102 results about "Impedance sensor" patented technology

The invention discloses a sensor array acquisition system for detecting gas, and relates to the field of gas sensors. The sensor array acquisition system for detecting gas comprises a gas sensor array, a signal conditioning circuit, an analog-to-digital conversion module, a control module and a power supply module. According to the sensor array acquisition system for detecting the gas, the voltage follower circuit with high input impedance is adopted, so that the problem of attenuation during signal acquisition of a high-impedance sensor is effectively solved, and the signal acquisition precision is improved. Through the adjustable direct-current bias circuit and the differential amplification circuit, the dynamic adjustment of the measurement range is realized, the gas detection requirements of different concentration ranges can be met, and hardware does not need to be replaced. A constant-current driving chip is adopted to control a sensor heating circuit, heating current can be accurately set by adjusting external resistance, it is ensured that the sensor works at the optimal temperature, and the stability and response speed of the sensor are improved.

The invention relates to the technical field of aging test, in particular to a multi-factor coupling accelerated aging test system, which has the technical scheme that actual working condition fluctuation is simulated through multi-factor coupling accelerated aging, multiple parameters such as temperature, humidity, illumination, mechanical stress and chemical media are controlled at the same time, dynamic cyclic change is realized, simplification of simulation influence factors is avoided, and the test efficiency is improved. The deviation to a real environment is reduced; a miniature temperature sensor, a strain sensor and an electrochemical impedance sensor are integrated on the surface of the sample, so that nondestructive continuous acquisition of performance parameters in the aging process is realized; a central control module is used for artificial intelligence life prediction, an aging model is dynamically corrected by using a machine learning algorithm based on real-time collected data and a historical database, residual life probability prediction is realized, and prediction precision is improved according to an AI dynamic correction model.

An electronic device may include a transmitter coupled to an antenna over a signal path that runs through a front end module. The front end module may include a power amplifier disposed on the signal path. The front end module may include first, second, and / or third signal attenuators disposed on the signal path between an input of the amplifier and the transmitter. The front end module may include a voltage sensor that measures a bias voltage of the amplifier, a temperature that measures a temperature of the amplifier, and / or an impedance sensor that measures an impedance of the antenna. The first signal attenuator may be adjusted based on the measured bias voltage, the second signal attenuator may be adjusted based on the measured temperature, and the third signal attenuator may be adjusted based on the measured impedance to mitigate changes in the amplifier as operating conditions change over time.

The invention discloses a no-load state monitoring method and system for an aircraft power supply system, and relates to the technical field of electrical parameter measurement and aircraft power supply system monitoring. Initializing a monitoring system, calibrating a voltage sensor, a current sensor, a frequency sensor and an impedance sensor, setting a no-load state judgment threshold system, and importing historical no-load data as a comparison reference; no-load voltage, current, frequency and impedance signals are synchronously acquired through sampling frequency of the sensor group, and the signals are transmitted to the data processing unit through the shielding cable; median filtering and low-pass filtering are adopted to remove noise interference, normalization processing is carried out on the signals, and basic electrical parameters are calculated; calculating core characteristic values of the voltage stability, the frequency fluctuation coefficient, the impedance stability and the harmonic distortion rate; comparing the characteristic value with a preset threshold value, judging whether the state is normal or not by combining historical data, and identifying an abnormal type; and outputting a judgment result in real time, and starting acousto-optic early warning in case of abnormality. Abnormal traceability and trend prediction are realized, and safe and stable operation of an aircraft power supply system is guaranteed.

The invention discloses an intelligent contrast agent exosmosis prevention monitoring device, and relates to the technical field of medical instruments, in particular to an intelligent contrast agent exosmosis prevention monitoring device which comprises a flexible substrate. A biological impedance sensor, a temperature sensor and a micro pressure sensor are integrated on the flexible substrate and used for monitoring tissue impedance, skin temperature and tissue pressure changes of an injection part in real time in a multi-parameter mode. The device is internally provided with a signal conditioning circuit for processing sensor signals, and data are sent to the high-pressure injector through the wireless communication module. According to the method, the risk of exosmosis of the contrast agent can be recognized in an early stage through multi-parameter fusion analysis, and the instruction is automatically sent to the high-pressure injector to adjust or stop injection when the risk is abnormal, so that closed-loop feedback from monitoring to control is realized, and the injection safety is effectively improved.

The invention relates to the technical field of health monitoring equipment, in particular to a high-precision multi-dimensional health monitoring body fat scale which comprises a pressure sensor used for accurately measuring the weight of a user; the bioelectrical impedance sensor is used for measuring electrical impedance values of different parts of the human body; the millimeter-wave radar module integrates a millimeter-wave radar transmitter and a millimeter-wave radar receiver and is used for monitoring the heart rate and the respiratory rate of the user in a non-contact manner; the main control chip is used for receiving signals transmitted by the pressure sensor, the bioelectrical impedance sensor and the millimeter-wave radar module, operating an improved BIA algorithm, a millimeter-wave radar signal processing algorithm and a multi-sensor data fusion algorithm, and processing and analyzing health data; the display module is used for displaying body weight, body fat rate, heart rate, respiratory rate and other health data; and the power supply module provides a stable power supply for each component. The body fat scale solves the technical problems that an existing body fat scale is insufficient in measurement precision and stability, and multi-dimensional data monitoring is limited.

The invention relates to the technical field of medical monitoring equipment, in particular to an intelligent drainage monitoring system and method after a hepatotomy based on multi-modal sensing, and the system comprises a sensing data collection module, a signal processing module, a data fusion analysis module and an abnormity recognition early warning module. The sensing data acquisition module comprehensively acquires pressure, component and diffusion state data of drainage liquid by utilizing an optical fiber pressure sensor array, a micro spectral analysis device and a biological impedance sensor, the signal processing module converts sensing data into digital signals, and the data fusion analysis module performs fusion analysis on the drainage liquid based on the signals. According to the system, the content of bilirubin and hemoglobin in drainage liquid and the diffusion state of the bilirubin and hemoglobin in the abdominal cavity are recognized and comprehensively analyzed, the abnormity recognition and early warning module compares an analysis result with a preset normal index, the abnormal condition is determined, an early warning signal is generated, the intelligence and accuracy of drainage management are effectively improved, and the working efficiency is improved. Postoperative complications can be reduced, and the rehabilitation quality of a patient can be improved.

The invention discloses a meat freshness rapid detection and prediction method based on laser-induced graphene. The method comprises the following steps: firstly, preparing a laser-induced graphene impedance sensor with a porous structure on a polyimide film through laser processing; then acquiring impedance spectrum data of a meat sample in a wide frequency range by using the sensor, extracting a phase angle and an impedance amplitude as characteristic data, and constructing a training set by combining a volatile basic nitrogen measured value; a neural network model is further constructed and trained, and accurate detection from impedance features to TVB-N values is achieved; meanwhile, a dynamic prediction model with environmental specificity is established, prediction of the TVB-N change trend and freshness grade judgment in the future are supported, the laser-induced graphene impedance sensor is combined with the electrochemical impedance spectroscopy technology, and detection and prediction of the TVB-N value of the meat sample can be completed within a few minutes.

The invention relates to the technical field of medical instruments and clinical nursing, in particular to a radial artery puncture navigation system based on multi-modal sensing and digital projection, which comprises the following steps: a multi-modal blood vessel signal acquisition module, which is used for acquiring a blood vessel pulsation signal on the wrist of a patient through a photoplethysmography sensor array, the strongest pulsation line is positioned through the pressure sensor array, and the blood vessel depth and artery and vein distinguishing information are obtained through the bioelectrical impedance sensor array. According to the invention, through multi-modal blood vessel signal acquisition, blood vessel dynamic deformation modeling, personalized digital twinning construction and dynamic updating, projection path generation and control, and projection output and real-time error compensation, real-time visual projection of a blood vessel center line and local deformation is realized; therefore, the problem that puncture positioning is not accurate due to the fact that dynamic changes of blood vessels cannot be accurately reflected due to the fact that most traditional radial artery puncture adopts a hand feeling positioning method is solved.

The invention belongs to the field of aircraft icing detection, and particularly relates to an icing detector based on impedance and pressure. According to the invention, by designing the detection instrument with reasonable design, the problem that the existing aircraft icing detector has a single function and cannot meet the latest icing detection requirement is solved. According to the invention, the impedance sensor, the pressure sensor and the temperature sensor are integrated on the spherical structure, and the icing environment is comprehensively analyzed through the sensors, so that the icing detector has the functions of icing detection, subcooled small water drops and subcooled large water drops distinguishing and ice crystal identification.

A method of alignment and fusion of cells with an electrical field includes firing a first fluid dispenser of an electrofusion device until a first impedance sensor in a first microfluidic channel of the electrofusion device detects a presence of a first cell. The method includes firing a second fluid dispenser of the electrofusion device until a second impedance sensor in a second microfluidic channel of the electrofusion device detects a presence of a second cell. The method includes moving the first cell and the second cell into a merging chamber of the electrofusion device by firing a third fluid dispenser of the electrofusion device, in response to alignment of the first cell in the first microfluidic channel with the second cell in the second microfluidic channel. The method further includes fusing the first cell and the second cell in the merging chamber by creating an electrical field in the merging chamber.

The utility model discloses intelligent respiratory muscle rehabilitation training equipment. The device comprises a device box body, a breathing garment, an air bag, an inflation catheter, an electrode plate and a finger stall, a power switch, an inflation tube jack, a display screen, a signal jack, a power jack and a ventilation opening are arranged outside the host case, a heart rate photoelectric sensor is arranged in the heart rate signal electrode slice, an impedance sensor is arranged in the respiration signal electrode slice, and a photoelectric receptor and a light-emitting diode are arranged in the finger stall; an electric air pump, a microcontroller box, a battery, a battery management system, a built-in electric wire and a built-in gas transmission pipe are arranged in the main machine case, the upper portion of the breathing clothes is chest breathing clothes, the lower portion of the breathing clothes is abdomen breathing clothes, and a chest air bag and an abdomen air bag are arranged in the chest breathing clothes and the abdomen breathing clothes respectively. The chest breathing clothes and the abdomen breathing clothes are connected through an elastic band. The respiratory muscle rehabilitation training device is used for respiratory muscle rehabilitation training, respiratory muscle group training can be controlled in a segmented mode, and comprehensive rehabilitation training of respiratory muscle groups is achieved.

The application discloses an intelligent electronic otoscope control system and method based on electrical impedance detection, which contains an ear canal impedance signal collection unit, a weak signal conditioning unit, a multi-modal data processing unit, an intelligent analysis and decision unit, a man-machine interaction presentation unit and a closed-loop automatic control unit. A low-power multi-frequency impedance sensor array collects ear canal tissue impedance data at different frequencies, which is processed by the weak signal conditioning unit. The multi-modal data processing unit, combined with an edge computing gateway, completes analog-to-digital conversion and preliminary fusion. The intelligent analysis and decision unit uses an optimized impedance detection algorithm and a multi-dimensional heterogeneous data analysis model to deeply analyze the data, judges the ear health condition, and visualizes the results through the man-machine interaction presentation unit. The closed-loop automatic control unit realizes automatic adjustment of the detection process. The system and method can accurately detect ear health and improve the efficiency and accuracy of ear disease diagnosis.

This invention relates to a device and method for aspirating hemorrhage from the stomach. The device includes a guide tube with an axially arranged suction chamber and an auxiliary chamber. One end of the suction chamber is fitted with a plug that communicates with it. The plug has several microporous rings penetrating its inner and outer circumference. The other end of the suction chamber is connected to a negative pressure unit. The auxiliary chamber is axially arranged on the wall of the suction chamber. One end of the auxiliary chamber extends into the end of the suction chamber and is connected to an impedance sensor. The other end is connected to an auxiliary flushing unit. The negative pressure unit and the auxiliary flushing unit are also electrically connected to a control module. The control module is electrically connected to the impedance sensor and the microporous rings and is used to trigger pulsed expansion of the microporous rings based on the impedance signal from the impedance sensor. Through pulsed expansion of the microporous rings, combined with reverse flushing by the auxiliary flushing unit, the device of this invention can achieve dual unblocking through both expansion and flushing, improving operational continuity.

The application relates to the technical field of bolt pre-tightening force measurement, in particular to a bolt pre-tightening force self-sensing real-time monitoring method based on magnetostrictive effect, which comprises the following steps: the monitoring method is used for a data processing unit in a bolt pre-tightening force self-sensing real-time monitoring system based on magnetostrictive effect; the monitoring system further comprises a bolt, an energy collecting unit, an excitation unit and an impedance measuring unit; the monitoring method comprises the following steps: receiving impedance data sent by an impedance sensor in the impedance measuring unit; the impedance data is data obtained by the impedance sensor in the impedance measuring unit when the impedance sensor measures the impedance of a measuring coil under the action of an excitation signal; the excitation signal is output by the excitation unit to the measuring coil; inputting the impedance data into a first calculation model in the data processing unit to obtain a first bolt pre-tightening force at a first target time when the impedance data is collected.

The invention relates to the technical field of medical artificial intelligence, in particular to a uric acid level prediction method based on multi-source data fusion, and the method comprises the steps: carrying out the synchronous signal collection of a finger tip of a target user through a near-infrared hyperspectral collection device and a flexible microfluidic impedance sensor; obtaining a subcutaneous microvascular hyperspectral image sequence and an epidermal sweat electrochemical impedance spectrum; and performing Euler video amplification processing on the subcutaneous microvascular hyperspectral image sequence to obtain a blood flow micro-dynamic enhancement sequence. According to the method, a calculation and compensation mechanism for physiological response time lag is introduced, nonlinear time sequence alignment is carried out by further utilizing a dynamic time warping algorithm and taking the time lag as a constraint window when the global time lag is obtained, and compared with a traditional simple timestamp alignment method, it is guaranteed that actually-related physiologically features can be accurately matched, and the accuracy of time sequence alignment is improved. High-quality and synchronous input data is provided for subsequent feature fusion, and the logic leakproofness and accuracy of the whole prediction method are improved.

This invention is a coin detection system, comprising an eddy current sensor installed on a coin travel channel to emit magnetic field lines into the channel. When a coin passes through the magnetic field lines, a corresponding output signal is generated, and the system simultaneously senses changes in the magnetic field as the coin passes. The system includes an eddy current sensor control unit for controlling the operating frequency of the eddy current sensor according to control signals from a main control unit; a signal conditioning unit for conditioning the output signal of the eddy current sensor according to control signals from the main control unit; a digital signal conversion unit for converting the magnetic field changes sensed by the eddy current sensor into eddy current loss and inductance data; and a main control unit for determining the authenticity and face value of the coin based on the signals from the eddy current sensor and the eddy current loss and inductance data output by the digital signal conversion unit. This invention features self-regulating operation by controlling the eddy current sensor to operate at a range of suitable frequencies through the eddy current sensor control unit and the lift-off effect generated after the inductively coupled impedance sensor is controlled by the digital signal conversion unit. This eliminates the need for manual operation, providing significant convenience to the user.

The application discloses a sleep apnea detection method and system based on transcutaneous carbon dioxide monitoring, and belongs to the technical field of sleep apnea detection. The application integrates a miniaturized transcutaneous carbon dioxide detection module composed of a flexible optical sensor and a multi-channel PPG, a bioimpedance sensor and an accelerometer; a heating module is controlled by a PID algorithm to realize constant temperature, so that non-invasive transcutaneous carbon dioxide detection is ensured; a multi-sensor data fusion system is built to realize synchronous acquisition of physiological parameters; a low-power embedded processing unit is adopted to realize real-time processing and monitoring of physiological multi-modal data. The application also cooperates with a machine learning model and combines TcCO2 fluctuation, SpO2 drop rate and respiratory interval variability to realize real-time identification and early warning of sleep apnea events. The application realizes highly integrated and long-lasting continuous monitoring of respiratory health, and effectively improves the home screening capability of sleep breathing disorders.

Described herein are devices and methods for improved detection and quantitation of biomolecules. Devices and methods may include a microfluidic biosensing platform for measuring electrical impedance changes in the presence of target analytes from sinusoidal input voltages to improve the sensitivity of immunoassays. In one embodiment, the described devices and methods may provide a point-of-care immunoassay platform for quantitative diagnostics using signal-enhancing microparticles to improve sensitivity and the limit-of-detection.

The invention discloses an intelligent analysis method for the preservation state of a wooden structure based on laser-induced graphene. The method comprises the steps that firstly, the same wood standard part is prepared for a monitored object to be used for checking a sensor; secondly, designing an exclusive induction circuit pattern according to the type of a monitoring point, etching the induction circuit pattern on a wood standard part, and packaging the wood standard part into a graphene impedance sensor; further, the influence of temperature, stress and humidity changes on the impedance of the LIG induction circuit is collected on a wooden standard part, and the sensor is calibrated; and finally, intelligent analysis and early warning are realized through a dynamic data analyzer, and corresponding suggestions for protecting the wooden structure are given. By means of the method, chemical corrosion and physical damage to wood materials are avoided, real nondestructive monitoring is achieved, comprehensive monitoring of multiple stress states and storage states is synchronously achieved, multiple sensing elements do not need to be installed, and the limitation that a traditional technology is single in function is broken through.

A bio-processor, a bio-signal detecting system, and an operation method of the bio-processor are provided. The bio-processor includes a bioelectrical impedance sensor and a digital signal processor. The bioelectrical impedance sensor measures bioelectrical impedance during a sensing time including a portion of a settling time. The digital signal processor estimates a settled bioelectrical impedance value based on changes in the measured bioelectrical impedance. The digital signal processor generates bio-data based on the settled bioelectrical impedance value. The bio-processor reduces a time when a bio-signal is measured and ensures accuracy of the settled bioelectrical impedance value.

The utility model relates to the technical field of electronic measuring instruments, solves the technical problems of single measuring function and poor environment adaptability in the prior art, and particularly relates to a high-precision multifunctional impedance test instrument probe. The test instrument probe comprises a measuring circuit used for measuring various parameters of a circuit to be tested, a processing module used for operating the various parameters, a temperature compensation circuit and a power supply module, the measuring circuit comprises an impedance measuring circuit, a capacitance measuring circuit and a current measuring circuit, and the impedance measuring circuit is composed of a high-precision impedance sensor, a high-precision capacitance sensor and a high-precision current sensor. According to the utility model, through the effect of the measuring circuit, various circuit parameters, including impedance, capacitance and current, in the circuit can be measured, so that the probe of the test instrument can meet various different measuring requirements, the functionality of the probe of the test instrument is increased, and the use efficiency of the probe of the test instrument and the working efficiency of a user are improved.

The invention relates to the technical field of magnetic sensors, in particular to a non-diagonal giant magneto-impedance sensor for detecting biomarkers and a preparation method thereof.The non-diagonal giant magneto-impedance sensor comprises an impedance sensor, a PI film, a SiO2 film, a self-assembly monomolecular film and an array microcavity, and the impedance sensor comprises a sensitive element and an induction coil; a-aminopropyltriethoxysilane self-assembled monomolecular film prepared on a SiO2 film can be used for fixing a monoclonal antibody, a microcavity array is placed on the self-assembled monomolecular film and is used for biological immune reaction, the magnetic label adopts streptavidin magnetic beads, the surface of the magnetic bead is modified by streptavidin, and the magnetic label can be used for biological immune reaction. Streptavidin molecules having multiple peptide chains are shown, which can be used to specifically bind biotinylated antibodies. According to the impedance sensor, a thin strip with a parallel structure is adopted as a sensitive element, and high-sensitivity biomarker detection can be realized on the basis of the principle of a double-antibody sandwich method.

The present application relates to the technical field of health care informatics, in particular to a system for predicting depression of teenagers, comprising an acoustic characteristic representation module, including a co-integrated ultrasonic transducer array and electroencephalogram electrode, an electrode substrate embedded with an acoustic impedance sensor, and a temperature-sensitive acoustic coupling adhesive layer on the surface of the electrode substrate; a multi-layer medium acoustic modeling module: used for establishing an accurate head tissue acoustic transmission model according to individual anatomical structure characteristics, for quantifying the frequency dispersion effect generated when the electroencephalogram signal propagates in different tissue layers, etc.; solving the problem that in the prior art, due to the change of the myelin sheath thickness of teenagers, the tissue-specific dispersion has a systematic influence on the functional connection network, resulting in that the depression-related network abnormalities and the development-related transmission changes cannot be distinguished.

A catheter and patch electrode system is provided for use with an ablation generator, having a 4-wire interface for improved impedance measurement. The 4-wire interface includes a pair of source connectors across which an excitation signal is produced and a pair of sense connector wires across which the impedance is measured. The system further includes a cable that connects the generator to a catheter that includes a shaft with an ablation tip electrode disposed at a distal end. The impedance sensor circuit produces an excitation signal across the source connectors, which is then carried to the catheter by the cable, then to the tip electrode, travels through the complex load (tissue volume), and returns to the generator via a patch electrode. The impedance is measured by observing the voltage drop across the sense connectors caused by the excitation signal.

Embodiments described herein generally relate to bio-inspired articles for underwater adhesion for soft substrates and related methods. In some embodiments, an article configured for underwater adhesion to soft substrates is provided. In some embodiments, the article comprises: an adhesive disk, comprising: an elastomeric compartment; and a plurality of tilt-angled lamellae structures, wherein each adhesive compartment is configured to separately seal lamellae pairs for hydrostatic differentiation. In some embodiments, the article further comprises a backbone support structure. In some embodiments, the article further comprises a pharmaceutical agent (e.g., drug delivery polymer matrix, microneedles), electronic component (e.g., RFID), and / or biochemical sensor (e.g., impedance sensor) associated with the disk. In some embodiments, the tilt-angled lamellae have an angle of greater than or equal to 0 degrees and less than or equal to 60 degrees. In some embodiments, the underwater adhesion of the article does not require the external application of vacuum pressure.

A smart medical device includes a structure configured to be at least partially implanted in a body, and an electronics cartridge that is configured to be inserted into the structure after the structure is implanted in the body. The structure may be a cannulated screw for use in treating bone fractures. The medical device includes an impedance sensor for monitoring and reporting on the healing state of bone fractures. The sensor includes components of the electronics cartridge and electrodes that are either associated with the cannulated screw or with the insertable electronics cartridge.

The invention relates to the technical field of medical care informatics, in particular to a teenager depression prediction system. Comprising an acoustic characteristic characterization module, the acoustic characteristic characterization module comprises an ultrasonic transducer array and electroencephalogram electrode co-integration, an acoustic impedance sensor is embedded in an electrode substrate, and a temperature-sensitive acoustic coupling adhesive layer is arranged on the surface of the electrode substrate; the multi-layer medium acoustic modeling module is used for establishing an accurate skull tissue acoustic transmission model according to the characteristics of an individual anatomical structure, and is used for quantifying the frequency dispersion effect and the like generated when the electroencephalogram signals are transmitted in different tissue layers; the problem that depression-related network abnormity and development-related transmission change cannot be distinguished due to systematic influence of tissue-specific dispersion on a functional connection network due to teenager myelin sheath thickness change in the prior art is solved.

A microfluidic device for particle analysis, such as immunophenotyping, includes a plurality of microfluidic channels for the passage of a particle-laden fluid flow, a plurality of dedicated impedance sensors for generating impedance signals relative to each microfluidic sensor. The impedance sensors are CODES Coulter sensors, each having a distinct coded sequence for generating mutually orthogonal signals. The system uses a multi-frequency excitation signal for driving the Coulter sensors, such that the Coulter sensors generate multi-frequency impedance signals. The system outputs the multi-frequency signals of the plurality of impedance sensors as a single multi-frequency multiplexed signal, which is subsequently separated into a plurality of single-frequency multiplexed signals, which are then demodulated into single-frequency component signals corresponding to each of the Coulter sensors.

The invention discloses equipment and a method for monitoring air environment pollution of factories damaged by occupational diseases, belongs to the technical field of air environment monitoring, and solves the problems that the toxicity of composite pollutants formed by quenching oil mist and metal dust in heat treatment and fine grinding workshops of bearing manufacturers is multiplied, sampling distortion is caused by oil mist interference detection and workshop pollutant retention areas, and the detection accuracy is low. And finally, the detection report reaches the standard falsely. Comprising a sensor array module and a data processing module, and the sensor array module comprises a quartz crystal microbalance array module, a multi-wavelength optical sensor array module, a broadband impedance sensor array module and a surface acoustic wave sensor array module. According to the invention, through synchronous acquisition of multi-modal sensor data, real-time analysis and processing, quantification of pollutant carrier effect, fusion of multi-source information, accurate identification of pollutant components, assessment of health risk level and automatic generation of early warning signals, comprehensive and accurate monitoring and risk early warning of composite pollutants in a factory environment are realized.