Navigating features: a topologically informed chart of electromyographic features space.

ABSTRACT: The success of biological signal pattern recognition depends crucially on the selection of relevant features. Across signal and imaging modalities, a large number of features have been proposed, leading to feature redundancy and the need for optimal feature set identification. A further complication is that, due to the inherent biological variability, even the same classification problem on different datasets can display variations in the respective optimal sets, casting doubts on the generalizability of relevant features. Here, we approach this problem by leveraging topological tools to create charts of features spaces. These charts highlight feature sub-groups that encode similar information (and their respective similarities) allowing for a principled and interpretable choice of feature

SUBMITTER: Phinyomark A 

PROVIDER: S-EPMC5746577 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature