Independent component analysis of finger photoplethysmography for evaluating effects of visually-induced motion sickness

Makoto Abe, Makoto Yoshizawa, Norihiro Sugita, Akira Tanaka, Shigeru Chiba, Tomoyuki Yambe, Shin Ichi Nitta

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

1 Citation (Scopus)

Abstract

To evaluate the effects of visually-induced motion sickness that induces symptoms related to the autonomic nervous activity, we proposed a new method for obtaining the physiological index ρmax, which represents the maximum cross-correlation coefficient between blood pressure and heart rate, with measurement of neither continuous blood pressure nor ECG but using finger photoplethysmography only. In this study, a blood pressure-related parameter was obtained using the independent component analysis of finger photoplethysmography. Two experimental trials in which subjects performed the Valsalva maneuver and then they watched a swaying video image were carried out to evaluate the adequacy of the proposed method. The experimental results have shown that the proposed method worked successfully as well as the conventional method.

Original languageEnglish
Title of host publicationVirtual Reality - Second International Conference, ICVR 2007. Held as part of HCI International 2007, Proceedings
Pages177-184
Number of pages8
Publication statusPublished - 2007 Dec 1
Event2nd International Conference on Virtual Reality, ICVR 2007 - Beijing, China
Duration: 2007 Jul 222007 Jul 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4563 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Virtual Reality, ICVR 2007
CountryChina
CityBeijing
Period07/7/2207/7/27

Keywords

  • Baroreflex
  • Independent component analysis
  • Photoplethysmography
  • Visually-induced motion sickness

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Abe, M., Yoshizawa, M., Sugita, N., Tanaka, A., Chiba, S., Yambe, T., & Nitta, S. I. (2007). Independent component analysis of finger photoplethysmography for evaluating effects of visually-induced motion sickness. In Virtual Reality - Second International Conference, ICVR 2007. Held as part of HCI International 2007, Proceedings (pp. 177-184). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4563 LNCS).