Multiple Windows for Estimation of Locally Stationary Transients in the Electroencephalogram
(2005) 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. 7 VOLS. p.7293-7296- Abstract
- In this paper, multiple windows, optimal for locally stationary processes (MW-LSP) are used to estimate the spectrogram of the electroencephalogram (EEG) where we focus on the ability to estimate transient frequency changes. A peak of known frequency was evoked in the EEG spectrum in a predetermined time interval, by using a 9 Hz flickering light. We investigate the multiple windows corresponding to the mean squared error optimal time-frequency kernel for estimation of the Wigner-Ville spectrum. The kernel is optimal for a certain locally stationary process where the covariance function is determined by two one-dimensional Gaussian functions
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/627390
- author
- Sandsten, Maria LU and Sandberg, Johan LU
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Multiple windows, Covariance function, Locally stationary processes (MW-LSP), Mean squared error optimal time-frequency kernel
- host publication
- 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005
- volume
- 7 VOLS
- pages
- 7293 - 7296
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005.
- conference location
- Shanghai, China
- conference dates
- 2005-09-01 - 2005-09-04
- external identifiers
-
- wos:000238998406160
- scopus:33846911322
- pmid:17281964
- ISSN
- 0589-1019
- ISBN
- 0-7803-8741-4
- DOI
- 10.1109/IEMBS.2005.1616195
- language
- English
- LU publication?
- yes
- id
- 0585a16f-c154-49c8-a601-76759b45eb0f (old id 627390)
- date added to LUP
- 2016-04-01 17:16:09
- date last changed
- 2022-01-29 01:33:21
@inproceedings{0585a16f-c154-49c8-a601-76759b45eb0f, abstract = {{In this paper, multiple windows, optimal for locally stationary processes (MW-LSP) are used to estimate the spectrogram of the electroencephalogram (EEG) where we focus on the ability to estimate transient frequency changes. A peak of known frequency was evoked in the EEG spectrum in a predetermined time interval, by using a 9 Hz flickering light. We investigate the multiple windows corresponding to the mean squared error optimal time-frequency kernel for estimation of the Wigner-Ville spectrum. The kernel is optimal for a certain locally stationary process where the covariance function is determined by two one-dimensional Gaussian functions}}, author = {{Sandsten, Maria and Sandberg, Johan}}, booktitle = {{27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005}}, isbn = {{0-7803-8741-4}}, issn = {{0589-1019}}, keywords = {{Multiple windows; Covariance function; Locally stationary processes (MW-LSP); Mean squared error optimal time-frequency kernel}}, language = {{eng}}, pages = {{7293--7296}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Multiple Windows for Estimation of Locally Stationary Transients in the Electroencephalogram}}, url = {{http://dx.doi.org/10.1109/IEMBS.2005.1616195}}, doi = {{10.1109/IEMBS.2005.1616195}}, volume = {{7 VOLS}}, year = {{2005}}, }