Acoustical Emission Analysis by Unsupervised Graph Mining: A Novel Biomarker of Knee Health Status

Abstract

Unsupervised graph mining to extract GCF from knee acoustical emissions provides a novel, objective, and quantitative biomarker of knee injury and recovery that can be incorporated with a wearable joint health system for use outside of clinical settings, and austere/under resourced conditions, to aid treatment/therapy.