Cargando…

Evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate

BACKGROUND: Computer graphics and virtual reality techniques are useful to develop automatic and effective rehabilitation systems. However, a kind of virtual environment including unstable visual images presented to wide field screen or a head mounted display tends to induce motion sickness. The mot...

Descripción completa

Detalles Bibliográficos
Autores principales: Sugita, Norihiro, Yoshizawa, Makoto, Abe, Makoto, Tanaka, Akira, Watanabe, Takashi, Chiba, Shigeru, Yambe, Tomoyuki, Nitta, Shin-ichi
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2048507/
https://www.ncbi.nlm.nih.gov/pubmed/17903249
http://dx.doi.org/10.1186/1743-0003-4-35
_version_ 1782137154267250688
author Sugita, Norihiro
Yoshizawa, Makoto
Abe, Makoto
Tanaka, Akira
Watanabe, Takashi
Chiba, Shigeru
Yambe, Tomoyuki
Nitta, Shin-ichi
author_facet Sugita, Norihiro
Yoshizawa, Makoto
Abe, Makoto
Tanaka, Akira
Watanabe, Takashi
Chiba, Shigeru
Yambe, Tomoyuki
Nitta, Shin-ichi
author_sort Sugita, Norihiro
collection PubMed
description BACKGROUND: Computer graphics and virtual reality techniques are useful to develop automatic and effective rehabilitation systems. However, a kind of virtual environment including unstable visual images presented to wide field screen or a head mounted display tends to induce motion sickness. The motion sickness induced in using a rehabilitation system not only inhibits effective training but also may harm patients' health. There are few studies that have objectively evaluated the effects of the repetitive exposures to these stimuli on humans. The purpose of this study is to investigate the adaptation to visually induced motion sickness by physiological data. METHODS: An experiment was carried out in which the same video image was presented to human subjects three times. We evaluated changes of the intensity of motion sickness they suffered from by a subjective score and the physiological index ρ(max), which is defined as the maximum cross-correlation coefficient between heart rate and pulse wave transmission time and is considered to reflect the autonomic nervous activity. RESULTS: The results showed adaptation to visually-induced motion sickness by the repetitive presentation of the same image both in the subjective and the objective indices. However, there were some subjects whose intensity of sickness increased. Thus, it was possible to know the part in the video image which related to motion sickness by analyzing changes in ρ(max )with time. CONCLUSION: The physiological index, ρ(max), will be a good index for assessing the adaptation process to visually induced motion sickness and may be useful in checking the safety of rehabilitation systems with new image technologies.
format Text
id pubmed-2048507
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-20485072007-11-01 Evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate Sugita, Norihiro Yoshizawa, Makoto Abe, Makoto Tanaka, Akira Watanabe, Takashi Chiba, Shigeru Yambe, Tomoyuki Nitta, Shin-ichi J Neuroengineering Rehabil Research BACKGROUND: Computer graphics and virtual reality techniques are useful to develop automatic and effective rehabilitation systems. However, a kind of virtual environment including unstable visual images presented to wide field screen or a head mounted display tends to induce motion sickness. The motion sickness induced in using a rehabilitation system not only inhibits effective training but also may harm patients' health. There are few studies that have objectively evaluated the effects of the repetitive exposures to these stimuli on humans. The purpose of this study is to investigate the adaptation to visually induced motion sickness by physiological data. METHODS: An experiment was carried out in which the same video image was presented to human subjects three times. We evaluated changes of the intensity of motion sickness they suffered from by a subjective score and the physiological index ρ(max), which is defined as the maximum cross-correlation coefficient between heart rate and pulse wave transmission time and is considered to reflect the autonomic nervous activity. RESULTS: The results showed adaptation to visually-induced motion sickness by the repetitive presentation of the same image both in the subjective and the objective indices. However, there were some subjects whose intensity of sickness increased. Thus, it was possible to know the part in the video image which related to motion sickness by analyzing changes in ρ(max )with time. CONCLUSION: The physiological index, ρ(max), will be a good index for assessing the adaptation process to visually induced motion sickness and may be useful in checking the safety of rehabilitation systems with new image technologies. BioMed Central 2007-09-28 /pmc/articles/PMC2048507/ /pubmed/17903249 http://dx.doi.org/10.1186/1743-0003-4-35 Text en Copyright © 2007 Sugita et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Sugita, Norihiro
Yoshizawa, Makoto
Abe, Makoto
Tanaka, Akira
Watanabe, Takashi
Chiba, Shigeru
Yambe, Tomoyuki
Nitta, Shin-ichi
Evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate
title Evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate
title_full Evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate
title_fullStr Evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate
title_full_unstemmed Evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate
title_short Evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate
title_sort evaluation of adaptation to visually induced motion sickness based on the maximum cross-correlation between pulse transmission time and heart rate
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2048507/
https://www.ncbi.nlm.nih.gov/pubmed/17903249
http://dx.doi.org/10.1186/1743-0003-4-35
work_keys_str_mv AT sugitanorihiro evaluationofadaptationtovisuallyinducedmotionsicknessbasedonthemaximumcrosscorrelationbetweenpulsetransmissiontimeandheartrate
AT yoshizawamakoto evaluationofadaptationtovisuallyinducedmotionsicknessbasedonthemaximumcrosscorrelationbetweenpulsetransmissiontimeandheartrate
AT abemakoto evaluationofadaptationtovisuallyinducedmotionsicknessbasedonthemaximumcrosscorrelationbetweenpulsetransmissiontimeandheartrate
AT tanakaakira evaluationofadaptationtovisuallyinducedmotionsicknessbasedonthemaximumcrosscorrelationbetweenpulsetransmissiontimeandheartrate
AT watanabetakashi evaluationofadaptationtovisuallyinducedmotionsicknessbasedonthemaximumcrosscorrelationbetweenpulsetransmissiontimeandheartrate
AT chibashigeru evaluationofadaptationtovisuallyinducedmotionsicknessbasedonthemaximumcrosscorrelationbetweenpulsetransmissiontimeandheartrate
AT yambetomoyuki evaluationofadaptationtovisuallyinducedmotionsicknessbasedonthemaximumcrosscorrelationbetweenpulsetransmissiontimeandheartrate
AT nittashinichi evaluationofadaptationtovisuallyinducedmotionsicknessbasedonthemaximumcrosscorrelationbetweenpulsetransmissiontimeandheartrate