Poincaré plot nonextensive distribution entropy: a new method for electroencephalography (eeg) time series

HIGHLIGHTS

  • who: Xiaobi Chen and colleagues from the School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China have published the paper: Poincaré Plot Nonextensive Distribution Entropy: A New Method for Electroencephalography (EEG) Time Series, in the Journal: Sensors 2022, 6283 of 30/07/2020
  • what: In this work based on the of EEG (NDE) is proposed to solve the problem of insufficient discrimination ability of_(DE) in analyzing fractional Brownian motion series with different Hurst indices. Originally, the Poincaré plot was widely used for the analysis of heart rate variability (HRV), focusing on the . . .

     

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