Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1899728 | Physica D: Nonlinear Phenomena | 2010 | 9 Pages |
Abstract
We discuss a quantitative approach to detect phase synchronization in noisy experimental multivariate data. To this end, we derive a test statistic based on the Kuramoto order parameter. We derive criteria for rejecting the null hypothesis of zero phase synchronization at given significance levels. We apply the test statistic to a recently conducted study on group behavior that used a rocking chair paradigm. In this context, we quantify the emergence of phase synchronization within small groups of participants.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
T.D. Frank, M.J. Richardson,