125 results about "Electrical impedance" patented technology

The invention discloses a photovoltaic string fault positioning method based on a dynamic threshold value and topology analysis. The method comprises the following steps: firstly, collecting current, voltage, temperature and illumination intensity data of a string in real time; then, generating a fault judgment threshold dynamically adjusted along with the environment based on historical data and an LSTM model; then, comparing the real-time data with a dynamic threshold value to detect an abnormal node; then, constructing a string topology network taking electrical impedance as a weight, and accurately positioning a fault point by using a Dijkstra shortest path algorithm; and finally, multi-dimensional features are extracted, specific fault types such as hot spots and open circuits are identified through a fuzzy logic classifier, and a diagnosis report is output. According to the method, the problems that the static threshold false alarm rate is high and the traditional topology analysis precision is insufficient are solved, rapid and accurate positioning and diagnosis of photovoltaic faults are realized, and the operation and maintenance efficiency is improved.

The invention provides a tumor recognition method based on multi-modal feature fusion, relates to the technical field of tumor recognition, and is used for solving the problems of missing multi-modal feature calibration, insufficient semantic association, poor generalization and insufficient clinical interpretability in the prior art. The method comprises the following steps: firstly, synchronously acquiring visual structure and electrical impedance bimodal data through an event-driven sensor array, and completing preprocessing through pulse coding, STDP rule optimization and quality verification; then, respectively extracting structured feature vectors of a tumor visual structure class and characteristic feature vectors of a numerical attribute class by a heterogeneous twin coding engine, and unifying dimensions and distribution through processes such as multi-scale dynamic perception and cross-modal calibration; then based on an attention mechanism, InfoNCE contrast loss and minority class weight gain, dynamic weighted fusion and semantic association enhancement are performed on the bimodal features, and a comprehensive feature vector is generated; and finally, through clinical logic adaptation and multi-center deviation correction, outputting a tumor benign and malignant identification result through a full-connection classifier, and synchronously generating a clinical interpretable report containing key features and weights. According to the method, the complementary advantages of bimodal information are effectively integrated, the problems of heterogeneous multi-center equipment, unbalanced samples and the like are solved, the tumor recognition accuracy and the early-stage tiny tumor detection rate are improved, the computing power consumption is reduced, edge medical equipment deployment is adapted, and the requirements for low misjudgment and traceability of clinical diagnosis are met.

The invention discloses a multi-modal tumor identification method based on a frequency domain attention mechanism. The method comprises the following steps: S1, acquiring multi-frequency bioelectrical impedance signals of tumor tissues and normal tissues and corresponding medical tumor pathological images; s2, extracting a frequency-time feature of the electrical impedance signal and a spatial feature of the pathological image through a multi-modal feature coding module, and generating a multi-modal fusion feature; s3, converting the multi-modal fusion features into frequency domain representation, performing weighted enhancement on the multi-modal fusion features through a frequency domain attention module, and outputting the features; and S4, fusing the features output by the frequency domain attention module and the superficial layer features in the coding stage through jump connection to obtain enhanced features, inputting the enhanced features into a decoding network, and outputting a tumor classification result. According to the method, the bioelectrical impedance signal and the multi-modal information of the pathological image are fused, and a frequency domain attention mechanism is introduced to effectively improve the expression ability of key frequency characteristics.

A portable, multimodal dental diagnostic device for assessing the vitality of the dental pulp, consisting of: a detachable diagnostic component comprising a variety of probes, including the following: a heat probe configured to deliver controlled heat stimuli to a tooth surface and measure the heat response of the dental pulp; an electrical probe configured to deliver low-voltage electrical pulses to the tooth surface and measure the electrical impedance of the dental pulp; and an optical probe configured to assess blood oxygen saturation and microcirculation in the dental pulp using near-infrared light; a microcontroller unit configured to process sensor data from the thermal probe, the electrical probe and the optical probe, to calibrate measurements based on the oral base temperature and the ambient conditions, to aggregate multimodal sensor data and to control the operation of the thermal probe, the electrical probe and the optical probe; a cloud platform configured to receive and store aggregated sensor data, run artificial intelligence algorithms to analyze multimodal sensor data and generate diagnostic insights that include vital signs and diagnostic probabilities; a user application that is communicatively connected to the cloud platform and configured to wirelessly receive aggregated sensor data, display detailed diagnostic reports with vital signs and trends to the user, integrate with electronic health data systems, and issue alerts in case of abnormal readings; a wireless communication module connected to the microcontroller unit, configured to transmit the aggregated sensor data to the cloud platform; a display interface configured to show real-time feedback from the probes, including vitality assessments and sensor readings; and a main body containing the microcontroller unit, a rechargeable power supply and the display interface, wherein the rechargeable power supply can be charged via the current provided through a charging port on the main body, and wherein the main body is also equipped with on / off and start / stop switches; the device is configured to provide a non-invasive, quantitative real-time analysis of dental pulp health by combining physiological responses from thermal, electrical, and optical measurements.

A semiconductor package includes a substrate including a die pad, first and second discrete transistor dies mounted on the die pad, an encapsulant body that encapsulates the first and second discrete transistor dies, and a plurality of leads that are exposed from the encapsulant body, wherein the first and second discrete transistor dies are connected in parallel with one another by electrical interconnections that electrically connect common terminals of the first and second discrete transistor dies to one of the leads, and wherein at least one of the electrical interconnections has a balanced configuration that provides substantially identical electrical impedance as between the common terminals of the first and second discrete transistor dies and the lead to which they are connected.

The invention relates to the technical field of micro-fluidic biological detection, and discloses a micro-fluidic chip for rapidly detecting bacteria based on multi-mode detection, a preparation method and a detection method.The chip comprises a PDMS runner layer and a glass substrate layer which are sequentially arranged from top to bottom; the PDMS flow channel layer comprises an injection area used for receiving a to-be-detected sample and carrying out pretreatment; the focusing area is used for realizing three-dimensional fluid focusing of the detected particles through a coupling effect of viscoelasticity and an inertial effect; the detection area is used for performing electrical impedance detection and fluorescence detection on the focused particles; the outflow area is used for collecting and outputting the detected sample; the PDMS flow channel layer and the glass substrate layer are bonded through oxygen plasma to form a sealed channel structure, and the sealed channel structure is used for realizing electrical impedance and fluorescence dual-mode synchronous detection of microbial particles in a single flow channel. By optimizing the fluid focusing structure and the electrode design, high-precision synchronous detection of the microbial particles is realized.

The invention provides an ultrasonic scalpel amplitude-change pole design method and system based on composite structure optimization. The method comprises the steps that a performance target parameter set set during system initialization is received; dividing the amplitude-change pole into an input section, a middle transition section and an output section to construct a structure design model, and reversely optimizing the structure design model through a performance prediction module to generate a corresponding parameter set; sLM process parameters are collected, the parameter set is combined to be input into a pre-constructed error prediction module, and manufacturing error prediction is generated; real-time amplitude-change pole performance data are collected and combined, the manufacturing error prediction and the performance offset are combined, an individual final performance value is generated through Bayesian weighted fusion, and an individual performance label of each individual amplitude-change pole is constructed; the tissue electrical impedance, the cutter head temperature and the ultrasonic echo signal are collected in real time in the operation, the driving voltage of the transducer is dynamically adjusted by combining the individual performance label, and closed-loop control over the amplitude is carried out. According to the invention, a safer and more intelligent energy output scheme is provided for a high-complexity operation scene.

The invention discloses a piezoelectric driving micro-nano scratching instrument, and belongs to the technical field of material mechanical property detection. The scratch tester comprises a piezoelectric driving system, a multi-mode detection system and a control and data processing system. The core is that the piezoelectric driving system is completely driven by piezoelectric elements, and a displacement table adopts a clamping type stepping mechanism based on a flexible hinge, so that the combination of nanoscale motion precision and large stroke is realized; the multi-mode detection system innovatively integrates an electrical impedance detection loop composed of a conductive pressure head and a sample, can sensitively capture microscopic damage and failure behaviors of a material in the scratching process, and carries out synchronous fusion analysis with signals of a force sensor and a displacement sensor. According to the invention, the defects of insufficient precision and single detection means of the traditional scratch tester are overcome, and the accuracy and reliability of detecting the interface bonding strength and other mechanical properties of materials such as films and coatings are remarkably improved.

The invention relates to a microfluidic component used for electrical impedance measurement through a biological object (O), said microfluidic component comprising: A support in which is made a main microfluidic channel (C_1) defining a path for the circulation of a fluid containing the biological object (O), A trapping device positioned in the main microfluidic channel (C_1) on the circulation path of said biological object, At least one first electrode and a second electrode intended to be each set at a distinct electrical potential, in order to perform said impedance measurement, Said trapping device being composed of at least one first central pillar (P_1) and a second central pillar (P_2) positioned inside the microfluidic channel, The first central pillar being configured to form the first electrode and the second central pillar being configured to form the second electrode.Figure to be published with the abbreviation: Figure 2.

The present invention provides an automated analyzer including a reaction cell that accommodates a specimen, an ultrasonic transducer that irradiates the specimen inside the reaction cell with ultrasonic waves, and a control device that controls the ultrasonic transducer. The control device measures electrical impedance while changing over time a drive frequency, which is the frequency of voltage applied to the ultrasonic transducer, and diagnoses the state of the ultrasonic transducer or the reaction cell on the basis of time-series data of the electrical impedance. The control device records, for example, correlation data in which sequentially acquired measurement values of the electrical impedance are associated with measurement time and the drive frequency that are related to the measurement values, and generates a measurement value of the electrical impedance with respect to a time axis as the time-series data.

The application discloses a capacitor degradation state control method, device, medium and product, and the method is: obtaining the running state data, the first response signal and the first transient voltage recovery sequence of a graphene coating capacitor, and analyzing to obtain the electrical impedance spectrum characteristics and the transient recovery characteristics; matching the analysis results in the preset degradation characteristic library to obtain a degradation matching set; if the set meets the preset degradation condition, compensating the first response signal and the first transient voltage recovery sequence by using the obtained external environment data, and determining the degradation state data based on the second response signal and the second transient voltage recovery sequence obtained after compensation; and determining the target running control parameter of the graphene coating capacitor based on the degradation state data to control its safe operation in the degradation state. The application can accurately identify the degradation defects of the graphene coating capacitor and control its degradation state accordingly, so that the risk of capacitor out-of-control caused by the degradation defects can be overcome.

Described herein are sensing cannula systems that include a surgical instrument, a detection unit, and a conductive pad having a reference electrode and configured to be placed on the patient at a location outside the patient's body. The surgical instrument can include a cannula (such as a fat grafting cannula) having an electrically conductive distal tip and electrical insulation covering the cannula proximally from the distal tip, wherein the distal tip comprises a first electrode. The detection unit can include electrical circuitry that is electrically coupled to the surgical instrument and the conductive pad and operable to measure an electrical impedance between the first electrode and the reference electrode to determine what type of tissue the distal tip is in.

The present application relates to a kind of fusion lung ventilation spatiotemporal feature acquisition method, on the basis of establishing three-dimensional electrical impedance image, carry out the visualization research of lung dynamic ventilation condition, fusion evaluation lung ventilation time and spatial heterogeneity, for dynamic respiratory process, the activity of each three-dimensional electrical impedance image will be obtained in time sequence arrangement and obtain three-dimensional electrical impedance activity curve, extract fusion lung ventilation spatiotemporal feature from three-dimensional electrical impedance activity curve for lung function assessment.Can realize long-term continuous dynamic monitoring;First use three-dimensional EIT to carry out lung function research, can be dynamically observed to whole lung ventilation, fusion evaluation lung ventilation time and spatial heterogeneity, convert into three-dimensional electrical impedance activity curve, it is beneficial to clinical auxiliary diagnosis and local lung function characterization.

The application discloses a multi-height position correction method and system based on cell electric impedance measurement, and the correction method comprises the following steps: 1) acquiring an electric impedance signal by adopting a double-difference seven-electrode structure, and performing Gaussian filtering processing on the real part of the electric impedance signal; 2) obtaining characteristic points generated under different heights according to a function of finding extreme values, wherein the characteristic points are extreme points; 3) judging whether the characteristic points are'saddle' type waves according to the number of the characteristic points, and calculating a correction factor; and 4) after judging whether the characteristic points are'saddle' type waves, obtaining the correction factor of the waveform under different heights, and performing scaling on the waveform data under different heights according to a standard factor and the correction factor corresponding to the height, so as to obtain a corrected full-wave image. On the basis of the seven-electrode double-difference, the full-wave correction is performed, so that the seven-electrode double-difference is not only limited to low flow channels, but also can be applied to high flow channels, and the flux is improved.

An optically transparent electromagnetic shielding assembly exhibiting a shielding efficiency that is increased when a conducting or polarizable fluid produces a low electrical impedance value between a periphery and a central region of a window. Such shielding assembly is useful in detection systems that are exposed to varying intensities of electromagnetic radiation, such as microwave radiation.

Method for producing a stack of solid oxide cells (SOxC), namely a stack of solid oxide fuel cells (SOFC) or of solid oxide electrolyzer cells (SOEC), in which at least two SOxC are arranged one above the other and joined together to form the stack using a bonding agent, such as a glass solder, in a multi-phase joining and conditioning process, during which the arrangement consisting of the at least two SOxC is exposed to at least different temperatures, characterized in that the joining and conditioning process, avoiding a rigid temporal sequence, takes place at least partially as an impedance-controlled process.by monitoring the electrical impedance profile during this process and controlling the sequence of the joining and conditioning phases, which differ at least in their temperature profiles, based on measurements obtained from repeated electrical impedance measurements.

The invention relates to a magnetic inductive flowmeter (1) comprising: - a measuring conduit (8) for conducting a medium, wherein the measuring conduit (8) comprises an electrically insulating measuring conduit body (32), - a device (5) for generating a magnetic field, which penetrates the measuring conduit body; - a device (9) for detecting an induced voltage, which is related to a flow rate; - a reference electrode (33); - an electrode assembly (34) for detecting a damage of the measuring conduit body (32), wherein the electrode assembly (43) is electrically insulated from the reference electrode (33) and / or the medium by the measuring conduit body (32); - a measuring circuit (11) configured to measure a variable related to an electrical impedance between the electrode assembly (34) and the reference electrode (33).

The invention discloses a cable defect parameter estimation method, system and device based on electrical impedance and particle swarm optimization and a storage medium. The method comprises the steps that a test platform is built, and a measurement error of an impedance measurement instrument in the test platform is corrected; the head end of the coaxial cable to be measured is connected to an impedance measuring instrument, a proper frequency band is selected as the working frequency band of the impedance measuring instrument for measurement, and the actually measured impedance spectrum of the impedance measuring instrument is transmitted to an upper computer; calculating the electrical impedance of the head end of the cable, and constructing a defective cable parameter inversion optimization model according to the electrical impedance and the actually measured impedance spectrum; and performing particle swarm optimization multi-parameter synchronous inversion on the defective cable parameter inversion optimization model to obtain the defect position, the defect length and the relative dielectric constant of the defect position of the cable. According to the method, the limitation that a traditional time domain / frequency domain reflection method can only position defects is broken through, multi-parameter comprehensive estimation is achieved, the requirements for the measurement frequency band range and the scanning point number are low, and instrument cost and measurement time are reduced.

Examples relate to a method comprising using a non-target tissue model to virtually purify an experimental electrical impedance signal with respect to target tissue. A method comprisingobtain a purifying impedance transfer function based on an electrical impedance model with one or more non-target tissue components and without a target tissue component; andpurifying an experimental electrical impedance signal using the purifying impedance transfer function to obtain a virtually purified signal for the target tissue component. A method comprising: in dependence upon age and / or a measure of obesity, access an impedance transfer function dependent upon non-tumor tissue; modify an experimental electrical impedance signal using the obtained impedance transfer function to obtain a signal less dependent upon non-tumor tissue and more dependent upon tumor tissue impedance.

The invention relates to a microfluidic component used for electrical impedance measurement through a biological object (O), said microfluidic component comprising: - A support in which is made a main microfluidic channel (C_1) defining a path for the circulation of a fluid containing the biological object (O), - A trapping device positioned in the main microfluidic channel (C_1) on the circulation path of said biological object, - At least one first electrode and a second electrode intended to be each brought to a distinct electrical potential, in order to perform said impedance measurement, - Said trapping device being composed of at least one first central pillar (P_1) and a second central pillar (P_2) positioned inside the microfluidic channel, - The first central pillar being configured to form the first electrode and the second central pillar being configured to form the second electrode.

Various embodiments disclose system for determining electrical properties of tissue samples, the system comprising a tissue measurement tool comprising at least two electrodes that measure, while operating at a frequency, a set of electrical properties corresponding to a section of tissue, and a decoupling device connected to the at least two electrodes, and a classification module that computes, based on the set of electrical properties, at least an electrical impedance of the section of tissue.

The invention relates to the field of suffocation risk early warning, in particular to a breathing monitoring and suffocation early warning system for bedridden patients based on a flexible electrode array. The system divides a plurality of breathing cycles according to changes of global impedance values of electrical impedance images in the breathing process of a patient in time sequence, obtains the interference degree of each breathing cycle, and obtains the interference degree of each breathing cycle according to distribution of impedance values of the same pixel point positions of all the electrical impedance images in the breathing cycles. The method comprises the following steps: acquiring the respiratory efficiency of each respiratory cycle at each pixel point position, clustering the respiratory cycles, obtaining the respiratory efficiency difference degree of a cluster at each pixel point position, analyzing the change of the respiratory efficiency difference degree of each pixel point position in the same direction, and combining the interference degree of the respiratory cycles to obtain the respiratory efficiency of each pixel point position. And obtaining the suffocation risk weight at each pixel point position in each respiratory cycle, and adjusting the impedance value of each pixel point in the electrical impedance image to realize suffocation risk early warning. The accuracy of patient suffocation risk early warning can be improved.

The application discloses a head space positioning device and method based on capacitive coupling resistance impedance disturbance imaging. The device comprises a flexible electrode belt, a positioning pen, a data acquisition system and an imaging tracking system. The flexible electrode belt is a multi-layer structure, and has an array type flexible electrode in the inside, so that non-contact resistance impedance measurement is realized in a capacitive coupling mode; the positioning pen touches the scalp and emits an alternating current disturbance signal, so that position marking is realized; the data acquisition system controls the whole measurement and positioning process, and collects resistance impedance data used for disturbance imaging; and the imaging tracking system is used for disturbance imaging and touch point tracking display. The method comprises the following steps: wearing the flexible electrode belt and registering a coordinate system; marking a position on the scalp by using the positioning pen; collecting disturbance resistance impedance data; and performing disturbance imaging, calculating a three-dimensional coordinate of a touch point and displaying. The application has the advantages of simple structure, real-time and rapid response, pixel level positioning precision, and suitability for neurosurgical operation navigation, precise EEG electrode / transcranial electrical stimulation target point pasting and the like.

The invention provides a tumor identification method based on multi-modal information cooperation, and relates to the technical field of tumor identification. The method comprises the following steps: firstly, constructing a multi-modal cooperative characterization unit, synchronously receiving medical image and electrical impedance time sequence data, cooperatively mining macroscopic morphological association features and microscopic difference features of a tumor by using a multi-domain coupling characterization space technology, and outputting a multi-modal cooperative feature vector; then, an electrical impedance time sequence analysis unit is built, electrical impedance signal deep correlation features are extracted through time sequence feature multi-order analysis, and electrical impedance deep feature vectors are output; then designing a dynamic feature adaptation fusion unit, performing adaptive fusion and dimension recombination on the multi-modal collaborative feature vector and the electrical impedance deep feature vector based on a feature responsivity adaptation technology, and outputting a stabilized fusion feature vector; and finally, constructing a feature correlation judgment engine, quantifying the feature contribution degree based on a structural causal model and a multi-layer correlation verification technology, and outputting a tumor diagnosis result. The problems of insufficient multi-modal feature collaboration and explanatory deviation caused by black box mapping in the prior art are effectively solved, and the accuracy and logic robustness of tumor recognition are improved.

The application discloses a longitudinal-bending coupling adaptive livestock and poultry meat ultrasonic cutting system and method based on acoustic black hole effect, and belongs to the technical field of food processing machinery equipment. The ultrasonic cutter head of the cutting unit has an energy focusing transition section; a cooling flow channel is arranged in the ultrasonic cutter head; a tissue recognition module is used for determining the type of livestock and poultry meat tissue to be cut; a piezoelectric sensor is used for detecting the electrical impedance signal of the piezoelectric transducer in real time; an adaptive control module is internally provided with an impedance reference parameter library, the parameter library stores target impedance values corresponding to different livestock and poultry meat tissue types; the adaptive control module receives the tissue type information; according to the tissue type information, the corresponding target impedance value is called from the impedance reference parameter library; the working frequency of the ultrasonic wave generator is dynamically adjusted; the application can adaptively adjust the output according to the change of the tissue type in livestock and poultry meat cutting, and can effectively control the thermal damage while improving the cutting efficiency.

The invention discloses an electrical impedance-based high-pressure injector intravenous injection leakage detection alarm device, which comprises a measuring electrode band, a high-pressure injector and a detection alarm device, and is characterized in that the measuring electrode band comprises a flexible ring band, a measuring electrode and a data line, and the detection alarm device is integrated with a power supply module, a data processing module and an alarm module. The device has the beneficial effects that the device is small in cell damage, low in price, high in usability, safe, reliable and small in size, and can be integrated in a high-pressure injector to be used in linkage with the high-pressure injector; high-pressure injection liquid leakage electrical impedance data and normal data are learned in advance through a trained improved support vector regression model prediction algorithm model, and an alarm threshold point is predicted, so that the accuracy of an alarm threshold can be effectively improved, injection liquid leakage of a high-pressure injector can be well detected, an alarm can be automatically given, and injection operation can be stopped. Various complications and sequelae caused by liquid leakage can be well prevented, and double guarantees are provided for patients and hospitals.

The present application relates to geophysical exploration and geotechnical engineering monitoring technical field, specifically is soil seepage channel resistivity or electrical impedance dual-mode tomography measuring device. Including excitation signal adjustment module, data acquisition module, channel switching module, sensing electrode module, and computer;The excitation signal adjustment module is composed of signal generation module and isolation switch QS;The data acquisition module is composed of power analysis module, multichannel synchronous acquisition module, signal adjustment module, and lock-in amplification module;The channel switching module is composed of relay switch module A and relay switch module B;Each relay has multiple channels, and each channel contains three general ports, namely normally open end (NO), common end (COM), and normally closed end (NC). The present application provides a kind of resistivity or electrical impedance dual-mode tomography measuring device to realize the fast high-resolution detection of soil seepage channel of resistivity and electrical impedance combination.

The application discloses a pixel circuit suitable for a micro-fluidic chip adopting an active pixel array, comprising: an input end configured to input a voltage to a receiving end; the receiving end is electrically connected with a pixel electrode and outputs a voltage; a control end configured as a first TFT switch for controlling the electrical connection between the input end and the output end. The application can detect the electrical impedance of each pixel in the AM array micro-fluidic chip, and the detection scale is larger than that of the traditional PM chip, and the application is more practical; through the electrical impedance detection of the pixel, the application can distinguish the types of the droplets on the pixel electrode, and further realizes the detection of the position and moving state of the droplets in the micro-fluidic chip.

The invention provides a living single cell multi-modal in-situ detection analysis method and a treatment scheme evaluation optimization method, and relates to the technical field of precision medical treatment, and the method comprises the following steps: obtaining multi-modal data of a living single cell to be detected in situ; the multi-modal data comprises at least two of the following data: electrical impedance data of a living single cell to be detected under a plurality of frequencies, Raman spectrum data of the living single cell to be detected, and image data of the living single cell to be detected; the frequency is the frequency of an alternating current signal applied to the cell through the electrode; extracting multi-modal dynamic characteristics of the living single cell to be detected from the multi-modal data by adopting a combined modal data analysis method; wherein the combined modal data analysis method comprises a cell electrophysiological analysis method, a cell multi-molecular spectroscopy analysis method and a cell image analysis method. Therefore, the multi-modal dynamic measurement method is utilized to obtain multiple groups of dynamic characteristic information of the cells, and accurate treatment effect evaluation and process optimization can be realized.

Disclosed herein are medical device systems and methods thereof for automatic detection of entry into a medullary cavity. Embodiments include an intraosseous access system having a sensing obturator configured to detect a change in a modality at its distal tip, such as pressure, oxygen saturation, electrical impedance, etc. The signal can be transmitted to control logic that can responsively modify activation of the driver. The signal can be transmitted by way of wired or wireless communication. In embodiments, the signal can be transmitted through a conductive polymeric material that forms the obturator and allows the obturator to be sufficiently flexible to mitigate accidental needle stick injuries.