Title :
Haemodynamic trend detection using the median filter
Author :
Mäkivirta, A. ; Koski, E.
Author_Institution :
Tech. Res. Centre of Finland, Tampere, Finland
Abstract :
Attention is given to methods to obtain clinically useful trend data from invasively monitored haemodynamic parameters in an intensive care unit. The requirements for a trend detector in the context of intensive care are defined. A median filter-based trend detector designed to perform as a preprocessor for a highly specific knowledge-based alarm system is presented. The trend detector uses the standard median filter to preprocess the data before estimating first-order trends with least squares sum line fitting. The detector´s responses to artifact input and its reliability as well as its clinical evaluation are discussed
Keywords :
alarm systems; filtering and prediction theory; haemodynamics; knowledge based systems; parameter estimation; patient monitoring; first-order trends; haemodynamic trend detection; intensive care unit; knowledge-based alarm system; least squares sum line fitting; median filter-based trend detector; parameter estimation; patient monitoring; Blood flow; Change detection algorithms; Detectors; Heart rate; Least squares approximation; Low pass filters; Monitoring; Nonlinear filters; Predictive models; Testing;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236955
