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A Novel Multitaper Reassignment Method for Estimation of Phase Synchrony

Sandsten, Maria LU ; Anderson, Rachele LU orcid ; Reinhold, Isabella LU ; Bernhardsson, Bo LU orcid ; Bergeling, Carolina LU orcid and Johansson, Mikael LU orcid (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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Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
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}},
}