期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：7001
DOI：10.15680/IJIRCCE.2016.0404105
出版社：S&S Publications
摘要：EEG (Electroencephalogram) signal is a neuro - signal which is generated due the different electrical activities in the brain. Different types of electrical activities correspond to different states of the brain. These sig nals can be captured and processed to get the useful information that can be used in early detection of some mental diseases. Raw EEG signals are captured by using Neurosky Mindwave EEG headset and sent to an android application via Bluetooth. The applicat ion generates a CSV file which is exported to MATLAB for further processing. FFT is used to convert the signal from time domain to frequency domain and Butterworth filter is used to extract various frequency bands like alpha, beta, delta and theta. For eac h of these frequency bands, Relative Energy Ratio (RER) in terms of Energy Spectral Density is calculated which indicates the dominant frequency band and the corresponding stress level
关键词：EEG; Neurosky Mindwave; Energy Spectral Density; Relative Energy Ratio; Spectral Centroid
