22 results about "Bioelectrical impedance analysis" patented technology

The invention discloses a pet healthy feeding method and device based on multi-mode recognition and dynamic decision, and relates to the technical field of pet feeding, and the method comprises the steps: carrying out the dual-mode identity recognition through pet image data, and obtaining a pet identity recognition result; performing bioelectrical impedance analysis based on the pet identity recognition result to obtain pet physiological indexes; according to the pet identity recognition result and the pet physiological indexes, dynamic decision making is carried out, and an optimal feeding decision is obtained; a feeding instruction is executed according to the optimal feeding decision, and a pet healthy feeding result is obtained. According to the invention, the problems of feeding conflict, single health monitoring, feeding decision stiffness and the like of a multi-pet family are solved, and unprecedented accurate, intelligent and dynamic pet health management is realized.

This application relates to the field of medical and health monitoring technology, and discloses a system for assessing the body fluid status of hemodialysis patients based on multi-frequency bioelectrical impedance analysis. The system includes: a body fluid prediction module that uses a preprocessed impedance vector to solve for Cole model parameters through nonlinear fitting, combines real-time ultrafiltration rate data, and uses an unscented Kalman filter algorithm to dynamically optimize the Cole model parameters, obtaining optimized Cole model parameters. Based on these optimized parameters, time-series features are extracted and a fusion prediction model is used to obtain the predicted body fluid volume. A body fluid assessment and early warning module is used to determine the patient's current body fluid volume quantification index based on the optimized Cole model parameters and basic information, providing real-time early warning and short-term trend warning based on the predicted body fluid volume. This application helps improve the real-time performance and accuracy of body fluid status assessment.

This invention discloses a method for measuring cranial thickness based on bioelectrical impedance analysis (BIA), comprising: dividing the target region into subdivisions using the finite element method (FEM) to establish a finite element model; acquiring surface voltage signals of the skull using a four-electrode method on a brain electrical impedance imaging platform; obtaining the conductivity distribution of each node of the triangular element by solving the inverse voltage problem; inputting the conductivity distribution into the finite element model and calculating the distance between the node with the largest resistivity change and the corresponding boundary voltage node by solving the forward problem, thus obtaining the skull width at a set of signal locations; measuring the node voltages and calculating the corresponding skull thickness using a sixteen-electrode cyclic excitation method; and finally, assembling all node voltages and skull thicknesses into a plane to obtain the overall skull thickness. This invention designs a method for measuring cranial thickness based on bioelectrical impedance analysis (BIA), providing an accurate method for calculating cranial thickness.

FIELD: medicine.SUBSTANCE: group of inventions relates to a method for multi-frequency bioelectrical impedance analysis and a device for implementing it. Alternating electric current signals are passed through the human body. Each signal has one of three different frequencies. At each frequency, the amplitude of the voltage of the signals passing through the human body is measured. An initial phase angle is selected for each specific impedance module. The phase angle characterizes the phase shift of the current of signals entering the human body relative to the phase of the voltage of signals passing through the human body. At each frequency, the phase angle is estimated using an equivalent electrical model of the human body, the initial phase angle and the impedance modulus. A body model is created for a specific person. The ratio of extracellular water content to total body water content in a human is determined by inputting extracted parameters of the human body model into a trained machine learning model. The device comprises a source of alternating electric current signals, electrodes for conducting and reading signals, a measuring device for measuring signal parameters, a processor and memory.EFFECT: device is compact and has small-area electrodes for integration into wearable and / or portable devices while maintaining measurement accuracy.14 cl, 6 dwg

This invention relates to the field of bioelectrical impedance analysis (BIA) technology, and more particularly to a calibration device and method for a BIA. The technical solution is as follows: A calibration device for a BIA, the device being connected to a BIA host via a communication interface and a calibration port. The device includes: a main control unit for communicating with the host and parsing instructions from the host; a high-speed multiplexer, the control terminal of which is connected to the main control unit, and the output terminal connected to the calibration port; and a standard impedance network composed of multiple high-precision passive components, including resistors, capacitors, inductors, and their series-parallel combinations, wherein each impedance component is connected to a different input channel of the high-speed multiplexer. Through a highly integrated standard impedance network and an automatic switching mechanism, the calibration process is fully automated, completely eliminating human error and greatly improving calibration efficiency and consistency.

The utility model discloses a household osteoporosis-sarcopenia combined monitoring and rehabilitation assisting device in the technical field of rehabilitation treatment, which comprises a leg sleeve, a portable ultrasonic bone mineral density instrument and a bioelectrical impedance analyzer, a plurality of grooves are arranged on the periphery of the leg sleeve, a plurality of electromagnets are fixedly connected in the leg sleeve along the periphery, and the electromagnets are connected with the bioelectrical impedance analyzer. A controller is fixedly connected in the leg sleeve, the controller is electrically connected with a data plug, and the portable ultrasonic bone mineral density instrument and the bioelectrical impedance analyzer are both in signal connection with a data socket. Through the arrangement of the leg sleeve, the electromagnet, the data plug and the data plugboard, the weight of the required balancing weight is determined according to data monitored by the portable ultrasonic bone mineral density instrument and the bioelectrical impedance analyzer, and then the balancing weight is attracted through the electromagnet, so that the weight of the balancing weight is adjusted. Through data, patients with osteoporosis and patients with sarcopenia can conveniently carry out aerobic training such as load-bearing jogging according to physical conditions, and therefore the recovery training effect is better achieved.

Attachment devices for analyzing the density of breast tissue are described herein, as well as methods of using thereof which rely on bioelectrical impedance analysis. Use of such techniques can be used to pre-screen individuals with dense breast tissue which are at higher risk for breast malignancies and direct them toward other breast screening tests.

The invention discloses a sarcopenia assessment system and medical equipment, and the system comprises a data processing module which is used for splitting and preprocessing clinical data; the feature screening module is used for determining an optimal feature subset; the model building and training module is used for building and optimizing a sarcopenia evaluation model; the model evaluation module is used for evaluating the generalization performance of the model; and the practical application module is used for evaluating a new patient. Based on a bioelectrical impedance analysis technology, four key characteristics of gender, body weight, extracellular fluid resistance and intracellular fluid resistance are automatically screened out, and a multi-model preferential strategy is adopted to construct a high-performance evaluation model. According to the method, the defects that a traditional method depends on expensive equipment, complicated processes, subjective indexes and the like are overcome, rapid, objective and accurate screening of sarcopenia is achieved, and an efficient and reliable auxiliary diagnosis tool is provided for clinic.

This invention discloses a driver health monitoring system, method, and vehicle, relating to the field of automotive technology. One specific embodiment of the system includes: a tire pressure sensor that, in response to a driver's entry instruction, collects tire pressure after the driver enters the vehicle, and in response to a driver's exit instruction, collects tire pressure after the driver exits the vehicle; a first bioelectrical probe that, in response to a driver's vehicle operation instruction, collects bioelectrical impedance data of the driver's hands; a second bioelectrical probe that collects bioelectrical impedance data of the driver's feet; and a microcontroller that, using the tire pressure data after the driver enters the vehicle, the tire pressure data after the driver exits the vehicle, the hand bioelectrical impedance data, and the foot bioelectrical impedance data, analyzes the driver's health parameters, displays and pushes a health report based on the driver's health parameters in the vehicle's infotainment system interface. This embodiment enables monitoring of the driver's health within the vehicle.

The invention discloses a wound healing process monitoring method and system based on bioelectrical impedance. The method comprises the following steps: synchronously measuring wound area impedance and healthy skin area impedance under a preset frequency set; the wound impedance rate of each frequency point is calculated according to the wound area impedance and the healthy skin area impedance; and calculating a wound state index based on the wound impedance rate, and quantitatively evaluating a wound healing stage through the wound state index. The system comprises a control communication module, a dual-channel synchronous detection module, a dynamic calibration module and a three-electrode group, the control communication module is connected with the dual-channel synchronous detection module and the dynamic calibration module through wires and a switch network. And the dual-channel synchronous detection module is connected with the three-electrode group through a coaxial shielding wire. Objective quantitative monitoring and quantitative evaluation of the wound healing process can be achieved, and the method has the advantage of being accurate in evaluation.

The utility model relates to a portable nondestructive live fish detection device, including detection box, the left side of detection box is provided with bioelectrical impedance analyzer, the inner wall of detection box both sides is fixedly installed with the contraction gasbag, the opposite side of two contraction gasbags is fixedly installed with rubber board, the opposite side of two rubber boards is fixedly installed with air cushion. This portable nondestructive live fish detection device, the portable live fish detection device opens the top cover and puts in the live fish, and the fish will be between two air cushions, the inflation mechanism inflates the contraction gasbag and makes it swell, pushes the rubber board and air cushion close, clamps the fish, after clamping, multiple electrode pieces are pasted with the fish body outer skin, the bioelectrical impedance analyzer exerts multiple frequency band microcurrent on the fish body surface through the electrode piece, utilizes the conductivity difference of healthy and pathological tissue to detect impedance change, combines database comparison, can judge the fish health state nondestructively and quickly within three seconds, improves detection accuracy.

A bioelectrical impedance analyzer includes a plurality of electrode sets attached to a subject to generate a bioelectrical signal, a signal processing unit electrically connected to the electrode sets and configured to convert the bioelectrical signal into a resistance and a reactance of the subject, and an estimation unit electrically connected to the signal processing unit and configured to obtain the bone mineral density of the subject according to the following formula: BMD=a+b×(R / H)+d×(Xc / H), where BMD represents the bone mineral density; a, b, and d are weighting coefficients; R represents the resistance of the subject; Xc represents the reactance of the subject; H represents a height of the subject. Accordingly, the bioelectrical impedance analyzer can achieve advantages of reducing measurement costs and rapid measurement.

The invention relates to a wearable sarcopenia screening method and device based on multi-modal sensing, belongs to the technical field of medical detection and rehabilitation engineering, and solves the problems that an existing detection means is insufficient in dimensionality, cannot be worn, lacks a standardized algorithm and analysis and the like. The device comprises a multi-modal ultrasonic detection module which is used for acquiring multi-modal ultrasonic data based on ultrasonic imaging, synthetic aperture imaging and bone mineral density ultrasonic propagation velocity measurement; the bioelectrical impedance analysis module obtains bioelectrical impedance data based on the alternating current and the cross-electrode voltage; the data processing and transmission module is used for carrying out analog-to-digital conversion, preprocessing and feature extraction on the multi-mode ultrasonic data; the user interface displays the preprocessed multi-modal ultrasonic data and bioelectrical impedance data, manages and compares multi-user archives to provide dietary exercise suggestions and support remote doctor consultation; and the cloud performs risk prediction according to the multi-modal ultrasonic data and the bioelectrical impedance data. The multi-mode ultrasonic detection overcomes the defect of detection means dimension.

According to the evaluation method, firstly, a bioelectrical impedance analyzer is provided, the bioelectrical impedance analyzer is provided with a data database, parent data of different races are stored in the data database, and then a testee inputs parameters such as races, genders and ages into the bioelectrical impedance analyzer; then, the bioelectrical impedance analyzer obtains measurement data according to the height and weight of the testee and parameters input by the testee, and finally, the bioelectrical impedance analyzer analyzes and compares the measurement data of the testee with parent data of the data database, so that the body composition condition of the testee in the race can be evaluated. Therefore, the body composition evaluation requirements of different races are met, and the accuracy of evaluation results is improved.

The invention discloses a marine organism fatty acid rapid detection device, and relates to the technical field of marine organism fatty acid detection.The marine organism fatty acid rapid detection device comprises a bioelectrical impedance analyzer, a side plate is fixedly connected to the upper portion of the side edge of the bioelectrical impedance analyzer, and a self-adaptive fixed detection mechanism is arranged outside the side plate; the self-adaptive fixed detection mechanism comprises a driving motor arranged outside the side plate, a threaded rod is arranged at the output end of the driving motor, a first sliding plate is in threaded connection with the side, away from the driving motor, of the threaded rod, a first groove plate is slidably connected to the side edge of the first sliding plate, and a circular plate is fixedly connected to the side edge of the first groove plate; by means of the negative correlation between the fat content and the resistance value, fat percentage estimation is rapidly completed, sampling errors and chemical interference are avoided, the fat percentage is synchronously attached to the body surface of a living body from four directions, different body types are adapted, contact uniformity is ensured, and the fat percentage estimation accuracy is improved. The problem of detection deviation caused by tissue heterogeneity in a traditional method is solved.

The utility model discloses a kind of body fat electronic scales of RGB light indication, including bottom shell, supporting mechanism, control chip, weighing unit, body fat measurement unit and display unit, the top of bottom shell is provided with toughened glass cover, and multiple sets of supporting mechanism are respectively arranged in the end angle of bottom shell bottom;Control chip is arranged in the inside of bottom shell;Weighing unit is arranged in the inside of bottom shell and corresponds with multiple sets of supporting mechanism;Body fat measurement unit is arranged in the end angle of bottom shell and toughened glass cover, and the control end of body fat measurement unit is electrically connected with the output end of control chip;Display unit is arranged in the inside of bottom shell.The utility model integrates body fat measurement unit on the basis of weighing, can carry out body fat measurement to the person who is weighed by bioelectrical impedance analysis, simultaneously combined after RGB lamp group, in the process of weighing, can change by emitting different light color to prompt the change of the person who is weighed, so that whole weight scale can more effectively prompt the person who is weighed when using.

A device and method for minimizing asthma and / or Crohn's or IBD. The device comprises a user-wearable device comprising: a micro-electro-mechanical systems (MEMS) microphone system; a bioelectrical impedance analysis system; a breath humidity and breath temperature sensor system; an interstitial fluid monitoring system; at least one processor; a power system that powers the at least one processor, the at least one electronic communications system, and the systems of the user-wearable device; and wherein the electronic communication system may receive data from at least one other electronic system that carries instructions for a treatment plan that is refined over time via machine learning.

Disclosed is an assessment method for body composition data, which comprises the following steps: (S1) providing a bioelectrical impedance analyzer (10), the bioelectrical impedance analyzer (10) being provided with a database (20), and the database (20) storing reference data (22) of different races; (S2) inputting, by a subject (80), a plurality of parameters in an input unit (30) of the bioelectrical impedance analyzer (10), the parameters comprising race, gender, and age; (S3) acquiring, by a data construction unit (40) of the bioelectrical impedance analyzer (10), measurement data (82) of the subject (80) according to the height of the subject (80), the weight of the subject (80), and the parameters input by the subject (80) in step (S2); and (S4) analyzing the measurement data (82) of the subject (80) and comparing the data with the reference data (22) in the database (20) by a data analysis unit (50) of the bioelectrical impedance analyzer (10), so as to assess the body composition status of the subject (80) within his or her specific race, thereby meeting the body composition assessment needs of different races and improving the accuracy of the assessment results.

The present invention refers to a method for estimating calorie sources of energy expenditure, EE, stamina, training load, and recovery time of a user during physical activities, comprising: obtaining user data including user profile data, bioelectrical impedance analysis, BIA, data and physical activity data, wherein the physical activity data is obtained from a wearable device during a physical activity session; determining a respiratory exchange ratio, RER, time series of the user during the physical activity with a RER prediction model based on the user data, wherein the RER prediction model is trained with a dataset comprising physical activities data to predict RER time series; determining an energy expenditure, EE, time series of the user during the physical activity with an EE prediction model based on the user data, wherein the EE prediction model is trained with a dataset comprising physical activities data to predict EE time series; and estimating the calorie sources during the physical activity based on the user data, RER time series and EE time series (308), wherein the calorie sources comprise carbohydrate, fat, and protein. estimating stamina, training load, and recovery time during physical activity based on the user data and calorie sources. The invention also refers to a corresponding system and a non- transitory medium.

The present invention relates to a device for providing customized skin and health products that integrates AI skin analysis, BIA body composition analysis, and vending functions. The device includes a face alignment bay, a shooting unit, a condensation suppression unit, a body composition measurement unit, a control unit, a product storage and dispensing unit, and a payment unit. The control unit analyzes the skin condition using a facial image and analyzes body composition using BIA measurements based on a two-hand contact method, then integrates these results to calculate a health and skin index. Additionally, based on the analysis results, it recommends and automatically dispenses cosmetics, nutrition bars, vitamins, or functional products. The present invention enables stable measurement even in high-temperature and high-humidity environments and can be utilized in gyms, saunas, hotels, airports, medical tourism, and K-beauty service sectors through multilingual avatar consultation.

The invention relates to the field of medical equipment, in particular to a lymphatic stimulation device and method based on BMI and meridians, a BMI parameter measurement and calculation module calculates a BMI value of a user by adopting bioelectrical impedance analysis, and obtains a corresponding user type based on the BMI value; the bioelectricity feedback module adopts an electrode array to detect the skin conductivity and the impedance change value of a target acupoint, and obtains a lymphatic cycle efficiency score in combination with a regression analysis model; the mode matching module is used for matching corresponding pressure and temperature stimulation modes based on the user type and the lymphatic cycle efficiency score; the negative pressure intensity adjusting module adjusts the negative pressure of the negative pressure suction head assembly based on the pressure stimulation mode; the temperature adjusting module adjusts the working temperature of the lymphatic vessel development head assembly based on the temperature stimulation mode. The traditional Chinese medicine composition has the capability of penetrating a fat layer, reduces inflammatory factors, improves metabolism of overweight patients, relieves edema and promotes lymphatic drainage.

The invention discloses a multi-parameter human body fat real-time data monitoring method and device and a medium, and relates to the technical field of bioelectrical impedance analysis, and the method comprises the steps: obtaining a multi-frequency impedance amplitude and an impedance phase according to a fixed beat, continuously recording the change of impedance along with time at a reference frequency point, and forming a data fragment sequence sorted according to time; performing fragment shaping on data fragments in the data fragment sequence in sequence to obtain an effective multi-frequency amplitude-phase sequence and an effective continuous time sequence; extracting multi-frequency spectrum form representation and time form representation on the effective multi-frequency amplitude-phase sequence and the effective continuous time sequence, and performing fractional suppression coupling and logic bounded mapping to obtain a body fat percentage; and performing baseline deduction and triangular adjacent smoothing on the body fat percentage to obtain a continuous body fat percentage curve, freezing the body fat percentage when abnormal segments continuously appear, and updating the continuous body fat percentage curve after recovery. And the smoothness and the stability of a body fat percentage curve are ensured through triangular adjacent smoothness.