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棘波和慢波暴发的自动识别。

Automatic recognition of spike and wave bursts.

作者信息

Principe J C, Smith J R

出版信息

Electroencephalogr Clin Neurophysiol Suppl. 1985;37:115-32.

PMID:3924556
Abstract

This paper reviews previous methods and describes a new method for the detection of spike and wave bursts in a single EEG channel. The complete detector is readily implemented in a 16-bit microprocessor. The burst detection relies on the detection of both spikes and waves and also imposes a requirement on the repetition rate of the slow waves. The system agreement with electroencephalographers was over 90% for spike and wave bursts longer than 3 sec in duration, with a false detection rate of one error in 5.8 h for bursts of the same length. The system also computes the mean value and variance of the amplitude and duration of the spikes and slow waves as well as the period of the spike and wave complexes. The EEGs of 6 patients suffering from petit mal epilepsy were analyzed. The variance of the amplitude measures was found to be much greater than that of the period measurements. For all patients the repetition period of the waves decreased for longer bursts, as did the variability of the repetition period. The difficult problem of false detections due to artifacts is discussed in detail.

摘要

本文回顾了先前的方法,并描述了一种用于检测单个脑电图(EEG)通道中棘波和慢波爆发的新方法。完整的检测器易于在16位微处理器中实现。爆发检测依赖于对棘波和慢波的检测,并且对慢波的重复率也有要求。对于持续时间超过3秒的棘波和慢波爆发,该系统与脑电图专家的一致性超过90%,对于相同长度的爆发,误检率为每5.8小时出现一次错误。该系统还计算棘波和慢波的幅度、持续时间的平均值和方差以及棘波和慢波复合体的周期。分析了6例失神性癫痫患者的脑电图。发现幅度测量的方差远大于周期测量的方差。对于所有患者,较长爆发的波重复周期缩短,重复周期的变异性也降低。详细讨论了由伪迹导致的误检这一难题。

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Automatic detection of spike-and-wave bursts in ambulatory EEG recordings.
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Machine detection of spike-wave activity in the EEG and its accuracy compared with visual interpretation.脑电图中棘波活动的机器检测及其与视觉判读相比的准确性。
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