A defining feature of many physiological systems is their synchrony and reciprocal influence. An important challenge, however, is how to measure such features. This paper presents two new approaches for identifying synchrony between the physiological signals of individu... View more
recovery. Personality and Social Psychology Bulletin, 12, 141-167.
Song, H., & Ferrer, E. (2009). State-space modeling of dynamic psychological processes via the Kalman smoother algorithm: Rationale, finite sample properties, and applications. Structural Equation Modeling, 16, 338-363.
Thomson, A., & Bolger, N. (1999). Emotional transmission in couples under stress. Journal of Marriage & the Family, 61, 38-48.
(1992). Observation of the coupled exciton-photon mode splitting in a semiconductor quantum microactivity. Physical review letters, 69, 3314.
Wu, Z., & Huang, N. E. (2004). A study of the characteristics of white noise using the empirical mode decomposition method.
Proceedings of the Royal Society A, 460, 1597-1611.
Hsieh, F., Ferrer, E., Chen, S., Mauss, I. B., Oliver, J., & Gross, J. L. (2011). A network approach for evaluating coherence in multivariate systems: An application to psychophysiological emotion data. Psychometrika, 76, 124-152.
Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., . . ., Liu, H. H. (1998). The Empirical Mode Decomposition and Hilbert Spectrum for nonlinear and nonstationary time series analysis. Proceedings of the Royal Society London A, 454, 903-995.
Q2 Huang, N. E. (2005). Introduction to the Hilbert-Huang Transform and its related mathematical problems. In N. E. Huang & S. S. P. Shen (Eds.), Hilbert-Huang Transform and its applications (pp. 1-25).
Kim, D., & Oh, H.-S. (2009). EMD: A package for Empirical Mode Decomposition and Hilbert Spectrum. The R Journal, 1, 40-46.