Microstates as a Tool for Identifying Dreaming in a Sleep EEG

被引：0

作者：

Piorecky, Marek ^{[1
,2
]}

Padevetova, Stepanka ^{[2
]}

机构：

[1] Natl Inst Mental Hlth, NIMH, Klecany 25067, Czech Republic

[2] Czech Tech Univ, Fac Biomed Engn, Dept Biomed Technol, Kladno 27201, Czech Republic

来源：

2021 INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING (EHB 2021), 9TH EDITION | 2021年

关键词：

microstate analysis; EEG; sleep; dreaming; k-NN;

D O I：

10.1109/EHB52898.2021.9657703

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

Sleep plays an important role in both physical and mental health. One of its parts is also dreaming. It is possible that dreaming helps us with memory consolidation, coping with experiences, and more. But the exact meaning of dreaming has not yet been described. If we are able to identify the time when dreaming occurs, then the electrical activity of the brain could explain the processes that are connected with dreaming and their effect on the body. In this study, we propose an approach to identify dreaming using short event analysis of microstates and its classification by the k-NN method.

引用

页数：4

共 10 条

[1]

American Academy of Sleep Medicine, 2007, The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications

[2] Visual dream content, graphical representation and EEG alpha activity in congenitally blind subjects [J].