Berthomier C, Prado J, Benoit O
E.N.S.T., Paris, France.
Biomed Sci Instrum. 1997;34:119-24.
Time-frequency or time-scale methods are well suited for short events as well as for large waveforms detection tasks. Filter banks analysis is an easy and quick computing way to implement these methods. We propose a non-uniform oversampled filter banks to analyze EEG single channel signal, the different subbands matching the classical EEG rhythms. We use oversampled filter banks to preserve the temporal shapes information. In order to illustrate this method, we show different spindle temporal structures as also their meaning in terms of sleep stage detection.
时频或时标方法非常适合短事件以及大波形检测任务。滤波器组分析是实现这些方法的一种简单快速的计算方式。我们提出一种非均匀过采样滤波器组来分析脑电图单通道信号，不同子带匹配经典的脑电节律。我们使用过采样滤波器组来保留时间形状信息。为了说明这种方法，我们展示了不同的纺锤波时间结构及其在睡眠阶段检测方面的意义。
