67 results about "Electrical impedance tomography" patented technology

The invention provides a dynamic lung compliance monitoring method based on electrical impedance tomography, and the method comprises the steps: obtaining an electrical impedance signal and pressure-volume curve data, recording a time sequence signal of lung tissue in a dynamic ventilation process through a synchronous collection device, and obtaining an original multi-dimensional data set; aiming at the second feature set, eliminating redundant parameters by applying a feature screening mechanism, and evaluating the importance of each feature in different breathing stages through an information gain algorithm to obtain a third feature set; constructing a dynamic compliance monitoring model through the weighted feature set, and fitting a lung compliance change trend by using a support vector regression algorithm to obtain a real-time prediction result; and according to the updated prediction result, evaluating the improvement degree of the calculation efficiency, and judging whether the real-time performance meets clinical requirements or not by recording the model operation time and the resource occupancy rate so as to obtain final monitoring output.

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 invention relates to the technical field of intelligent nursing, in particular to an electrical impedance tomography-based pressure sore risk perception and prevention control system, which comprises an EIT signal acquisition module, an impedance trend grading module, a risk area judgment module, a bed body intervention control module and an intervention feedback regulation module. According to the invention, through an electrical impedance imaging principle, fine distinguishing of body surface and superficial tissue physiological states of a patient is realized, multi-region impedance signals are continuously collected and dynamically integrated, local tissue perfusion changes and abnormal stress trends are accurately mapped, high-risk regions are automatically identified and classified, bed body action intervention is triggered in real time, and an intervention effect is dynamically tracked; according to the method, intervention parameters are cooperatively adjusted, the response logic and the intervention rhythm of each region are gradually improved, intelligent risk judgment and closed-loop adaptive intervention are completed, individuation, initialization and process data traceability in a nursing scene are promoted, and adaptive response aiming at complex illness conditions and variable nursing requirements is supported.

The invention discloses a thoracic cavity three-dimensional electrical impedance tomography method and thoracic cavity three-dimensional electrical impedance tomography equipment. The method comprises the following steps: acquiring a three-dimensional point cloud of the appearance of a chest area of a testee to establish a three-dimensional chest model; carrying out equipment self-inspection and checking the bonding condition of the electrode; generating a determined excitation signal and injecting the excitation signal into the testee; acquiring a voltage signal of each electrode; separating EIT and ECG signals and filtering the EIT and ECG signals; according to a three-dimensional thoracic cavity model of the testee, performing positive problem calculation on the voltage signal to obtain the potential of each electrode of the three-dimensional thoracic cavity model; and performing three-dimensional reconstruction by adopting a single-step Gaussian Newton method to obtain a lung ventilation change electrical impedance imaging graph. According to the method, the three-dimensional thoracic cavity model of the testee is constructed, the positive problem solution is performed on the voltage signal, and the image reconstruction is further performed, so that the real-time high-precision three-dimensional dynamic imaging of the thoracic cavity of the testee can be completed, and the imaging accuracy is high.

The invention discloses a dam anti-seepage body integrity detection method based on an artificial power supply. Comprising the following steps: injecting a broadband excitation current signal into a dam anti-seepage body through a multi-frequency program control constant current source; a modular distributed electrode array is adopted to collect and obtain voltage data of the surface of the dam anti-seepage body in real time; high signal-to-noise ratio voltage data is obtained by adopting filtering processing and a digital phase-locked amplification technology; carrying out three-dimensional inversion calculation by adopting an improved electrical impedance tomography algorithm, and reconstructing an internal conductivity distribution image of the dam anti-seepage body; analyzing, identifying and positioning defects through a deep learning model; and constructing an electro-seepage coupling inversion model, converting the internal conductivity distribution image based on the dam anti-seepage body into permeability coefficient distribution, and generating an integrity evaluation report of the dam anti-seepage body. Compared with a traditional detection method, the method is high in detection precision, wide in application range and high in detection efficiency, and a brand new technical means is provided for evaluating the health state of the dam seepage-proofing body.

This invention provides a permanent antistatic PC material preparation system, comprising a mixing unit, an extrusion granulation unit, and an injection molding unit connected in sequence. The injection molding unit includes a barrel, a screw assembly rotatably disposed within the barrel, and an ERT sensor disposed at a nozzle at the end of the barrel. The ERT sensor includes an electrode array for online acquisition of electrical impedance tomography (EIT) data of the melt passing through the nozzle. The screw assembly includes a screw spindle with a longitudinally penetrating internal heat conduction oil channel. This internal heat conduction oil channel is connected to an external temperature control system via a connector. One section of the barrel is a compression section. A segmented thermal response sleeve is fitted around the outer periphery of the screw spindle within the compression section. The outer surface of the thermal response sleeve is provided with an outer peripheral conveying spiral. The thermal response sleeve responds to changes in the fluid temperature within the internal heat conduction oil channel by generating radial expansion displacement, thereby dynamically adjusting the compression ratio by changing the effective root diameter of the screw assembly within the compression section.

1. Name of the product in this design: Electrical impedance tomography (EIT) imaging system. 2. Application of this design: This design is used in electrical impedance tomography (EIT) imaging. 3. The key design features of this product are the overall shape of the electrical impedance tomography (EIT) imaging device. 4. The image or photograph that best illustrates the design's key points: a 3D model.

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 invention discloses a non-intrusive sewage pH measuring method based on an electrical impedance tomography technology, which comprises the following steps of: based on an electromagnetic field theory, acquiring a sewage boundary electric signal through the electrical impedance tomography technology, establishing theoretical correlation between pH and electrode potential by combining a Nernst equation, constructing a constitutive equation, and finally, inverting a pH value by measuring the boundary electric signal, so as to measure the pH value of the sewage. Therefore, a measurement mode which does not need to intrude into a pipeline and avoids pollution and interference is realized, the defects that a traditional electrode is fragile and difficult to miniaturize, and an optical fiber sensor is easily disturbed by the environment and is complex in high-precision assembly are overcome, the influence of the complex environment of a water body is avoided, and the measurement and calculation precision of the pH is improved.

The invention relates to the technical field of grounding grid fault diagnosis, and provides a grounding grid fault diagnosis method, which comprises the following steps: S1, building a corrosion fault diagnosis model according to an electric network theory method, iteratively solving the corrosion fault diagnosis model by adopting a seasonal optimization algorithm SOA, obtaining resistance change multiplied speed of each branch in a grounding grid, and determining a corroded branch or region; s2, based on the determined corroded branch circuit or region, injecting current through a grounding down lead of the power equipment, performing finite element analysis on the corroded branch circuit or region by utilizing an electrical impedance tomography (EIT) technology, and reversely deducing conductivity distribution to generate a two-dimensional chromatographic image; and S3, based on the resistance change multiplied speed of each branch and the generated two-dimensional chromatographic image, determining the specific position and corrosion degree of the corrosion fault of the grounding grid in the soil environment through a preset threshold value and a chromatographic gradient. The method aims to make full use of the advantages of respective technologies and make up for the defects of the technologies, so that the high efficiency and accuracy of grounding grid corrosion fault detection are realized.

Systems and methods for generating a finite element model (FEM) of current flow in an anatomical human forearm are disclosed. The disclosed FEM may assist in determining optimal stimulation parameters in electrical stimulation systems for achieving movement of paralyzed limbs or enhancement of able limbs. This model will allow users to determine which muscle groups are receiving stimulation under different parameters. Systems and methods which leverage electrical impedance tomography (EIT) for autonomous recalibration following garment donning are also disclosed. The method may comprise performing an EIT measurement across an electrode array of an electrode garment and constructing an anatomical model based on the EIT measurement. Next, one or more alignment variations may be estimated based on an alignment variation model. Finally, the electrode array is adjusted, automatically or manually, to accommodate the alignment variations using an alignment adjustment function.

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 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 relates to a multi-respiration mechanical state monitoring method and device for electrical impedance tomography. The method comprises the following steps: acquiring an analog physiological signal of a user based on a multi-channel acquisition unit; performing data processing and analog-to-digital conversion on the analog physiological signal to obtain a digital physiological signal; the digital physiological signals are packaged, and obtained packaged digital physiological data are sent to an electrical impedance tomography device, so that the electrical impedance tomography device performs conjoint analysis on the breathing state of the user based on the electrical impedance tomography data collected by the electrical impedance tomography device and the received packaged digital physiological data. A breathing state analysis result is obtained; compared with the prior art, the technical scheme of the invention breaks through the limitation of a specific communication protocol by collecting, processing, packaging and transmitting the analog physiological signal, realizes the universal joint monitoring of the electrical impedance tomography equipment and the respirator, and improves the comprehensiveness and accuracy of the subsequent breathing state analysis.

1. The name of this design product: Chest electrical impedance tomography (EIT) branch line. 2. Purpose of this design product: This design product is a chest electrical impedance tomography (EIT) branch line. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention discloses an electrical impedance tomography detection method for a dike termite channel, which relates to dike detection and comprises the following steps: vertically burying an electrode array in a dike, establishing a three-dimensional geometric model in finite element analysis software, and obtaining a dike internal conductivity distribution diagram by adopting a dynamic electrical impedance tomography algorithm. And extracting a suspected ant cave feature position based on the conductivity distribution diagram, carrying out field verification on the suspected ant cave feature position, and confirming the existence and position of the ant cave. According to the method, the dynamic electrical impedance tomography algorithm is combined with finite element model construction, so that three-dimensional visual detection of the ant-suffering channel in the dam is realized, the limitation that a detection area cannot be fully covered by traditional manual drilling is solved, and the space precision and range integrity of ant-suffering positioning are improved.

The application provides an electric field tomography detection system and method with adjustable electrode plate distance, which comprises a cylindrical shielding layer (1), a plate electrode array (2), a control module (3), a sinusoidal excitation voltage module (4), a multi-channel electronic switch module (5), a stepping motor transmission module (6), a voltage detection module (7), a Fourier phase extraction module (8) and an electrical impedance tomography module (9). The stepping motor transmission module (6) can accurately move the electrode plate to a suitable position, and the Fourier phase extraction module (8) is used for fast Fourier transform to simplify the phase offset calculation in the electric field tomography system. The application solves the problem of fixed electrode plate in the electric field tomography detection system, and the high accuracy of the stepping motor can accurately adjust the positions of the plate electrode array and the target object, which is beneficial to signal detection.

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 relates to an electrical impedance tomography system for controlling hydrocephalus shunting and a storage medium, the electrical impedance tomography system for controlling hydrocephalus shunting comprises a brain impedance evaluation model module, an electrical impedance data acquisition module, a control module, a pressure-adjustable valve and a group of electrodes annularly distributed on the head of a human body; the brain impedance evaluation model module is used for generating a local area standard impedance range based on the physiological characteristic parameters of the patient; the local regions are a plurality of regions divided by the brain impedance evaluation model module into the whole brain; the electrical impedance data acquisition module is used for acquiring real-time local impedance sent by the electrodes; the real-time local impedance corresponds to a local area where the hydrocephalus position of the patient is located; and the control module is used for adjusting the pressure value of the pressure-adjustable valve based on the real-time local impedance and the local area standard impedance range. According to the invention, the problem of poor timeliness of hydrocephalus shunting is solved.

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 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.

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 a diaphragm stimulation control method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring human chest impedance data through an electrical impedance tomography technology, and constructing a first lung ventilation image sequence according to the human chest impedance data; a global ventilation volume curve is extracted from the first lung ventilation image sequence, breathing cycle key points are determined according to the global ventilation volume curve, and the breathing cycle key points comprise at least one of an inspiration starting point, an inspiration peak point, an expiration starting point and an expiration end point; determining the inspiration triggering opportunity of the next cycle according to the breathing cycle key points, triggering diaphragm electrical stimulation according to the inspiration triggering opportunity, and collecting a stimulated second lung ventilation image sequence; and extracting a ventilation effect feedback index from the second lung ventilation image sequence, and adaptively adjusting diaphragm electrical stimulation parameters according to the ventilation effect feedback index.

The present application relates to the technical field of grounding grid fault diagnosis, and provides a grounding grid fault diagnosis method, comprising: S1: building a corrosion fault diagnosis model according to an electric network theory method, iteratively solving the corrosion fault diagnosis model by using a seasonal optimization algorithm SOA, obtaining resistance value change multiples of each branch in the grounding grid, and determining a branch or region where corrosion occurs; S2: based on the branch or region where corrosion occurs that has been determined, injecting current through a power equipment grounding down lead, performing finite element analysis on the branch or region where corrosion occurs by using an electrical impedance tomography technology EIT, and generating a two-dimensional chromatogram image by backstepping an electrical conductivity distribution; and S3: based on the resistance value change multiples of each branch and the generated two-dimensional chromatogram image, determining a specific position of a corrosion fault of the grounding grid in a soil environment and a corrosion degree by using a preset threshold value and a chromatographic gradient. The present application aims to make full use of the advantages of respective technologies and make up for their shortcomings, so as to realize the efficiency and accuracy of grounding grid corrosion fault detection.

This utility model discloses an information storage device for electrode strips used in electrical impedance tomography (EIT) imaging, belonging to the field of EIT imaging technology. The information storage device includes a male buckle assembly and a female buckle assembly. The male buckle assembly includes a housing, conductive posts, a circuit board, a chip, and a first probe. One end of the housing is used to mount on the baseband of the electrode strip, and the conductive posts are inserted into the other end of the housing. The conductive posts, chip, and first probe are all connected to the circuit board, with the conductive posts and first probe located on opposite sides of the circuit board. One end of the first probe contacts the housing. The female buckle assembly includes a second probe, a female buckle, and two cables. The second probe is inserted into the female buckle, and the female buckle is detachably fitted onto the other end of the housing. This utility model provides an information storage device for electrode strips used in electrical impedance tomography imaging, which can conveniently transmit its stored data to a host computer for electrode strip specification matching identification and electrode strip-host computer matching identification.

A system and method for simultaneous acquisition of electrocardiogram (ECG) signals and electrical impedance tomography (EIT) measurements on the same electrodes in a parallel-drive EIT system. A computer platform is in communication with a plurality of electrodes and applies currents to the electrodes and uses Howland noise reduction followed by an integrate-and-dump filter and adaptive filtering to extract the ECG signal without significant loss of amplitude.

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.

According to the technical scheme, the invention discloses a wearable small and smart lung function monitoring device based on electrical impedance tomography (EIT) and a data processing method of the lung function monitoring device. The device integrates the flexible electrode, the wireless transmission module and cloud AI analysis, is small in size (smaller than or equal to 200 g), achieves non-invasive, real-time and portable lung function evaluation through flexible design, wireless transmission and cloud intelligent analysis, replaces a traditional lung function instrument, can accurately predict PFT parameters only based on EIT time sequence signals of spontaneous quiet breathing of a patient, and is high in practicability. The system does not need forced inspiration / expiration actions, and is particularly suitable for family monitoring, remote medical treatment and daily health management.