首页> 外文期刊>Research Journal of Pharmaceutical, Biological and Chemical Sciences >Seizure Detection using Wavelet Packet Analysis and Density Estimates of EEG Signals Using a Novel Wavelet.
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Seizure Detection using Wavelet Packet Analysis and Density Estimates of EEG Signals Using a Novel Wavelet.

机译:使用小波包分析进行癫痫发作检测,并使用新型小波进行脑电信号密度估计。

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ABSTRACT Wavelet packet analysis is an effectual means for the analysis of EEG signals for epileptic seizure detection. In this paper a new wavelet named as `eegwav' which carries the likeness of an EEG wave pattern is used as the original wavelet. The statistical contents of the wavelet packets are analyzed to tell apart the seizure and seizure free EEG signal. The density estimate of the signal is also obtained using the mother wavelet `eegwav'. The wavelet based density estimator utilized her.
机译:摘要小波包分析是分析EEG信号以检测癫痫发作的有效手段。在本文中,一个名为“ eegwav”的新小波被用作原始小波,该小波带有脑电波波形的相似性。分析小波包的统计内容,以区分癫痫发作和无癫痫发作的EEG信号。信号的密度估计也可以使用母小波“ eegwav”获得。基于小波的密度估计器利用了她。

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