Automated quantification of stereotypical motor movements in autism using persistent homology

Abstract excerpt

Stereotypical motor movements (SMM) are a core diagnostic feature of autism that remain difficult to quantify efficiently and validly across individuals and developmental stages. The current paper presents a novel pipeline that leverages Topological Data Analysis to quantify and characterize recurrent movement patterns. Specifically, we use persistent homology to construct low-dimensional, interpretable feature...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Advanced Neuroimaging Techniques and Applications
• Share to Cell Image Analysis Techniques