- Read more about Poster for "Graph-based permutation patterns for the analysis of task-related fMRI signals on DTI networks in mild cognitive impairment"
- Log in to post comments
Permutation Entropy (PE) is a powerful nonlinear analysis technique for univariate time series. Recently, Permutation Entropy for Graph signals (PE_G) has been proposed to extend PE to data residing on irregular domains. However, PE_G is limited as it provides a single value to characterise a whole graph signal. Here, we introduce a novel approach to evaluate graph signals at the vertex level: graph-based permutation patterns. Synthetic datasets show the efficacy of our method.
- Categories:
44 Views