Linearity assessment of heart rate time series

Détails

ID Serval
serval:BIB_C061B6F39C8D
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Linearity assessment of heart rate time series
Titre de la conférence
Proceedings of the 18th Annual International Conference of IEEE Engineering in Medicine and Biology Society
Auteur⸱e⸱s
Gruter R., Vesin J.M., Pruvot E., Seydoux C., Fromer M.
Adresse
Amsterdam, Netherlands, October 31-November 3, 1996
ISBN
0-7803-3812-X
Statut éditorial
Publié
Date de publication
1997
Editeur⸱rice scientifique
Boom H., Robinson C., Rutten W., Neuman M., Wijkstra H.
Pages
1608-1609
Langue
anglais
Notes
Publication type : Proceedings Paper
Résumé
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.
Mots-clé
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Création de la notice
10/10/2011 17:26
Dernière modification de la notice
20/08/2019 15:34
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