Delving into the Latest Updates on Kissei Comtec Co., Ltd. with Synapse

Overview

Sleep stage-specific intervention is widely used to elucidate the functions of sleep and their underlying mechanisms. For this intervention, it is imperative to accurately classify rapid-eye-movement (REM) sleep. However, the proof of fully automatic real-time REM sleep classification in vivo has not been obtained in mice. Here, we report the in vivo implementation of a system that classifies sleep stages in real-time from a single-channel electroencephalogram (EEG). It enabled REM sleep-specific intervention with 90 % sensitivity and 86 % precision without prior configuration to each mouse. We further derived systems capable of classification with higher frequency sampling and time resolution. This attach-and-go sleep staging system provides a fully automatic accurate and scalable tool for investigating the functions of sleep.

01 Jul 2021·Agricultural Information Research

Effect of Expansion Rate of Fruit Area on Fruit Growth Classification Using Convolutional Neural Networks

Author: Kobayashi, Kazuki ; Genno, Hirokazu

01 Oct 2020·Agricultural Information Research

Data Cleansing Using Deep Learning and Its Application to Apple Fruit Images

Author: Kobayashi, Kazuki ; Genno, Hirokazu

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