シオザワ　トモキ   SHIOZAWA Tomoki   塩澤　友規    所属   青山学院大学  経営学部 経営学科    職種   教授
言語種別	英語
発行・発表の年月	2023/11
形態種別	学術雑誌
査読	査読あり
標題	A Study on Variational Autoencoder to Extract Characteristic Patterns from Electroencephalograms and Electrogastrograms.
執筆形態	共同
掲載誌名	HCI International 2023 – Late Breaking Papers
掲載区分	国外
巻・号・頁	pp.168-178
総ページ数	11
著者・共著者	Nakane　K., Sugie R., Nakayama M., Matsuura Y., Shiozawa T., Hiroki Takada
概要	Abstract Autoencoder (AE) is known as an artificial intelligence (AI), which is considered to be useful to analyze the bio-signal (BS) and/or conduct simulations of the BS. We can show examples to study Electrogastrograms (EGGs) and Electroencephalograms (EEGs) as a BS. In previous study, we have analyzed the EGGs by using the AE and have compared mathematical models of EGGs in the seated posture with those in the supine. The EEGs of normal subjects and patients with Meniere’s disease were herein converted to lower dimensions using Variational AE (VAE). The existence of characteristic differences was verified.
researchmap用URL	https://link.springer.com/chapter/10.1007/978-3-031-48038-6_11