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[多导睡眠图数据的计算机分析]

[Computer analysis of polysomnographic data].

作者信息

Uchida S

机构信息

Department of Psychophysiology, Tokyo Institute of Psychiatry.

出版信息

Nihon Rinsho. 1998 Feb;56(2):493-8.

PMID:9503857
Abstract

Polysomnogram measures electroencephalogram (EEG), electrooculogram (EOG) and chin electromyogram (EMG) to monitor ever-changing brain state during sleep. Polysomnigraphic records are usually scored visually according to Rechtschaffen and Kales' manual. However, scoring more than 1400 pages of record is very time consuming. Therefore, automated scorer has been awaited. However, when a computer makes a hypnogram, it uses a lot of parameters, such as alpha rhythm, sleep spindles, sleep delta waves, rapid eye movements or tonic chin EMG levels. Continuous across night patterns of these parameters provide more important and detailed physiological information than that provided by hypnogram. In this article, the author reviewed analysis methods for EEG, EOG and EMG and discussed the importance of examining continuous across night patterns of sleep parameters.

摘要

多导睡眠图通过测量脑电图(EEG)、眼电图(EOG)和颏肌电图(EMG)来监测睡眠期间不断变化的脑状态。多导睡眠图记录通常根据 Rechtschaffen 和 Kales 的手册进行目视评分。然而,对超过 1400 页的记录进行评分非常耗时。因此,人们一直期待有自动评分器。然而,当计算机生成睡眠图时,它会使用许多参数,如阿尔法节律、睡眠纺锤波、睡眠δ波、快速眼动或紧张性颏肌 EMG 水平。这些参数的整夜连续模式提供的生理信息比睡眠图提供的更重要、更详细。在本文中,作者回顾了 EEG、EOG 和 EMG 的分析方法,并讨论了检查睡眠参数整夜连续模式的重要性。

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