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首页> 外文期刊>International Journal of Engineering Research and Applications >Detection of an Alpha Rhythm of EEG Signal Based On EEGLAB
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Detection of an Alpha Rhythm of EEG Signal Based On EEGLAB

机译：基于EEGLAB的脑电信号α节律检测

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The EEG (Electroencephalogram) is the electrical activity of brain that can be detected and measured by putting electrodes according to international 10-20 system on the scalp. There are four major frequency rhythms in EEG. Alpha is one of the frequency bands. This rhythm is very important because of its application in seizure suppression and for treatment of depression in biofeedback method. Hence detection of alpha band's place and patient state has importance. However EEG waves contain useful information of brain, but we cannot see these information by observing in time domain directly. Hence we have to analyze these waveforms by signal processing techniques. In this paper, EEGLAB is used for processing and taking power spectrum density (PSD), which explains ho w the power of a signal is distributed with frequency. PSD of different subjects with open and closed eyes is shown in this paper. EEG data are downloaded from free database physio net in MIT/BIH database. It is observed that alpha rhythm in back of head and with closed eyes has dominant power in periodgram
机译：脑电图（EEG）是可以通过根据国际10-20系统在头皮上放置电极来检测和测量大脑的电活动。脑电图有四个主要的频率节律。 Alpha是频段之一。这种节律非常重要，因为它在癫痫发作抑制中的应用以及在生物反馈方法中用于治疗抑郁症。因此，检测阿尔法谱带的位置和患者状态非常重要。然而，脑电波包含有用的大脑信息，但我们无法通过直接在时域中进行观察来看到这些信息。因此，我们必须通过信号处理技术来分析这些波形。在本文中，EEGLAB用于处理和获取功率谱密度（PSD），这说明了信号的功率随频率分布的方式。本文展示了睁开和闭眼的不同对象的PSD。 EEG数据是从MIT / BIH数据库中的免费数据库生理网上下载的。观察到，头部后部和闭眼的α节律在周期图中具有主导作用

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