122 results about "Impedance sensor" patented technology

The invention discloses an intelligent nutrient circulation regulation and control method for a morchella esculenta fruit forest intercropping system based on the Internet of Things, particularly relates to the technical field of intelligent agriculture, and is used for solving the problem of symbiosis imbalance of hyphae and fruit trees caused by nutrient regulation and control lag and static threshold setting in the prior art. Hypha density, electric signal dominant frequency and root system absorption rate data are collected in real time through a multispectral impedance sensor and an ion selective electrode array, and a space-time aligned dynamic matrix is constructed; dynamically updating a nutrient balance threshold value based on a real-time ratio of a hypha metabolism rate to an absorption rate, and generating a nutrient transfer priority by combining collaborative analysis of a hypha transfer direction included angle and an electric signal main frequency offset gradient; a continuous transfer path is identified through a region growing algorithm, water and fertilizer amounts are distributed according to priorities, and a local area instruction is generated; and inverting the equipment response delay by using the high-frequency pulse signal, synchronously adjusting the execution frequency and updating the dynamic matrix and the threshold parameter, thereby realizing the dynamic adaptation and autonomous optimization of the nutrient supply and demand of the intercropping system.

The invention provides a pulse field ablation system based on impedance dynamic feedback and a use method thereof, and the system comprises a pulse generator module which is used for generating a voltage pulse required by pulse field ablation; the ablation catheter module comprises a plurality of ablation electrodes and is used for transmitting the voltage pulses to the to-be-ablated heart tissue, and the activation modes of the ablation electrodes are determined according to the depth and range of the to-be-ablated heart tissue; the impedance detection module comprises an impedance sensor and is used for dynamically detecting electrical impedance in different ranges in the ablated heart tissue; the system control module is used for dynamically adjusting the voltage pulse generated by the pulse generator module, the activation modes of the plurality of ablation electrodes and the detection range of the impedance sensor according to different ranges of electrical impedance in the ablated heart tissue; and the visual interface interaction module is used for displaying the ablation process and serves as an operation interface of the ablation process. According to the invention, the assessment capability of the ablation effect can be improved, and the accuracy and success rate of the ablation process are ensured.

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.

A broadband-capable current / voltage sensing-based VSWR resilient true power / impedance detector and method are disclosed that can be used for single-ended interfaces of individual phased array elements of a phased array antenna, e.g., large-scaled integrated phased-arrays. The true power and impedance detectors, as Built-in-Self-Test (BiST or BIST) circuitries, may each employ an in situ load invariant power and impedance sensor to provide true measurements of power and impedance that can be used to detect and / or monitor for VSWR variations and / or variations in the antenna driving impedance due to antenna element coupling and / or other effects. The measured power and impedance output(s) of each BIST circuitry can then be used to adjust or drive respective passive or active tuning circuitry, e.g., in the power amplifier or other front-end circuitries of the phased array antenna, for performance recovery (or optimization) of a respective array element.

According to the intelligent voice broadcast system and method for the elevator, elevator car environment data are collected in real time through a multi-source heterogeneous sensor set, and passenger density distribution and movement tracks are calculated through fusion of a millimeter wave radar and a 3D visual sensor; physiological features of a handrail contact area are detected through a biological impedance sensor so as to judge the health state of a passenger, and the current signal-to-noise ratio is dynamically calculated and the voice frequency band is optimized through an environment noise analysis module. Therefore, by constructing a technical system of'multi-modal perception-edge intelligent decision-cross-modal interaction 'and adopting innovative means such as millimeter-wave radar and biological impedance fusion sensing, deep reinforcement learning of a dynamic strategy and a phased array directional sound field, the problems of broadcast stiffness, poor scene adaptability and privacy potential safety hazards are solved. According to the system and method, accurate passenger feature recognition, dynamic voice content generation and multi-channel collaborative feedback are achieved through two-dimensional innovation, and the intelligent level and service efficiency of elevator voice interaction are improved.

The invention relates to the technical field of solid fuel cells, and discloses a porous gradient anode supported solid fuel cell impedance optimization method which is applied to a system comprising a plurality of porous gradient anode impedance sensors and an optimization controller. The method comprises the steps that a sensor collects voltage and current data to generate an impedance state data set; the optimization controller constructs a regional impedance state matrix, extracts features through processing, performs impedance distribution prediction in combination with a potential gradient and the like, outputs spatial and temporal distribution features through an impedance optimization model, and updates a data set; and dynamically optimizing regional electrode parameters according to the distribution characteristics, including voltage adjustment, current aggregation, resistance distribution and other operations. According to the method, through multi-sensor distributed acquisition, multi-dimensional feature analysis and dynamic modeling, accurate prediction and parameter dynamic regulation and control of electrode impedance spatial and temporal distribution are realized, the performance and stability of the solid fuel cell are improved, and the method is suitable for the field of solid fuel cell management.

A load sensing assembly for a medical implant is disclosed. The medical implant may include an upper surface, a side surface, a bottom surface, and a cavity housing various sensors and microelectronics. In other embodiments, the medical implant may include a port that is accessible through at least one of the bottom surface, side surface, and the upper surface. The port may be configured to receive an electronics assembly, package, or hermetically sealed enclosure. The electronics package may have a size and shape generally corresponding to the port. In various embodiments, electronic components and sensors may be powered by a local power source. In various embodiments, sensors may be chosen from: accelerometers, gyroscope, strain gauge, pressure sensor, pH sensor, impedance sensor, optical sensor, and / or a temperature sensor. In various embodiments, the medical implant may be chosen from: an interbody spinal implant, a pedicle screw, a connector, and / or a cross-link.

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.

A magnetic detector (1,2) includes: a magneto-impedance sensor element (10) including a magnetosensitive body (11) configured to cause a magnetization change in response to a strength of a magnetic field when an excitation current IIN is supplied to this body, and a detection coil (12) wound around the magnetosensitive body (11) and configured to output an induced voltage generated by the magnetization change in the magnetosensitive body (11); a sample hold circuit (22, 32) connected to one end of the detection coil (12) and is configured to hold an output voltage of the detection coil (12) when a sampling switch is tuned on; an amplifier circuit (24, 33) connected to an output side of the sample hold circuit (22, 32); and a post-stage high-pass filter (25, 35) connected to an output side of the amplifier circuit (24, 33).

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 present invention relates to a high-precision impedance detection circuit that can overcome the influence of distributed parameters and line resistance, which is composed of an impedance sensor, an integrated operational amplifier, and a current detection resistor; during detection, a known excitation voltage is applied to the measured medium through the sensor, and then the response current of the measured medium is detected; the excitation is connected to the non-inverting input terminal of the first operational amplifier, and its output terminal is connected to the excitation electrode of one plate of the sensor through the shielding layer of the shielded wire. The sensing electrode of the same plate is fed back to the inverting input terminal of the first operational amplifier through the inner core of the shielded wire; the sensing electrode of the other plate of the sensor is connected to the inverting input terminal of the third operational amplifier through the inner core of the triple coaxial cable, and the excitation electrode is connected to the current detection resistor through the inner shielding layer of the triple coaxial cable and then connected to the output terminal of the third operational amplifier, and its non-inverting input terminal is grounded; on the instrument side, the inner shielding layer of the triple coaxial cable is connected to its outer shielding layer after being driven by the voltage follower of the second operational amplifier; the circuit impedance detection of the present invention has high precision and strong anti-interference ability.

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.

The present application discloses a wrist-worn device, including a processor, a rotating member, a conductive electrode, an electronic switch, an ECG sensor, a bio-impedance sensor, and a position detection sensor. The processor is configured to: determine whether a body composition detection instruction input by a user is received; determine whether the rotating member rotates to a preset position according to data collected by the position detection sensor; if the body composition detection instruction input by the user is not received and the rotating member rotates to the preset position, control the electronic switch to connect the conductive electrode to the ECG sensor, and use the ECG sensor to collect ECG data through the conductive electrode. The present application can improve the convenience of the ECG data collection process. The present application also discloses a method for collecting physical sign data, which has the above beneficial effects.

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.