7 results about "Abnormal results" patented technology

The invention discloses a comprehensive monitoring and evaluation system and method for a hepatolenticular degeneration patient, relates to the technical field of medical data analysis, and solves the problems that in the prior art, single image or motion detection is often depended, multi-source data comprehensive analysis is ignored, and the detection accuracy is high. The accuracy and the efficiency of the comprehensive monitoring and evaluation method for the hepatolenticular degeneration patient are low. Sensor data passes through a single-modal evaluation unit to obtain a plurality of modal anomaly scores, weighted summation is carried out on the modal anomaly scores to calculate an original comprehensive anomaly score so as to determine a normalized comprehensive score, a structured comprehensive evaluation report and an alarm signal are generated, and a multi-modal anomaly result influencing the illness state is analyzed through multi-source data. And the influence degree of the multi-modal abnormal result on illness state analysis is dynamically adjusted, so that illness state analysis can fit the actual condition of the patient, the comprehensive monitoring result is more accurate, and the accuracy of the comprehensive monitoring evaluation method for the hepatolenticular degeneration patient is improved.

The invention relates to an abnormal coronary artery signal recognition method and system, electronic equipment and a storage medium. The method comprises the steps that coronary artery physiological parameters of a user are collected, the coronary artery physiological parameters are analyzed, and an analysis result of the coronary artery physiological parameters is generated; determining a target classification model based on a preset analysis method, the coronary physiology parameters and the analysis result; and obtaining to-be-detected coronary physiological parameters, and identifying an abnormal result of the to-be-detected coronary physiological parameters according to the target classification model. The abnormal coronary artery signal can be accurately detected, and a more accurate abnormal result is provided for a user.

The invention relates to a perioperative period operation abnormal event mining, analyzing and labeling system and method, and belongs to the field of medical big data. The system comprises a data sampling module, an abstract syntax tree extraction module, a rule embedding module, a rule judgment module, a time sequence feature extraction module, a large model verification module, a frequency domain model verification module and a conflict resolution module. The method comprises the following steps: S1, formulating an exception rule; s2, establishing an abstract syntax tree; s3, collecting time sequence data of the perioperative period; s4, traversing the abstract syntax tree to judge an abnormal result; s5, extracting dynamic features; s6, analyzing an abnormal result by using a large model; s7, when the result conflicts, executing the step S8, and otherwise, marking and executing the step S9; s8, calling a frequency domain model to verify an abnormal result and labeling the abnormal result; and S9, repeating the steps S4-S8 until the labeling is completed. According to the method, accurate identification and labeling of the abnormal classification of the perioperative time series data can be realized, risk early warning is facilitated, and postoperative recovery analysis is facilitated.

The invention discloses a remote control identification system for an input and output monitor. The remote control identification system comprises an information acquisition module, a data analysis module and an abnormal result judgment module, the information acquisition module is used for acquiring personal information, environment information, feeding information and activity information of an observed object; the data analysis module is used for constructing a corresponding personal information urination distribution diagram, an environment information urination distribution diagram, a feeding information urination distribution diagram and an activity information urination distribution diagram to obtain a corresponding standard personal information urination path, a standard environment information urination path, a standard feeding information urination path and a standard activity information urination path; and the abnormal result judgment module is used for calculating the urination information passing times and the urination information deviation distance of the observation object, determining the abnormal discharge condition of the observation object according to the passing times and the urination information deviation distance, and judging the abnormal degree of urination of the observation object. Factors caused by the urination problem of the patient can be accurately positioned.

To disclose a method of detecting aberrant results caused by delivery issues for a polyhapten reagent in the context of immunoassays.SOLUTION: Operation is added to an assay parameter for estimating an equipment signal when a polyhapten reagent is delivered. This method predicts a signal at 0 hour by using regression of two antecedent readings of the time, subtracts a signal contribution from a sample and an antibody reagent in a reaction mixture, and provides accurate monitoring of the signal by adding the polyhapten reagent to reaction. By removing the signal contribution from the sample and the antibody reagent, equipment software can compare signals from the delivery of each test polyhapten reagent and can stand a flag to the test affected by a problem of reagent delivery. This method is effective because a change of the signal relative to the time is linear at the point of time when it is used.SELECTED DRAWING: Figure 1

The invention discloses a blood pressure early warning system in hemodialysis treatment based on a wearable monitoring device, comprising: a wearable monitoring device, which comprises an STM32F103C8T6 core board, an MQ-R-12 heart rate and blood pressure module, a DS18B20 temperature sensor, an ESP8266WIFI transmission module, an OLED12864 display module, an LED single indicating lamp, a buzzer, and a Type-c interface; the hemodialysis treatment module adopts a front-end and back-end Web framework of Vue + Django, and a directive tagging blood pressure abnormity prediction algorithm is embedded in the hemodialysis treatment module; real-time, efficient and rapid data transmission between the wearable monitoring device and the hemodialysis treatment module adopts an MQTT internet transmission protocol and an EMQX information server; the medical staff can conveniently operate and record the related treatment information of the patient, monitor and predict the abnormal blood pressure in real time, and visually display the abnormal result, so that the medical staff can be timely reminded to carry out corresponding clinical treatment.

The application provides a monitoring sock for monitoring a foot environment of a diabetic foot, a method and a medium, and relates to the field of diabetic feet. The monitoring sock body is provided with a sensing assembly, a processor and a terminal. The processor regularly collects data of foot bottom humidity, foot bottom microorganisms, blood glucose, stress direction and stress intensity of an arch, stress direction and stress intensity of a heel, and instep temperature, analyzes personnel exercise intensity according to the stress direction and stress intensity of the arch and the stress direction and stress intensity of the heel, determines whether the personnel perspiration function is abnormal according to the personnel exercise intensity and the foot bottom humidity, determines whether the blood circulation regulation function is abnormal according to the foot bottom microorganisms, the instep temperature and the blood glucose data, and uploads the abnormal results of the personnel perspiration function and the blood circulation regulation function to the terminal. The application can capture abnormal conditions of the user's foot earlier, thereby reducing the probability and risk of the diabetic foot.