Detection of transient generalized and mutual phase synchronization by clustering and application to single brain signals
Please always quote using this URN:urn:nbn:de:0296-matheon-1291
- The present work introduces an analysis framework for the de- tection of metastable signal segments in multivariate time series. It is shown that in case of linear data these segments represent tran- sient generalized synchronization, while metastable segments in circu- lar data reflect transient mutual phase synchronization. We propose a single segmentation approach for both types of data considering the space-time structure of the data. Applications to both event-related potentials and single evoked potentials obtained from an auditory odd- ball experiment reveal the lack of the component P300 in an experi- mental condition, indicates attention effects in component N100 and shows dramatic latency jitters in single trials. A comparison of the proposed method to a conventional index of mutual phase synchro- nization demonstrates the superiority of considering space-time data structures.
Author: | Axel Hutt, Michael Schrauf |
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URN: | urn:nbn:de:0296-matheon-1291 |
Referee: | Anton Bovier |
Document Type: | Preprint, Research Center Matheon |
Language: | English |
Date of first Publication: | 2004/04/26 |
Release Date: | 2004/04/26 |
Institute: | Weierstraß-Institut für Angewandte Analysis und Stochastik (WIAS) |
Preprint Number: | 121 |