Estimation for Minimum Embedding Dimension in Electrogastrograms During Olfactory Stimulation

Abstract

In order to investigate the potential as a quantitative method of odor evaluation, nonlinear analysis of electrogastrograms was performed. The determinism in the mathematical model generating electrogastrograms (EGGs) during olfactory stimulation was evaluated by the Wayland algorithm. The results showed that the translation error increased with the concentration of the odor samples. The minimum embedding dimension of the attractor reconstructed from the EGGs was estimated by the false nearest neighbors method and was estimated to be 5 to 8 dimensions. However, it was considered necessary to evaluate using the method eliminated the arbitrariness of the threshold value because the minimum embedding dimension varied depending on the threshold value.