Abstract
The stability of the EEG during eyes closed and eyes open were tested by the statistical method. The EEG records of 25 s were segmented into ten 2.5 s intervals for each state. The mean and variance and power spectra (2.5 to 17.5 Hz at resolution of 2.5 Hz) were calculated for each segment of 2.5 s interval. Thus, the sequences of mean values, variances and power at each frequency component were obtained for 25 s epoch. The stationarity of these sequences were tested by the run test and the trend test. The stationarity of mean, variance and power spectra were not rejected for 25 s records by any of two tests. In the records of 50 s, about 10–20% of records tested were rejected. The nonstationarity of the EEG appeared for 50 s records. This means that the EEG during period the eyes were closed, or opened can be regarded as stationary over time period as long as at least 25 s.
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References
Barlow, J.S.: Autocorrelation and crosscorrelation analysis in electroencephalography. IEEE Trans. ME 6, 179–183 (1959)
Bendat, J.S., Piersol, A.G.: Measurement and analysis of random data. New York: J. Wiley 1966
Elul, R.: Gaussian behavior of the electroencephalogram: Change during performance of mental task. Science 164, 328–331 (1969)
Grass, A.M., Gibbs, F.A.: A fourier transform of the electroencephalogram. J. Neurophysiol. 1, 521–526 (1938)
Huber, P.J., Kleiner, B., Gasser, T., Dumermuth, G.: Statistical methods for investigating phase relations in stationary stochastic processes. IEEE Trans. Audio Electroacoustics 19, 78–95 (1971)
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Kawabata, N. Test of statistical stability of the electroencephalogram. Biol. Cybernetics 22, 235–238 (1976). https://doi.org/10.1007/BF00365089
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DOI: https://doi.org/10.1007/BF00365089