Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Published Date: Dec 1, 2017

Abstract

BACKGROUND AND PURPOSE: Trials of restorative therapies after stroke and clinical rehabilitation require relevant and objective efficacy end points; real-world upper extremity (UE) functional use is an attractive candidate. We present a novel, inexpensive, and feasible method for separating UE functional use from nonfunctional movement after stroke using a single wrist-worn accelerometer.

Authors

  • Elaine M Bochniewicz
    MITRE Corporation, McLean, VA; Department of Biomedical Engineering, Catholic University of America, Washington, DC.
  • Geoff Emmer
    MITRE Corporation, McLean, VA.
  • Adam McLeod
    MITRE Corporation, McLean, VA.
  • 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.
  • Peter Lum
    Department of Biomedical Engineering, Catholic University of America, Washington, District of Columbia; Medstar National Rehabilitation Network, Washington, District of Columbia; Washington DC Veterans Affairs Medical Center, Washington, District of Columbia; Center for Brain Plasticity and Recovery, Georgetown University, Washington, District of Columbia.

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