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首页> 外文会议>ICMIT 2005: Mechatronics, MEMS, and Smart Materials >Wavelet package frequency-band energy ratios of human EEG signals in sleeping
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Wavelet package frequency-band energy ratios of human EEG signals in sleeping

机译：人脑电信号在睡眠中的小波包频带能量比

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摘要

Human EEG (Electroencephalogram) signals, including 4 rhythms i.e. δ, θ, α, β, are typically nonlinear. They just coincide with different human sleeping states. The wavelet package decomposition and reconstruction techniques are firstly introduced in order to analyze the nonlinear EEG. A 6 level decomposition of EEG was achieved with "db20" as the mother wavelet, and the above 4 rhythms were combined with specialized 8 frequency sub-bands obtained in wavelet package transform. The four frequency band energy ratios, with normalized values, were calculated from the reconstructed signals. These frequency band energy ratios are used as quantify estimation indexes for human sleeping states. The experimental results confirm the proposed method to be effective.
机译：包括4个节律即δ，θ，α，β的人类EEG（脑电图）信号通常是非线性的。它们只是与人类不同的睡眠状态相吻合。为了分析非线性脑电图，首先介绍了小波包分解和重构技术。以“ db20”为母小波，实现了6级脑电信号的分解，将上述4个节律与小波包变换获得的8个专门的频率子带相结合。从重构的信号中计算出具有标准化值的四个频带能量比。这些频带能量比用作人类睡眠状态的量化估计指标。实验结果证实了该方法的有效性。

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