Antonio Mauricio F. L. Miranda de Sá
Evaluating Spectral Relationships between Signals by Removing the Contribution of a Common, Periodic Source A Partial Coherencebased Approach
394 - 397
2007
1
2
International Journal of Biomedical and Biological Engineering
https://publications.waset.org/pdf/11173
https://publications.waset.org/vol/2
World Academy of Science, Engineering and Technology
Partial coherence between two signals removing the contribution of a periodic, deterministic signal is proposed for evaluating the interrelationship in multivariate systems. The estimator expression was derived and shown to be independent of such periodic signal. Simulations were used for obtaining its critical value, which were found to be the same as those for Gaussian signals, as well as for evaluating the technique. An Illustration with eletroencephalografic (EEG) signals during photic stimulation is also provided. The application of the proposed technique in both simulation and real EEG data indicate that it seems to be very specific in removing the contribution of periodic sources. The estimate independence of the periodic signal may widen partial coherence application to signal analysis, since it could be used together with simple coherence to test for contamination in signals by a common, periodic noise source.
Open Science Index 2, 2007