Title :
Autoregressive models in the estimation of respiratory impedance
Author :
Scott, Richard S.
Author_Institution :
Med. Equipment Manage. Dept., King´´s Mill Centre, Sutton in Ashfield, UK
Abstract :
The work has focused on attempting to develop an alternative, more robust impedance estimate based on the use of parametric models. Autoregressive models of various order have been computed using Matlab TM and initial results are presented and discussed. Typical model based estimates are shown
Keywords :
lung; autoregressive models; impedance estimate; model based estimates; parametric models; respiratory impedance;
Conference_Titel :
Model Based Digital Signal Processing Techniques in the Analysis of Biomedical Signals (Digest No. 1997/009), IEE Colloquium on the Use of
Conference_Location :
London
DOI :
10.1049/ic:19970065
