Addendum to: “Artificial Intelligence Analysis to Classify Electrogastrograms before/after Meal Load” [Forma, Vol. 37, pp. S23–S29, 2022]
2025 年 40 巻 1 号 p. 19
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2025 年 40 巻 1 号 p. 19
In our 2022 article, “Artificial Intelligence Analysis to Classify Electrogastrograms Before/After Meal Load” (Forma, Vol. 37, No. 2, pp. S23–S29, 2022), we would like to add the following relevant reference to the discussion of EGG classification before and after meal load. This addition clarifies the background of the approach discussed on p. S26 and should be added to the references on p. S29. This addendum does not alter the results or conclusions of the original article.
p. S29, References:
[18] Nakane, K., Ichikawa, K., Ono, R., Matsuura, Y., Takada, H. (2021). A Study of Classification for Electrogastrograms Before/After Caloric Intake Using Autoencoder. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Design Methods and User Experience. HCII 2021. Lecture Notes in Computer Science, vol. 12768. Springer, Cham. https://doi.org/10.1007/978-3-030-78092-0_41
We thank our readers for their continued interest in our work.
