A Novel Multitaper Reassignment Method for Estimation of Phase Synchrony
(2021) 29th European Signal Processing Conference, EUSIPCO 2021 In European Signal Processing Conference 2021-August. p.2164-2168- Abstract
The matched phase reassignment, developed to estimate phase synchrony of transient oscillatory signals, is extended into a multitaper phase reassignment (MTPR) method. The method gives perfect time-frequency localization for two transients with zero phase difference and estimates of time locations and oscillatory frequencies in low signal-to-noise ratios. For different signal-to-noise ratios between channels a suggestion of corrected reassignment vector expressions is given, resulting in minimized variance. The MTPR outperforms the matched phase reassignment as well as state-of-the-art methods, such as Pearson's linear correlation, time-frequency cross-spectrogram phase estimation and the Phase Lag Index method. An example of estimated... (More)
The matched phase reassignment, developed to estimate phase synchrony of transient oscillatory signals, is extended into a multitaper phase reassignment (MTPR) method. The method gives perfect time-frequency localization for two transients with zero phase difference and estimates of time locations and oscillatory frequencies in low signal-to-noise ratios. For different signal-to-noise ratios between channels a suggestion of corrected reassignment vector expressions is given, resulting in minimized variance. The MTPR outperforms the matched phase reassignment as well as state-of-the-art methods, such as Pearson's linear correlation, time-frequency cross-spectrogram phase estimation and the Phase Lag Index method. An example of estimated phase differences, time locations and oscillatory frequencies of electrical signals measured from the brain is also shown.
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- author
- Sandsten, Maria LU ; Anderson, Rachele LU ; Reinhold, Isabella LU ; Bernhardsson, Bo LU ; Bergeling, Carolina LU and Johansson, Mikael LU
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- EEG, Multitapers, Oscillatory transient signals, Phase synchronization, Time-frequency reassignment
- host publication
- 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings
- series title
- European Signal Processing Conference
- volume
- 2021-August
- pages
- 5 pages
- publisher
- European Signal Processing Conference, EUSIPCO
- conference name
- 29th European Signal Processing Conference, EUSIPCO 2021
- conference location
- Dublin, Ireland
- conference dates
- 2021-08-23 - 2021-08-27
- external identifiers
-
- scopus:85123189958
- ISSN
- 2219-5491
- ISBN
- 9789082797060
- DOI
- 10.23919/EUSIPCO54536.2021.9616199
- project
- eSSENCE@LU 8:4 - Diving deeper than ever into dolphin echolocation
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: This work was supported by the Wallenberg Autonomous Systems and Software Program (WASP) funded by Knut and Alice Wallenberg Foundation. Publisher Copyright: © 2021 European Signal Processing Conference. All rights reserved.
- id
- f93d4e08-de1c-4662-9c1d-3402ba7f80ce
- date added to LUP
- 2022-01-28 18:49:13
- date last changed
- 2022-06-29 14:38:22
@inproceedings{f93d4e08-de1c-4662-9c1d-3402ba7f80ce, abstract = {{<p>The matched phase reassignment, developed to estimate phase synchrony of transient oscillatory signals, is extended into a multitaper phase reassignment (MTPR) method. The method gives perfect time-frequency localization for two transients with zero phase difference and estimates of time locations and oscillatory frequencies in low signal-to-noise ratios. For different signal-to-noise ratios between channels a suggestion of corrected reassignment vector expressions is given, resulting in minimized variance. The MTPR outperforms the matched phase reassignment as well as state-of-the-art methods, such as Pearson's linear correlation, time-frequency cross-spectrogram phase estimation and the Phase Lag Index method. An example of estimated phase differences, time locations and oscillatory frequencies of electrical signals measured from the brain is also shown.</p>}}, author = {{Sandsten, Maria and Anderson, Rachele and Reinhold, Isabella and Bernhardsson, Bo and Bergeling, Carolina and Johansson, Mikael}}, booktitle = {{29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings}}, isbn = {{9789082797060}}, issn = {{2219-5491}}, keywords = {{EEG; Multitapers; Oscillatory transient signals; Phase synchronization; Time-frequency reassignment}}, language = {{eng}}, pages = {{2164--2168}}, publisher = {{European Signal Processing Conference, EUSIPCO}}, series = {{European Signal Processing Conference}}, title = {{A Novel Multitaper Reassignment Method for Estimation of Phase Synchrony}}, url = {{http://dx.doi.org/10.23919/EUSIPCO54536.2021.9616199}}, doi = {{10.23919/EUSIPCO54536.2021.9616199}}, volume = {{2021-August}}, year = {{2021}}, }