Recurrence quantification analysis detects P300 on single-trial EEG
- Resource Type
- Conference
- Authors
- Pitsik, Elena; Frolov, Nikita
- Source
- 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Complex Networks and their Applications (DCNA), 2021 5th Scientific School Dynamics of. :155-158 Sep, 2021
- Subject
- Robotics and Control Systems
Signal Processing and Analysis
Complex networks
Electroencephalography
Complexity theory
Recurrence quantification analysis
event-related potential
P300
EEG
- Language
In the present paper, Recurrence Quantification Analysis was applied to detect event-related potential P300 on single-trial EEG. We demonstrated that the emergence of P300 is associated with EEG complexity increase. Besides, the RQA measure of complexity based on recurrence times quantification is sensitive enough to detect these changes on single-trial EEG.