Physics-Informed Machine Learning Improves Detection of Head Impacts

Tue, 01 Nov 2022 00:00:00 +0000

Abstract

Concussions Physics-Informed Machine Learning Improves Detection of Head Impacts SAMUEL J. R AYMOND ,1 NICHOLAS J. C ECCHI,1 HOSSEIN VAHID ALIZADEH,1 ASHLYN A. C ALLAN,1 ELI RICE,2 YUZHE LIU,1 ZHOU ZHOU,1 MICHAEL ZEINEH,3 and D AVID B. C AMARILLO1,4,5 1Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; 2Stanford Center for Clinical Research, Stanford University, Stanford, CA 94305, USA; 3Department of Radiology, Stanford University, Stanford, CA 94305, USA; 4Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA; and 5Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA (Received 31 August 2021; accepted 1 January 2022) Associate Editor Stefan M. Duma oversaw the review of this article. Abstract-In this work we present a new physics-informed machine learning model that can be used to analyze kinematic data from an instrumented mouthguard and detect impacts to the head. Monitoring player impacts is vitally importan

Head Impact Detection | Yuzhe Lab

Physics-Informed Machine Learning Improves Detection of Head Impacts

Abstract