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一种基于对纺锤体质量的人工评分评估的自动纺锤体分析与检测系统。

An automatic spindle analysis and detection system based on the evaluation of human ratings of the spindle quality.

作者信息

Kumar A, Hofman W, Campbell K

出版信息

Waking Sleeping. 1979 Sep-Dec;3(4):325-33.

PMID:547486
Abstract

An evaluation of the spindle quality ranked by experienced human raters is described. The pattern discriminating criteria obtained from this evaluation are used for an automatic system based on the complex demodulation method. The performance of this automatic system is compared with both the human visual scoring and with a second automatic system employing phaselocked loop techniques. The performance of the complex demodulation is satisfactory. It also detects spindles buried in slow waves. It is not sensitive to the age of the subject. This method opens possibilities for research of either temporal or chemical (drugs etc.) effects on the characteristics of rhythmic activity, without being hampered by the arbitrary EEG jargon "alpha" or "sigma".

摘要

本文描述了由经验丰富的人类评分者对纺锤波质量进行的评估。从该评估中获得的模式判别标准被用于基于复解调方法的自动系统。将该自动系统的性能与人类视觉评分以及采用锁相环技术的第二个自动系统进行了比较。复解调的性能令人满意。它还能检测出埋在慢波中的纺锤波。它对受试者的年龄不敏感。这种方法为研究时间或化学(药物等)对节律性活动特征的影响开辟了可能性,而不受任意的脑电图术语“α”或“σ”的阻碍。

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