A medical device abnormal state warning method based on autoencoder
Objective In order to monitor the abnormal state of medical devices in real time,so as to timely warn and respond to the abnormal state of medical devices,and to ensure the safe operation of medical devices,an automatic encoder based medical device abnormal state early warning method was proposed.Methods Ten electrocardiogram monitors in a hospital were used as research objects due to failure in August 2022.We used the data recovery device connected to the internal memory of the ECG monitor to recover and extract all the characteristic data of the last minute of the device's untimely outage point,including signal quality and device status.Multivariate state estimation technology was used to build the health state assessment model of medical devices,and the key parameters causing equipment abnormalities were determined by comparing the contribution rates of the parameters.Based on these key parameters,an autoencoder early warning model was constructed,abnormal state parameters were input into the model for normalization processing,and the deviation between the average parameter error and the reference value was calculated.When the average error deviates from the benchmark value by more than 60％,the early warning mechanism was triggered.Results The experiment showed that the method could accurately detect 198 abnormal samples within 3s,which confirmed that the method could accurately detect abnormal samples in a short time.At the same time,in order to further analyze the specific failure causes of the medical equipment,three methods were used to identify and locate the causes of each failure of the equipment,taking the contribution rate as the measurement standard,and comparative analysis with the actual contribution rate,the contribution rate of this method was relatively close to the actual contribution rate,and could comprehensively predict the abnormal situation caused by the medical equipment.Conclusions The autoencoder-based medical device abnormal state early warning method has a high degree of accuracy and guidance,and provides an effective technical means for real-time monitoring and early warning of medical device abnormal state,which is helpful to improve the safety and reliability of medical devices.
medical device and equipmentmultivariate state estimationcontribution rate analysisautoencoderabnormal state warning
万方数据
维普
