Evaluating steady-state visually-evoked potentials using ensemble learning methods Durağan hal görsel uyarılmış potansiyellerin topluluk öğrenmesi yöntemleriyle değerlendirilmesi

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ÖZETSteady-state visual evoked potentials (SSVEPs) have been designated to be appropriate and useful for many areas in clinical neuroscience, cognitive, and in engineering. SSVEPs have become popular recently, due to their advantages such as high bit rate, simple system structure, and short training time, etc. To design SSVEP based BCI system, signal processing methods appropriate to the signal structure should be applied. One of the most appropriate signal processing methods of these non-stationary signals is the Wavelet Transform. After literature searched, we noticed that there was no study ...Daha fazlası