Title :
Enhancement of Event Related Potentials by Iterative Restoration Algorithms
Author :
Raez, Carlos A Pomalaza ; McGillem, Clare D.
Author_Institution :
Department of Electrical and Computer Engineering, Clarkson University
Abstract :
An iterative procedure for the restoration of event related potentials (ERP) is proposed and implemented. The method makes use of assumed or measured statistical information about latency variations in the individual ERP components. The signal model used for the restoration algorithm consists of a time-varying linear distortion and a positivity/negativity constraint. Additional preprocessing in the form of low-pass filtering is needed in order to mitigate the effects of additive noise. Numerical results obtained with real data show clearly the presence of enhanced and regenerated components in the restored ERP´s. The procedure is easy to implement which makes it convenient when compared to other proposed techniques for the restoration of ERP signals.
Keywords :
Additive noise; Deconvolution; Delay; Distortion measurement; Enterprise resource planning; Filtering; Iterative algorithms; Low pass filters; Performance evaluation; Signal restoration; Algorithms; Biomedical Engineering; Evoked Potentials, Visual; Humans; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1986.325687