Measuring activities of daily living in stroke patients with motion machine learning algorithms: A pilot study

Authors

Pin-Wei Chen, Washington University School of Medicine in St. Louis
Nathan A Baune, Washington University School of Medicine in St. Louis
Igor Zwir, Washington University School of Medicine in St. Louis
Jiayu Wang, Washington University School of Medicine in St. Louis
Victoria Swamidass, PlatformSTL
Alex W K Wong, Washington University School of Medicine in St. Louis

Journal

International Journal of Environmental Research and Public Health

Publication Date

2021

Volume

18

Issue

4

First Page

1634

Document Type

Open Access Publication

DOI

10.3390/ijerph18041634

Rights and Permissions

Chen PW, Baune NA, Zwir I, Wang J, Swamidass V, Wong AWK. Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study. Int J Environ Res Public Health. 2021;18(4):1634. Published 2021 Feb 9. doi:10.3390/ijerph18041634

Recommended Citation

Chen, Pin-Wei; Baune, Nathan A; Zwir, Igor; Wang, Jiayu; Swamidass, Victoria; and Wong, Alex W K, "Measuring activities of daily living in stroke patients with motion machine learning algorithms: A pilot study." International Journal of Environmental Research and Public Health. 18, 4. 1634 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/10175