This package is associated with the functions and analyses of our paper:
Payam Shahsavari Baboukani, Ghasem Azemi, Boualem Boashash, Paul Colditz, Amir Omidvarnia,
A novel multivariate phase synchrony measure: Application to multichannel newborn EEG analysis,
Digital Signal Processing, Volume 84, 2019, Pages 59-68, ISSN 1051-2004
We acknowledge the following references in our implementation:
Circular Statistics Toolbox for Matlab: https://au.mathworks.com/matlabcentral/fileexchange/10676-circular-statistics-toolbox-directional-statistics
Hyper-Torus Synchrony (HTS) measure from M. Al-Khassaweneh, M. Villafañe-Delgado, A. Y. Mutlu and S. Aviyente, "A Measure of Multivariate Phase Synchrony Using Hyperdimensional Geometry," in IEEE Transactions on Signal Processing, vol. 64, no. 11, pp. 2774-2787, June1, 2016.
인용 양식
Baboukani, Payam Shahsavari, et al. “A Novel Multivariate Phase Synchrony Measure: Application to Multichannel Newborn EEG Analysis.” Digital Signal Processing, vol. 84, Elsevier BV, Jan. 2019, pp. 59–68, doi:10.1016/j.dsp.2018.08.019.
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- Sciences > Neuroscience > Human Brain Mapping > EEG/MEG/ECoG >
- Engineering > Biomedical Engineering > Biomedical Signal Processing >
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1.0.0 |