Presentation	1998/1/23 A Study of an Autoregressive Model for Nonlinear Biomedical Time Series Data Analysis Hiroko Kato, Makio Ishiguro, Hireki Kawahara,
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Abstract(in English)	We propose a statistical time series model as a method to analyze biomedical signals which show nonstationarity and/or nonlinearity. In general, we consider that the fluctuation of the biomedical signal is caused by the effects of fluctuations in other biomedical parts. In this article, we consider an autoregressive model fitting to such time series data. The simulation study is also performed.
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Keyword(in English)	autoregressive coefficients / statistical time series model / biomedical fluctuation nonlinear function
Paper #	HIP97-38
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Committee	HIP
Conference Date	1998/1/23(1days)
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Registration To	Human Information Processing (HIP)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	A Study of an Autoregressive Model for Nonlinear Biomedical Time Series Data Analysis
Sub Title (in English)
Keyword(1)	autoregressive coefficients
Keyword(2)	statistical time series model
Keyword(3)	biomedical fluctuation nonlinear function
1st Author's Name	Hiroko Kato
1st Author's Affiliation	Department of Applied Mathematics Faculty of Engineering, Hiroshima University()
2nd Author's Name	Makio Ishiguro
2nd Author's Affiliation	Department of Applied Mathematics Faculty of Engineering, Hiroshima University
3rd Author's Name	Hireki Kawahara
3rd Author's Affiliation	Department of Applied Mathematics Faculty of Engineering, Hiroshima University
Date	1998/1/23
Paper #	HIP97-38
Volume (vol)	vol.97
Number (no)	509
Page	pp.pp.-
#Pages	4
Date of Issue