Trajectory analyses of time-varying multivariate cardiovascular dynamics based on a distance measure

Mitsuyuki Nakao, Ken Hirokawa, Naoyuki Kawachi, Mitsuaki Yamamoto, Masanori Munakata, Yutaka Imai, Keishi Abe

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

We have investigated the cardiovascular dynamics during physiological states such as sleep and wakefulness. Its time-dependent properties during transient states are modeled as time-varying multivariate autoregressive processes. The trajectory of multivariate dynamics are described in terms of Kullback-Leibler Divergence. The cardiovascular dynamics during the state transition from wakefulness to slow wave sleep (SWS) and from rapid eye movement sleep to SWS are tracked as their trajectories in the metric system space, which show the geometrical structure peculiar to the respective state transition.

Original languageEnglish
Pages (from-to)117-118
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume17
Issue number1
Publication statusPublished - 1995 Dec 1
EventProceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can
Duration: 1995 Sep 201995 Sep 23

ASJC Scopus subject areas

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

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