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A study on the best order for autoregressive EEG modelling

✍ Scribed by Francisco Vaz; Pedro Guedes de Oliveira; JoséC. Principe

Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
557 KB
Volume
20
Category
Article
ISSN
0020-7101

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A study on the best order for autoregres
A study on the best order for autoregressive EEG modelling
✍ Francisco Vaz; Pedro Guedes de Oliveira; JoséC. Principe 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 557 KB

The autoregressive (AR) model is a widely used tool in electroencephalogram (EEG) analysis. The dependence of the AR model on both the segment length and several characteristic EEG patterns is addressed. The best AR model order is computed with three different criteria. The results show that the Ris