Evaluation of the optimal lengths and number of multiple windows for spectrogram estimation of SSVEP
(2010) In Medical Engineering & Physics 32(4). p.372-383- Abstract
- 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... (More) - 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1479088
- author
- Sandsten, Maria LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- 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.
- in
- Medical Engineering & Physics
- volume
- 32
- issue
- 4
- pages
- 372 - 383
- publisher
- Elsevier
- external identifiers
-
- wos:000277326400011
- pmid:20299271
- scopus:79952004496
- ISSN
- 1873-4030
- DOI
- 10.1016/j.medengphy.2010.01.009
- language
- English
- LU publication?
- yes
- id
- 43c54349-9d9d-4a00-ae3a-8e68f428a186 (old id 1479088)
- date added to LUP
- 2016-04-01 09:56:57
- date last changed
- 2022-01-25 18:15:27
@article{43c54349-9d9d-4a00-ae3a-8e68f428a186,
abstract = {{The purpose of this paper is to present the optimal number of<br/><br>
windows and window lengths using multiple window spectrogram for<br/><br>
estimation of non-stationary processes with shorter or longer<br/><br>
duration. Such processes could start in the EEG as a result of a<br/><br>
stimuli, e.g. steady-state visual evoked potentials (SSVEP). In many<br/><br>
applications the Welch method is used with standard set-ups for<br/><br>
window lengths and number of averaged spectra/spectrograms. This paper optimizes the<br/><br>
window lengths and number of windows of the Welch method and compare<br/><br>
the calculated mean squared error for this method with the optimal parameter choices of other more<br/><br>
recent, socalled, multiple window or multitaper methods. The results<br/><br>
could be useful in the choice of more optimal window functions for<br/><br>
spectrogram estimation in certain applications. Some examples of spectrogram estimation of<br/><br>
SSVEP are shown.}},
author = {{Sandsten, Maria}},
issn = {{1873-4030}},
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.}},
language = {{eng}},
number = {{4}},
pages = {{372--383}},
publisher = {{Elsevier}},
series = {{Medical Engineering & Physics}},
title = {{Evaluation of the optimal lengths and number of multiple windows for spectrogram estimation of SSVEP}},
url = {{http://dx.doi.org/10.1016/j.medengphy.2010.01.009}},
doi = {{10.1016/j.medengphy.2010.01.009}},
volume = {{32}},
year = {{2010}},
}