Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method.

Journal: Neurorehabilitation and neural repair
Published Date: Nov 5, 2020

Abstract

BACKGROUND: Wrist-worn accelerometry provides objective monitoring of upper-extremity functional use, such as reaching tasks, but also detects nonfunctional movements, leading to ambiguity in monitoring results.

Authors

  • Peter S Lum
  • Liqi Shu
    Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI, United States.
  • Elaine M Bochniewicz
    MITRE Corporation, McLean, VA; Department of Biomedical Engineering, Catholic University of America, Washington, DC.
  • Tan Tran
    The Catholic University of America, Washington, DC, USA.
  • Lin-Ching Chang
  • Jessica Barth
    Medstar National Rehabilitation Network, Washington, District of Columbia.
  • Alexander W Dromerick
    MedStar National Rehabilitation Network, Washington, DC; Washington DC Veterans Affairs Medical Center, Washington, DC; Center for Brain Plasticity and Recovery, Georgetown University, Washington, DC; Department of Rehabilitation Medicine, Georgetown University, Washington, DC; Department of Neurology, Georgetown University, Washington, DC. Electronic address: Alexander.w.dromerick@medstar.net.

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