Abstract
To investigate the effect of odors on the electrogastrogram (EGG) results, the EGGs were measured during olfactory stimulation with different concentrations of lavender and grapefruit odorants. Because the EGGs have been proven to be nonlinear stochastic processes, nonlinear analyses were used to analyze the EGGs. There was no difference in the translation error estimated by Wayland algorithm for all experimental groups. Moreover, it was shown that the minimum embedding dimensions estimated by the false nearest neighbors (FNN) method varied with respect to the note and concentration of odorants. Because the FNN method adopts an arbitrary threshold setting, we estimated the minimum embedding dimension using our method without the threshold. As a result, the minimum embedding dimension was estimated and determined as 2 for all experimental groups, which is different from that of the FNN method. This is likely because the proposed method is less affected by noise compared to the FNN method. These results suggest that the nonlinear analyses of EGGs are suitable for evaluating the effects of olfactory stimulation.
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Takai, E., Nakane, K., Takada, H. (2023). Nonlinear Analyses of Electrogastrogram Measurements Taken During Olfactory Stimulation Altering Autonomic Nerve Activity. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14020. Springer, Cham. https://doi.org/10.1007/978-3-031-35681-0_18
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