title: Enhancing Temporal Classification of AAR Parameters in EEG single-trial analysis for Brain-Computer Interfacing.
abstract: Adaptive autoregressive (AAR) coefficients provide dynamic spectral information in EEG single-trial analysis. In this paper we propose a temporal evidence accumulation framework to enhance classification of AAR features. The results for a single subject, using 280 trials, indicate distinct improvements over a conventional method of temporal classification. We illustrate how the framework is applicable to AAR features, as well as to wavelet features as reported in [13]. These findings put the two time-frequency features on equal footing for comparison in this context.
authors.affiliation: Pattern Analysis and Machine Intelligence (PAMI) Lab Electrical and Computer Engineering, University of Waterloo.
authors.forename: G
authors.initials: G
authors.lastname: Dharwarkar
authors.forename: O
authors.initials: O
authors.lastname: Basir