NDLI: Sampling and compression of biomedical signals from point of view of telemedicine

Content Provider	IEEE Xplore Digital Library
Author	Vysoky, P.
Copyright Year	1997
Description	Author affiliation: Fac. of Electr. Eng., Czech Tech. Univ., Prague, Czech Republic (Vysoky, P.)
Abstract	An optimal sampling frequency is generally a compromise between the endeavour to catch all dynamical changes of a signal and not having any redundant samples. This problem has not been completely solved for crisp metric variables, and very little is known about fuzzy and qualitative variables. In this paper, one possible approach based on data compression is suggested for determining the optimal sampling frequency of ordinal and nominal variables. A similar problem is the sampling of fuzzy variables. The submitted approach can, under specific conditions, be extended to fuzzy variables too. I look at the problem initially from the point of view of quantitative metric variables. Methods for determining the optimal sampling frequency are usually based on the estimation of the spectrum of the examined signal. In this paper, an empirical method is used which does not need any knowledge of the spectrum.
Starting Page	52
Ending Page	53
File Size	209616
Page Count	2
File Format	PDF
ISBN	0780343182
DOI	10.1109/ITAB.1997.649400
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-09-07
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sampling methods Telemedicine Signal sampling Data compression Frequency estimation Interpolation Control engineering Medical diagnostic imaging Pain Mood
Content Type	Text
Resource Type	Article

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