signal to obtain a blood perfusion signal; and generating a blood perfusion image according to the blood perfusion signal, the blood perfusion image representing a blood perfusion condition of the chest cavity.

The invention discloses a three-dimensional force tactile sensing system based on a photoelectric impedance imaging device and a preparation method, the three-dimensional force tactile sensing system comprises the photoelectric impedance imaging device, a light source module, a light scattering deformation layer and a data acquisition and processing module, the photoelectric impedance imaging device comprises a substrate, and a photoelectric sensitive layer is constructed at the upper part of the substrate; a specific number of conductive electrode arrays are arranged on the periphery of the sensing area, a light distribution image is reconstructed by collecting electrical signals when the tactile sensing system is under pressure and a photoelectric impedance imaging device, a light spot position and a standard deviation parameter are extracted through Gaussian function fitting, tangential force and normal force are calculated respectively, and three-dimensional force sensing is achieved. In addition, effective classification of the tactile system under different tactile conditions is realized by using an artificial intelligence algorithm. The three-dimensional force tactile sensing system is low in interconnection complexity and high in damage fault tolerance, effectively solves the problems that a traditional optical tactile sensor is large in rigidity, complex in structure and high in cost, and is suitable for robot flexible operation and artificial limb tactile perception.

The application provides a focused cardiac electrical impedance imaging method, comprising the following steps: S1, obtaining a high-resolution medical image of a chest; S2, extracting a chest cavity and a heart region; S3, calculating a focused sensor; S4, processing and installing the sensor; S5, collecting EIT measurement voltage data; S6, according to the measurement voltage data, realizing chest conductivity image reconstruction according to an image reconstruction algorithm; and S7, generating a high-precision heart-lung conductivity image. The focused cardiac electrical impedance imaging method is based on a conformal transformation method, and realizes focused EIT sensor design under the condition that a subject's chest contour and heart region are available, and then, in combination with a data acquisition system and an image reconstruction algorithm, high-precision cardiac electrical impedance imaging is realized.

The invention relates to a high-frequency electrical impedance diagnosis and treatment device and an operation method thereof, and belongs to the field of biomedical engineering. The device comprises a double-radio-frequency generation module, a microcontroller, a touch display module, a high-speed calculation unit, a radio-frequency controller and a diagnosis and treatment electrode array. The microcontroller controls a first radio frequency module of the double-radio frequency generation module to output high-frequency signals with different frequencies to the diagnosis and treatment electrode array, and meanwhile electrical impedance information of different electrode pairs in the electrode array is rapidly collected and transmitted to the high-speed calculation unit. The high-speed calculation unit generates ablation area information in real time by using an electrical impedance analysis algorithm, then controls the microcontroller to control the second radio frequency module to output a radio frequency treatment signal, and meanwhile regulates and controls the diagnosis and treatment electrode array to accurately act radio frequency energy on a treatment area. According to the invention, the intraoperative treatment process is monitored in real time by using the electrical characteristics of tissues at different frequencies and the electrical impedance imaging principle, and the radio frequency treatment technology is combined, so that the radio frequency treatment is realized, and meanwhile, the accurate treatment of an ablation area is monitored in real time.

The application discloses a soft tissue puncture path planning and monitoring method and system based on electrical impedance imaging. The method comprises the following steps: before puncture, multi-modal soft tissue information is acquired through multi-frequency domain electrical impedance imaging, ultrasonic imaging and nuclear magnetic resonance imaging; an image reconstruction model is established to fuse multi-modal information and improve imaging resolution; preoperative path planning modeling is performed to define state space and action space, and global and local reward functions are designed to optimize path strategy; in operation, a puncture needle front-end mechanical sensor is used to monitor path resistance in real time, and the path is dynamically adjusted; and the optimal route design is achieved through iterative training. The system comprises data acquisition, image reconstruction, route planning, intraoperative monitoring and abnormal alarm modules, can effectively reduce tissue damage rate and shorten operation time, and provides precise and intelligent technical support for minimally invasive interventional surgery.

The present application belongs to the field of intelligent medical treatment, and particularly relates to a critical patient Pendelluft automatic detection method based on electrical impedance tomography and artificial intelligence. The method comprises: acquiring EIT data of a lung region of a patient within a monitoring period; segmenting the lung region into multiple regions, and extracting EIT data of the multiple regions to obtain EIT signals of the multiple regions; obtaining a tidal resistance characteristic based on the EIT signals, the tidal resistance characteristic comprising: a regional tidal resistance amplitude difference and an adjacent regional tidal resistance amplitude difference; calculating an EIT ventilation characteristic based on the tidal resistance characteristic, the EIT ventilation characteristic being a swing breath; and judging whether the patient has Pendelluft based on the EIT ventilation characteristic. Based on real-time acquired EIT time series data, through processing of the time series data, an index reflecting whether Pendelluft exists and its severity is extracted, and based on real-time monitoring of Pendelluft, the clinical management of a clinician on a mechanically ventilated patient is assisted.

The application relates to an electrical impedance imaging device calibration method and a storage medium, wherein the electrical impedance imaging device calibration method comprises the following steps: acquiring multiple channel data in a measurement area; the measurement area is an area where a known impedance analog load is located; each channel corresponds to a pair of excitation electrodes and a pair of measurement electrodes; the excitation electrodes and the measurement electrodes are connected to the known impedance analog load; for each channel and each frequency in a preset frequency range, based on the channel data and a preset target current, an excitation current injected into the excitation electrodes is calibrated by adjusting a current configuration command to obtain an excitation calibration result; the excitation calibration result comprises a current configuration command under a corresponding frequency, a corresponding channel and a corresponding target current. Through the application, the problem of poor consistency of imaging results is solved.