TY  - JOUR
A1  - Ngamga, Eulalie Joelle
A1  - Bialonski, Stephan
A1  - Marwan, Norbert
A1  - Kurths, Jürgen
A1  - Geier, Christian
A1  - Lehnertz, Klaus
T1  - Evaluation of selected recurrence measures in discriminating pre-ictal and inter-ictal periods from epileptic EEG data
T2  - Physics Letters A
N2  - We investigate the suitability of selected measures of complexity based on recurrence quantification analysis and recurrence networks for an identification of pre-seizure states in multi-day, multi-channel, invasive electroencephalographic recordings from five epilepsy patients. We employ several statistical techniques to avoid spurious findings due to various influencing factors and due to multiple comparisons and observe precursory structures in three patients. Our findings indicate a high congruence among measures in identifying seizure precursors and emphasize the current notion of seizure generation in large-scale epileptic networks. A final judgment of the suitability for field studies, however, requires evaluation on a larger database.
Y1  - 2016
UR  - https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/8467
SN  - 0375-9601
VL  - 380
IS  - 16
SP  - 1419
EP  - 1425
PB  - Elsevier
CY  - Amsterdam
ER  -