Research on Analysis Methods for Monitoring Data Based on Time Series Modeling
Yanbiao Zou · Mechanical & Electrical Engineering Technology · 2006
Home telemonitoring systems origin from the telemedicine and smart home,which own the functionalities of the health care and the monitor.The characteristics of systems is that they can monitor patient's vital parameters in a long-term,continuous way at home,detect abnormal statuses.Me-thods are proposed in this paper for monitoring data data-processing.These methods are based on time series model.Models order is determined based on the FPE criterion.The parameters of models are identified by Least-square algorithms.The vital signs data from PhysioBank biomedicine database are used for system test.The results prove that it can be used for vital signals data-processing online.