39 results about "Bioelectric Impedance" patented technology

The invention relates to a multi-frequency bioelectrical impedance-based body fat accurate measurement method and system. The method comprises the following steps: receiving a mode selection instruction sent by a user to determine a current working mode; if the mode is a rapid measurement mode, applying single reference frequency and reference current intensity excitation, obtaining a single group of bioelectrical impedance data, and calculating a rapid body fat rate result; if the measurement mode is an accurate measurement mode, acquiring bioelectrical impedance data under a plurality of preset frequencies and a plurality of preset current intensities through a complete electrode system, performing signal processing on the data, extracting impedance amplitude and phase information, constructing an impedance characteristic curve, extracting characteristic parameters related to the body fat rate from the impedance characteristic curve, and calculating the body fat rate based on the characteristic parameters. And obtaining a final body fat rate result of the accurate measurement mode. According to the method, the body fat rate can be accurately measured, and the accuracy and reliability of a measurement result are improved.

A pet body fat rate measuring system disclosed by the present application comprises a body fat scale, a host and a body fat rate calculation module, the body fat scale is provided with a pet three-dimensional measuring device, a bioelectrical impedance measuring device and a weight measuring device, and the pet three-dimensional measuring device comprises a body width measuring scale, a body length measuring scale and a shoulder height measuring scale which are arranged in a relatively sliding manner. A capacitive grating displacement measuring device is formed; the body fat rate calculation module is provided with a pet body fat rate calculation model, the model is constructed through multiple groups of body shape data, electrical impedance data and body fat rate data of pets of different varieties, and the body fat rate calculation module obtains feature data, body shape data and electrical impedance data of the current pet; and calculating the body fat rate of the current pet by using the pet body fat rate calculation model. According to the utility model, the body fat scale is utilized to automatically measure and obtain the body shape data and the electrical impedance data of the pet, then the feature data of the pet and the pet body fat rate calculation model are combined to calculate and obtain the current body fat rate of the pet, the use is convenient, and the accuracy is high.

This application provides a bioelectrical impedance measurement method, circuit, chip, and electronic device. The method includes: obtaining a first contact impedance value corresponding to a first excitation electrode and a second contact impedance value corresponding to a second excitation electrode through a preset method; determining the transmission direction of an excitation current between the first and second excitation electrodes based on the first and second contact impedance values; controlling the excitation current to transmit between the first and second excitation electrodes according to the transmission direction; determining a target voltage value between a first and second measuring electrode, and calculating the impedance of the measured object based on the target voltage value; wherein the first and second contact impedance values ​​are different. This application can reduce the influence of contact impedance on the bioelectrical impedance measurement results, reduce the measurement error of bioelectrical impedance, and improve the accuracy of bioelectrical impedance measurement.

The invention discloses an intelligent biological eardrum based on individualized 3D printing and a preparation method thereof, and belongs to the technical field of medical instruments, and the eardrum comprises an individualized eardrum substrate, a PEDOT: PSS flexible electrode array integrated on the inner surface of the substrate, a multi-frequency bioelectrical impedance detection module, a VCT module and a central processing unit. Through multi-frequency bioelectrical impedance detection and VCT imaging, an auricle conductivity distribution map can be reconstructed, a nerve active area can be accurately identified, and personalized transcutaneous nerve electrical stimulation parameters can be generated. The invention further provides a corresponding intelligent nerve regulation and control system, a preparation method and a parameter adjustment method based on physiological signal feedback, an integrated solution from individualized manufacturing, precise recognition to self-adaptive closed-loop regulation and control is achieved, and the intelligent nerve regulation and control system is particularly suitable for individualized nerve regulation and control treatment of irritable bowel syndrome and other diseases; the problems of low stimulation precision, lack of individuation, poor comfort, no closed-loop feedback and the like in the prior art are effectively solved.

The invention is suitable for the technical field of biological measurement, and particularly relates to an intelligent body fat scale and a multi-frequency bioelectrical impedance measurement data fusion method thereof, and the method comprises the steps: carrying out the multi-frequency bioelectrical impedance measurement of a target measurement object, and obtaining a plurality of groups of bioelectrical impedance data sequences under different frequency bands; performing feature analysis on each bioelectrical impedance data sequence, determining a data analysis result corresponding to each frequency band, and determining data reliability corresponding to each frequency band according to the data analysis result; the fusion weight corresponding to each frequency band is determined based on the data reliability, and the limitation of a traditional fixed weight or simple average fusion method is overcome; and according to the fusion weight corresponding to each frequency band, weighting adjustment is performed on the corresponding bioelectrical impedance data sequence to obtain the adjustment data, and fusion processing is performed based on each adjustment data to obtain the measurement data, so that the technical advantages of multi-frequency measurement are fully exerted, and the overall competitiveness of the body fat scale product is enhanced.

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.

Provided is a system that more accurately estimates the degree of urine accumulation by solving a problem in which the influence of a change in the amount of urine accumulation is obscured when the biological impedance in the vicinity of the bladder is affected as the muscles contract. This urine accumulation degree estimation system (2) comprises: a measurement means for measuring at least two types of biological impedance by energizing a bladder (60) at at least two different frequencies; and an estimation means that estimates the urine accumulation degree of the bladder (60) on the basis of the at least two types of biological impedance. The at least two frequencies include a frequency at which the bladder (60) and the muscles (66) around the bladder can be energized, and a frequency at which the muscles (66) around the bladder can be energized.

The invention provides an intelligent push-up device which comprises a base provided with a first bearing part and a second bearing part, and electrode plates are arranged on the first bearing part and the second bearing part respectively; the bioelectrical impedance acquisition module has a first acquisition frequency and a second acquisition frequency, and first dynamic electrical impedance data of a target object in a motion state and first static electrical impedance data of the target object in a static state are acquired at the first acquisition frequency; the second acquisition frequency acquires second dynamic electrical impedance data of the target object in a moving state and second static electrical impedance data of the target object in a static state; and the data processing module is connected with the bioelectrical impedance acquisition module and is used for evaluating the muscle amount of the target object according to the first static electrical impedance data, the second static electrical impedance data and the height information and the weight information of the target object and determining muscle contraction information according to the first dynamic electrical impedance data and the second dynamic electrical impedance data.

The invention discloses a biological high-frequency electrical impedance characteristic real-time acquisition method and system, and the method comprises the steps: transmitting a high-frequency excitation signal to a first electrode pair through a coaxial shielding line, and obtaining a voltage signal U0 of a sampling resistor R0 connected in series with a signal transmission loop of the first electrode pair; a signal transmission loop of the electrode pair I is connected with a contact resistor RL in series to form an RC filter circuit together with the coaxial shielding line, and passive RC compensation is arranged between the electrode pair I and the living body; the voltage UZ on the impedance of the living body is obtained by the coaxial shielding line through the electrode pair II, and passive RC compensation is arranged between the electrode pair II and the living body; according to the sampling resistance R0, the voltage U0 and the voltage UZ, the bioelectrical impedance value RZ of the to-be-measured organism is calculated.

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

The application provides a portable multi-modal muscle health state detection system and method suitable for patients with bone fracture, and relates to the technical field of medical diagnosis. The system comprises: the flexible sensing patch comprises a flexible substrate and a bioelectrical impedance detection module, a surface electromyography detection module and a near-infrared spectroscopy muscle oxygen detection module collectively integrated on the flexible substrate, and the flexible sensing patch is used for non-invasive collection of multi-modal original monitoring data of a muscle part to be detected. The handheld host is electrically connected with the flexible sensing patch, the handheld host is used for sending control instructions to each detection module and receiving the multi-modal original monitoring data, and a comprehensive evaluation report containing three dimensions of muscle structure, muscle function and muscle metabolism is generated based on each parameter. The application overcomes the technical defects of single evaluation dimension of the existing portable device.

The invention discloses an internal arteriovenous fistula blood vessel noninvasive intelligent monitor, and belongs to the technical field of medical monitoring equipment. The sensor unit is composed of a photoelectric volume pulse wave sensor, a miniature ultrasonic sensor and a bioelectrical impedance sensor and used for collecting information such as heart rate, blood oxygen saturation, blood flow, angiography, tremor frequency, impedance parameters and vascular tension; the monitoring chip unit carries out amplification, filtering, analog-to-digital conversion and feature extraction on the information; the storage and preprocessing unit is used for realizing real-time storage and standardized processing of data; the communication unit uploads the data to a medical institution end or a cloud end through Bluetooth or Wi-Fi; the power management unit provides power and realizes low-power-consumption control; and the early warning unit performs risk assessment on the data based on an artificial intelligence model, and generates early warning information when a potential anomaly is detected. According to the invention, continuous, non-invasive and intelligent monitoring of internal arteriovenous fistula can be realized, and the early recognition and early warning capability of complications can be improved.

Electrical treatment device (20, 200) comprising: an impedance measurement unit (304) configured to measure the bioelectrical impedance of a site on a user's body by using multiple electrodes in contact with that site; a voltage control unit (308) configured to perform treatment of the site by controlling a treatment voltage applied to the multiple electrodes; and a time setting unit (306) configured to set a target time from the start of treatment of the site by the voltage control unit (308) until the voltage value of the applied treatment voltage reaches a target voltage value, based on the measured bioelectrical impedance, wherein the voltage control unit (308) increases the voltage value of the applied treatment voltage to the target voltage value based on the set target time, such that the time setting unit (306) sets the target time to be shorter the greater the measured bioelectrical impedance.

The invention provides a hypoglycemia tumble early warning system based on bioelectrical impedance mode classification, relates to the technical field of mode recognition, and constructs a collaborative early warning system integrating motion artifact compensation, hybrid detection, dynamic decision and closed-loop adaptive control. Multiple limitations in the aspects of accuracy, power consumption, decision-making sensitivity and execution intelligence in the prior art are successfully solved; on the premise of maintaining the long-term cruising ability of the wearable device, the false alarm rate caused by factors such as motion artifacts can be reduced through cooperative verification of passive monitoring and active detection; through dynamic activation and nonlinear fusion decision, the early warning sensitivity and accuracy of acute risk events are improved; and through closed-loop control with time sequence context perception, more humanized and efficient early warning intervention is realized, and finally, a really reliable hypoglycemia falling risk early warning solution from trend perception to state confirmation is provided for a user.

The invention discloses an intelligent evaluation and monitoring method for muscle mass of senile sarcopenia, and relates to the technical field of intelligent monitoring. The method comprises the following steps: acquiring multi-frequency bioelectrical impedance data and user state information of a user; inputting the multi-frequency bioelectrical impedance data and the user state information into a pre-trained muscle quantity evaluation model; according to the multi-frequency bioelectrical impedance data and the user state information, an evaluation result representing the muscle amount of the user is obtained through calculation; based on the evaluation result, a sarcopenia risk level or muscle mass change trend report is generated and output, short-term physiological fluctuation interference can be effectively resisted, the old-age muscle mass can still be stably and accurately evaluated and monitored under the non-ideal condition, and the robustness and reliability of the BIA technology in practical application are improved.

The application discloses a random forest-based feedback type edema diagnosis and treatment integrated system, and belongs to the technical field of medical instruments.The system comprises a bioelectric impedance monitoring module, a control module and a far-infrared light irradiation array; the bioelectric impedance monitoring module and the far-infrared light module are connected with the control module; wherein the bioelectric impedance monitoring module measures the voltage of an edema site and transmits the voltage to the control module; the control module calculates the bioelectric impedance information according to the voltage, combines the patient's meta-information, evaluates the edema degree by using a random forest model, determines an irradiation scheme, and sends a control instruction containing the irradiation scheme to the far-infrared light irradiation array; and the far-infrared light irradiation array irradiates and treats the edema site of the patient according to the control instruction. The integrated system can be used at home by the patient to realize effective diagnosis and treatment of edema without excessive dependence on the treatment experience of doctors. The integrated system can shorten the recovery period of edema.

Described herein are systems and methods for calibrating dry electrode bioelectrical impedance measurements. These method and apparatuses may be used for sensing bioelectrical impedance for ambulatory and or long-term measurements. Calibration of bioelectrical impedance sensing may be performed by using measurements taken during a shorted configuration of the apparatus, in which the same current is applied to both the source and sink stimulation electrodes, to modify measurements taken in a forward and / or reverse configuration in which current is applied to either the source and / or sink.

An autoinjector medical device may include: a cap plate including an engagement surface including a needle outlet; and a handle formed in the cover plate at an end portion of the cover plate opposite to the joining surface. The autoinjector medical device may also include a needle configured to translate through a needle outlet, a first sensor electrode disposed on the interface and adjacent the needle outlet, and a second sensor electrode disposed on the handle. The autoinjector medical device is configured to measure and collect bioelectrical signals of a user through the first and second sensor electrodes and provide related physiological data related to the user's heart and / or health, the bioelectrical signals including electrocardiogram (ECG) and bioelectrical impedance, to the user and / or physician.

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.

One or more electrodes for a portable bioelectric impedance monitor and methods using the monitor can measure and monitor extracellular fluid levels and / or cardiac signals using bioimpedance. The monitor may include a tetrapolar electrode array lead with four electrodes arranged sequentially and axially along the lead, and circuitry coupled with the at least four electrodes configured to measure bioelectric impedance extracellular fluid and / or cardiac signals in a human subject at various frequencies. The electrodes are adhered to a human subject / patient on the patient's torso or one of the patient's limbs.

The invention discloses a sub-tree adaptive weighted pruning blood glucose prediction method based on Extra Tres regression, and is applied to the field of bioelectrical impedance blood glucose prediction modeling. The method comprises the following steps: step 1, acquiring a data set containing human body bioelectrical impedance data and corresponding blood glucose values, and dividing the data set into a training set, a verification set and a test set; step 2, training an Extra Tres regression model based on the training set, extracting the prediction output of each sub-tree in the model, splicing the sub-tree prediction output with the overall prediction output, and constructing a sub-tree prediction result set; step 3, utilizing a mapping relation between a sub-tree prediction result in a verification set and a real blood glucose value, introducing a Bayesian ridge regression model to carry out probability modeling on sub-tree prediction contribution, and obtaining prediction weight distribution corresponding to each sub-tree; 4, a pruning criterion is constructed according to statistical characteristics of the prediction weight, and self-adaptive pruning is carried out on the sub-trees with low prediction contribution or high redundancy; and step 5, performing integrated calculation based on prediction output of the sub-trees reserved after pruning to obtain a final blood glucose prediction result. According to the method, adaptive learning and pruning control of the sub-tree weight are realized through probabilistic modeling of the sub-tree prediction contribution, the redundancy of the blood glucose prediction model is reduced, and the modeling stability and generalization performance of the blood glucose prediction model in a bioelectrical impedance scene are improved.

The invention discloses a dialysis patient household dry weight management electronic scale and method based on bioelectrical impedance, and belongs to the technical field of biomedical signal detection and hemodialysis adjuvant therapy, and the method comprises the steps: collecting a multi-frequency complex impedance signal of a dialysis patient, and constructing an impedance frequency spectrum track through a Cole-Cole model based on dialysis population feature correction; self-adaptive filtering is carried out on the track in combination with a time sequence analysis technology, and high-frequency noise caused by electrode contact and electrolyte unsteady-state flow is eliminated; separating the impedance into a long-term vector drift component representing tissue mass change and a short-term modulus change component representing extracellular fluid fluctuation by using a layered decoupling algorithm; the dry tissue change and the excess moisture removal amount are calculated according to the two types of components, the dry body weight target value is calculated in combination with the current body weight, the dry body weight target value is dynamically corrected based on the substantive change of the physiological components, and therefore the risk of excessive ultrafiltration or insufficient dialysis caused by evaluation misjudgment is avoided.

The present application relates to the technical field of intelligent monitoring after operation, in particular to a wireless intelligent pressurizing monitoring system and method for kidney puncture, the system comprising: an adjustable airbag pressurizing abdominal belt, a multi-parameter monitoring module, a wireless transmission module and a nurse station terminal, the multi-parameter monitoring module integrating humidity, pressure and bioelectrical impedance sensors, and sending data to the nurse station terminal through the wireless transmission module.In the present application, through the closed-loop control system integrating a miniature air pump and a pressure sensor, digital setting and dynamic constant maintenance of the compression force of the kidney puncture site are realized, and through the dual monitoring mechanism of the humidity sensor and the bioelectrical impedance sensor, not only can the trace bleeding on the surface of the dressing be sensitively captured, but also subcutaneous hematoma and deep hydrops that cannot be seen by the naked eye can be early identified by using the bioimpedance change principle, combined with the wireless transmission and the automatic early warning function of the nurse station, the discovery timeliness rate of postoperative complications and the safety of patients are greatly improved.

The present application relates to the technical field of biomedical engineering, and particularly relates to a feces hardness evaluation method and system for assisting defecation system, which comprises the following steps: controlling a mechanical arm to insert a probe integrated with a sensor into a rectum; after the probe passes through an anal sphincter, measuring an idling energy consumption; advancing by a unit distance to measure a rectal wall friction energy consumption; continuing to advance to contact feces to measure a total energy consumption; calculating a first feces hardness index based on the idling energy consumption, the friction energy consumption and the total energy consumption, then synchronously calculating a second feces hardness index by using composition data obtained by bioelectrical impedance measurement electrodes, and calculating a third feces hardness index by using pressure data obtained by a pressure sensor, and weighting and fusing the three indexes into a feces comprehensive hardness index. The present application realizes real-time and accurate feces hardness evaluation in the anus and intestines by multi-modal sensing and data fusion, and provides a reliable basis for personalized adjustment of parameter adjustment of the assisting defecation system.

The invention relates to the technical field of medical equipment, and discloses a novel ultramicro neuroendoscopic surgery system with a treatment function, which comprises a coaxial mirror module integrated with a sensing function, a central processing and control imaging module and a function support module, an optical imaging unit, a bioelectrical impedance sensor and a pressure sensor are integrated at the working end of the coaxial mirror module, so that co-location and multi-mode information synchronous acquisition of target tissues is realized; a form sensing element based on a fiber bragg grating array is arranged in the lens body and is used for sensing the three-dimensional form of the lens body in real time. The central processing and control imaging module executes a multi-source information fusion and tissue classification algorithm, a lens body three-dimensional form reconstruction algorithm and a perfusion pressure closed-loop feedback control algorithm, and displays the solved tissue type and lens body three-dimensional form in real time in an augmented reality mode such as highlight color and virtual curve. The accuracy and safety of the operation are improved by quantifying the focus and accurately identifying and navigating in real time.

This invention discloses an electrocoagulation device integrating bioelectrical impedance identification function, including a left clamp handle, a right clamp handle, and a left and right clamp head controlled by the opening and closing of the left and right clamp handles, respectively. The front ends of the left and right clamp heads are provided with interlocking teeth. The left clamp head is provided with a nested multifunctional electrode, including a first outer electrode, an insulating ceramic tube disposed inside the first outer electrode, and an inner core electrode disposed inside the insulating ceramic tube. The first outer electrode and the inner core electrode constitute a pair of opposing electrodes for impedance detection and nerve stimulation. The right clamp head is provided with a second outer electrode, and the first and second outer electrodes constitute a pair of opposing electrodes for high-frequency electrocoagulation. This invention enables the coordinated operation of high-frequency electrocoagulation and bioelectrical impedance detection functions on the same instrument, and allows for safe switching between different operating modes through a switchable electrical connection structure.

The invention discloses a human metabolism health state analysis and evaluation system and method based on bioelectrical impedance, and relates to the technical field of human metabolism health state analysis and evaluation, the system comprises a mobile phone App, a cloud system, a detection control subsystem and an electrical impedance measurement subsystem, the mobile phone App comprises a code scanning detection module, a report viewing module and a user login module, the cloud system is composed of an http communication module, a websocket communication module, a detection centralized control module, a metabolism state analysis module, a health state analysis module and a database. According to the designed human body metabolism health state analysis and evaluation system based on bioelectrical impedance, simplification of human body metabolism health state analysis and evaluation operation is achieved; according to the method, a user can independently complete detection through a mobile phone App, operation of professionals is not needed, the use threshold is greatly reduced, meanwhile, detection data are processed and analyzed in a centralized mode through the cloud platform, the detection efficiency and intelligent analysis are improved, and the pain point of a traditional technology is solved.

The invention provides a breast cancer postoperative lymphedema condition identification apparatus and method. The system comprises a main console, an integrated measuring arm sleeve, a dimension measuring module and a bioelectrical impedance measuring module; the integrated measuring arm sleeve comprises a measuring cavity used for containing a limb to be measured and a structural layer located outside the measuring cavity, the dimension measuring module comprises a plurality of dimension measuring pieces arranged in the structural layer, and the bioelectrical impedance measuring module comprises at least two pairs of electrodes arranged on the inner side wall of the measuring cavity. The dimension measuring pieces and the electrodes are arranged at intervals in the axial direction of the limb and are electrically connected with the main console; the dimension measurement module is used for acquiring the circumference information of a limb to be measured in a non-invasive manner, and the bioelectrical impedance measurement module is used for applying an excitation signal to the limb to be measured and detecting impedance response. According to the method, rapid, objective and repeatable evaluation of lymphedema is realized, and the problems of single data dimension, non-uniform measurement basis, insensitive early edema identification and the like in the prior art are solved.

The invention relates to the technical field of health equipment, and discloses a human body soreness degree detection method and system based on human body bioelectrical impedance change, and the method comprises the steps: applying periodic mechanical excitation to a specified body part; synchronously acquiring a human body bioelectrical impedance signal; performing dual-path data analysis on the bioelectrical impedance signal to obtain a frequency domain correlation index and a time domain volatility index; the frequency domain correlation index and the time domain volatility index are fused, and the ache level of the body part is judged; according to the aching pain level, a corresponding massage program is matched and executed, and the system comprises a bioelectrical impedance detection module, a mechanical execution component and a data analysis module and is used for executing the method. By comprehensively analyzing synchronous response and overall fluctuation of physiological signals and excitation, objective quantification of the ache degree is achieved, personalized closed-loop massage adjustment is provided accordingly, and detection accuracy and massage effectiveness are improved.