徐波の振幅変動と周波数変動特性を反映した脳波モデルの構成

概要

論文の詳細を見る
The awake background electroencephalogram (EEC) is the basic EEC for EEC interpretation, and it is important to represent its characteristics quantitatively. We have already proposed an EEC model consisting of sinusoidal waves with Markov process amplitude. This model can represent the characteristics of background EEGs appropriately, especially the α rhythm, which is the most important. However, slow waves (δ and θ waves) have slightly different characteristics-both the amplitude and frequency fluctuate. In this study, an EEC model consisting of sinusoidal waves with fluctuating amplitude and frequency was proposed to represent the characteristics of slow waves accurately. The theoretical power spectrum of the model was derived and used for determining the model parameters in the frequency domain. The α and β waves were represented by sinusoidal waves with amplitude fluctuation only, while the δ and θ waves were represented by sinusoidal waves with fluctuation of both amplitude and frequency. The features of the time series of the constructed model were compared with those of the raw EEC and satisfactory results were obtained. Furthermore, the rhythmicity of slow waves was quantitatively represented using the proposed model.
社団法人日本生体医工学会の論文
2003-09-10