Attention state analysis based on the improved k nearest neighbour network
Chengcheng Liu, Xiaolin Huang, Jin Li, Qianli Ma · 2015
In this paper, a method of analysis attention state based on the time series transformed by the improved k nearest neighbour network is proposed.In the proposed method, counting number state EEG signals and closing eyes state EEG signals are constructed into networks by the improved k nearest neighbour network respectively, and each networks are converted into time series, which are compared with original EEG time series by means of analysis of power spectrum.The results show that studying power spectrum of time series from network is more easily than original time series to distinguish between counting number state EEG signals and closing eyes state EEG signals.We confirmed that the proposed method could be of practical use.