Enhancement of event related potentials by iterative restoration algorithms
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.
- Publication:
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IEEE Transactions on Biomedical Engineering
- Pub Date:
- December 1986
- Bibcode:
- 1986ITBE...33.1107P
- Keywords:
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- Algorithms;
- Electroencephalography;
- Evoked Response (Psychophysiology);
- Iterative Solution;
- Signal Analysis;
- Visual Stimuli;
- Bioelectric Potential;
- Events;
- Low Pass Filters;
- Restoration;
- Signal To Noise Ratios;
- Communications and Radar