Single-trial evoked potential estimation using wavelets

• Published in: Computers in biology and medicine Vol. 37; no. 4; pp. 463 - 473
• Main Authors: Wang, Zhisong, Maier, Alexander, Leopold, David A, Logothetis, Nikos K, Liang, Hualou
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.04.2007; Elsevier Limited
• Subjects: Algorithms; Animals; Computer Simulation; Electroencephalography; Evoked potential; Evoked Potentials, Visual - physiology; Internal Medicine; LMS; Local field potential (LFP); Macaca mulatta; Male; Mathematical Computing; Motion Perception - physiology; Multiunit activity (MUA); Neurons - physiology; Other; Pattern Recognition, Visual; Reaction Time - physiology; RLS; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Single-trial; Software; Structure-from-motion (SFM); Translation-invariant; Visual Cortex - physiology; Wavelet; Wiener; Wavelet; Single-trial; LMS; Wiener; Evoked potential; Structure-from-motion (SFM); RLS; Translation-invariant; Local field potential (LFP); Multiunit activity (MUA)
• ISSN: 0010-4825; 1879-0534
• DOI: 10.1016/j.compbiomed.2006.08.011

Abstract In this paper we present conventional and translation-invariant (TI) wavelet-based approaches for single-trial evoked potential estimation based on intracortical recordings. We demonstrate that the wavelet-based approaches outperform several existing methods including the Wiener filter, least mean square (LMS), and recursive least squares (RLS), and that the TI wavelet-based estimates have higher SNR and lower RMSE than the conventional wavelet-based estimates. We also show that multichannel averaging significantly improves the evoked potential estimation, especially for the wavelet-based approaches. The excellent performances of the wavelet-based approaches for extracting evoked potentials are demonstrated via examples using simulated and experimental data.