Dynamical Complexity of multichannel data, Multivariate Multiscale Entropy (MMSE), Matlab and data

See below for our recent contributions in this field.

Legend: MATLAB code, PDF files, Supplements and data.

You can also download some EEG Data used in some of the simulations in the work below. The EEG data contain EOG and EMG artifacts coming from eye blinks, eyebrow raising and eye rolling, and are used in our BSE, BSS, and EMD algorithms. The recordings also contain a 50Hz power line noise. Enjoy!

  1. D. Looney, T. Adjei, and D. P. Mandic, "A novel multivariate sample entropy algorithm for modelling time series synchronization," Entropy, vol. 20, no. 82, pp. 1-18, 2018. [pdf] [MATLAB code]
  2. T. Chanwimalueang and D. P. Mandic, "Cosine similarity entropy: Self-correlation-based complexity analysis of dynamical systems," Entropy, vol. 19, pp. 1-23, 2017. [pdf]
  3. T. Chanwimalueang, L. Aufegger, T. Adjei, D. Wasley, C. Cruder, D. P. Mandic, and A. Williamon, "Cardiovascular reactivity to audition stress in musicians," PLOS ONE, vol. 12, no. 4, pp. 1-14, 2017. [pdf]
  4. Y. Tonoyan, T. Chanwimalueang, M. M. van Hulle, and D. P. Mandic, "Discrimination of emotional states from scalp- and intracranial EEG using multiscale Renyi entropy," PLOS ONE, vol. 12, no. 11, pp. 1-22, 2017. [pdf]
  5. M. U. Ahmed, T. Chanwimalueang, S. Thayyil, and D. P. Mandic, "A multivariate multiscale fuzzy entropy algorithm with application to uterine EMG complexity analysis," Entropy, vol. 19, no. 2, pp. 1-18, 2017. [pdf]
  6. A. Hemakom, T. Chanwimalueang, A. Carrion-Garcia, L. Aufegger, A. G. Constantinides, and D. P. Mandic, "Financial stress through complexity science," IEEE Journal on Selected Topics in Signal Processing, vol. 10, no. 6, pp. 1112-1126, 2016. [pdf]
  7. A. Hemakom, V. Goverdovsky, L. Aufegger, and D. P. Mandic, "Quantifying cooperation in choir singing: Respiratory and cardiac synchronisation," Proceedings of ICASSP'16, pp. 719-723, 2016. [pdf]
  8. T. Chanwimalueang, L. Aufegger, W. von Rosenberg, and D. P. Mandic, "Modelling stress in public speaking: Evolution of stress levels during conference presentations," Proceedings of ICASSP'16, pp. 814-818, 2016. [pdf]
  9. Y. Tonoyan, D. Looney, D. P. Mandic, and M. M. van Hulle, "Discriminating multiple emotional states from EEG using a data-adaptive, multiscale information-theoretic approach," International Journal of Neural Systems, vol. 26, no. 2, pp. 1-16, 2016. [pdf]
  10. A. Williamon, L. Aufegger, D. Wasley, D. Looney, and D. P. Mandic, "Complexity of physiological responses decreases in high stress musical performance," Royal Society Interface, vol. 10, no. 89, pp. 1-6, 2013. [pdf]
  11. D. Looney, M. U. Ahmed and D. P. Mandic, "Human Centred Multivariate Complexity Analysis," Natural Intelligence Magazine, vol 1, no. 3, pp. 40-42, 2012. [pdf]
  12. M. U. Ahmed, N. Rehman, D. Looney, T. Rutkowski, and D. P. Mandic, "Dynamical Complexity of Human Responses: A Multivariate Data-Adaptive Framework," Bulletin of the Polish Academy of Sciences, vol. 50, no. 3, pp. 433-466, 2012. [pdf]
  13. M. U. Ahmed and D. P. Mandic, "Multivariate multiscale entropy: A tool for complexity analysis of multichannel data," Physical Review E, vol. 84, no. 6, pp. 061918-1 – 061918-10, 2011. [pdf] [MATLAB code] [Zipped content]
  14. M. U. Ahmed and D. P. Mandic, "Multivariate Multiscale Entropy," IEEE Signal Processing Letters, vol. 19, no. 2, pp. 91-95, 2012. [pdf]
  15. M. U. Ahmed, L. Li, J. Cao, and D. P. Mandic, "Multivariate Multiscale Entropy for Brain Consciousness Analysis," in Proceedings of IEEE EMBC Conference, pp. 810-183, 2011. [pdf]