Geed Lab

Neuroplasticity and Motor Function Recovery after Stroke

Concurrent validity of machine learning-classified functional upper extremity use from accelerometry in chronic stroke


Journal article


Shashwati Geed, Megan L. Grainger, Abigail Mitchell, Cassidy C. Anderson, Henrike L. Schmaulfuss, Seraphina A. Culp, Eilis R. McCormick, Maureen R. McGarry, Mystee N. Delgado, Allysa D. Noccioli, Julia Shelepov, Alexander W. Dromerick, Peter S. Lum
Frontiers in Physiology, vol. 14, 2023

Cite

Cite

APA   Click to copy
Geed, S., Grainger, M. L., Mitchell, A., Anderson, C. C., Schmaulfuss, H. L., Culp, S. A., … Lum, P. S. (2023). Concurrent validity of machine learning-classified functional upper extremity use from accelerometry in chronic stroke. Frontiers in Physiology, 14.


Chicago/Turabian   Click to copy
Geed, Shashwati, Megan L. Grainger, Abigail Mitchell, Cassidy C. Anderson, Henrike L. Schmaulfuss, Seraphina A. Culp, Eilis R. McCormick, et al. “Concurrent Validity of Machine Learning-Classified Functional Upper Extremity Use from Accelerometry in Chronic Stroke.” Frontiers in Physiology 14 (2023).


MLA   Click to copy
Geed, Shashwati, et al. “Concurrent Validity of Machine Learning-Classified Functional Upper Extremity Use from Accelerometry in Chronic Stroke.” Frontiers in Physiology, vol. 14, 2023.


BibTeX   Click to copy

@article{geed2023a,
  title = {Concurrent validity of machine learning-classified functional upper extremity use from accelerometry in chronic stroke},
  year = {2023},
  journal = {Frontiers in Physiology},
  volume = {14},
  author = {Geed, Shashwati and Grainger, Megan L. and Mitchell, Abigail and Anderson, Cassidy C. and Schmaulfuss, Henrike L. and Culp, Seraphina A. and McCormick, Eilis R. and McGarry, Maureen R. and Delgado, Mystee N. and Noccioli, Allysa D. and Shelepov, Julia and Dromerick, Alexander W. and Lum, Peter S.}
}


Share



Follow this website


You need to create an Owlstown account to follow this website.


Sign up

Already an Owlstown member?

Log in