Poincaré Plot Nonextensive Distribution Entropy: A New Method for Electroencephalography (EEG) Time Series

Poincaré Plot Nonextensive Distribution Entropy: A New Method for Electroencephalography (EEG) Time Series

As a novel form of visual analysis technique, the Poincaré plot has been used to identify correlation patterns in time series that cannot be detected using traditional analysis methods. In this work, based on the nonextensive of EEG, Poincaré plot nonextensive distribution entropy (NDE) is proposed...

Full description

Bibliographic Details
Main Authors: Xiaobi Chen, Guanghua Xu, Chenghang Du, Sicong Zhang, Xun Zhang, Zhicheng Teng
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
nonextensive
distribution entropy
Poincaré plot
sector ring subinterval
Online Access:https://www.mdpi.com/1424-8220/22/16/6283

Internet

https://www.mdpi.com/1424-8220/22/16/6283

Similar Items