Journal article
Frontiers in Physiology, vol. 14, 2023
APA
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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
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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
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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.}
}