標題: | Self-adjustments may account for the contradictory correlations between HRV and motion-sickness severity |
作者: | Lin, Chun-Ling Jung, Tzyy-Ping Chuang, Shang-Wen Duann, Jeng-Ren Lin, Chin-Teng Chiu, Tzai-Wen 生物科技學系 電控工程研究所 腦科學研究中心 Department of Biological Science and Technology Institute of Electrical and Control Engineering Brain Research Center |
關鍵字: | Motion sickness (MS);Heart rate variability (HRV);Electrocardiogram (ECG);Normalized low frequency (NLF);Normalized high frequency (NHF);LF/HF ratio;Linear regression |
公開日期: | 1-Jan-2013 |
摘要: | This study investigates the relationship between heart rate variability (HRV) and the level of motion sickness (MS) induced by simulated tunnel driving. The HRV indices, normalized low frequency (NLF, 0.04-0.15 Hz), normalized high frequency (NHF, 0.15-0.4 Hz), and LF/HF ratio were correlated with the subjectively and continuously rated MS levels of 20 participants. The experimental results showed that for 13 of the subjects, the MS levels positively correlated with the NLF and the LF/HF ratio and negatively correlated with the NHF. The remaining seven subjects had negative correlations between the MS levels and the NLF and the LF/HF ratio and a positive correlation between the MS levels and the NHF. To clarify this contradiction, this study also inspected the effects of subjects' self-adjustments on the correlations between the MS levels and the HRV indices and showed that the variations in the relationship might be attributed to the subjects' self-adjustments, which they used to relieve the discomfort of MS. (C) 2012 Elsevier B.V. All rights reserved. |
URI: | http://dx.doi.org/10.1016/j.ijpsycho.2012.11.003 http://hdl.handle.net/11536/21272 |
ISSN: | 0167-8760 |
DOI: | 10.1016/j.ijpsycho.2012.11.003 |
期刊: | INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY |
Volume: | 87 |
Issue: | 1 |
起始頁: | 70 |
結束頁: | 80 |
Appears in Collections: | Articles |
Files in This Item:
If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.