Preliminary study on the estimation of Emax using single-beat methods during assistance with rotary blood pumps

Telma Keiko Sugai, Akira Tanaka, Makoto Yoshizawa, Yasuyuki Shiraishi, Atsushi Baba, Tomoyuki Yambe, Shin Ichi Nitta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recently, rotary blood pumps (RBPs) have been used as bridge to recovery. In such application the RBP might be weaned once the cardiac function has been recovered. In such cases, the detection of the cardiac function is fundamental for the treatment efficiency. However, most of the widely used cardiac function indices (CFIs) were proposed for unassisted hearts and have not been completely evaluated under assistance. In contrast, Emax, which is known as a reliable CFI, has already been validated under assistance with RBP. However, since the conventional method for the estimation of Emax has some limitations for the clinical application, the objective of this study was to evaluate different single-beat estimation methods qualitatively and also quantitatively using in vivo data. The preliminary results showed that although singlebeat estimation have more clinical applicability, not all those estimation methods are suitable for the RBP assistance.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages973-976
Number of pages4
Publication statusPublished - 2008 Dec 1
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: 2008 Aug 202008 Aug 25

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period08/8/2008/8/25

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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