Deep learning based markerless motion tracking as a clinical tool for movement disorders: Utility, feasibility and early experience

Deep learning based markerless motion tracking as a clinical tool for movement disorders: Utility, feasibility and early experience

Clinical assessments of movement disorders currently rely on the administration of rating scales, which, while clinimetrically validated and reliable, depend on clinicians’ subjective analyses, resulting in interrater differences. Intraoperative microelectrode recording for deep brain stimulation ta...

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Bibliographic Details
Main Authors: Rex N. Tien, Anand Tekriwal, Dylan J. Calame, Jonathan P. Platt, Sunderland Baker, Lauren C. Seeberger, Drew S. Kern, Abigail L. Person, Steven G. Ojemann, John A. Thompson, Daniel R. Kramer
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Signal Processing
Subjects:
movement disorders
markerless motion tracking
deep learning
deeplabcut
deep brain stimulation
intraoperative electrophysiology
Online Access:https://www.frontiersin.org/articles/10.3389/frsip.2022.884384/full

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https://www.frontiersin.org/articles/10.3389/frsip.2022.884384/full

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