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

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

Unprecedented-scale Data Analytics Center (UDAC)

Tohoku University

Research output: Contribution to journal › Conference article › peer-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 language	English
Pages (from-to)	117-118
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	17
Issue number	1
Publication status	Published - 1995
Event	Proceedings 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 Sept 20 → 1995 Sept 23

Cite this

@article{2a6c1bb808734bea8b4d6c1307087f11,

title = "Trajectory analyses of time-varying multivariate cardiovascular dynamics based on a distance measure",

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.",

author = "Mitsuyuki Nakao and Ken Hirokawa and Naoyuki Kawachi and Mitsuaki Yamamoto and Masanori Munakata and Yutaka Imai and Keishi Abe",

year = "1995",

language = "English",

volume = "17",

pages = "117--118",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

note = "Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) ; Conference date: 20-09-1995 Through 23-09-1995",

}

Trajectory analyses of time-varying multivariate cardiovascular dynamics based on a distance measure. / Nakao, Mitsuyuki; Hirokawa, Ken; Kawachi, Naoyuki et al.
In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 17, No. 1, 1995, p. 117-118.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Trajectory analyses of time-varying multivariate cardiovascular dynamics based on a distance measure

AU - Nakao, Mitsuyuki

AU - Hirokawa, Ken

AU - Kawachi, Naoyuki

AU - Yamamoto, Mitsuaki

AU - Munakata, Masanori

AU - Imai, Yutaka

AU - Abe, Keishi

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0029429826&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029429826&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0029429826

SN - 0589-1019

VL - 17

SP - 117

EP - 118

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

IS - 1

T2 - Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2)

Y2 - 20 September 1995 through 23 September 1995

ER -

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

Abstract

Other files and links

Fingerprint

Cite this