| Autor: |
Liberati D; CNR, Centro Teoria dei Sistemi, Milano, Italy., Cerutti S, Di Ponzio E, Ventimiglia V, Zaninelli L |
| Jazyk: |
angličtina |
| Zdroj: |
Journal of biomedical engineering [J Biomed Eng] 1989 Jul; Vol. 11 (4), pp. 285-92. |
| DOI: |
10.1016/0141-5425(89)90061-7 |
| Abstrakt: |
Based on a model of signal-noise interaction, we present a method for single-sweep analysis of Visual Evoked Potentials. The EEG is represented as an autoregressive process and the single-sweep VEP as a filtered version of a reference signal taken as the running average of 20 consecutive sweeps. The algorithm for model identification and filtering is an ARX (AutoRegressive with eXogenous input) which provides a fast and efficient solution by means of a least squares approach. The choice of reference signal, as well as the complexity of the model, is also discussed. A further advantage of this approach is parameter reduction: all the single-sweep information is contained in 18 model coefficients and the reference signal. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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