86 results about "Electrode impedance" patented technology

The invention relates to the technical field of electroencephalogram signal processing, and provides a brain-computer AI glasses electroencephalogram signal multi-dimensional quality dynamic detection method, which comprises the following steps: preprocessing collected electroencephalogram signals; performing task frequency band component analysis on the channel signals subjected to the matrix rank analysis, and calculating a power proportion of a target frequency band; performing maximum gradient analysis on the channel signal, and calculating the maximum gradient value of the channel signal; performing root-mean-square analysis on the channel signal, and calculating a root-mean-square value of the channel signal; performing fluctuation amplitude analysis on the channel signal, and calculating a peak-to-peak value of the channel signal; performing brain hemisphere symmetry analysis on the left and right homologous channel signals, calculating the correlation and mean square error of the channel signals, and setting a dynamic threshold according to the frequency band of the channel signals; obtaining an electrode impedance value, and mapping the electrode impedance value into an impedance score through a preset exponential attenuation function; the final quality score of the channel is obtained, and dynamic detection and real-time score updating of the electroencephalogram signal quality are achieved.

The invention discloses a wafer cleaning liquid concentration dynamic monitoring system, and belongs to the technical field of semiconductor manufacturing. Aiming at the problems of large single parameter measurement error, poor equipment adaptability and frequent maintenance in the prior art, the invention provides a multi-physics field fusion detection scheme: acquiring ion concentration characteristics through a multi-frequency conductivity detection module (0.1 kHz to 10MHz), eliminating environmental interference in combination with a temperature-viscosity joint compensation module, and calculating the concentration of the ion in the multi-frequency conductivity detection module. An optical refractive index auxiliary verification module is used to realize cross verification, and a CNN-LSTM fusion model optimized by transfer learning is used to improve cross-device prediction precision. According to the innovativeness of the system, an anti-corrosion annular electrode array (titanium alloy iridium-plated) supports dynamic distance adjustment and pulse self-cleaning, an ultrasonic defoaming unit (1-3 MHz frequency self-adaption) restrains bubble interference, and a self-calibration module triggers online maintenance based on the conditions of the electrode impedance change rate (larger than or equal to 5%), temperature fluctuation and the like. Experiments show that the concentration measurement precision is improved to + / -0.5%, the HF / O3 rate ratio is controlled to be (1: 2.5 + / -0.3), the number of residual particles on the surface of the wafer is smaller than or equal to 5 per square inch, the service life of the electrode is prolonged to 8 months, and the yield is improved by 0.6%. The method is suitable for a wafer production line of 12 inches and above, and has the advantages of high precision, strong anti-interference and low maintenance cost.

The invention relates to the technical field of electromyographic signal analysis and processing, in particular to a low-delay electromyographic signal processing method based on multi-channel fusion, which comprises the following steps of: acquiring full-band electromyographic signals by using a surface electrode array, and screening channels by adopting a mode of combining a Pearson's correlation coefficient and mutual information; the method comprises the following steps: setting dual thresholds, combining signal strength and electrode impedance detection, then performing 20-500Hz Butterworth band-pass filtering, Z-Score standardization and normalization processing on screened signals to improve the signal quality, optimizing sliding window parameters through the Parseval theorem and a dynamic time warping algorithm, balancing the real-time performance and the feature extraction effect, and improving the accuracy and the accuracy of feature extraction. And finally, time domain, frequency domain and time-frequency domain multidimensional features are extracted in each time window, and feature vectors are generated through principal component analysis and linear discriminant analysis fusion and dimension reduction. The invention aims to solve the problems of poor real-time performance and low feature identification degree of the existing electromyographic signal processing method.

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

The invention provides an early warning system and method for a radial artery compression hemostat based on multiple sensors, and belongs to the technical field of complication early warning. The method comprises the steps that S1, multiple types of physiological signals of a radial artery compression area are synchronously collected and subjected to digital processing; s2, discrete wavelet transform is carried out on the proximal end temperature and the telecentric end temperature; performing time domain analysis on the pulse signal, and extracting to obtain pulse amplitude; s3, constructing a temperature distribution model of the compression area based on the temperature difference signal; s4, the resistivity distribution of the compression area is reconstructed through the electrode impedance signal, and the errhysis position is positioned; s5, calculating a pressure change rate based on the pressure digital signal; calculating a pulse amplitude attenuation rate based on the pulse amplitude; and fusing the pressure change rate, the temperature gradient vector, the pulse amplitude attenuation rate and the errhysis index through a weighted summation formula to obtain a comprehensive risk value. According to the invention, through multiple types of sensors, the complication related parameter coverage rate is improved, and the complication early warning timeliness and accuracy are improved.

The invention provides a high-capacity silicon-carbon composite negative electrode material and a preparation method thereof, and relates to the technical field of battery materials, the high-capacity silicon-carbon composite negative electrode material comprises the following components by mass: 20-50 parts of silicon-based particles, 3-8 parts of an interface modification layer, and 45-75 parts of a carbon matrix; the silicon-based particles are nano silicon; the interface modification layer is oxide or nitride and coats the surfaces of the silicon-based particles; the carbon substrate is prepared from 20 to 40 parts of graphite, 15 to 25 parts of amorphous carbon and 5 to 10 parts of carbon nanotubes; through the three-layer structure of the silicon-based particles, the interface modification layer and the carbon substrate, the cooperation of high capacity and high stability is realized, and the nano silicon-based particles give full play to the advantage of high capacity, so that the first discharge specific capacity of the material is higher; the interface modification layer reduces interface impedance of silicon and carbon and inhibits side reaction of silicon and electrolyte; the three-dimensional network of the carbon matrix not only reduces the electrode impedance, but also provides buffering for silicon volume expansion, and is obviously superior to the traditional graphite and the existing silicon-carbon negative electrode.

The invention discloses a fatigue driving intervention method and system based on head electric pulse stimulation, and relates to the technical field of fatigue driving intervention, and the method comprises the steps: collecting the scalp micro-motion frequency and scalp-electrode impedance change of a driver through a head-mounted sensing device, and obtaining an original physiological state signal; calculating a current fatigue index according to the original physiological state signal, wherein the reduction of scalp micro-motion frequency and the increase of impedance fluctuation amplitude respectively correspond to the increase of fatigue degree and the aggravation of attention distraction; continuously comparing the fatigue index with a dynamically adjusted physiological threshold, and when the fatigue index exceeds the physiological threshold and maintains a preset duration, generating a first intervention triggering condition; and whether a second intervention triggering condition or a third intervention triggering condition is generated or not is judged by combining an intervention mode preset by a user, the continuous running time of the vehicle and a manual triggering instruction, and an intervention enabling signal is output based on the logic relation of the first intervention triggering condition, the second intervention triggering condition and the third intervention triggering condition.

This invention discloses a flexible multichannel multilayer electrode, its fabrication method, and an electromyography (EMG) signal acquisition device. The fabrication method of the flexible multichannel multilayer electrode includes the following steps: etching and cleaning a silicon wafer; preparing an AgNW / NG solution as a conductive material and using SEBS powder to prepare an elastic substrate; fabricating a signal acquisition layer using the silicon wafer, conductive material, and SEBS powder; fabricating a wire shielding layer using the silicon wafer and SEBS powder; and fabricating an encapsulation layer and an interference signal shielding layer using the silicon wafer, conductive material, and SEBS powder; assembling the encapsulation layer, interference signal shielding layer, signal acquisition layer, and wire shielding layer sequentially from top to bottom, and connecting the signal acquisition layer to a flexible printed circuit board. This invention aims to solve the problems of high electrode impedance, low signal-to-noise ratio, and poor tensile strength of multichannel electrodes.

The invention discloses an integrated impedance measurement system adaptive to a biological signal acquisition front end. The integrated impedance measurement system comprises a sine wave current generator, a band-pass filter, an amplifier module BPFA, a multiplexer and an analog-to-digital converter ADC which are communicated in sequence, the sine wave current generator is used for generating low-amplitude alternating current for measuring tissue-electrode impedance, and the alternating current acts on a measured electrode to generate corresponding alternating voltage; the band-pass filter and amplifier module BPFA is used for amplifying and filtering the AC voltage; an analog-to-digital converter (ADC) receives the amplified and filtered alternating voltage through a multiplexer to perform digital signal conversion, and tissue-electrode impedance measurement of the measured electrode acting on the tissue is completed; according to the invention, the amplitude of the AC voltage is controlled to accurately adapt to the + / -5mV input range of the existing acquisition front end, and the amplification and filtering modules are directly multiplexed to complete impedance signal processing without additionally configuring a special analog front end for impedance measurement, so that the integration level and the stability of a chip are improved.

The invention relates to an electroencephalogram signal preprocessing method and a related device thereof.The method comprises the steps that initial electroencephalogram signals collected by a multi-channel electrode array and at least one kind of auxiliary data collected synchronously with the initial electroencephalogram signals are obtained, and the auxiliary data comprise electrode impedance values and / or physiological state data; wherein the resistance reactance value indicates an electrode impedance value corresponding to the acquisition channel associated with the initial electroencephalogram signal, and the physiological data at least comprises motion posture data and / or physiological index data; performing multiple filtering processing on the initial electroencephalogram signal to obtain a filtered electroencephalogram signal; inputting the filtered electroencephalogram signals and at least one kind of auxiliary data into a signal restoration model, and optimizing the candidate electroencephalogram signals to obtain optimized target electroencephalogram signals. According to the scheme, the electroencephalogram signals can be preprocessed by dynamically adjusting the filtering parameters and utilizing the impedance value and the auxiliary data, and the quality of the electroencephalogram signals is improved.

The invention provides a bio-electricity signal and electrode impedance acquisition system and method, and relates to the technical field of bio-electricity signal acquisition and processing. According to the specific technical scheme, the integrated bio-electricity signal acquisition chip is used for generating an alternating current excitation signal with a specific frequency and a fixed amplitude through an internally integrated excitation source; continuously applying an alternating current excitation signal to one or more target electrodes through an internal analog switch array; the integrated bio-electricity signal acquisition chip is used for acquiring a mixed digital signal from a target electrode, and the mixed digital signal is formed by superposing a bio-electricity signal, a noise signal and an impedance response signal generated by an alternating current excitation signal on target electrode impedance; and the microcontroller unit is used for extracting electrode impedance information from the mixed digital signal and recovering the bio-electricity signal.

The invention provides a lower electrode assembly, semiconductor process equipment and a process method, and the lower electrode assembly comprises a bearing part which is used for bearing a wafer; the adjusting electrode is arranged in the bearing part, and the adjusting electrode comprises a plurality of sub-electrodes arranged in the same plane; the impedance adjusting device comprises a plurality of impedance adjusting units, all the impedance adjusting units and all the sub-electrodes are correspondingly arranged and electrically connected, and each sub-electrode and the corresponding impedance adjusting unit are used for being connected between a radio frequency power supply and the ground to form a radio frequency sub-loop; and the impedance adjusting unit is used for changing the impedance of the corresponding radio frequency sub-loop so as to change the current in the corresponding radio frequency sub-loop. According to the lower electrode assembly, the impedance adjusting units and the sub-electrodes are arranged, so that a plurality of radio frequency sub-loops which are connected in parallel can be formed, the process rate of each area is adjusted, the process rate of each area is consistent, and the uniformity of the process rate is improved.

The application provides a kind of early warning system and method of radial artery compression hemostat based on multiple sensors, belongs to complication early warning technical field.The method comprises the following steps: S1, multiple types of physiological signals in the radial artery compression area are synchronously collected and digitized;S2, the temperature at the proximal end and the temperature at the distal end are subjected to discrete wavelet transform;the pulse signal is subjected to time domain analysis, and the pulse amplitude is extracted;S3, a temperature distribution model of the compression area is constructed based on the temperature difference signal;S4, the resistivity distribution of the compression area is reconstructed through the electrode impedance signal, and the bleeding position is located;S5, the pressure change rate is calculated based on the pressure digital signal;the pulse amplitude attenuation rate is calculated based on the pulse amplitude;the pressure change rate, the temperature gradient vector, the pulse amplitude attenuation rate and the bleeding index are fused through a weighted summation formula, and a comprehensive risk value is obtained.The application improves the complication-related parameter coverage rate through multiple sensors, and improves the timeliness and accuracy of complication early warning.

The invention discloses a pole piece, a battery and electric equipment, the pole piece comprises a pole piece main body and at least one tab connected with the pole piece main body, the pole piece main body comprises a current collector and an active material coated on the surface of the current collector, the pole piece main body comprises at least two areas in a first direction, and the active materials coated on the at least two areas are different; the at least two regions include a distal region distal from the tab, the active material of the distal region including secondary particles, where the secondary particles are formed from a plurality of primary particles. According to the pole piece, the battery and the electric equipment provided by the invention, the electrode pole piece led out from the same side of the tab is divided into at least two regions, the at least two regions comprise the far-end region far away from the tab, and the active material of the far-end region comprises the secondary particles formed by the primary particles; the problem of uneven distribution of current density and electrode impedance of the side close to the tab and the side far away from the tab in the electrode led out from the same side of the tab can be solved, so that the electrochemical performance of the electrode is improved.

A method for optimizing stimulation for a patient having a stimulator device, such as a deep brain stimulation (DBS) device, is disclosed that involves taking into account tissue imaging information in the environment around a lead. Test stimulation is provided at initial combinations of lead position and stimulation parameters, such as amplitude values, wherein the patient is scored for each combination. One or more objective criteria are measured and scored. The objective criteria may be electrode impedance and / or pressure indicators, such as cardiac signals. The process is iteratively repeated until a stop criterion is met. The lead position in question may be a longitudinal or rotational position about the lead, and if the lead is essentially oriented, preferably both.

Information from sense channels connected to multiple electrodes, in addition to information from a sense channel connected to a single electrode, provides additional functionality to the connected device. [Solution] The computer implementation method includes measuring a first electrode impedance signal associated with a first electrode using a first sense channel. The method further includes measuring a second electrode impedance signal associated with at least a second electrode and a third electrode using a second sense channel, wherein the second and third electrodes are electrically connected to each other but not to the first electrode. The method further evaluates tissue contact / proximity based on the first electrode impedance signal and the second electrode impedance signal.

The invention relates to the technical field of coating performance testing, and discloses a coating rheological property testing method based on a micro-fluidic chip, which comprises the following steps: providing the micro-fluidic chip on which a shear failure area and a dynamic evolution observation area which are communicated in sequence are integrated, an on-way programmable micro heater, a micro acoustic transducer and a microelectrode impedance spectroscopy array are cooperatively integrated in the dynamic evolution observation area; driving the coating sample to flow through the area at a preset volume flow rate; when a sample flows through the dynamic evolution observation area, acoustic signals and electrical impedance spectroscopy signals at different positions are synchronously collected. Through correlation analysis of evolution of the two characteristic parameters along with time and temperature, the technical problems that a real high-shear working condition cannot be simulated and multi-dimensional in-situ characterization is difficult to perform in the prior art are solved, and trace, rapid and high-resolution dynamic monitoring of the coating structure recovery process is realized.

Embodiments disclosed include an electrosurgical system as well as a method. The electrosurgical system and the method (are configured to determine an electrode type (T1, T2, T3) of a neutral electrode by applying an alternating measurement signal to the neutral electrode at least at two different measurement frequencies (f1, f2). At each measurement frequency (f1, f2) an impedance absolute value (ZNabs) or a phase value (φ) or both is determined for the neutral electrode impedance (ZN) of neutral electrode. When at least one impedance absolute value (ZNabs) and at least one phase value (φ) is determined, and based on the at least one impedance absolute value (ZNabs) and the at least one phase value (φ), the electrode type (T1, T2, T3) of the connected neutral electrode is determined by comparison with known comparison values for the at least one impedance absolute value (ZNabs) and the at least one phase value (φ).

A battery cell, a battery, an electrical apparatus, and a battery cell core, belonging to the technical field of batteries. When the length-width ratio m of a positive electrode sheet satisfies 1 ≤m≤6 and the compaction density ρ of a positive electrode active material layer satisfies 3.3 g / cm3≤ρ≤3.7 g / cm3, the mass ratio of single-crystal particles of the positive electrode active material is controlled to be no less than 50%, and the porosity of the positive electrode active material layer is controlled to be 23% to 33%. Since single-crystal particles are less prone to fracture during cold pressing and long-term charging / discharging processes, excessive active specific surface area is not exposed compared to polycrystalline particles, thereby reducing side reactions with an electrolyte and reducing the increase of positive electrode impedance in a battery. Moreover, the occurrence of the situation in which an effective conductive network cannot be established at a new interface due to material particle fracture is reduced, so that the phenomenon of local potential increase caused by a particle "island" formed by the positive electrode active material is prevented, thereby achieving mitigation of the DCR in a battery cell core and mitigation of the electrode sheet resistance of a high-energy-density battery cell core.

The application discloses a nerve microelectrode with long-term biocompatibility maintenance and a preparation method thereof. Most of the existing nerve electrodes have only a few recording points, so that the spatial resolution is low; the flexible electrode implantation has a large width, so that more trauma areas are caused. The nerve microelectrode with long-term biocompatibility maintenance for nerve recording comprises a recording layer, an electrochemical modification layer and a biocompatibility coating. The preparation of the biocompatibility polypeptide coating is realized by adopting a MEMS compatible PVD technology, so that the preparation efficiency and consistency of the electrode are greatly improved. The biocompatibility coating which completely covers the electrode points and the whole probe surface has a special porous nanofiber structure and can realize ion conduction. The electrode point recording performance is improved by using the electrochemical modification layer, so that the biocompatibility is improved without seriously affecting the electrode impedance and recording capacity.

The invention provides a negative electrode plate and a secondary battery thereof, the negative electrode plate comprises a negative electrode current collector and a negative electrode active material layer, and the negative electrode active material layer is arranged on at least one side surface of the current collector; the negative electrode active material layer comprises a negative electrode active material, and the negative electrode active material comprises at least one of a carbon material, a silicon carbon material and a silicon material; the negative electrode active material is low-hardness particles or high-hardness particles, the low-hardness particles meet the condition that (T-Z) / G is smaller than or equal to 0.4, and the high-hardness particles meet the condition that (T-Z) / G is larger than 0.4; the compaction density P of the negative electrode active material layer meets the following relational expression: < = < =; 0.9 g / cm < 3 > < = T < = 2.0 g / cm < 3 >, 0.8 g / cm < 3 > < = P < = 2.0 g / cm < 3 >, 0.8 g / cm < 3 > < = Z < = 1.2 g / cm < 3 >, and 1.4 g / cm < 3 > < = G < = 2.4 g The negative electrode plate provided by the invention has good electron and ion migration channels and low impedance, the cycle performance and rate capability of the battery are improved, and the cycle stability of the battery is improved.

A method is provided for measuring the impedance of a pH sensor electrode. The method includes applying a positive voltage pulse to the pH electrode and taking a plurality of samples of the sensor voltage response and, from those samples, estimating the impedance of the sensor electrode. Then, a negative voltage pulse width is dynamically adjusted to cancel out the induced charges from the positive voltage on the pH sensor so that the sensor quickly recovers to read subsequent media pH levels.

The invention relates to an intelligent microbial electrode impedance analysis device, which belongs to the technical field of electrochemical impedance spectroscopy analysis, and comprises a three-electrode system used for collecting microbial impedance signals; the response signal acquisition and conditioning module is used for preprocessing the acquired microbial impedance signal; the self-adaptive digital phase-locked amplification module adopts a synchronous orthogonal digital demodulation technology and utilizes known excitation signal digital phase information to generate an orthogonal reference signal, extract amplitude and phase information of an impedance response signal, perform self-adaptive noise suppression and decouple core parameters; the reinforcement learning optimization unit is used for evaluating a current measurement state and selecting a next frequency step length; the self-adaptive excitation module is used for generating a sine excitation voltage signal and outputting the sine excitation voltage signal to the three-electrode system; and the data display module is used for displaying the impedance spectrum and the Rct curve.

The invention provides a pulse field ablation evaluation method and system based on impedance change and a related product, objective quantitative evaluation of a catheter attaching state is realized through impedance measurement, and dependence on experience of an operator is reduced; the electrode space state is deduced based on multi-electrode impedance distribution, and a basis is provided for multi-electrode discharge mode selection; electrical evaluation of the ablation effect is realized through impedance change analysis before and after ablation; the system does not depend on an external three-dimensional mapping or image system, the system structure is simplified, and the applicability is high; the device can be compatible with an existing pulse field ablation host and catheter structure, and engineering implementation is facilitated.

The application discloses an integrated filtering and ozone disinfection double-mode water tank water outlet device, which comprises a base, a inner sleeve fixed in the base, an ozone generator fixed in the inner sleeve, a shell fixedly connected to the top of the inner sleeve, a filter element arranged in the shell, a cover covering the shell, a threaded sleeve extending upwards and downwards and fixed to the lower end of the base, and a water inlet pipe and a water outlet pipe both extending upwards and downwards and penetrating through the threaded sleeve. The water tank water outlet device can be directly installed in the original washing liquid hole of the water tank, realizes the integration of filtering and ozone disinfection double functions without changing the original cold and hot water faucet layout, the metal-based BDD electrode has extremely small resistance, which is beneficial to reducing the overall electrode impedance, the metal-based BDD electrode has a stable passivation layer and can keep low background current for a long time, and the metal-based BDD electrode has a wide current use range and can perform long-term and high-efficiency electro-oxidation reaction.

The invention discloses an all-solid-state lithium-sulfur battery three-dimensional elastic conductive positive electrode frame structure material and a preparation method thereof, and belongs to the technical field of all-solid-state lithium-sulfur batteries. According to the invention, a solid and elastic three-dimensional cross-linked network is formed in the positive electrode by using a natural linear high-molecular polymer sodium alginate, a two-dimensional nano high-conductivity material MXene, Li6PS5Cl and powdered sulfur in a ball milling manner. The elastic three-dimensional network can effectively bear stress generated in circulation and relieve volume change caused by reaction. In addition, by reducing the ball milling time and completely abandoning the traditional conductive additive carbon material, the adverse effect on the cycle performance caused by sulfide electrolyte decomposition is effectively avoided. Therefore, excellent electron and ion transmission performance can be achieved, meanwhile, the influence of electrolyte decomposition on electrode impedance increase and cycle performance deterioration is avoided, and long-term and stable cycle performance is achieved under the condition that the sulfur mass content is 40%.

The invention discloses a dry electrode automatic pressure adjusting device of a whole-brain multi-channel bioelectricity acquisition system, and relates to the technical field of x-brain external equipment. The dry electrode automatic pressure adjusting device of the whole-brain multichannel bioelectricity acquisition system comprises an external controller, a connecting pipe and a head-mounted device, and the external controller is connected with the head-mounted device through the connecting pipe. The pressure guarantee is enhanced for the depression-related frontal lobe region through the air bag grouping structure; pneumatic worst electrode impedance priority control is carried out, and effective contact of all electrodes is ensured by taking the optimal impedance of the electrodes in the areas as an adjusting reference; the symptoms of insomnia, anxiety and fatigue are treated according to the principle that controllable pressure is used for massaging and stimulating scalp; the TPU honeycomb bracket and the buffer air cavity solve the problem of collapse of the equipment when the equipment is not inflated; only the air bag and the pressure sensor are worn on the head, which is light and convenient and low in cost.

The application discloses a semiconductor process equipment, and relates to the semiconductor field. The semiconductor process equipment comprises a process chamber, a first radio frequency feeding piece, a second radio frequency feeding piece, a first matching device and an impedance adjustable device. The process chamber comprises a cavity and a bearing device. One end of the first radio frequency feeding piece penetrates into the cavity and is connected with the bearing device. The other end of the first radio frequency feeding piece penetrates into the impedance adjustable device. One end of the second radio frequency feeding piece penetrates into the impedance adjustable device and is slidably connected with the other end of the first radio frequency feeding piece. The other end of the second radio frequency feeding piece is connected with the first matching device. The impedance adjustable device is connected between the first matching device and the cavity, and is used for adjusting the distance between the first matching device and the cavity, so as to adjust the impedance of a lower electrode in the semiconductor process equipment. The application can solve the problem of poor lower electrode impedance adjustment in the prior art.

The application relates to the technical field of electroencephalogram signal processing, and provides a multi-dimensional quality dynamic detection method for electroencephalogram signals of brain-computer AI glasses, which comprises the following steps: preprocessing collected electroencephalogram signals; performing task frequency band component analysis on channel signals through matrix rank analysis, calculating the power proportion of a target frequency band; performing maximum gradient analysis on the channel signals, calculating the maximum gradient value of the channel signals; performing root mean square analysis on the channel signals, calculating the root mean square value of the channel signals; performing fluctuation amplitude analysis on the channel signals, calculating the peak-to-peak value of the channel signals; performing brain hemisphere symmetry analysis on left-right homologous channel signals, calculating the correlation and mean square error of the channel signals, and setting a dynamic threshold value according to the frequency band of the channel signals; obtaining an electrode impedance value, mapping the electrode impedance value into an impedance score through a preset exponential decay function; and obtaining a final quality score of the channel, so that dynamic detection and real-time score updating of the electroencephalogram signal quality are realized.

The invention discloses a corn kernel invisible damage four-electrode impedance online detection and sorting device and method based on single granulation and self-adaptive positioning. The device comprises a feeding unit, a multi-column conveying unit, a parallel detection unit and a synchronous sorting unit. The feeding unit realizes ordered arrangement and single-row output of grains through shunting and directional shaking; the plurality of rows of conveying units synchronously complete posture correction and distribution uniformity improvement of the grains based on the U-shaped sliding groove design; the parallel detection unit forms passive self-adaptive positioning and stable electric contact with circumferential arc electrode lobes / insulation lobes through a spherical crown insulation core column, a control system dynamically selects four arc electrode lobes from six electrode lobes to implement four-electrode impedance spectroscopy measurement, characteristic parameters are extracted, and damage is judged; and the damaged grains are blown into a defective product container at the sorting point according to a delay trigger nozzle. The method realizes real-time, lossless and high-precision detection of the invisible damage of the corn kernels, and has the comprehensive advantages of high throughput and high efficiency.