23 results about "Signal interpretation" patented technology

The invention belongs to the technical field of medical instrument detection, and particularly relates to a method for rapidly detecting EO residual quantity in a sterilized medical instrument, which comprises the steps of sample acquisition, rapid extraction, specific color development or signal reaction, signal interpretation and content quantification, process parameter control and the like. And parameters of each link are optimized according to the characteristics of different types of sterilized medical instruments, and meanwhile, perfect quality control and calibration measures are set, so that the EO residual quantity is rapidly, accurately and simply detected, the accuracy and reliability of a detection result are effectively improved, and the method has a wide application prospect.

One variation of a method includes: accessing an audio feed captured by an audio sensor integrated within a training apparatus deployed in an environment and configured to dispense units of a treat into a working field in the environment; detecting a bark event at a first time based on audible signals extracted from the audio feed; in response to detecting the bark event, based on environmental signals extracted from the audio feed, interpreting a set of environmental data representing conditions of the environment at the first time; selecting an intervention action, in a set of intervention actions, configured to mitigate the bark event; triggering the training apparatus to dispense units of the treat according to the intervention action; predicting an environmental trigger for the dog based on the bark event and the set of environmental data; and storing the environmental trigger in a dog profile generated for the dog.

This invention provides an automated evaluation system for vibration monitoring signals of aerospace products, comprising: a raw signal parsing module, a data preprocessing module, a signal parameter configuration module, a signal interpretation and evaluation module, and an evaluation conclusion output module. The raw signal parsing module parses unreadable raw data packets into a program-readable data format; the data preprocessing module eliminates signal start-time errors and performs filtering; the signal parameter configuration module configures parameters for single and related signals, forming a parameter configuration library; the signal interpretation and evaluation module evaluates the waveform similarity of single signals based on a cross-correlation normalization algorithm and interprets the time sequence relationship of related signals; the evaluation conclusion output module displays the evaluation results on a software interface. This invention achieves automated evaluation of vibration monitoring signals of aerospace products, replacing manual interpretation, improving evaluation efficiency and reliability, and possessing good versatility and scalability.

The embodiment of the invention discloses a laryngeal electromyographic signal interpretation method and system based on self-supervision joint coding prediction, a medium and equipment. The method comprises the steps that a laryngeal electromyographic signal data set and a corresponding instruction label are acquired; decomposing the signal into low-frequency and high-frequency components through wavelet transform; randomly generating a mask component for masking to obtain a visible group and a mask group; respectively extracting visible component features, target signal component features and mask vector features; performing joint coding on the mask vector feature and the visible component feature to obtain a target signal component prediction feature, and performing joint coding on the target signal component feature and the visible component feature to obtain a mask vector prediction feature; training a signal encoder based on the predicted and real features; combining the trained signal encoder with a classification module to construct an interpretation model and performing fine tuning training; the to-be-interpreted electromyographic signals are input into the fine-tuned signal interpretation model, a classification result is output, efficient feature learning is achieved through self-supervised joint coding prediction, and the generalization ability of the model is improved.

The invention discloses a control instruction generation method based on a multi-mode electroencephalogram signal, and relates to the technical field of man-machine interaction. According to the method, eight paths of electroencephalogram signal detection and three-axis gyroscope attitude detection are creatively fused, and the method is realized through multi-modal signal fusion and a unique algorithm, so that the problems of signal interpretation limitation, control instruction limitation, single information dimension and the like existing in pure electroencephalogram signal control and single sensor control in the prior art are solved. According to the method, the intention of the user can be more comprehensively and accurately interpreted, richer and more accurate control instructions can be generated, the control precision and flexibility are improved, the application scene is expanded, the user experience is improved, the system robustness is enhanced, and the method has important practical significance and application value and has remarkable progress compared with the prior art.

This application relates to the field of molecular pathology diagnostic technology, specifically disclosing a bone marrow smear FISH detection kit and its application. The kit includes a rapid hybridization buffer, a stabilization pretreatment solution, room temperature hybridization probes, probe dilution buffer, low-salt washing buffer, high-salt washing buffer, counterstaining solution, positive control samples, and negative control samples. The room temperature hybridization probes include broken probe pairs targeting the BCR-ABL, PML-RARA fusion genes, and IgH gene rearrangements. The detection method of this kit includes sample pretreatment, probe denaturation, room temperature hybridization, washing and counterstaining, and signal interpretation. Through the synergistic effect of the rapid hybridization buffer and the short-chain low-Tm value probes, rapid hybridization at room temperature is achieved, eliminating the need for a dedicated isothermal hybridization instrument. The stabilization pretreatment solution can complete cell permeation and RNA removal in one step, resulting in a high degree of operational standardization.

A control device associated with an autonomous vehicle detects that a person is changing traffic on a road using a gesture signal. The control device determines an interpretation of the gesture signal. The control device transmits a gesture signal interpretation to a supervision server. The supervision server verifies the gesture signal interpretation and transmits instructions for navigating the autonomous vehicle in accordance with the verified gesture signal interpretation. The control device determines a suggested trajectory for the autonomous vehicle based on the interpretation of the gesture signal. The control device navigates the autonomous vehicle according to the suggested trajectory.

The invention relates to the technical field of industrial automation equipment detection and maintenance, in particular to a portable industrial equipment detection method and device with a charging function. The method comprises a power supply mode switching step, an equipment connection and configuration step, a signal processing and conversion step and a result presentation and diagnosis step. According to the invention, the method flow is standardized, dispersed operations depending on personal experience are integrated into a standardized flow covering power supply, wiring, testing and diagnosis, and the reliability and efficiency of detection are greatly improved. The method of switching power supply through a built-in battery thoroughly gets rid of the dependence on a field fixed power supply, and equipment detection at any place and under any working condition is realized. Complex signal interpretation and conversion work is automated, an engineering value is automatically displayed, a standard signal is output, the technical threshold is remarkably reduced, and man-made misjudgment is avoided.

One variation of a method includes: accessing an audio feed captured by an audio sensor integrated within a training apparatus deployed in an environment and configured to dispense units of a treat into a working field in the environment; detecting a bark event at a first time based on audible signals extracted from the audio feed; in response to detecting the bark event, based on environmental signals extracted from the audio feed, interpreting a set of environmental data representing conditions of the environment at the first time; selecting an intervention action, in a set of intervention actions, configured to mitigate the bark event; triggering the training apparatus to dispense units of the treat according to the intervention action; predicting an environmental trigger for the dog based on the bark event and the set of environmental data; and storing the environmental trigger in a dog profile generated for the dog.

A timing controller suitable for providing image data and control signals to a display panel includes at least one dedicated controller configured to instruct the display panel to perform a specific operation; and a dedicated processor configured to store at least one communication-dedicated instruction, interpret, according to a communication signal designating an operation area of a communication-dedicated instruction received from an external or internal general processor, the communication-dedicated instruction within the operation area, sequentially transmit communication request signals to the corresponding dedicated controller, sequentially receive communication completion signals from the dedicated controller, and transmit an operation completion signal to the general processor when a communication completion signal for the communication-dedicated instruction of the operation area is finally received.

The invention discloses a strip mine wide-area deformation field monitoring method based on flexible photonic crystal coding, and belongs to the technical field of strip mine slope safety monitoring. A'sandwich 'heterostructure is adopted, the flexibility, environmental tolerance and long-term stability of the sensor are improved, the problems that a traditional optical fiber sensor is prone to damage and high in cost are solved, and the sensor is suitable for complex working conditions of strip mines. By adopting a roll-to-roll micro-nano imprinting large-scale production process, high-efficiency and low-cost batch production of the sensing belt is realized, which is far lower than that of a traditional fiber grating sensor, and the sensor has economical efficiency of large-scale application. A'spectrum-space 'dual coding mechanism is adopted, high-precision space positioning and temperature self-compensation are realized, measurement errors caused by temperature are reduced, and the anti-interference capability and data reliability of the system are improved. A multi-physics coupling deformation-optical interpretation model and an extended Kalman filtering processing flow are established by using a signal interpretation algorithm, and collaborative decoupling of multiple factors such as strain, temperature and stress is realized.

The invention provides a multi-signal interpretation and detection assembly combined system control method, which comprises the following steps: S1, power-on self-test: firstly, carrying out self-test initialization, and then carrying out self-test on the validity of input and output signals and a short-distance detection instruction; s2, binding in corresponding modes: carrying out mode binding through serial port communication, wherein selectable binding modes comprise a close-range response mode, a trigger response mode and a non-mode; s3, instruction identification; and S4, signal identification. According to the invention, by optimizing the power-on mode of the detection assembly and the interpretation mode of the short-distance detection instruction, the problem that the system outputs energy in advance due to the influence of false alarm, fault or electromagnetic interference during short-distance detection in the prior art is solved; and the system control with high reliability, self-adaptability and safety is realized.

The invention discloses a preparation method of a diagnostic fluorescent probe adaptive to multiple detection. According to the method, a nano-carrier with a reactive functional group on the surface is used as a framework material, Alexa Fluor 488 and Alexa Fluor 568 are covalently constructed on the same nano-carrier to form a double-fluorescence ratio type coding structure, and biological recognition molecules are coupled in a modular manner, so that the diagnosis fluorescent probe capable of outputting a fluorescence intensity ratio signal is obtained. A ratio type signal interpretation mechanism is adopted, so that the influence of probe dosage fluctuation, exciting light drift and sample matrix difference on a detection result is effectively reduced; through stabilizing treatment such as surface passivation, colloid stabilization and biological activity protection, the dispersity and signal consistency of the fluorescent probe in the storage and use process are improved. The prepared fluorescent probe has good stability, universality and anti-interference capability, and is suitable for various in-vitro diagnosis application scenes such as immunoassay, flow cytometry and multi-channel imaging.

The application relates to the technical field of intelligent detection, and specifically discloses a multi-attribute unsupervised clustering mud film identification method based on ground penetrating radar real-time monitoring, which is based on real-time monitoring ground penetrating radar data and pressure data, first builds a unified time reference for the test process with the aid of time markers, then limits the real horizon range through key stratification interface anchor points and phase axis tracking, extracts signal characteristic attributes and dielectric constant parameters and constructs a multi-attribute characteristic space on this basis, then combines the interface anchor points to perform unsupervised clustering division of the characteristic data with space constraints, finally identifies the interface evolution track, the mud film state and the time node according to the clustering result, and jointly verifies the pressure mutation inflection point, so that the mud film identification is changed from a single signal interpretation depending on artificial experience into an automatic identification process facing multi-source data and taking into account the time sequence constraints and physical meanings, and the stable and accurate identification of the mud film stratification structure and state evolution is realized.

The invention discloses a flexible strain sensor based on embedded 3D printing and a preparation method thereof, and belongs to the field of flexible electronic manufacturing. The method comprises the following steps: firstly, preparing a support matrix with a specific rheological gradient and oily conductive slurry; then integrally forming a two-dimensional or three-dimensional sensing structure, especially a three-dimensional non-communication structure capable of realizing multi-directional force decoupling, in the matrix through an embedded 3D printing process; and finally, performing intelligent processing and identification on the multi-channel resistance signal output by the sensor in combination with machine learning. According to the method, the problems of structure collapse, interface instability and complex signal interpretation in soft material printing are effectively solved, and the manufactured sensor has high precision, high stability and intelligent sensing capacity and can be widely applied to the fields of man-machine interaction, health monitoring, soft robots and the like.

An apparatus (100) includes a high voltage amplifier (120) to amplify a burst signal (115), and is coupled to a driver circuit (128) to drive a piezoelectric actuator (150). During the on-time of the burst signal, a feedback circuit (190) may compensate for non-idealities in the system and may equalize the signal at the actuator and the output of the high voltage amplifier. During the turn-off time of the burst signal, a signal conditioning circuit (160) may sense a difference signal between the signal at the actuator and the signal at the output of the high voltage amplifier, and interpret the difference signal as a pressure applied to the piezoelectric actuator.

The invention discloses an intelligent inspection system for equipment in a hospital supply room, relates to the technical field of safety detection of medical equipment in the hospital supply room, and aims to solve the technical problems of insufficient result accuracy, difficulty in pollution tracing and conflict between equipment calibration and emergency treatment detection requirements in endoscopic pathogen detection in the current hospital supply room. The multi-pathogen parallel detection module is used for carrying out multi-pathogen parallel detection on endoscope surface eluent; the material adaptation analysis module is used for acquiring endoscope material information and judging the suitability of the detection reagent and the endoscope material; the AI interpretation module is used for receiving the detection signal and the adaptive result, carrying out detection signal interpretation and pathogen concentration prediction and generating a detection report; and the data linkage module is used for binding full-process data of the endoscope. The method has the advantages that the detection result is accurate and reliable, the pollution source can be positioned, the process can be optimized, and the requirements of equipment calibration and emergency treatment detection can be balanced to guarantee the clinical efficiency.

The invention belongs to the technical field of molecular biology in-situ detection, and particularly relates to a protein and RNA multiple in-situ detection method based on a nucleic acid coupling antibody and in-situ hybridization. According to the method, firstly, an antibody coupled with a specific nucleic acid tag is combined with a target protein, then the nucleic acid tag carried by the antibody is detected through a fluorescence in-situ hybridization technology, and in-situ detection of nucleic acid molecules is synchronously achieved; in the aspect of signal interpretation, a unique signal coding and interpretation mode is used, and high-throughput space co-detection of protein and nucleic acid on a single sample is realized. The method effectively breaks through the limitation of secondary antibody species sources in traditional immunodetection, overcomes the technical bottleneck that multiple in-situ analysis of protein and nucleic acid is difficult to perform in the same sample, and can synchronously obtain spatial distribution and expression information of target protein and nucleic acid in a single sample. The invention provides a powerful technical tool for life science research, disease pathological diagnosis, drug screening and treatment guidance.

The present application relates to a kind of multi-parallel pulse large current device vacuum area current measurement probe calibration device and calibration method, mainly for solving the scale factor conversion method complex in existing offline calibration method, or the existing online calibration generates low pulse current amplitude, output signal signal-to-noise ratio is extremely low, it is difficult to realize signal interpretation and other technical problems.The multi-parallel pulse large current device vacuum area current measurement probe calibration device of the present application, including shell and the energy storage capacitor and gas switch being set in shell, two current measurement devices for calibrating disc cone magnetic insulation transmission line and differential ring on insulating stack respectively, and charging assembly for charging energy storage capacitor, calibration device is connected in the load side of multi-layer insulating stack-disc cone magnetic insulation transmission line by feeding tool and backflow tool;Solved the technical problem of uneven or multi-point feeding structure complexity from the outside single point of disc cone magnetic insulation transmission line.

The invention relates to the technical field of environmental engineering and remote sensing monitoring, in particular to a precise positioning system for a damaged position of a landfill impermeable membrane. According to the technical scheme, the system comprises a signal transmitting assembly, a signal collecting assembly and a data processing assembly, the signal transmitting assembly comprises an autonomous mobile robot, a multi-band electromagnetic signal transmitter and a signal coding controller, and the signal collecting assembly comprises a ground sensing array, an unmanned aerial vehicle remote sensing platform and a satellite monitoring system. The data processing assembly comprises a signal interpretation module, an artificial intelligence analysis algorithm and a three-dimensional visualization platform. The autonomous mobile robot is introduced to emit an electromagnetic signal below the impermeable film, and when the impermeable film on the ground is damaged, the signal is leaked to the surface layer along the damaged part. Through cooperative monitoring of a ground multi-sensor array, an unmanned aerial vehicle and a satellite, signal abnormity is captured in real time, multi-source data are fused with the help of an artificial intelligence algorithm, accurate positioning and three-dimensional visualization of a damaged position are achieved, and the limitation that a traditional electrical method is interfered by the conductivity of a landfill is overcome.

A lightweight, cost-effective electrooculography (EOG)-based signal analysis device designed for non-diagnostic, commercial communication and control of external devices. The device includes ocular electrodes (102a, 102b, 102c) for capturing vertical eye movement signals and an auricular reference electrode (300) to improve signal stability and comfort. These signals are processed by a microcontroller (202) and transmitted to an external signal interpreter (202), facilitating interaction with devices such as computers, robotic systems, and prosthetics. The invention addresses the challenge of providing accessible, portable communication solutions for individuals with neuro-motor impairments, ensuring practical use with minimal setup requirements. The primary applications include communication support for conditions like ALS, Locked-in syndrome, and cerebral palsy, enabling users to control external systems efficiently.

A device (100) includes a high-voltage amplifier (120) for amplifying a burst signal (115) and is coupled to a driver circuit (128) to control a piezoelectric actuator (150). During the on-time of the burst signal, a feedback circuit (190) can compensate for non-idealities in the system and balance the signal at the actuator and the output of the high-voltage amplifier. During the off-time of the burst signal, a signal conditioning circuit (160) can detect a differential signal between the signal at the actuator and the signal at the high-voltage amplifier output and interpret this differential signal as pressure exerted on the piezoelectric actuator.

The invention discloses a multiferroic track memory device based on ferroelectric phase Mn2NO2, the multiferroic track memory device comprises a substrate, a ferroelectric phase Mn2NO2 nanosheet, a write electrode, a read electrode and a signal interpreter, the invention also discloses a method for preparing the memory device, the single-layer ferroelectric phase Mn2NO2 nanosheet is transferred to the substrate, in-plane region division is carried out, and the ferroelectric phase Mn2NO2 nanosheet is obtained; the invention further discloses a use method of the memory device, information is written in through the write-in electrode, and the information is read through the read electrode. The memory device is simple in structure, the core material is only the ferroelectric phase Mn2NO2 nanosheet, and the problems that a small-size multiferroic material cannot be further obtained due to the size effect of an existing multiferroic material, coexistence of ferroelectricity and ferromagnetism of a two-dimensional material is difficult to achieve, and an intrinsic small-size multiferroic electronic device is difficult to prepare are solved.