Linearity assessment of heart rate time series

Details

Serval ID
serval:BIB_C061B6F39C8D
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Title
Linearity assessment of heart rate time series
Title of the conference
Proceedings of the 18th Annual International Conference of IEEE Engineering in Medicine and Biology Society
Author(s)
Gruter R., Vesin J.M., Pruvot E., Seydoux C., Fromer M.
Address
Amsterdam, Netherlands, October 31-November 3, 1996
ISBN
0-7803-3812-X
Publication state
Published
Issued date
1997
Editor
Boom H., Robinson C., Rutten W., Neuman M., Wijkstra H.
Pages
1608-1609
Language
english
Notes
Publication type : Proceedings Paper
Abstract
We present a new technique based on the combination of a polynomial model estimation and a statistical criterion to examine the non-linear nature of the heart rate signal. The method is applied to signals coming from control subjects and heart transplant patients under spontaneous and controlled respiration. We show that controlled respiration adds significant linearity to the heart rate signal compared to the spontaneous one. Furthermore, it seems to introduce more linearity to control subjects than to heart transplant patients. Finally, examining the influence of a standard resampling algorithm on the heart rate characteristics, we demonstrate that this kind of pre-processing clearly injects linearity into the structure of the heart rate signal.
Keywords
,
Create date
10/10/2011 17:26
Last modification date
20/08/2019 15:34
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