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Abstract
Passive translational acceleration (PTA) has been demonstrated to induce the stress response and regulation of autonomic balance in healthy individuals. Electrodermal activity (EDA) and heart rate variability (HRV) measurements are reliable indicators of the autonomic nervous system (ANS) and can be used to assess stress levels. The objective of this study was to investigate the potential of combining EDA and HRV measurements in assessing the physiological stress response induced by PTA. Fourteen healthy subjects were randomly assigned to two groups of equal size. The experimental group underwent five trials of elevator rides, while the control group received a sham treatment. EDA and HRV indices were obtained via ultra-short-term analysis and compared between the two groups to track changes in the ANS. In addition, the complexity of the EDA time series was compared between the 4 s before and the 2–6 s after the onset of PTA to assess changes in the subjects' stress levels in the experimental group. The results revealed a significant increase in the skin conductance response (SCR) frequency and a decrease in the root mean square of successive differences (RMSSD) and high frequency (HF) components of HRV. In terms of stress assessment, the results showed an increase in the complexity of the EDA time series 2–6 s after the onset of PTA. These results indicate an elevation in sympathetic tone when healthy subjects were exposed to a translational transport scenario. Furthermore, evidence was provided for the ability of EDA complexity to differentiate stress states in individual trials of translational acceleration.
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Details
1 China Jiliang University, College of Metrology and Measurement Engineering, Hangzhou, China (GRID:grid.411485.d) (ISNI:0000 0004 1755 1108)
2 China Jiliang University, College of Mechanical and Electrical Engineering, Hangzhou, China (GRID:grid.411485.d) (ISNI:0000 0004 1755 1108)
3 Xizi Elevator Co., Ltd., Hangzhou, China (GRID:grid.411485.d)
4 Zhejiang University of Technology, Hangzhou, China (GRID:grid.469325.f) (ISNI:0000 0004 1761 325X)