26 results about "Impedance imaging" patented technology

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 provides a floating photovoltaic power station grounding resistor fault positioning method and device, the method is applied to a controller in a fault positioning system, and the fault positioning system further comprises a grounding grid of a floating photovoltaic power station, a sensing network formed by deploying sensors at key nodes of the grounding grid, and a signal generator. The method comprises the following steps: in response to a received fault positioning instruction, triggering a signal generator to inject a high-frequency test current signal into a grounding grid; acquiring a current-voltage data set through a voltage response signal of each key node acquired by a sensing network; based on the current-voltage data set, resistivity distribution reconstruction is carried out by adopting an impedance imaging algorithm, and a three-dimensional resistivity distribution diagram of the grounding grid is generated; and according to the three-dimensional resistivity distribution diagram, positioning an abnormal region with a resistance value exceeding a preset threshold value in the grounding grid. According to the method, three-dimensional visual imaging of resistivity distribution in the grounding grid and accurate positioning of an abnormal area are realized.

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 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 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 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.

The present invention relates to a magnetic resonance passive high-impedance imaging gain system. A transmitting coil is used to transmit a magnetic resonance signal to a target site to be imaged, and a receiving coil is used to receive an electromagnetic signal returned from the target site to be imaged. At a target location to be imaged, a passive high-impedance gain coil is disposed, a single-channel high-impedance coil being in parallel connection with a resonant circuit and a detuning circuit, and the single-channel high-impedance coil being used to limit the flow of internal current. When a magnetic resonance signal is received, both the resonant circuit and the detuning circuit operate simultaneously. Due to the effect of the detuning circuit, the passive high-impedance gain coil does not affect the magnetic resonance signal at this time. Meanwhile, when an electromagnetic signal is received, only the resonant circuit operates in the circuit. Under the action of the resonant circuit, the passive high-impedance gain coil enters a resonant state, thereby enhancing the electromagnetic signal. The magnetic resonance passive high-impedance imaging gain system disclosed in the present application can achieve the objective of improving imaging quality.

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 invention discloses a grounding grid electrical impedance imaging method based on an adaptive smooth Newton method. The method comprises the following steps: S1, constructing a mathematical model of grounding grid electrical impedance imaging; s2, solving a correction problem: S21, dispersing a grounding grid field domain into triangular unit grids; s22, converting the Laplacian equation into a weak form by adopting a Galerkin method; s23, potential distribution is solved; s3, solving the inverse problem; S31, constructing a target function; s32, constructing a smooth functional, and performing continuous differentiable smooth approximation on a total variation regularization item in the target function; s33, dynamically adjusting the smoothing parameter by adopting a homotopy continuation strategy, and performing iterative solution based on the smoothed target function to obtain reconstructed conductivity distribution; and S4, generating an electrical impedance image of the grounding grid. The grounding grid electrical impedance imaging method effectively improves the accuracy and stability of grounding grid electrical impedance imaging, and is suitable for solving inverse problems such as grounding grid electrical impedance imaging.

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.

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.

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 invention provides an edge AI-oriented four-probe matrix impedance imaging data processing method and system, and relates to the technical field of edge AI processing, and the method comprises the steps: collecting the original impedance data of a detected object based on a four-probe matrix array; transmitting the original impedance data to an edge AI processing unit for preprocessing to obtain standard impedance data; performing feature extraction on the standard impedance data based on the lightweight neural network model to obtain an impedance feature graph corresponding to the standard impedance data; and carrying out space region division and iterative updating on the impedance characteristic pattern based on a self-adaptive dynamic sampling strategy to output an optimal sampling region and an optimal sampling frequency corresponding to the impedance characteristic pattern. And generating an impedance distribution image on the edge device according to the impedance characteristic graph, the optimal sampling region and the optimal sampling frequency, and identifying an abnormal region in the impedance distribution image. According to the invention, the accuracy of identifying the abnormal region in the impedance imaging data can be improved.

The application discloses a kind of electrical impedance imaging devices, it is related to electrical impedance imaging technical field.Electrical impedance imaging device includes: electrode array, main control module, excitation signal buffer module, excitation signal amplification module, output control module and sampling module;Electrode array is used to contact with the target to be measured;Electrode array includes multiple electrodes;Main control module is used to provide excitation signal to excitation signal buffer module;Excitation signal buffer module is used to buffer excitation signal and provide to excitation signal amplification module;Excitation signal amplification module is used to amplify excitation signal and provide to output control module;Output control module is used to provide excitation signal to each electrode in time-sharing;Sampling module is used to collect the sampling signal fed back by each electrode;Main control module is also used to determine the electrical impedance distribution of the target to be measured according to the sampling signal of each electrode.The application improves the precision and stability of electrical impedance distribution measurement by using multi-stage buffer and amplification to process excitation signal.

The utility model provides a wearable portable chest electrical impedance imaging system, relates to the electrical impedance imaging technology field, and comprises an electrode band, a data processing host and a display host, the electrode band is used for collecting human body electrical impedance data, the data processing host is used for processing the human body electrical impedance data collected by the electrode band, and the display host is used for displaying the processed human body electrical impedance data. The data processing host is used for processing the data and sending the data to the display host, the display host is used for displaying the data processed by the data processing host, the electrode band is electrically connected with one end of the data processing host, and the other end of the data processing host is electrically connected with the display host; according to the wearable portable chest electrical impedance imaging system, convenient and fast power-on connection can be effectively carried out to carry out signal transmission, so that the use convenience is improved.

This invention discloses a power impedance imaging system, comprising at least two electrode strips and a controller, with adjacent electrode strips elastically connected. Each electrode strip includes multiple electrodes arranged in an array. The controller is electrically connected to each electrode. The controller is used to provide electrical signals to the electrodes or to receive feedback electrical signals from the electrodes. When each electrode strip is fixed to the surface of the body to be tested, the controller is configured to determine the excitation electrical signal provided to the electrodes based on the inter-strip spacing between adjacent electrode strips. The technical solution provided by this invention can improve the imaging resolution and clarity of the power impedance imaging system, thereby improving image quality.

The invention discloses a three-dimensional pulmonary ventilation electrical impedance imaging method and system, and belongs to the technical field of electrical impedance imagines.The method comprises the steps that a denoising voltage measurement value is obtained through a residual denoising network; the random input quantity is sent to a dual-output neural network with an encoder and a decoder, a full-connection branch is added to the output end of the encoder, a latent variable is output, and a lung mask is generated through a lung mask generator and serves as model generation priori; the decoder generates a lung ventilation image, and the dual-output network structure provides implicit regularization; based on the denoising voltage measurement value, the lung shape mask and the estimated boundary voltage, an image reconstruction loss function containing a data consistency item and a lung shape loss item is adopted, dual-output neural network parameters are optimized through minimum iteration of the reconstruction loss function, and image reconstruction is conducted on each instance in an unsupervised mode. According to the method, the robust performance and generalization performance of lung ventilation imaging are improved, and the image quality is improved.

This invention discloses a resistive impedance imaging tactile sensor for underwater structure detection, comprising a flexible conductive sensing layer and an insulating encapsulation layer arranged sequentially from the inside out. The flexible conductive sensing layer includes an electrode layer and a flexible conductive layer, wherein the surface of the electrode layer has a microgroove structure. The flexible conductive layer and the electrode layer are stacked and embedded in the microgroove to form a mechanical interlocking structure. The insulating encapsulation layer includes a flexible insulating layer and a shielding layer, which are bonded together without adhesive to form a sealed encapsulation structure. This sensor achieves highly reliable interlayer bonding and sealing without adhesives, effectively avoiding performance failure caused by adhesive hydrolysis, interface delamination, or moisture penetration in the underwater environment. It is suitable for long-term, stable underwater resistive impedance imaging detection.

The portable bioelectric impedance imaging system and method based on AD5940 generates an alternating excitation signal by a signal conditioning and acquisition device, and under the unified control of a control and communication device, the measured object is injected after being selected by an electrode interface device; the measured object forms a current distribution field under the excitation, and generates a boundary response signal between the remaining electrodes; the response signal is returned to the signal conditioning and acquisition device through the electrode interface device, and after analog conditioning, analog-digital conversion and frequency domain operation, boundary electrical measurement data is obtained; the control and communication device sends the boundary electrical measurement data to an external terminal for processing and obtains an image. Based on the above overall structure, the multi-electrode time division multiplexing measurement device is designed uniformly at the system level, while ensuring the integration and portability of the device, the boundary excitation, the acquisition link and the imaging processing link are integrated and cooperated, so that the portable bioelectric impedance imaging system based on AD5940 has the advantages of smaller size and convenient carrying application.

This invention discloses a method, device, vehicle, medium, and program product for detecting driver health status. It includes: acquiring actual voltage vectors through multiple electrodes while the driver is holding the steering wheel; constructing an impedance distribution image based on the actual voltage vector, simulated boundary voltage, and a pre-constructed impedance imaging objective function; performing feature analysis on the impedance distribution image; and determining the driver's health status based on the obtained feature analysis results. Direct contact electrical signal acquisition is performed using multiple electrodes placed on the steering wheel to obtain actual voltage vectors directly affected by the driver's physiological state. Then, an internal impedance change imaging model is constructed from a medical perspective based on the acquired actual voltage vectors to obtain the corresponding impedance distribution image. Finally, the driver's health status is determined based on the feature analysis of the impedance distribution image, improving the professionalism and reliability of the driver health status determination.

The application provides a kind of electrical impedance imaging method, device, storage medium and electronic equipment, it is related to electrical impedance imaging technical field, the method is applied to electrical impedance imaging system, the electrical impedance imaging system includes multiple electrodes arranged in the region to be measured, the method comprises: when detecting that there is disabled electrode in the multiple electrodes, the electrode grouping interval of pre-set is used to group the electrode except the disabled electrode in the multiple electrodes, obtain first electrode group set;The first electrode group set is used as first excitation electrode group;The first electrode group set is used as first measurement electrode group;Based on the first excitation electrode group and the first measurement electrode group, the region to be measured is electrically impedance imaged.The technical scheme provided by the application can still obtain more accurate electrical impedance imaging results in the presence of disabled electrode.

The present disclosure provides a method and apparatus for calculating a matching index of ventilation and blood perfusion, wherein the method comprises the following steps: using an electrical impedance tomography device to acquire electrical impedance signals from the thoracic cavity of a human body; extracting ventilation-related signals and blood perfusion-related signals from the electrical impedance signals, and plotting a ventilation-related electrical impedance image and a blood perfusion-related electrical impedance image on the basis of the ventilation-related signals and the blood perfusion-related signals, respectively; and calculating the matching index of ventilation and blood perfusion according to pixel point values of the ventilation-related electrical impedance image and the blood perfusion-related electrical impedance image.

The application discloses a three-dimensional lung ventilation electrical impedance imaging method and system, and belongs to the technical field of electrical impedance imaging. The method comprises the following steps: obtaining denoised voltage measurement values by using a residual denoising network; sending random input quantities into a double-output neural network with an encoder and a decoder; attaching a full-connection branch to the output end of the encoder, outputting a latent variable, and generating a lung mask by using a lung mask generator, so as to serve as a generative model prior; the decoder generates a lung ventilation image, and the double-output network structure itself provides implicit regularization; based on the denoised voltage measurement values, the lung shape mask and the estimated boundary voltage, an image reconstruction loss function comprising a data consistency term and a lung shape loss term is adopted, the double-output neural network parameters are iteratively optimized by using the reconstruction loss function, and image reconstruction is performed on each instance in an unsupervised manner. The method improves the robust performance and generalization performance of lung ventilation imaging, and improves the image quality.