72 results about "Reference range" patented technology

The invention relates to a data delivery risk early warning and intelligent management and control method and system. The method comprises the following steps: collecting flow characteristic data, user behavior data and environment characteristic data of data delivery in real time; establishing a dynamic baseline model, and generating reference range data of normal delivery behaviors based on historical data and industrial standards; performing anomaly detection on the user behavior data and the environment characteristic data by using a dynamic baseline model, and generating a risk early warning signal; when a risk early warning signal is received, identifying a risk type, and generating a corresponding risk level; and matching management and control actions in a preset strategy library based on the risk type and the risk level, executing the management and control actions, monitoring a feedback effect, and continuously optimizing dynamic baseline model parameters. According to the method, through dynamic reference generation, multi-dimensional data fusion and a continuous optimization mechanism, the problem of pain points of a traditional model in adaptability, comprehensiveness and maintenance cost is solved.

The invention provides an early-stage automatic identification method and system for acute kidney injury related to cardiac surgery, and relates to the technical field of physiological parameter detection. The method comprises the following steps: acquiring average arterial pressure, cardiac blood discharge volume, central venous pressure and blood oxygen saturation, regularly recording and extracting data of adjacent time points, calculating a variation range, screening a mutation region, judging whether a reference range is exceeded or not, analyzing a multi-parameter synchronous variation condition, and marking a hemodynamics abnormal state. According to the method, abnormal changes of hemodynamics and urine metabolism are accurately recognized through real-time monitoring and multi-parameter analysis, the urine flow rate and the metabolite excretion rate are combined, misjudgment of a single index is avoided, the fineness of renal function change analysis is improved, the high-risk time period is accurately positioned through time cross comparison, the diagnosis accuracy is improved, and the diagnosis accuracy is improved. Trend analysis and risk grade division enable the change of the illness state to be more visual, and a real-time early warning system effectively monitors the fluctuation trend, optimizes clinical management and improves the timeliness of medical response.

The invention relates to the technical field of state evaluation, in particular to a coil health degree dynamic evaluation system based on electromagnetic coil performance parameters, which comprises a coil operation load evaluation module, an operation frequency health comparison module, an electromagnetic loss joint analysis module, a multi-parameter anomaly screening module and a health state evaluation module. According to the invention, by measuring the change rates of resistance, inductance and magnetic flux density and setting different parameter deviation ranges according to the load grade, the identification precision of the influence of the load on the coil state is improved, and by combining the comparison of the inductance drift reference range, the rapid judgment of abnormal deviation is realized, and the mutual analysis of multiple parameters is carried out; according to the method, the incidence relation among the parameters is comprehensively analyzed, the synchronous decline trend is effectively identified, the health degradation rate is synchronously calculated, and the health state warning threshold is compared, so that the change trend of the health state is accurately predicted, the accuracy of health state evaluation of the electromagnetic coil is improved, and the missed detection probability of an abnormal state is reduced.

The invention discloses an action state evaluation method and system based on a time-varying muscle synergistic effect. According to the method, a muscle synergistic effect matrix of standard walking actions, a standard reference range of a scaling coefficient and a time delay parameter and a classifier for action state recognition are constructed, then real-time surface electromyogram signals of a target individual are collected in a real-time stage, and the muscle synergistic effect matrix is extracted; calculating a second similarity index with a muscle synergistic effect matrix of a standard walking action; and inputting the second similarity index into the classifier, if the second similarity index is identified as a'moving 'state, performing an action state evaluation process, otherwise, re-collecting the real-time surface electromyogram signal of the next window. According to the method, the time-varying muscle synergistic effect model is adopted, and the time dimension is introduced, so that the dynamic change in the whole muscle activation process can be more accurately captured; meanwhile, the muscle activation process is modeled from the source, whether the action is completed or not is reflected, and more attention is paid to physiological rationality and control strategies.

The invention provides a report filling auxiliary system and method based on a large model, which can improve the report filling efficiency and accuracy and reduce the operation difficulty. The report filling auxiliary system based on the large model comprises a data acquisition module used for acquiring filled original data; the data preprocessing module is in communication connection with the data acquisition module, and the data preprocessing module is used for preprocessing the original data to obtain preprocessed data; the large model analysis module is in communication connection with the data preprocessing module, and the large model analysis module is used for learning and analyzing the preprocessed data, identifying rules and features of the preprocessed data and obtaining an analysis result; and the data recommendation module is in communication connection with the large model analysis module, and the data recommendation module is used for providing a recommendation value and a reference range of report filling according to an analysis result.

The invention relates to the technical field of industrial internet-of-things monitoring, and discloses an internet-of-things-based remote monitoring method and system for asphalt mixture stirring equipment. The method comprises the following steps: acquiring key component operation parameters and external environment variables, and performing time domain statistical filtering to obtain an initial operation sequence; performing adaptive window length smoothing and frequency domain noise suppression to obtain a clean operation sequence; performing environment equivalent correction on the clean operation sequence by using the external environment variable to obtain a calibration feature vector; performing multi-dimensional feature correlation analysis according to the calibration feature vector, and determining a working condition switching label; determining a dynamic reference range according to the working condition switching label; calculating a preliminary abnormal probability according to the calibration feature vector and the dynamic reference range; and performing historical trend weighting and abnormal integration to obtain a final health assessment result. According to the method, through environment correction and dynamic reference following, environment interference and working condition misjudgment are eliminated, and accurate evaluation of the equipment health state is achieved.

The invention provides a medical index standardization matching method and device, and the method specifically comprises the steps: obtaining medical text data, carrying out the preprocessing of the medical text data, and forming the preprocessed medical text data; constructing a medical synonym dictionary, and dynamically expanding the medical synonym dictionary to form a dynamically expanded medical synonym dictionary; matching the preprocessed medical text data through three matching strategies to form three matching results; fusing the first matching result, the second matching result and the third matching result to form a fused matching result; performing consistency check on the fused matching result, extracting numerical values and unit information by using a regular expression, and detecting unit conflicts and reference range deviations to form unit and range verification results; and according to the synonym dictionary, the fused matching result and the unit and range verification result, a standardized index matching result is formed, and the user experience is improved.

The invention discloses a highly anatomical real multi-organ ultrasonic CT (Computed Tomography) image data set construction method. According to an original image of an organ, an artificial intelligence segmentation model is used for segmenting the organ into multiple types of tissues, proper medium parameter values are allocated, and a small-scale and anatomically real ultrasonic CT phantom data set is generated; performing fine adjustment on the basic generative artificial intelligence model by adopting an ultrasonic CT phantom data set to generate large-scale new data, filtering out unreasonable image results, and re-adjusting medium parameter values exceeding a reference range, so as to generate a large amount of diversified and physically real phantom data; simulating to obtain an output scattered wave field after the interaction of the sound wave and the phantom, completing the construction of a large-scale medium parameter-wave field data pair, and obtaining a multi-organ ultrasonic CT image data set; the ultrasonic CT data set constructed by the method has the characteristics of large scale, diversification and high anatomy authenticity, and is used for realizing a high-resolution ultrasonic CT image reconstruction task.

The invention provides a fault diagnosis method and device for a turbine generator and a readable storage medium. The electromechanical operation parameters of the turbine generator are collected in real time, comprehensive and multi-dimensional perception of the operation state of the turbine generator is achieved by fusing multi-dimensional electrical and mechanical parameters, and a data foundation is laid for fusion diagnosis. And dynamically determining an expected reference range of the to-be-diagnosed parameter corresponding to the current working condition based on the current value of the working condition definition parameter, comparing the actual measurement value of the to-be-diagnosed parameter with the expected reference range, and generating one or more abnormal indication signals based on the comparison result, therefore, the diagnosis process can adapt to the real-time operation condition of the equipment, and the problem of poor adaptability of a fixed threshold value in a variable working condition environment is solved. Afterwards, the fault diagnosis result of the turbine generator is comprehensively output through fusion and correlation analysis of multi-source information, and compared with a traditional single parameter analysis method, the fault recognition precision is remarkably improved.

The invention discloses a child overweight and obesity detection method and system based on multi-index cooperative determination, and the method comprises the steps: firstly deploying and initializing a special multi-mode detection tool, and inputting the basic information of a child; and then guiding the integrated device and the portable module for children to acquire physique indexes according to prompts, calling intelligent wearing behavior data, verifying the intelligent wearing behavior data, and storing the intelligent wearing behavior data into a local database of the terminal. Extracting multi-modal data, importing the multi-modal data into a built-in model, matching a WHO standard and a metabolic reference range according to age and gender, assigning differential weights according to growth stages, and correcting and outputting an obesity trend probability basic value in combination with a growth rate. The behavior data is quantified, a risk matrix is established, a cause is positioned, then a report result containing obesity probability, influence factors and early warning levels is generated through integration, and suggestions are given to abnormal children on site. And effective intervention of overweight and obesity of children is facilitated.

The present application relates to the technical field of industrial internet of things monitoring, and discloses a remote monitoring method and system for asphalt mixture mixing equipment based on the internet of things.The method comprises the following steps: collecting key component operating parameters and external environmental variables, performing time domain statistical filtering to obtain an initial operating sequence; performing adaptive window length smoothing and frequency domain noise suppression to obtain a clean operating sequence; using the external environmental variables to perform environmental equivalent correction on the clean operating sequence to obtain a calibration characteristic vector; performing multi-dimensional feature correlation analysis according to the calibration characteristic vector to determine a working condition switching label; determining a dynamic reference range according to the working condition switching label; calculating a preliminary abnormality probability according to the calibration characteristic vector and the dynamic reference range; performing historical trend weighting and abnormality integration to obtain a final health assessment result.This method eliminates environmental interference and working condition misjudgment through environmental correction and dynamic reference following, and realizes accurate assessment of the health state of the equipment.

The application discloses a kind of medical inspection report multi-stage cascade processing method and system, wherein the method comprises: obtaining inspection report, and the original table data in the inspection report is cascade pretreated, and standardization table data is generated;Based on the standardization table data, structured index extraction is carried out, and structured index data is obtained, and the result value in the structured index data and reference range determine index state information;Based on the structured index data, generate basic information data and health advice text, wherein the health advice text is generated based on the index state information.The application effectively solves the problem that the expression of inspection report of different hospitals / equipment is quite different and cannot be aligned stably.

The invention provides a wrist closed-loop peripheral nerve electrical stimulation method and system, and relates to the technical field of nerve regulation and wearable medical instruments.The method comprises the steps that physiological signals and wearing state information of the radial styloid process, the ulna styloid process and the wrist transverse grain midpoint of the wrist are obtained, and the reference range and the dynamic calibration boundary of stimulation parameters are obtained; based on the reference range and the dynamic calibration boundary, determining a structural relationship according to the position data of the radial styloid process, the ulna styloid process and the wrist cross grain midpoint of the wrist, and performing regional characteristic analysis on the structural relationship to obtain an analysis result; and calculating geometric characteristics in the regional characteristic analysis result to obtain a geometric moment quantification result of the region. According to the invention, an individual parameter setting, closed-loop online updating and long-term maintainable engineering system is realized.

A measurement device is disclosed, which may include or wirelessly connected to sensors or sensing devices for sensing an electrical property. The measurement device can receive user input, e.g., from physical UI components, to set a reference range of values and measures the electrical property of a device under test. Under a limit gauge operation mode, if the measured value is outside the reference range, the measurement device can produce an alert to notify its users.

A method (10) for determining the scalp (21) type of a user (20), the method (10) comprising: obtaining a value of a humidity level (111) indicating a region of the scalp (21) of the user (20) and a value of a sebum level (112) indicating the region of the scalp (21) of the user (20); comparing a group including the two values ​​with a reference range of scalp humidity level (111) and sebum level (112), the reference range forming at least five scalp groups (131-135), each scalp group (131-135) being associated with a range of humidity level (111) and a range of sebum level (112), and also associated with a skin and / or hair care composition and / or skin and / or hair care treatment compatible with the same range of humidity level (111) and sebum level (112) of the corresponding category; identifying the scalp (21) type of the user (20) based on the comparison; and outputting the identified scalp (21) type.

In at least one embodiment, a hemoglobin measuring device may include a plurality of sensors, a display configured to present information, and a computing device in communication with the sensors and display and having a processor and a memory storing instructions executable by the processor. The instructions may include instructions to receive, from the sensors, measurements of one or more forms of glycated hemoglobin in a blood samples, determine a total fetal hemoglobin value in the blood sample by performing a peak area summation of all forms of fetal hemoglobin, subtract the total fetal hemoglobin value from 100 to derive a total adult hemoglobin value, determine a glycated fetal hemoglobin value, compare the glycated fetal hemoglobin value to a reference range to obtain a comparison, determine a baseline glucose control value based on the comparison, and output the baseline glucose control value and the comparison to a display for medical evaluation.

The present invention discloses a method and a system for packaging polarity identifiers, an electronic device, and a storage medium. The method comprises: dividing a bounding rectangular frame of a component with a polarity identifier to be designed into a plurality of sub-regions based on a preset division mode and obtaining a size of the bounding rectangular frame; determining a polarity identifier graph; defining names of a plurality of reference regions; determining that a position span of the polarity identifier graph is an interior or exterior of the bounding rectangular frame; determining a target reference region and calculating position coordinates of the polarity identifier graph based on the size of the bounding rectangular frame, the polarity identifier graph, the position span, and a name of the target reference region; and calculating a size of the polarity identifier graph.and assigning the polarity identifier graph, the name of the target reference area, the position coordinates, and the size of the polarity identifier graph to a package of the component with the polarity identifier to be designed as an attribute of the package. The present invention can overcome the shortcomings of the prior art, such as difficulties and identification errors in polarity identification, which are caused by confirming the polarity of a component based on manual identification and verification.

The invention relates to the field of video monitoring, in particular to a video monitoring method for intelligent medical patient nursing, which comprises the following steps: determining a personnel state based on a personnel proportion value and a non-affected characterization value of a monitoring area, and determining whether to carry out frame optimization or not according to the personnel state; according to a comparison result of the association density corresponding to the preset video frame and the preset association density, determining that a data uploading mode is to upload the preset video frame and the corresponding compensation video frame or upload the preset video frame and the corresponding video paragraph; constructing a region sequence based on the stable number of the nursing personnel in the reference range corresponding to each monitoring region, and determining whether sequence adjustment is performed or not according to a comparison result of a stable number difference value of the nursing personnel in the region sequence and a preset number difference value; and carrying out data uploading on the finally obtained region sequence according to a sequence number ascending sequence. According to the invention, the video monitoring data processing efficiency of patient nursing is improved.

The present invention discloses an image diagnosis auxiliary decision-making system based on a medical knowledge graph, which relates to the technical field of medical auxiliary diagnosis. It includes an image data set establishment module, an image data set analysis module, a 24-dimensional bounding box acquisition module, a fuzzy processing module, and a fracture type judgment module. By analyzing the 24-dimensional vector forms of different fracture types, the 24-dimensional bounding boxes corresponding to each fracture type are obtained, providing clear boundary intervals. By performing fuzzy processing on the boundary intervals of the 24-dimensional bounding boxes, the possible similarities and variabilities between different fracture types are considered, improving the flexibility and fault tolerance when judging the fracture type of the image to be detected, being able to make reasonable judgments on complex or unclear diagnostic images, providing a wider reference range for the judgment of fracture types, reducing the risk of misjudgment caused by eigenvalue approaching the boundary, and improving the accuracy of diagnosis.

A sealing machine and method for controlling a sealing machine Includes the following steps: placing capped containers provided with a seal on plates, rotating the plates, pressing the seal against the cap of the container and fastening said seal using a sealing head. The step of rotating the plates is performed by rotating each plate independently of the other plates. The method further includes: detecting at least one parameter associated with the rotation of a plate and / or with a compression load between each sealing head and the seal, and comparing the value of the detected parameter with a reference range.

The invention relates to the technical field of medical treatment, in particular to a medical record extraction method based on a large language model. The method comprises the following steps: performing fine-grained classification and context verification on candidate terms through a BERT-Md model, and outputting a fact support; guiding the first call of the large language model through the first composite prompt, and synthesizing a context example specific to a case; and guiding the second calling of the large language model through the second composite prompt to generate a target clinical abstract. The invention provides a large language model-based medical record extraction method, which comprises the following steps of: extracting and classifying key clinical elements from an original medical record through a BERT-Md model, and inputting the extracted key words into a large language model to generate a context example conforming to clinical logic; and ensuring that the generated abstract contains eight necessary modules through a constraint decoding technology, automatically marking an abnormal test value reference range, and outputting a clinical abstract with a standard format and standard information density.

This application relates to a method and system for generating AMH test reports using multi-dimensional data fusion. The method includes extracting AMH samples from women of a specific age group and establishing a regression standard curve between age and the mean AMH value based on statistical distribution. The theoretical AMH value is obtained from the standard curve based on the patient's age, and combined with the actual test value to calculate the AMH standard offset reflecting the degree of deviation. Based on the statistical distribution of the sample set, a preset interval threshold reference range for the offset is set and simultaneously presented in the report as an evaluation benchmark. When the offset exceeds a preset risk threshold, multi-dimensional clinical data from the patient's historical diagnosis, hormone levels, and ultrasound are automatically collected and entered into the analysis process. The offset index, reference range, and multi-dimensional data mining results are fused to obtain structured and personalized report suggestions to assist in precise clinical decision-making.

This disclosure provides methods for quantifying individual amino acids in various bodily fluids obtained from a human patient. Also provided are reference ranges for normal amino acid levels in the various bodily fluids (e.g., blood plasma, urine, cerebrospinal fluid, and saliva) and for various age groups (e.g., neonates, infants, children, and adults).

The invention discloses a heart rate variability evaluation method based on temperature change, and relates to the technical field of physiological signal processing and health monitoring. The method comprises the following steps: firstly, synchronously acquiring electrocardiosignals and environment temperature data of a measured object under different temperature conditions; then processing the electrocardiosignal to extract an RR interval sequence, and calculating a group of heart rate variability characteristic indexes; secondly, performing function fitting by taking the environment temperature as an independent variable and the heart rate variability characteristic index as a dependent variable, and constructing a personalized response model reflecting the change of the individual HRV along with the temperature; and finally, based on the model, determining an HRV theoretical reference value at a standard temperature or extracting a temperature sensitivity quantitative characteristic, and comparing the HRV theoretical reference value with a healthy population reference range, thereby realizing accurate evaluation of the autonomic nerve function state or the temperature adaptability. According to the method, by quantifying the influence of the temperature on the heart rate variability, the defect that in the prior art, evaluation is inaccurate in a variable-temperature environment is effectively overcome, and the reliability and applicability of an evaluation result are remarkably improved.

This invention relates to a method of identifying a Blood Brain Barrier peptide shuttle (BBBpS) comprising determining a set of physicochemical properties of a test peptide. The set of physicochemical properties may comprise Molecular weight, Extinction coefficient, Hydrophobic nature, Isoelectric point, Net charge at pH 7, Charge, Average hydrophobicity, Hydrophobicity at pH 7, and Hydrophilic residues ratio. If each of these physicochemical properties falls within a reference range then the test peptide is identified as a BBB peptide shuttle. Methods of identifying producing and using BBB peptide shuttles are provided.

Described herein are various embodiments of techniques for determining reference values / ranges for diagnostic markers for patients during treatment and recovery during and / or after illness or injury. Some methods may include obtaining a patient's medical information (including any diagnosed medical conditions) and calculating, based on the medical condition and an elapsed time since onset or start of treatment, expected reference ranges for one or more diagnostic markers. These methods may also include outputting an indication of whether the measurements for the diagnostic marker or markers fall outside the reference range(s). In some embodiments, the reference values can be adjusted depending on additional pathologies indicated in the patient's medical information. Some such patient- and / or pathology-specific reference values / ranges can also be displayed to medical professionals to aid in patient care and / or leveraged in automated patient monitoring systems to alert doctors that a patient is not recovering according to the expected trajectory.

This invention discloses a method, system, medium, and equipment for diagnosing the causes of lightning damage and optimizing lightning protection measures. The method includes: determining multiple parameters affecting the lightning trip rate and defining reference ranges for each parameter; normalizing each parameter based on its reference range; calculating the gradient value of each parameter based on the normalized parameters, wherein a larger gradient value indicates that the corresponding parameter is diagnosed as a major factor in the cause of lightning damage; taking corresponding counter-attack measures or bypass measures for each parameter according to its gradient value, and calculating the lightning trip rate after taking optimized measures; determining whether the lightning trip rate after taking optimized measures reaches a preset standard, and if it reaches the preset standard, determining the optimized measures taken for each parameter as the optimal comprehensive measures. This invention can efficiently and accurately diagnose the causes of lightning damage and efficiently and accurately propose optimal lightning protection measures.

This invention relates to a method of identifying a Blood Brain Barrier peptide shuttle (BBBpS) comprising determining a set of physicochemical properties of a test peptide. The set of physicochemical properties may comprise Molecular weight, Extinction coefficient, Hydrophobic nature, Isoelectric point, Net charge at pH 7, Charge, Average hydrophobicity, Hydrophobicity at pH 7, and Hydrophilic residues ratio. If each of these physicochemical properties falls within a reference range then the test peptide is identified as a BBB peptide shuttle. Methods of identifying producing and using BBB peptide shuttles are provided.

The invention discloses a variance verification-based station monitoring index fluctuation detection method and terminal, and the method comprises the steps: obtaining a historical monitoring index data sequence of a station, and dividing the historical monitoring index data sequence into a plurality of index data subsequences according to a time sequence; calculating an average value of trend values, a variance of residual values and a variance acceleration of the residual values of each index data sub-sequence, and further determining a trend value average value reference range, a residual value variance reference range and a residual value variance acceleration reference range; and acquiring the latest monitoring index data sequence of the station, and determining whether the latest monitoring index data sequence fluctuates or not by judging whether the average value of the trend values of the latest monitoring index data sequence, the variance of the residual values or the variance acceleration of the residual values exceed the corresponding reference range or not. According to the invention, whether the monitoring index data of the station fluctuates or not can be accurately judged from multiple angles, so that operation and maintenance personnel can carry out early warning processing in time, and reliable protection is provided for the safety of the station.

In a method for measuring a body rotation amount according to a posture determination, a first reference coordinate system is defined, and a measured acceleration value based on a local coordinate system (X axial direction, Y axial direction, and Z axial direction) is converted into a converted acceleration value (AX, AY & AZ) based on the first reference coordinate system. Thereafter, the posture of a subject is determined using a converted acceleration value (aXg, aYg & aZg). Meanwhile, when the converted acceleration value maintains a value within a reference range, a second reference coordinate system (Xm, axial direction, Ym axial direction, and Zm axial direction ) of an earth magnetic field sensor is defined, and a measured magnetic field value based on the local coordinate system is converted into a converted magnetic field value (BX, BY & BZ) on the basis of the second reference coordinate system. Thereafter, the amount of rotation for the posture of the subject is calculated by using the converted magnetic field value (BX, BY & BZ).