@inproceedings{65f69d4daf804573a14bbfd2136707ee,
title = "Analysis of wake/sleep EEG with competing experts",
abstract = "An analysis of physiological wake/sleep data is presented. We apply a recent method for the analysis of nonstationary time series with multiple operating modes. In particular, it is possible to detect and to model a switching of the dynamics and also a less abrupt, time consuming drift from one mode to another. This is achieved by an unsupervised algorithm that segments the data according to inherent modes, and a subsequent search through the space of possible drifts. The application to wake/sleep data demonstrates that analysis and modeling of real-world time series can be improved when the drift paradigm is taken into account. In the case of wake/sleep data, we hope to gain more insight into the physiological processes that are involved in the transition from wake to sleep.",
author = "J. Kohlmorgen and M{\"u}ller, {K. R.} and J. Rittweger and K. Pawelzik",
year = "1997",
doi = "10.1007/bfb0020296",
language = "English",
isbn = "3540636315",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1077--1082",
editor = "Wulfram Gerstner and Alain Germond and Martin Hasler and Jean-Daniel Nicoud",
booktitle = "Artificial Neural Networks - ICANN 1997 - 7th International Conference, Proceeedings",
note = "7th International Conference on Artificial Neural Networks, ICANN 1997 ; Conference date: 08-10-1997 Through 10-10-1997",
}