ARMA – Filtering of Evoked Potentials
- 1 January 1984
- journal article
- research article
- Published by Georg Thieme Verlag KG in Methods of Information in Medicine
- Vol. 23 (01) , 29-36
- https://doi.org/10.1055/s-0038-1635318
Abstract
Summary: A method of evoked potential data processing alternative to the averaging method will be discussed. It is to extract evoked potentials only from two segments. The theoretical basis of this procedure is the so-called ARMA model which gives a high frequency resolution of a periodic signal mixed with noise in a relatively low signal-to-noise ratio. The method is tested by simulation studies. The applicability will be demonstrated by clinical examples.Keywords
This publication has 4 references indexed in Scilit:
- Spectral estimation via the high-order Yule-Walker equationsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- High performance spectral estimation--A new ARMA methodIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- A new ARMA spectral estimatorIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- Signal to noise ratio and response variability measurements in single trial evoked potentialsElectroencephalography and Clinical Neurophysiology, 1978