The Continuous Study Of EEG's Alpha Wave By Wavelet Transform

With the development of scientific technological and progress of human society, the study of mankind is from the nature development to the society, but also developed into the study of human brain thinking, and the information processing of EEG is the typical areas. Wavelet analysis is a new multi-resolution analysis methods, it has been widely used in research of medicine, psychology and cognitive neuroscience with its excellent features and sophisticated analytical method.Significance: Alpha wave is the base wave which determined the speed of EEG, it has many important physiological significance. The relationship with age was discovered much earlier, many studies have proved that a wave has related to memory, cognitive ability, information processing and other functions of brain, and can be used as indicators of emotional performance. An important feature of wavelet analysis is to have a good time-frequency localization properties, dealing with such time-varying signal has a unique advantage. Therefore, it has observed that alpha wave's continuity of change under different stimulus events is very meaningful.Methods: This article explains how to use the Morlet wavelet transform to obtain EEG's alpha wave energy distribution over time, and according to the EEG data of mental arithmetic and hearing music experiment to obtain the changes of the alpha wave duration. This study was designed two experiments: mental arithmetic, music, the purpose is to observe the trend of the brain's alpha wave in information computing and information processing of music, Then do a more deep analysis of the relationship between alpha wave's continuous and the brain's function.Conclusion: Through calculation and analysis of experimental data, we can draw the following conclusions: During the experiment of mental arithmetic, male's alpha wave of left hemisphere is suppressed; when listening to music the alpha wave of the right hemisphere is suppressed, while women are no obvious bias, indicated that men's hemispheric dominance more pronounced than women. In listening to music, both male and female's alpha waves are more active, indicated that listen to music is very helpful to alpha wave and listening to music is very beneficial for the brain. In addition listening to unlike and like music of the alpha wave's duration is differently, so we can see that personal preference has large impact for sustainability of alpha wave and listening to liked music is more beneficial to alpha wave.