一种基于微型计算机的系统，用于自动采集猫的脑电图并对其行为状态进行评分。

A microcomputer-based system for automated EEG collection and scoring of behavioral state in cats.

作者信息

Mamelak A, Quattrochi J J, Hobson J A

机构信息

Laboratory of Neurophysiology, Harvard Medical School, Boston, MA 02115.

出版信息

Brain Res Bull. 1988 Nov;21(5):843-9. doi: 10.1016/0361-9230(88)90055-x.

DOI:10.1016/0361-9230(88)90055-x

PMID:3219615

Abstract

A data acquisition and analysis system based on an Apple II microcomputer has been developed for use in sleep studies in the adult cat. The system reliably counts delta, spindle, and EMG waveforms, PGO waves, and REMs using amplitude and frequency criteria. These data can be used to algorithmically score sleep-wake state with high reliability (greater than 90% agreement with manual scoring). This method allows for automatic and quantitative analysis of selected EEG waveforms and sleep-wake states with less expense, more time savings, and greater convenience than manual scoring.

摘要

已开发出一种基于苹果 II 型微型计算机的数据采集与分析系统，用于成年猫的睡眠研究。该系统利用幅度和频率标准，可靠地对 δ 波、纺锤波、肌电图波形、脑桥-膝状体-枕叶（PGO）波和快速眼动（REM）进行计数。这些数据可用于通过算法对睡眠-觉醒状态进行评分，可靠性高（与人工评分的一致性大于 90%）。与人工评分相比，这种方法能够以更低的成本、更节省时间和更大的便利性，对选定的脑电图波形和睡眠-觉醒状态进行自动定量分析。