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

Overview of attention for article published in Frontiers in Signal Processing, September 2022
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Title
Deep learning based markerless motion tracking as a clinical tool for movement disorders: Utility, feasibility and early experience
Published in
Frontiers in Signal Processing, September 2022
DOI 10.3389/frsip.2022.884384
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

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Researcher 1 8%
Unknown 9 75%
Readers by discipline Count As %
Neuroscience 2 17%
Nursing and Health Professions 1 8%
Unknown 9 75%