178 results about "Electrical impedance" patented technology

The invention relates to the technical field of connector layout optimization, and discloses a high-density four-row connector layout intelligent optimization method. The method comprises the steps that design parameters of four rows of connectors on the high-density circuit board are collected, the design parameters comprise connector position coordinates, the number of pins and electrical impedance values, and related environment data comprise temperature distribution, electromagnetic interference intensity and vibration frequency; performing standardized alignment processing on the design parameters and the environment data to form a layout data set with unified dimensions; the layout optimization model is used for processing the layout data set, an initial layout scheme is generated, and the initial layout scheme comprises connector arrangement sequence and position adjustment suggestions; monitoring change data of the working state of the circuit board in real time, wherein the change data comprise current fluctuation and heat distribution updating; and identifying a layout abnormal condition based on the change data, performing iterative correction on the initial layout scheme according to the layout abnormal condition, and outputting a final optimized layout scheme. The method can dynamically adapt to the working state of the equipment and improve the layout rationality.

The invention provides a high-bandwidth working condition simulation test method and system based on virtual impedance control, and the method comprises the steps: building virtual impedance through an electrical impedance model and a digital low-pass filter or a target working condition model; the control bandwidth of the working condition simulation system can be obviously improved under the conditions that a differential operator is not directly used, control parameters are not improved and the stability margin is not sacrificed; meanwhile, the high-bandwidth working condition simulation test system still comprises a closed-loop control structure, so that the voltage stress and the current stress of the converter to be tested can be simulated more accurately. In addition, the simulation converter is adopted to reproduce the voltage and current stress of the converter to be tested; a current-mode / voltage-mode impedance network is adopted to suppress differential-mode current / voltage ripples and differential-mode current / current harmonics; a ripple passive suppression module and a ripple active suppression module are adopted to suppress common-mode current ripples, and the size and the cost of the ripple passive suppression module are reduced.

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 balanced armature receiver is disclosed including a multicoil motor located in a housing and comprising a movable armature connected to a diaphragm separating an interior of the housing into front and back volumes. The multicoil motor is electrically connected to contacts of a terminal board having an integrated capacitor component, wherein electrical connections of the multicoil motor and the capacitor component to the terminal board are configured to change an electrical impedance of the balanced armature receiver based on a frequency of an electrical signal applied to the multicoil motor.

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 belongs to the technical field of intelligent moisture control of filter press filter plates and filter cakes, and relates to an intelligent moisture control method of a filter press filter plate and a filter cake integrated with a high-voltage-resistant electrode array. The method comprises the following steps: embedding a high-voltage-resistant electrode array into the surface of a filter plate, and detecting an electrical impedance parameter of each region in a filter cake forming process in real time; reconstructing water distribution in the filter cake in real time and generating a dynamic image by using the electrical impedance data of the plurality of groups of electrode pairs; meanwhile, establishing a mathematical model between the electrical impedance and the water content of the filter cake to obtain the real-time water content of the filter cake; and according to the moisture distribution image and the moisture content data, dynamically adjusting the parameters of the filter press through a closed-loop feedback system to realize accurate control of the moisture content of the filter cake.

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 present invention relates to a method and an exhaust gas sensor for determining a corrected nitrogen oxide content in the exhaust gas of an internal combustion engine. The exhaust gas sensor (10) comprises a main body (12), a measuring cavity (40) arranged in the main body (12), in which a measuring electrode (44) is arranged, an exhaust gas electrode (22) exposed to the exhaust gas, which forms an amperometric measuring cell with the measuring electrode (44), and a reference cavity (50) connected to the ambient air, in which a reference electrode (52) is arranged.The method according to the invention comprises applying a measuring current (IP2) to the measuring electrode (44) such that a measuring voltage (V2) developing between the measuring electrode (44) and the reference electrode (52) is maintained at a predetermined first setpoint value, determining a nitrogen oxide content at least partially on the basis of the measuring current (IP2) applied to the measuring electrode (44), determining the electrical impedance of the amperometric measuring cell and determining a corrected nitrogen oxide content at least partially on the basis of the determined nitrogen oxide content and at least partially on the basis of the determined electrical impedance of the amperometric measuring cell.

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.

A modular waterproof therapeutic electrode component for preventing water ingress and for easy servicing. The component comprises a substrate comprising a conductive surface, a reservoir of conductive fluid mounted on the substrate, a reusable waterproof enclosure comprising circuitry, the reusable waterproof enclosure comprising circuitry configured to be removably coupled to the substrate, and a fluid deployment device in electrical communication with the circuitry and mounted on the substrate, the fluid deployment device configured to cause the reservoir to release the conductive fluid onto the conductive surface to reduce electrical impedance between the conductive surface and skin of a subject.

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.

An ear-worn hearing device including a balanced armature receiver is disclosed. A diaphragm separates an interior of the receiver housing into front and back volumes, a multicoil motor located in the housing is electrically connected to contacts of a terminal board integrated with the hearing device, wherein electrical connections of the multicoil motor and a capacitor component integrated with the terminal board are configured to change an electrical impedance of the balanced armature receiver based on a frequency of an electrical signal applied to the multicoil motor. The hearing device can be configured as an in-the-ear (ITE) hearing device among others.

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 invention provides a performance parameter detection method and device of an acoustic wave motor and electronic equipment. The method comprises the following steps: acquiring a mechanical vibration model and an electrical impedance model of the acoustic wave motor; according to the mechanical vibration model and the electrical impedance model, obtaining mapping data representing a mapping relationship between electrical parameters and performance parameters of the acoustic motor; the sound wave motor is driven by a preset signal, and a voltage signal and a current signal at the two ends of the sound wave motor are obtained; determining electrical parameters of the acoustic motor according to the voltage signal and the current signal; and detecting performance parameters of the acoustic motor according to the electrical parameters and the mapping data.

A medical device and method of using the medical device include the following: (a) a device capable of generating a sinusoidal voltage at a fixed initial frequency for a specified time followed by a logarithmic sweep between that initial frequency and a final frequency in a total time of 0.5 seconds; and (b) one or several live microelectrodes and one ground electrode, all of them electrically separated by electrically insulating regions; (c) a strategy to obtain the experimental electrical resistance and capacitance values as a function of the excitation frequency of the sweep mentioned in a); and (d) an artificial intelligence, machine learning, linear discriminant analysis method to determine whether the patient has an ocular pathology or not based on the measurement of the electrical resistance and capacitance as a function of frequency in 0.5 seconds.

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.

A bolometer may include a sensitive layer configured to provide two distinct electrical impedance states at a temperature above 200K. Electrical impedance state 1 and electrical impedance state 2 may be separated by an energy barrier that is between 5% and 3000% of the average thermal energy in the sensitive layer. Incident infrared electromagnetic radiation is converted into heat, resulting in a change in the sensitive layer from electrical impedance state 1 to electrical impedance state 2. The continued absorption of incident electromagnetic radiation may cause a discrete series of changes in the bolometer response from electrical impedance state 1 to electrical impedance state 2.

The embodiment of the invention provides an electrical impedance function imaging monitoring system and method for muscle rehabilitation training. The method comprises the steps that real-time electrical impedance data in the muscle rehabilitation training process are collected; calculating a muscle fatigue state index based on the acquired electrical impedance data; determining a dynamic monitoring frequency adjustment parameter based on the change trend of the muscle fatigue state index; and regulating and controlling the monitoring frequency by using the dynamic monitoring frequency regulation parameter, and carrying out continuous electrical impedance function imaging monitoring. Through the scheme of the embodiment of the invention, the problem of how to dynamically regulate and control the monitoring frequency according to the change of the muscle fatigue state so as to solve the problem of coexistence of data redundancy and omission in long-term monitoring can be solved.

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.