Enhanced Template Matching Using Dynamic Positional Warping for Identification of Specific Patterns in Electroencephalogram
Figure 1
Schematic diagram of our study protocol for templates. After selecting templates from the ground-truth dataset, the average distance among the templates is calculated for normalization (during the “Training” phase). During the “Testing” phase, distances between templates and test patterns within test-signal sliding windows are calculated.
