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 high...

Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a signal. The WT relies on prototype signal that called mother wavelet. However, there no single universal wavelet fits all signals. Thus, selection function might be challenging represent achieve optimum performance. There are some studies determine optimal for other biomedical signals; however, exists evalu...

We present a method for visualizing single-trial evoked potentials and show applications of the consequent single-trial analysis. The method is based on the wavelet transform, which has an excellent resolution both in the time and frequency domains. Its use provides new information that is not accessible from the conventional analysis of peak amplitudes and latencies of average evoked potential...