嗅覚刺激時の胃電図における最小埋め込み次元推定

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2022/12/01

タイトル(英語): Estimation for Minimum Embedding Dimension in Electrogastrograms During Olfactory Stimulation

著者名: 高井　英司（曽田香料（株）／福井大学大学院工学研究科），中根　滉稀（福井大学大学院工学研究科），高田　宗樹（福井大学大学院工学研究科）

著者名(英語): Eiji Takai (Soda Aromatic Co., Ltd./Graduate School of Engineering, University of Fukui), Kohki Nakane (Graduate School of Engineering, University of Fukui), Hiroki Takada (Graduate School of Engineering, University of Fukui)

キーワード: 胃電図，嗅覚刺激，埋め込み次元，Waylandアルゴリズム，誤り近傍法_x000D_　　electrogastrogram (EGG)，olfactory stimulation，embedding dimension，Wayland algorithm，false nearest neighbors (FNN)

要約(英語): 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.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.142 No.12 （2022） 特集：電気・電子・情報関係学会東海支部連合大会

本誌掲載ページ: 1348-1349 p

原稿種別: 研究開発レター／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/142/12/142_1348/_article/-char/ja/