7 results about "Reaction curve" patented technology

The application discloses a sample analysis method, device and computer readable storage medium, wherein the sample analysis method comprises the following steps: acquiring real concentration values of a plurality of high-concentration sample solutions; wherein the concentration values of the high-concentration sample solutions are greater than a preset concentration value; determining estimated concentration values of the plurality of high-concentration sample solutions according to characteristic parameters of reaction curves of the plurality of high-concentration sample solutions and a calibration curve; establishing a hook effect curve according to the real concentration values and the estimated concentration values of the plurality of high-concentration sample solutions; and detecting the concentration of a sample solution to be detected by using the calibration curve and the hook effect curve. In the foregoing manner, the detection cost can be reduced, and the detection efficiency can be improved.

The invention relates to a calibration processing method and device, a storage medium, a control terminal and a system, and belongs to the technical field of medical examination, the method comprises the following steps: displaying a target calibration curve in a calibration management interface, the target calibration curve comprising data points corresponding to a plurality of calibration products corresponding to a target detection item, and based on a selection operation on the data points in the target calibration curve, displaying reaction curves respectively obtained by multiple tests of the selected calibration product in the calibration process and corresponding test records respectively. Therefore, a user can be effectively guided to judge whether the calibration curve is abnormal or not by performing abnormality checking on the calibration product, the user can directly observe process data, detection details in the calibration process are completely reserved, the user can clearly reproduce the test condition in the calibration process, and the user experience is improved. Therefore, whether the calibration product is abnormal or not is efficiently and accurately judged, and then whether the calibration curve is abnormal or not is judged.

The application discloses an artificial intelligence-based biochemical reaction curve anomaly detection method and system, comprising the following steps: acquiring biochemical reaction curve data; preprocessing the biochemical reaction curve data to obtain preprocessed data; analyzing the preprocessed data by using an artificial intelligence model to identify abnormal reaction curves; and triggering a corresponding alarm mechanism based on the analysis result of the artificial intelligence model.

The invention relates to a sample reaction curve processing method and device, a storage medium, a control terminal and a system, and belongs to the technical field of medical examination.The method comprises the steps that a to-be-recognized reaction curve of a target sample and a target calibration product reaction curve are obtained, the method comprises the steps of obtaining a reaction curve of a calibration product used in target calibration operation of a detection item corresponding to a reaction curve to be recognized, obtaining an anomaly recognition result of the reaction curve to be recognized based on a target calibration product reaction curve, and when the reaction curve to be recognized has an anomaly and the anomaly can be repaired, recognizing the anomaly of the reaction curve to be recognized based on the anomaly recognition result and the target calibration product reaction curve. And obtaining the repaired reaction curve, and displaying the reaction curve to be identified and the repaired reaction curve in the target interface. Therefore, the computer is used for analyzing the curve morphological characteristics to identify the abnormity, a large number of parameters do not need to be manually set and filled, the global mode abnormity can be effectively captured, the abnormal condition can be comprehensively identified, and the abnormal condition and the repairing effect can be visually and clearly reflected for user reference.

The invention discloses an embedded equipment fault diagnosis prediction method and system, and belongs to the technical field of equipment fault management. Uniformly coding the embedded equipment to obtain a fault chain relation and a fault frequency; constructing a fault feature scatter point and chain reaction curve, and iteratively adjusting a checking period; predicting a fault cascading interval period based on the curve similarity; and cooperatively calibrating the period range, generating a list and indicating synchronous diagnosis. The system correspondingly comprises a fault data acquisition and coding module, a fault characteristic curve construction module, a fault interval period prediction module and a cooperative calibration and diagnosis module. The method breaks through the limitation of single equipment diagnosis, improves the fault prediction accuracy in combination with the assembly line cooperative relationship, improves the efficiency through synchronous diagnosis planning, is suitable for fault management of various assembly line embedded equipment, and effectively reduces the missed diagnosis rate and the diagnosis cost.

The application belongs to the technical field of curve data processing, and discloses a correction method of a reaction curve, a sample analyzer and a storage medium. The method comprises the following steps: obtaining a filtered reaction curve, wherein the filtered reaction curve is obtained after filtering an original reaction curve; performing down-sampling processing on the filtered reaction curve to obtain a target reaction curve; determining a target first-order differential curve and a target second-order differential curve of the target reaction curve; identifying a first abnormal point on the target first-order differential curve and a second abnormal point on the target second-order differential curve, and determining a target abnormal point of the filtered reaction curve based on the first abnormal point and the second abnormal point; and correcting the filtered reaction curve based on the target abnormal point to obtain a corrected reaction curve of the original reaction curve. In the above manner, the accuracy of detecting CRP and SAA by using whole blood can be effectively improved.

The invention relates to a biochemical analyzer and a detection data processing method thereof, which are applied to detection items adopting a rate method.The method comprises the steps that an initial curve of absorbance of a target sample along with time change is obtained; performing linear fitting on the initial curve to obtain a corresponding fitting curve, and determining a judgment coefficient of the fitting curve; when the judgment coefficient is greater than or equal to the target value, determining a detection result of the target sample according to the initial curve; when the judgment coefficient is smaller than a target value, inputting the initial curve into a pre-trained abnormal condition detection model, and determining an abnormal type; and when substrate depletion occurs, performing substrate depletion correction on the initial curve, and determining a detection result of the target sample according to the corrected reaction curve. And targeted correction is performed on the reaction curve with relatively poor linear degree according to the abnormal type, so that the accuracy of a detection result is improved.