| Title | Evaluation of the optimal lengths and number of multiple windows for spectrogram estimation of SSVEP |
| Authors | Maria Sandsten |
| Alternative Location | http://dx.doi.org/10.1016/j..., Restricted Access |
| Publication | Medical Engineering & Physics |
| Year | 2010 |
| Volume | 32 |
| Issue | 4 |
| Pages | 372 - 383 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | Amsterdam : Elsevier Science |
| Abstract English | The purpose of this paper is to present the optimal number of<br> windows and window lengths using multiple window spectrogram for<br> estimation of non-stationary processes with shorter or longer<br> duration. Such processes could start in the EEG as a result of a<br> stimuli, e.g. steady-state visual evoked potentials (SSVEP). In many<br> applications the Welch method is used with standard set-ups for<br> window lengths and number of averaged spectra/spectrograms. This paper optimizes the<br> window lengths and number of windows of the Welch method and compare<br> the calculated mean squared error for this method with the optimal parameter choices of other more<br> recent, socalled, multiple window or multitaper methods. The results<br> could be useful in the choice of more optimal window functions for<br> spectrogram estimation in certain applications. Some examples of spectrogram estimation of<br> SSVEP are shown. |
| Keywords | Welch method, WOSA, Multiple Window Spectrogram, Peak Matched Multiple Windows, Time-Frequency analysis, EEG, SSVEP, Steady state visual evoked potentials, Locally Stationary Processes, Hermite functions., |
| ISBN/ISSN/Other | ISSN: 1873-4030 (online) |
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Last update: 2013-04-11
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