Navigating features: a topologically informed chart of electromyographic features space

Author:

Phinyomark Angkoon12ORCID,Khushaba Rami N.3,Ibáñez-Marcelo Esther1,Patania Alice4,Scheme Erik2,Petri Giovanni1ORCID

Affiliation:

1. ISI Foundation, Turin 10126 Italy

2. Institute of Biomedical Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada E3B 5A3

3. Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales 2007, Australia

4. Indiana University Network Institute, Indiana University, Bloomington, IN, USA

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 features for classification and analysis. Using multiple electromyographic (EMG) datasets as a case study, we use this feature chart to identify functional groups among 58 state-of-the-art EMG features, and to show that they generalize across three different forearm EMG datasets obtained from able-bodied subjects during hand and finger contractions. We find that these groups describe meaningful non-redundant information, succinctly recapitulating information about different regions of feature space. We then recommend representative features from each group based on maximum class separability, robustness and minimum complexity.

Funder

New Brunswick Health Research Foundation

Compagnia San Paolo

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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