Automated detection of dynamical change in EEG signals based on a new rhythm measure

作者：

Highlights：

• An effective and accurate EEG rhythm indicator extracted through graph-based modeling method.

• A new method for monitoring changes in EEG signals which combines extracted EEG rhythm indicators and null hypothesis testing.

• Promising results conducted on both simulated signals and real signals.

摘要

•An effective and accurate EEG rhythm indicator extracted through graph-based modeling method.•A new method for monitoring changes in EEG signals which combines extracted EEG rhythm indicators and null hypothesis testing.•Promising results conducted on both simulated signals and real signals.

论文关键词：Change detection,EEG rhythm,Graph modeling,Time-frequency analysis

论文评审过程：Received 17 December 2019, Revised 25 May 2020, Accepted 29 June 2020, Available online 8 July 2020, Version of Record 16 July 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101920