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Instantaneous phase tracking of oscillatory signals using EMD and Rao-Blackwellised particle filtering

Jarchi, D, Makkiabadi, B and Sanei, S (2011) Instantaneous phase tracking of oscillatory signals using EMD and Rao-Blackwellised particle filtering In: ICASSP 2011, 2011-05-22 - 2011-05-27.

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A new method for instantaneous phase tracking of oscillatory signals in a narrow band frequency range is proposed. Empirical mode decomposition (EMD), as an adaptive and data-driven method for analyzing non-linear and non-stationary time series, is applied to a mixture of signals. Then, one of the resulted intrinsic mode functions (IMFs) is used for estimating the instantaneous phase of the signal in a certain frequency band. Since by applying EMD to the noisy signal the noise is distributed over the IMFs, the Rao-Blackwellised particle filtering (RBPF) is used to track the actual instantaneous phase from the noisy IMF. The formulated RBPF operates based on smoothing the instantaneous frequency traces in Hilbert domain and denoising the signal in time domain. Finally, the method is able to track the instantaneous phases across consecutive time points. The method is applied to both simulated and real data. As an application, it can be used for mental fatigue analysis based on the changes in phase synchronization of different brain rhythms in different brain regions before and during the fatigue state.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Jarchi, D
Makkiabadi, B
Sanei, S
Date : 2011
DOI : 10.1109/ICASSP.2011.5946473
Contributors :
Additional Information : © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including eprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 14 Jan 2013 10:45
Last Modified : 31 Oct 2017 14:55

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