Presentation 2003/1/18
Adaptive Estimation of State Changes in Heart Rate Variability
Takashi CHIKUMA, Hirohisa MIZUTA, Kazuo YANA,
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Abstract(in English) Heart rate variability has been widely utilized as a non-invasive mean to access the state of autonomic activities. However, standard spectral analysis often assumes stationarity and/or linearity of the heart rate signals. In this report we propose a method to examine the validity of these hypotheses implied in the conventional analysis. Further we propose an adaptive method to detect the state changes of the heart rate signal. The method has been applied to the data recorded from a rat as an illustrative example.
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Keyword(in English) Adaptive Signal Processing / Volterra filter / Nonlinear Autoregressive Model / Heart Rate Variavility / Akaike Information Criterion
Paper # MBE2002-98
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Committee MBE
Conference Date 2003/1/18(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive Estimation of State Changes in Heart Rate Variability
Sub Title (in English)
Keyword(1) Adaptive Signal Processing
Keyword(2) Volterra filter
Keyword(3) Nonlinear Autoregressive Model
Keyword(4) Heart Rate Variavility
Keyword(5) Akaike Information Criterion
1st Author's Name Takashi CHIKUMA
1st Author's Affiliation Department of Electronic Informatics, Hosei University()
2nd Author's Name Hirohisa MIZUTA
2nd Author's Affiliation Josai University
3rd Author's Name Kazuo YANA
3rd Author's Affiliation Reserch Institute, California California 800 Airport Blvd.
Date 2003/1/18
Paper # MBE2002-98
Volume (vol) vol.102
Number (no) 597
Page pp.pp.-
#Pages 4
Date of Issue