Investigation of short-term changes in visual evoked potentials with windowed adaptive chirplet transform |
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Authors: | Cui Jie Wong Willy |
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Affiliation: | Institute of Biomaterials, University of Toronto, Toronto, ON, M5S 3G9, Canada. jie.cui@uth.tmc.edu |
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Abstract: | We propose a new application of the adaptive chirplet transform that involves partitioning signals into non-overlapping sequential segments. From these segments, the local time-frequency structures of the signal are estimated by using a four-parameter chirplet decomposition. Entitled the windowed adaptive chirplet transform (windowed ACT), this approach is applied to the analysis of visual evoked potentials (VEPs). It can provide a unified and compact representation of VEPs from the transient buildup to the steady-state portion with less computational cost than its non-windowed counterpart. This paper also details a method to select the optimal window length for signal segmentation. This approach will be useful for long-term signal monitoring as well as for signal feature extraction and data compression. |
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