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Guo, X.B., Xu, G.H., Li, H., et al. (2023) Steady State Visual Evoked Potential EEG Recognition Using Empirical Mode Decomposition and Chaos Theory. Journal of Xi’an Jiaotong University, 1-9.
http://kns.cnki.net/kcms/detail/61.1069.T.20231221.1733.006.html

has been cited by the following article:

• TITLE: Research on Chaos Theory and Chaos in Medical Practice

  AUTHORS: Tongxing Li, Yuhan Li, Shenglei Dongye

  KEYWORDS: Chaos Theory, Lorentz Model, Matlab, Medical Practice, Interdisciplinary

  JOURNAL NAME: Open Access Library Journal, Vol.11 No.4, April 12, 2024

  ABSTRACT: With the development of science and technology, the application of chaos theory in various fields is increasingly receiving attention. Especially in the medical field, chaos theory provides new theories and methods for disease prediction, diagnosis, treatment, and other aspects. This article first briefly reviews the development of chaos theory, followed by a comparative study of the numerical solutions of the Lorentz model. Finally, the article focuses on the practical application of chaos theory in medical practice, looks forward to the future development trend of chaos theory in the medical field, and emphasizes the enormous potential of chaos theory in personalized medicine, precision treatment, and other fields.