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A review of parametric modelling techniques for EEG analysis.

Abstract:

This review provides an introduction to the use of parametric modelling techniques for time series analysis, and in particular the application of autoregressive modelling to the analysis of physiological signals such as the human electroencephalogram. The concept of signal stationarity is considered and, in the light of this, both adaptive models, and non-adaptive models employing fixed or adaptive segmentation, are discussed. For non-adaptive autoregressive models, the Yule-Walker equations ...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
Journal:
Medical engineering and physics More from this journal
Volume:
18
Issue:
1
Pages:
2-11
Publication date:
1996-01-01
DOI:
EISSN:
1873-4030
ISSN:
1350-4533
Language:
English
Keywords:
Pubs id:
pubs:61549
UUID:
uuid:8f427ee3-da55-4e27-abdb-8833216f4a4e
Local pid:
pubs:61549
Source identifiers:
61549
Deposit date:
2012-12-19

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