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Published in:
Implicit Measures as a Useful Tool for Evaluating User Experience Read chapter Read first chapter

2021 | OriginalPaper | Chapter

A Study of Classification for Electrogastrograms Before/After Caloric Intake Using Autoencoder

Authors : Kohki Nakane, Keita Ichikawa, Rentaro Ono, Yasuyuki Matsuura, Hiroki Takada

Published in: Universal Access in Human-Computer Interaction. Design Methods and User Experience

Publisher: Springer International Publishing

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Abstract

There are few reports to compare gastrointestinal motility in a seated posture and that in a supine posture for the evaluation of the severity of the motion sickness. It is difficult to distinguish between postural differences by using nonlinear analysis of the electrogastrograms (EGGs) of healthy individuals. The purpose of this study was to determine the feasibility of applying a complex dynamic analysis method to the EGGs of healthy young individuals between in a seated posture caloric intake and those in a supine posture after caloric intake. We analyzed EGGs by using artificial intelligence (AI) and compared mathematical models of EGGs in the seated posture with those in the supine.

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previous chapter Design and Validation of a Stress Detection Model for Use with a VR Based Interview Simulator for Autistic Young Adults
next chapter Building an Ecologically Valid Facial Expression Database – Behind the Scenes
Appendix
Available only for authorised users
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Metadata
Title
A Study of Classification for Electrogastrograms Before/After Caloric Intake Using Autoencoder
Authors
Kohki Nakane
Keita Ichikawa
Rentaro Ono
Yasuyuki Matsuura
Hiroki Takada
Copyright Year
2021
Book
Universal Access in Human-Computer Interaction. Design Methods and User Experience

Print ISBN: 978-3-030-78091-3

Electronic ISBN: 978-3-030-78092-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-78092-0_41