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Evaluation of the optimal lengths and number of multiple windows for spectrogram estimation of SSVEP

Författare:
Publiceringsår: 2010
Språk: Engelska
Sidor: 372-383
Publikation/Tidskrift/Serie: Medical Engineering & Physics
Volym: 32
Nummer: 4
Dokumenttyp: Artikel
Förlag: Amsterdam : Elsevier Science

Sammanfattning

The purpose of this paper is to present the optimal number of
windows and window lengths using multiple window spectrogram for
estimation of non-stationary processes with shorter or longer
duration. Such processes could start in the EEG as a result of a
stimuli, e.g. steady-state visual evoked potentials (SSVEP). In many
applications the Welch method is used with standard set-ups for
window lengths and number of averaged spectra/spectrograms. This paper optimizes the
window lengths and number of windows of the Welch method and compare
the calculated mean squared error for this method with the optimal parameter choices of other more
recent, socalled, multiple window or multitaper methods. The results
could be useful in the choice of more optimal window functions for
spectrogram estimation in certain applications. Some examples of spectrogram estimation of
SSVEP are shown.

Disputation

Nyckelord

  • Mathematics and Statistics
  • Technology and Engineering
  • 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.

Övriga

Published
Yes
  • Statistical Signal Processing
  • Stochastics in Medicine
  • ISSN: 1350-4533 (print)
  • ISSN: 1873-4030 (online)

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