Stationarity and normality test for biomedical data

作者: H. Sugimoto , N. Ishii , A. Iwata , N. Suzumura

DOI: 10.1016/0010-468X(77)90045-9

关键词:

摘要: Biomedical data, such as EEG, EMG and neural impulse sequences, are regarded the stochastic phenomena of biological systems, statistical properties time series often examined. Most analysis processed in frequency domain based on assumption that is weakly stationary normally distributed. Therefore, basis biomedical it necessary to know whether they satisfy conditions weak stationarity normality. However, response evoked potential not series. other required. In this paper, authors present four programs, TEST1, TEST2, TEST3 TEST4, examine above conditions. Furthermore, order clarify characteristic each program, were generated by computer examined test programs.

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