Quantitying Nonlinear Dynamic Complexity of Epileptic EEG by Conditional Entropy Based on Different Entropy Measures

Bingxin Zhu, Jiafei Dai, Jin Li, Jun Wang 0031, Fengzhen Hou. Quantitying Nonlinear Dynamic Complexity of Epileptic EEG by Conditional Entropy Based on Different Entropy Measures. In Wei Li, Qingli Li, Lipo Wang, editors, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, Beijing, China, October 13-15, 2018. pages 1-5, IEEE, 2018. [doi]

@inproceedings{ZhuDLWH18,
  title = {Quantitying Nonlinear Dynamic Complexity of Epileptic EEG by Conditional Entropy Based on Different Entropy Measures},
  author = {Bingxin Zhu and Jiafei Dai and Jin Li and Jun Wang 0031 and Fengzhen Hou},
  year = {2018},
  doi = {10.1109/CISP-BMEI.2018.8633053},
  url = {https://doi.org/10.1109/CISP-BMEI.2018.8633053},
  researchr = {https://researchr.org/publication/ZhuDLWH18},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, Beijing, China, October 13-15, 2018},
  editor = {Wei Li and Qingli Li and Lipo Wang},
  publisher = {IEEE},
  isbn = {978-1-5386-7604-2},
}