In this research, we propose a new method to model and predict the EEG signal based on the spatio-temporal chaotic dynamics, which is called HMM and normalized ...
Abstract: There exists evidence that EEG signal is typical chaotic signal produced by the chaotic dynamics brain system. In this.
Jul 10, 2011 · A new method to model and predict the EEG signal based on the spatio-temporal chaotic dynamics, called HMM and normalized radial basis ...
Apr 25, 2024 · Bin Dong, Yan-Xun Li: Chaos modeling using HMM-NRBF hybrid model approach and its application in EEG. ICMLC 2011: 1714-1719.
Chaos modeling using HMM-NRBF hybrid model approach and its application in EEG ... There exists evidence that EEG signal is typical chaotic signal produced by the ...
In this research, we propose a new method to model and predict the EEG signal based on the spatio-temporal chaotic dynamics, which is called HMM and normalized ...
The study aimed to develop an accurate and efficient method for sleep stage classification using single-channel EEG signals. The proposed method used a cascaded ...
Better models can be built by using hybrid forms of HMMs, where multilayer perceptrons or clustering methods are used to get the Non-ET data. We can see ...
Missing: Chaos NRBF
We show validity of this pipeline on realistic electrode-level simulated EEG data, by demonstrating its ability to discriminate “trials” from two experimental ...