% Signal Processing
This code can help you to analyse the EEG Inherent Fuzzy Entropy, which also allows to analyse Approximate Entropy, Sample Entropy, and Fuzzy Entropy.
Before runing the main code (an example named 'EEG_entropy_processing') to analyse EEG inherent fuzzy entropy, please remember to
- Add the "HHT_runcode" and "MSE_ALL" files in the run path.
- Change the data locations.
References (please cite them if you use this code for further studies):
- Cao, Z., & Lin, C. T. (2018). Inherent fuzzy entropy for the improvement of EEG complexity evaluation. IEEE Transactions on Fuzzy Systems, 26(2), 1032-1035. https://ieeexplore.ieee.org/abstract/document/7851069/
- Cao, Z., Lai, K. L., Lin, C. T., Chuang, C. H., Chou, C. C., & Wang, S. J. (2018). Exploring resting-state EEG complexity before migraine attacks. Cephalalgia, 38(7), 1296-1306. https://journals.sagepub.com/doi/abs/10.1177/0333102417733953
- Cao, Z., Lin, C. T., Lai, K. L., Ko, L. W., King, J. T., Fuh, J. L., & Wang, S. J. (2019). Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. IEEE Transactions on Fuzzy Systems. https://ieeexplore.ieee.org/document/8668710
- Cao, Z., Ding, W., Wang, Y. K., Hussain, F. K., Al-Jumaily, A., & Lin, C. T. (2019). Effects of Repetitive SSVEPs on EEG Complexity using Multiscale Inherent Fuzzy Entropy. Neurocomputing. https://www.sciencedirect.com/science/article/abs/pii/S0925231219304138