This repository contains the codes to reproduce the result in our paper "A Hybrid Complex-valued Neural Network Framework with Applications to Electroencephalogram (EEG)".
Our python code is refer to this repository "https://github.com/dreamgonfly/cnn-from-scratch".
You also need to download "fuzzyen.m" and 'sampen.m'.
For the "fuzzyen.m", please refer to:
[1] Chen W, Zhuang J, Yu W, Wang Z. "Measuring complexity using FuzzyEn, ApEn, and SampEn", Med Eng Phys 31: 61-68. 2009.
[2] Li P, Liu CY, Li K, Zheng D, Liu C, Hou Y. "Assessing the complexity of short-term heartbeat interval series by distribution entropy", Med Biol Eng Comput 53(1): 77-87. 2015.
[3] Shi B, Zhang Y, Yuan C, Wang S, Li P. "Entropy analysis of short-term heartbeat interval time series during regularwalking", Entropy, 19(10): 568. 2017.
For the "sampen.m", please refer to:
[1] Richman JS, Randall Moorman J. "Physiological time-series analysis using approximate entropy and sample entropy", Am J Physiol Heart Circ Physiol 278: H2039-H2049. 2000.
[2] Li P, Liu CY, Li K, Zheng D, Liu C, Hou Y. "Assessing the complexity of short-term heartbeat interval series by distribution entropy", Med Biol Eng Comput 53(1): 77-87. 2015.
To reproduce the simulated dataset, please download the code from "https://data.mrc.ox.ac.uk/data-set/simulated-eeg-data-generator" and refer to:
[1] Nick Yeung, Rafal Bogacz, Clay B. Holroyd and Jonathan D. Cohen. (2004) Detection of synchronized oscillations in the electroencephalogram: An evaluation of methods.Psychophysiology, 41: 822-832.
[2] Nick Yeung, Rafal Bogacz, Clay B. Holroyd, Sander Nieuwenhuis and Jonathan D. Cohen. (2007) Theta phase-resetting and the error-related negativity, Psychophysiology, 44: 39-49.