DocumentCode
320099
Title
Linear and non-linear time series analysis in non-invasive physiological measurement
Author
Carson, E.R. ; Leicester, H.J. ; Roudsari, A.V.
Author_Institution
Meas. & Instrum. Centre, City Univ., London, UK
Volume
3
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
970
Abstract
Non-invasive physiological measurement covers conventional methods of indirect and derived measurement. The definition should also include minimally invasive methods which are becoming increasingly important as meter technology allows patients to collect their own data for clinical use. Across the range, non-invasive methods add noise to the interpretation process. The rise of home data collection means that patient behaviour must be considered as well as the more usual equipment factors. Advanced time series analysis is introduced as a tool for studying patterns in data collection and filtering the noise from underlying signals. Examples are given from diabetes and surgery
Keywords
biomedical measurement; medical signal processing; physiology; time series; advanced time series analysis; clinical use; data collection patterns; derived measurement; diabetes; equipment factors; home data collection; indirect measurement; linear time series analysis; meter technology; noise filtering; noninvasive methods; noninvasive physiological measurement; nonlinear time series analysis; patient behaviour; surgery; underlying signals; Diabetes; Electric variables measurement; Filtering; Frequency measurement; Minimally invasive surgery; Parameter estimation; Pattern analysis; Signal analysis; Time measurement; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.652665
Filename
652665
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