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Heart Rate Variability Responses to Visually Induced Motion Sickness

Molefi, Emmanuel, McLoughlin, Ian Vince, Palaniappan, Ramaswamy (2023) Heart Rate Variability Responses to Visually Induced Motion Sickness. In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). . IEEE (doi:10.1109/EMBC40787.2023.10340636) (KAR id:100885)


Analysis of heart rate variability (HRV) can reveal a range of useful information regarding the dynamics of the autonomic nervous system (ANS). It is considered a robust and reliable tool to understand even some subtle changes in ANS activity. Here, we study the “hidden” characteristic changes in HRV during visually induced motion sickness; using nonlinear analytical methods, supplemented by conventional time- and frequency-domain analyses. We computed HRV from electrocardiograms (ECG) of 14 healthy participants measured at baseline and during nausea. Primarily hypothesizing evident differences in measures of physiologic complexity (SampEn; sample entropy, FuzzyEn; fuzzy entropy), chaos (LLE; largest Lyapunov exponent) and Poincare ́/Lorenz (CSI; cardiac sympathetic activity, CVI; cardiac vagal index) between the two states. We found that during nausea, participants showed a markedly higher degree of regularity (SampEn, p = 0.0275; FuzzyEn, p = 0.0006), with a less chaotic ANS response (LLE, p = 0.0004). CSI significantly increased during nausea compared to baseline (p = 0.0005), whereas CVI did not appear to be statistically different between the two states (p = 0.182). Our findings suggest that motion sickness-induced ANS perturbations may be quantifiable via nonlinear HRV indices. These findings have implications for understanding the malaise of motion sickness and in turn, aid development of therapeutic interventions to relieve motion sickness symptoms.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/EMBC40787.2023.10340636
Projects: DTP 2020-2021 University of Kent
Additional information: For the purpose of open access, the author has applied a CC BY public copyright licence (where permitted by UKRI, an Open Government Licence or CC BY ND public copyright licence may be used instead) to any Author Accepted Manuscript version arising.
Uncontrolled keywords: motion sickness
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
R Medicine > R Medicine (General) > R858 Computer applications to medicine. Medical informatics. Medical information technology
T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders: Engineering and Physical Sciences Research Council (
Depositing User: Emmanuel Molefi
Date Deposited: 13 Apr 2023 16:07 UTC
Last Modified: 16 May 2024 13:51 UTC
Resource URI: (The current URI for this page, for reference purposes)

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