731 results about "Bio electricity" patented technology

A system for detecting an anomalous biologic event in a person includes a wearable device for monitoring skin surface sites of a person. The wearable device includes an electrode for contacting skin sites, an electronic stimulus source with a surface area to provide stimulus, and a sensor placed adjacent the skin sites to sense physiological data. A processor is coupled to the wearable device and is configured to: cause the stimulus source to generate a stimulus; excite the electrode to trigger monitoring the skin sites; cause operation of the sensor; receive bioelectrical data from each skin site; receive physiological data from the sensor; continuously compute a difference in the received bioelectrical data for a duration; compute a difference in the received physiological data at time intervals; and generate, based on the computation, an assessment including a likelihood of occurrence of the anomalous biologic event.

The invention provides a sleep-aiding medicine pillow dynamic regulation and control method and system based on physiological parameter analysis. According to the method, pressure data and sleep bio-electricity signals of a contact area of a user are collected in real time, a characteristic frequency band proportion and a heart rate fluctuation parameter are analyzed, and a correlation model is established; calculating a bioelectricity signal energy integral value of the characteristic frequency band based on the model, and quantizing to generate a bioelectricity intensity index; the heat conduction efficiency is changed by adjusting the molecular density of the temperature-sensitive material, and a contact layer heat transfer dynamic instruction is generated; pressure feedback and instruction waveform characteristics are combined, the micropore on-off duty cycle is adjusted, and the opening duration of unit time is controlled; the drug release rate is synchronously adjusted, so that the response waveform and the heat conduction instruction are dynamically balanced, and closed-loop regulation is formed. According to the application, through multi-parameter dynamic analysis and feedback adjustment, accurate cooperative control of heat conduction and medicine release of the medicine pillow is realized, and the matching degree of sleep-aiding substance release and sleep rhythm is optimized.

A system for detecting an anomalous biologic event in a person includes a wearable device for monitoring skin surface sites of a person. The wearable device includes an electrode for contacting skin sites, an electronic stimulus source with a surface area to provide stimulus, and a sensor placed adjacent the skin sites to sense physiological data. A processor is coupled to the wearable device and is configured to: cause the stimulus source to generate a stimulus; excite the electrode to trigger monitoring the skin sites; cause operation of the sensor; receive bioelectrical data from each skin site; receive physiological data from the sensor; continuously compute a difference in the received bioelectrical data for a duration; compute a difference in the received physiological data at time intervals; and generate, based on the computation, an assessment including a likelihood of occurrence of the anomalous biologic event.

The invention relates to the technical field of chronic kidney disease screening, and discloses an intelligent chronic kidney disease early screening instrument which comprises a physiological parameter detection module configured to synchronously collect multi-dimensional bio-electricity signals, optical characteristic parameters and body fluid biochemical parameters of a subject and output original signals; the multi-modal data processing module is in communication connection with the physiological parameter detection module and is configured to receive original signals, perform time domain and frequency domain conjoint analysis and construct a parameter incidence matrix; the wireless communication module is configured to realize encrypted interaction between the screening data and the cloud server and block chain evidence storage; and the man-machine interaction module is configured to display the risk level map in real time. According to the method, holographic dynamic correlation modeling of kidney function related micro-electrophysiological fluctuation and optical metabolism characteristics is realized, and a specific cross-modal pathological correlation mode of early renal injury can be effectively identified based on a time-frequency domain combined characteristic extraction and dynamic coupling algorithm.

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.

The invention provides a key operation method and a related device. A pressure sensor, an optical sensor, a bioelectric sensor and a temperature sensor can be arranged in a first key of the electronic equipment. The electronic equipment can accurately identify whether the touch operation acts on the first key and the type of the touch operation according to the data detected by the sensor in the first key. Therefore, the first key can support various types of touch operations (such as short-press operation, long-press operation, light-press operation, heavy-press operation, up-slide operation and the like). According to the method, a user can conveniently carry out different types of touch operations on the first key so as to control the electronic equipment to realize multiple functions.

The invention relates to the technical field of bio-electricity signal acquisition, and particularly discloses a multi-channel bio-electricity signal acquisition system and a multi-channel bio-electricity signal acquisition method.The multi-channel bio-electricity signal acquisition system comprises a bio-electricity signal acquisition unit and a data processing unit; the data processing unit is used for compensating the original electrophysiological signals according to the real-time impedance value transmitted by the analog-to-digital conversion unit, performing primary screening on the original bio-electricity signals through the lowest quality threshold value, and performing primary compensation on the original bio-electricity signals according to the real-time impedance value, the standard impedance value and the breathing phase; according to the method, more flexible quality requirement setting is realized, the quality threshold setting difficulty is reduced, secondary screening is performed on the corrected bio-electricity signals through the highest quality threshold, and secondary compensation is performed on the corrected bio-electricity signals by adopting the LSTM network, so that the influence of bio-impedance fluctuation on the bio-electricity signals is reduced, and the quality of the bio-electricity signals is improved. And the acquisition quality and stability of the bio-electricity signals are improved.

The invention relates to a sports injury real-time early warning and health optimization system based on multi-mode infrared thermal imaging and three-dimensional skeleton posture fusion, and belongs to the field of sports health management. The problems of motion analysis lagging, damage identification missing and cross-scene data splitting of a traditional monitoring means are solved. According to the technical scheme, the system comprises a multi-modal motion data sensing module which synchronously collects human thermodynamic distribution, three-dimensional skeleton postures and surface electromyogram signals through an infrared thermal imaging camera, an RGB-D camera and a bioelectric sensor; an AI driving training optimization engine is used for generating an adjustment instruction in real time based on a muscle thermal gradient and joint trajectory deviation degree dual-threshold model; and the full-scene intelligent management platform executes millisecond damage early warning, metabolic optimization and school-family health data closed-loop management. The technical effects are that the exercise safety guarantee is fundamentally improved, the training is scientifically optimized, the metabolism management accuracy is broken through, and the teaching resource allocation is intensive.

The invention relates to an electrical impedance detection method and device, an electronic device and a storage medium, which are applied to the field of electrical impedance imaging, and the electrical impedance detection method comprises the following steps: obtaining an electrode signal of a target electrode in a measurement area; a plurality of preset electrodes are attached to the measurement area; the target electrode comprises any one of a plurality of preset electrodes; the electrode signal carries excitation electrode data and measurement electrode data generated by the target electrode; determining a fluctuation value of the target electrode according to the excitation electrode data and the measurement electrode data; when the fluctuation value is within a preset fluctuation threshold range, based on a preset electrode measurement method, electrode contact impedance of the measurement area is obtained; and generating an electrode adjustment result based on the electrode contact impedance and sending the electrode adjustment result to the client. According to the method and the device, the problem that the efficiency of electrical impedance measurement is relatively low due to the fact that whether the electrode falls off or is in poor contact cannot be quickly judged during bioelectrical impedance imaging is solved.

The invention belongs to the technical field of exercise rehabilitation, and particularly discloses an exercise rehabilitation effect quantitative evaluation method which comprises the following steps: S1, a data acquisition unit acquires data of a patient in an exercise process through fusion of a multi-source sensor; s2, muscle electrical activity signals in the movement process of the patient are collected through bio-electricity signals, and the activation degree and the fatigue condition of muscles in rehabilitation movement are known; s3, acquiring muscle electrical activity signal data according to the acquired multi-source fusion data and the bio-electricity signals, and performing rehabilitation evaluation on the model; s4, according to the output of the evaluation model, a quantitative rehabilitation effect evaluation report is generated, and the report content comprises numerical values of various quantitative indexes, comparative analysis of rehabilitation targets and comprehensive scores of rehabilitation effects; an exercise rehabilitation effect quantitative evaluation system comprises a data acquisition system and a rehabilitation evaluation module. The method solves the problems that a traditional evaluation method is high in subjectivity and single in data, and has the advantages of being objective, comprehensive and accurate in quantification.

The invention provides a hand rehabilitation training glove and system based on electromyographic signal guidance and pressure feedback, and the glove comprises a flexible glove main body which is made of an elastic material, is designed to fit the anatomical structure of a human hand, and is used for collecting bioelectrical signals generated by the remaining hand and forearm muscles of a patient when the patient actively intends to generate power; the embedded signal processing module is used for carrying out amplification, filtering, noise reduction and analog-to-digital conversion processing on the collected original electromyographic signals; and the main control unit is used for calculating time domain and frequency domain characteristic values of the electromyographic signals and identifying the motion intention of the patient based on a preset threshold value or an adaptive algorithm. Weak electromyographic signals are collected and processed in a high-precision mode and immediately converted into local touch pressure feedback corresponding to the functions of the weak electromyographic signals, neural pathway connection between the cerebral cortex and target muscles is enhanced, training interestingness and immersion and compliance of a patient are remarkably improved, and the training effect is improved. And key power is provided for continuous long-term rehabilitation training.

The invention discloses a multi-modal tumor identification method based on a frequency domain attention mechanism. The method comprises the following steps: S1, acquiring multi-frequency bioelectrical impedance signals of tumor tissues and normal tissues and corresponding medical tumor pathological images; s2, extracting a frequency-time feature of the electrical impedance signal and a spatial feature of the pathological image through a multi-modal feature coding module, and generating a multi-modal fusion feature; s3, converting the multi-modal fusion features into frequency domain representation, performing weighted enhancement on the multi-modal fusion features through a frequency domain attention module, and outputting the features; and S4, fusing the features output by the frequency domain attention module and the superficial layer features in the coding stage through jump connection to obtain enhanced features, inputting the enhanced features into a decoding network, and outputting a tumor classification result. According to the method, the bioelectrical impedance signal and the multi-modal information of the pathological image are fused, and a frequency domain attention mechanism is introduced to effectively improve the expression ability of key frequency characteristics.

The application provides application of SEBS in implanting a biological electrode base. The biological electrode based on the SEBS base can be implanted in biological tissues, and is used for continuously or discontinuously analyzing physiological parameters of the biological body. Compared with other flexible bases, the SEBS base has the characteristics of being thinner and more flexible, can reduce the interference of body movement on the electrical signal, reduce the volume range of the implanted tissue and reduce the inflammatory reaction, thereby improving the measurement accuracy and long-term stability, is expected to meet more implantation site requirements when used for implanting a sensor, and has a good application prospect.

The invention relates to an OCT (Optical Coherence Tomography) navigation uterine cavity adhesion and dissection postoperative residual adhesion prediction method, which comprises the following steps of: acquiring an interference signal of an intraoperative uterine cavity wall area by utilizing OCT equipment, and identifying an adhesion fiber microstructure which is not completely broken so as to judge the existence of an optically invisible residual adhesion microbridge; applying low-frequency bioelectrical stimulation to the wounded area of the uterine cavity during the operation, and marking the wounded area as a tissue repair electrical activity silent area if no blood flow micro-reaction is continuously detected; oCT micro-deformation sequence analysis is carried out on the region after intraoperative dissection is completed, mutation breakpoints of tissue elastic distribution are identified, and the potential risk that traction after-tack occurs in the region is predicted; detecting whether a metabolic oxidation reaction residual zone exists in the operation area or not so as to judge local tissue repair activity decline and re-adhesion tendency; local micro-intervention stimulation is applied to the tissue area judged to be high in risk, OCT imaging is carried out again to detect the reversibility of tissue optical response, and if an image is still fractured and red shift is enhanced, it is judged that the area is the postoperative irreversible adhesion residual area.

The invention relates to the technical field related to bio-electricity signals, in particular to a plant emotion visualization method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring bio-electricity signals of different parts of a plant in different scenes by adopting a signal amplification circuit; extracting feature vectors of the corresponding bio-electricity signals under different scenes; based on the feature vector, a reinforcement learning algorithm is adopted for classification so as to identify the emotion type of the plant electric signal, and the corresponding relation between the bio-electricity signal and the emotion type is constructed; wherein different emotion types correspond to different scenes; acquiring real-time bio-electricity signals of different parts of the plant; and determining the emotion type of the plant based on the real-time bio-electricity signal and the corresponding relationship, and further determining the actual scene of the plant.

The invention belongs to the technical field of external diagnosis devices, and particularly relates to a memristor for adenovirus concentration detection and a preparation method of the memristor. The memristor comprises a bottom electrode layer, a metal oxide layer, a functional layer and an upper electrode layer which are sequentially formed from bottom to top in the thickness direction, the bottom electrode layer is an FTO conductive glass layer, the metal oxide layer is tantalum pentoxide, the functional layer is a gelatin-beta cyclodextrin composite film, and the upper electrode layer is a conductive electrode layer. The gelatin-beta cyclodextrin composite film with the memristive effect serves as a functional layer, after the film makes contact with adenoviruses, the film adsorbs virus particles, then the unique resistance change characteristic of the memristor is caused, the memristive behavior of the memristor is further fed back, and the memristive effect of the memristor is improved. The method is used for recording and analyzing the electrochemical or bio-electricity signal characteristics of adenovirus solutions with different concentrations, the adenovirus solutions with different concentrations are effectively distinguished according to the electric signal difference of the adenovirus solution and the control solution, the effect is obvious, and the repeatability is good.

The invention discloses a music bioelectricity physiotherapy instrument based on nursing data, and belongs to the technical field of biomedicine. A music bioelectricity physiotherapy instrument based on nursing data comprises a data acquisition module, a data processing module and a music physiotherapy module. The music bioelectricity physiotherapy instrument solves the problems that an existing music bioelectricity physiotherapy instrument usually adopts unified physiotherapy parameters and does not fully consider individual differences of patients, the detailed physiological and nursing data of the patients are collected and analyzed, the nursing requirements and the physiotherapy targets of the patients can be accurately determined, personalized physiotherapy scheme making is achieved, and the physiotherapy efficiency of the patients is improved. The music signals and the bioelectrical stimulation signals are combined and are coupled in rhythm and phase, so that the physiotherapy effect can be enhanced, music and bioelectrical stimulation parameters are dynamically adjusted according to the real-time physiological state of a patient, and the physiotherapy effect is improved. And the accuracy and adaptability of the physiotherapy process can be ensured.

The invention relates to a liquid metal-hydrogel bioelectrode and a preparation method thereof.According to the preparation method, a hydrophilic polymer serves as a base material for electrostatic spinning, a hydrophilic fibrofelt with the thickness ranging from hundreds of nanometers to hundreds of micrometers can be obtained, and after crosslinking treatment, the liquid metal-hydrogel bioelectrode is obtained. Liquid metal is printed on a cross-linked hydrophilic fiber felt to construct a conductive network to form a liquid metal-hydrophilic polymer composite felt, in-situ rapid gelation can be realized through an interface solution to obtain a liquid metal-hydrogel biological electrode, and the liquid metal-hydrogel biological electrode is prepared through an on-demand gelation mechanism. The technical problems of preparation, storage and attachment of a traditional ultrathin hydrogel electrode are solved, the thickness can be effectively reduced, the integrity of a conductive network can be effectively kept, and the obtained liquid metal-hydrogel biological electrode integrates the dual advantages of an ultrathin dry electrode and a wet electrode and has the characteristics of excellent conformal attachment and low interface impedance.

The invention provides an intelligent compression device and method for maintaining the internal fistula function of a hemodialysis patient, and belongs to the technical field of intelligent compression. The device comprises a CMUT ultrasonic array, an errhysis sensor, a bioelectricity monitoring module, an infrared temperature sensing array, an AI intelligent decision module, a dynamic pressure adjusting system, an energy field intervention module and a microneedle drug delivery module. Through space-time alignment collection of multi-modal data, dynamic parameter optimization of an AI model and rapid cooperative response of an actuator, the internal fistula compression is spanned from experience dependence to accurate intelligence, and the hemostasis efficiency and the blood vessel protection effect are remarkably improved.

The invention provides a flexible wearable multi-physiological-parameter monitoring device, and relates to the technical field of wearable medical instruments.The garment body comprises a flexible conductive fiber layer, a sensing center layer and an elastic protection layer which are attached to the human body; the sensor module in the sensor central layer is connected with the control module, and the power supply module is connected with the sensor module and the control module; the sensor module collects bioelectricity signals of a human body and transmits the bioelectricity signals to the control module, and the control module analyzes and processes the bioelectricity signals to obtain physiological parameters; a sensor in the sensor module is made of a flexible electronic material, the sensor module comprises a body temperature acquisition module, a blood pressure and blood oxygen acquisition module and an electrocardio acquisition module, and the blood pressure and blood oxygen acquisition module acquires a blood pressure signal and a blood oxygen signal by utilizing a photoelectric volume pulse wave tracing method. The equipment is high in integration level, comprehensive and dynamic monitoring of human health indexes is achieved, the accuracy of physiological parameter reading and monitoring result obtaining is improved, the wearing comfort is improved, and the equipment is suitable for the outdoor environment.

The invention relates to a main and collateral channel nursing instrument based on bioelectricity, which is applied to the field of physical therapy and is characterized in that a magnetic current sensor is used for monitoring the electrifying current condition of each electrode plate and skin, and when a certain area of conductive hydrogel is in poor contact with the skin, the area can be subjected to micro-regulation and control; the area is pressed downwards through the skin pressing device to be in close contact with the skin, skin burning caused by too high local current density due to poor contact is effectively avoided, and when the energizing current of the electrode plate is too high, the conductive hydrogel can be quickly separated from the skin through the magnetic attraction effect of the electromagnetic ring on the hanging barrel, so that the skin is prevented from being damaged due to too high current; in addition, when power supply current of the nursing instrument body to all the electrode plates is too high, the negative voltage electrode box can directly fall off from the skin, and compared with a direct cutting-off mode in the prior art, the situation that equipment is damaged due to sudden interruption of the current can be effectively avoided.

The utility model relates to the technical field of biological information monitoring, and discloses a thin biological information monitoring device convenient to assemble, which comprises a flexible circuit board, a biological electrode and a flexible battery, an electronic element is arranged on the top surface of the flexible circuit board, the flexible battery is attached to the bottom of the flexible circuit board, the biological electrode is attached to the bottom of the flexible battery, and the flexible battery is located between the flexible circuit board and the flexible battery; a connecting end extends out of the peripheral side of the flexible circuit board, and the connecting end is bent and extends to one surface of the biological electrode along the peripheral side of the flexible battery; the connecting end is provided with a fifth power supply bonding pad group, and the flexible circuit board is electrically connected with the biological electrode through the fifth power supply bonding pad group; and a sixth power supply bonding pad group of the flexible circuit board is electrically connected with the flexible battery. According to the design, ultra-thin glue is adopted for attaching and packaging, the product size is reduced, the flexible circuit board layer, the annular flexible battery layer and the biological electrode layer are sequentially assembled in a laminated mode and electrically connected through the conductive bonding pad set, assembling is convenient, and the production efficiency is improved.

A permeable bioelectronic system comprising stretchable multilayered circuits comprising liquid metal (LM), and LM interconnects for bonding one or more inorganic electronic circuit components to the stretchable multilayered circuits.

The invention belongs to the technical field of medical consumable management, and particularly relates to an intelligent management system and method for medical high-value consumables and a storage medium, and the system comprises a management cabinet body, an authority management module, a bioelectricity recognition module, a short-term early warning module and a low-inventory early warning module. By introducing the authority management module, the bioelectricity identification module, the low-inventory early warning module and the like, automatic recording of consumable delivery and warehousing, automatic calculation of real-time inventory and automatic sending of early warning information are realized. For example, the low-inventory early warning module automatically calculates the current inventory according to the replenishment and use conditions of the consumables, and when the inventory is lower than the set minimum inventory, the low-inventory early warning is automatically sent to the warehouse keeper, so that the warehouse keeper can replenish the consumables in time, medical operation delay caused by insufficient inventory is avoided, and the management efficiency is greatly improved.

According to the invention, a bicontinuous phase conductive core-shell nanofiber membrane is applied to construction of a flexible neural electrode and a neural conduit, firstly, a bicontinuous phase conductive polymer system is constructed, and the system realizes a three-dimensional network in which an electric phase and a mechanical phase are respectively continuous, interpenetrating but independent; and the long-term technical problems of conductive component agglomeration, conductive path interruption and the like are effectively solved. And preparing the conductive nanofiber scaffold with a core-shell structure by taking a high-molecular polymer as a core layer material and a bicontinuous-phase conductive polymer system as a shell layer material through a coaxial electrostatic spinning method. The construction mode effectively establishes a stable, continuous and uniform electron conduction path, can realize effective nerve electrical stimulation and high-fidelity electrophysiological signal recording in vivo, and can be used as a nerve conduit to regulate and repair related bio-electricity signals in a nerve repair process, so as to accelerate regeneration and repair of nerves.

The invention discloses a preparation method of a flexible electronic device with specific wet adhesion capability, which comprises the following steps: dissolving acrylamide Am, methacrylic acid esterified gelatin GelMA and chitosan powder in an acetic acid solution, uniformly stirring, adding carboxylated multi-walled carbon nanotubes (MWCNTs) into the mixed solution, stirring uniformly, and drying to obtain the flexible electronic device with specific wet adhesion capability. Performing ultrasonic treatment, water bath treatment and degassing treatment to obtain a precursor solution; the preparation method comprises the following steps: mixing sodium monohydrogen phosphate and sodium dihydrogen phosphate, adding sodium bicarbonate, adding ammonium persulfate as an initiator, fully stirring, and degassing to obtain a gelling solution for inducing physical crosslinking of chitosan; selecting a material with carboxyl, amino and hydroxyl groups to manufacture a mold for polymer cross-linking molding; and mixing and stirring the precursor solution and the gelling solution, injecting into a prepared mold, placing at room temperature, and integrally forming to manufacture the flexible electronic device. The invention further discloses application of the flexible electronic device in preparation of a bioelectric sensor sensitive element and tissue repair.

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 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 intelligent body fat measurement, and provides a body composition parameter adaptive calibration method and system based on an intelligent body fat scale. The method comprises the following steps: acquiring real-time weight data and real-time bioelectrical impedance signals of a user and real-time temperature and humidity data of a current environment; based on a preset bioelectrical impedance model, in combination with the real-time weight data, the real-time bioelectrical impedance signal and the real-time temperature and humidity data, initial body composition parameters are calculated and obtained; performing feature extraction on the calibration training data set according to a preset adaptive calibration algorithm to construct a real-time calibration model according to the adaptive calibration algorithm; and inputting the currently collected real-time weight data, the real-time bioelectrical impedance signal and the real-time environmental parameters to a real-time calibration model, outputting calibration correction parameters, and performing adaptive calibration on the initial human body composition parameters according to the calibration correction parameters to obtain target human body composition parameters. According to the invention, a systematic solution is provided for accurate measurement of the intelligent body fat scale.

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.