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Letter

On Metric Space for Discrimination by Using an Artificial Algorithm Imitating the Empirical Rule—As an Example of Support to Clasificate REM Sleep Behavior Disorder

Hiroki Takada¹*, Fumiya Kinoshita^1,2, Kazuya Ikeda³, Takuya Imaeda³, Toru Tanimura¹, Yusuke Jono¹, Meiho Nakayama⁴ and Masumi Takada⁵

¹Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan
²Faculty of Engineering, Toyama Prefectural University, 5180 Kurokawa, Imizu-shi, Toyama 939-0398, Japan
³Faculty of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan
⁴Good Sleep Center, Nagoya City University, 1 Kawasumi, Mizuho, Nagoya 467-8601, Japan
⁵Chubu Gakuin University, 2-1 Kirigaoka, Seki, Gifu 501-3993, Japan
*E-mail address: takada@u-fukui.ac.jp

(Received March 23, 2017; Accepted April 25, 2018)

Abstract. As an example of “automatic algorithms” imitating human discrimination by persons with specialized knowledge and skills based on their sensory information in accordance with the empirical rule not clearly written, we developed algorithms imitating visual assessments to evaluate REM sleep not accompanied by a decrease in muscle activity.

Keywords: REM Sleep Behavior Disorder (RBD), Polysomnography, REM Sleep without Atonia (RWA)