A wavelet based algorithm for the identification of oscillatory event-related potential components

作者：Aniyan Arun Kumar^*; Philip Ninan Sajeeth; Samar Vincent J; Desjardins James A; Segalowitz Sidney J

来源：Journal of Neuroscience Methods, 2014, 233: 63-72.

DOI：10.1016/j.jneumeth.2014.06.004

• Single-trial EEG
• Wavelet asymmetry
• N170 ERP detection

Event related potentials (ERPs) are very feeble alterations in the ongoing electroencephalogram (EEG) and their detection is a challenging problem. Based on the unique time-based parameters derived from wavelet coefficients and the asymmetry property of wavelets a novel algorithm to separate ERP components in single-trial EEG data is described. Though illustrated as a specific application to N170 ERP detection, the algorithm is a generalized approach that can be easily adapted to isolate different kinds of ERP components. The algorithm detected the N170 ERP component with a high level of accuracy. We demonstrate that the asymmetry method is more accurate than the matching wavelet algorithm and t-CWT method by 48.67 and 8.03 percent, respectively. This paper provides an off-line demonstration of the algorithm and considers issues related to the extension of the algorithm to real-time applications.

• 出版日期2014-8-15