首页> 外文会议>Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES) >Oscillatory events in the human sleep EEG—detection and properties
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Oscillatory events in the human sleep EEG—detection and properties

机译:人类睡眠脑电图中的振荡事件-检测和性质

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摘要

A new algorithm for the detection of oscillatory events in the EEG is presented. By estimating autoregressive models on short segments the sleep EEG is described as a superposition of stochastically driven harmonic oscillators with damping and frequencies varying in time. Oscillatory events are detected, whenever the damping of one or more frequencies is smaller than a predefined threshold. The algorithm works well for the detection of sleep spindles as well as for delta and alpha waves. The distribution of the time intervals between the detected sleep spindles shows maxima around 3-4 s. It is discussed whether this maximum originates from slow oscillations or from stochasticity.
机译:提出了一种检测脑电信号振荡事件的新算法。通过估计短段上的自回归模型,睡眠EEG被描述为具有阻尼和频率随时间变化的随机驱动谐波振荡器的叠加。每当一个或多个频率的阻尼小于预定阈值时,都会检测到振荡事件。该算法非常适合检测睡眠纺锤以及三角波和阿尔法波。在检测到的睡眠纺锤之间的时间间隔分布显示出约3-4 s的最大值。将讨论此最大值是源自缓慢振荡还是来自随机性。

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