Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery

2013156 citationsJournal Articlebronze Open Access

Authors

Hermano Igo Krebs · University of Glasgow

Michael Krams · Statistical Research (United States)

Dimitris K. Agrafiotis · Janssen (United States)

Allitia DiBernardo · Statistical Research (United States)

Juan C. Chávez · University of Glasgow

Gary S. Littman · Statistical Research (United States)

Eric Yang

Abstract

These results demonstrate that robotic measures of motor performance will more than adequately capture outcome, and the altered effect size will reduce the required sample size. Reducing sample size will likely improve study efficiency.

Topics & Keywords

Stroke Rehabilitation and Recovery Acute Ischemic Stroke Management Botulinum Toxin and Related Neurological Disorders

UN Sustainable Development Goals

Affordable and clean energy

Publication Details

Published in: Stroke

Volume 45, Issue 1, pp. 200-204

DOI: 10.1161/strokeaha.113.002296

Field-Weighted Citation Impact: 12.01