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Table 2 Partial eta-squared values from a repeated-measures general linear model (GLM) for the three methods for ERP analysis.
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Thus, EMD-based denoising is a promising data-driven, nonstationary method for estimating ERPs and should be investigated further.
This supports the idea that we need to move away from group analyses and develop methods for identifying abnormality of ERPs in individual children.
According to Singh and Wesson (2009), inspection methods for assessing the usability of ERP systems require more appropriate criteria to cover its most critical points, such as the usability issues related to navigation and learnability.
Firstly, a series of cluster-based permutation tests (see Methods) was performed during object presentation to test for ERP differences between perceptual and semantic categories.
Current methods for estimating event-related potentials (ERPs) assume stationarity of the signal.
The third SoftCoDeR cycle was applied due to the need for a more appropriate set of usability heuristics for ERP systems, and also an effective usability evaluation method for novice-inspectors.
This is the future for ERP user experience.
As shown in Table 1, a comparison of the number of accesses and the total expenditure for ERP, the proposed in-cloud ERP is exclusively superior to in-house ERP.
When the world was ready for ERP, SAP could solve more problems than any other alternative.
The resulting individual ERPs were transformed to an average reference and low-pass filtered at 30 Hz for ERP analysis and dipole source modeling.
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