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Rehabilitation Dataset Directory: Dataset Profile

Dataset: Medical University of South Carolina Stroke Data (ARRA)

Basic Information
Dataset Full Name	Medical University of South Carolina Stroke Data
Dataset Acronym	ARRA
Summary	The Medical University of South Carolina Stroke Data (ARRA) was a NIH funded study conducted in 2011-12. It was designed to delineate the cause/effect relationship between neural output and the biomechanical functions executed in walking. Subjects included 27 post-stroke patients (at least 6 months post-stroke) and 17 healthy controls. Each subject walked on a treadmill at their self-selected walking speed as well as completing a randomized set of four steady-state mobility capability tasks: walking at maximum speed, and walking at self-selected speed with maximum cadence, maximum step length, and maximum step height. Kinematic, kinetic, and electromyography (EMG) data were collected. The data collected allow scientists interested in EMG analyses of hemiparetic walking to have a test set for their analyses. The data collected includes demographics, clinical assessments, kinetic (from treadmill force plates), kinematic (from active markers), EMG and Over-ground spatial temporal measures (GaitRite Platinum Walkway). Documentation refers to the study as ARRA: American Recovery and Reinvestment Act
Key Terms	Stroke, Post-stroke, Mobility, Gait, Walking, Kinematic, Kinetic, Electromyography (EMG), Treadmill, Motion capture system
Study Design	Cross-Sectional
Data Type(s)	Administrative Clinical
Sponsoring Agency/Entity	Department of Health and Human Services (HHS), National Institutes of Health (NIH), the Department of Veterans Affairs, and the National Science Foundation
Health Conditions/Disability Measures
Health Condition(s)	Stroke
Disability Measures	Ambulatory disability
Measures/Outcomes of Interest
Topics	Stroke, Post-stroke mobility, Walking, Walking speed, Electromyography (EMG), Video motion capture
Sample
Sample Population	Males and Females, healthy and 6+ months post stroke, ages 40-80, living in the Southeastern United States. Post-stroke patients Healthy control subjects
Sample Size/Notes	44 subjects total: 27 post-stroke subjects (6+ months post-stroke) 17 healthy control subjects
Unit of Observation	Individual/Patient
Continent(s)	North America
Countries	United States
Geographic Coverage	Southeastern United States (South Carolina)
Geographic Specificity	NA
Special Population(s)	Aging/Older people (ages 40-80)
Data Collection
Data Collection Mode	Multiple modes of data collection: 12 camera (3D) motion capture system Fully instrumented split belt treadmill measuring 3D ground reaction forces and moments. Electromyography
Years Collected	2011-12
Data Collection Frequency	Single time period data collection
Strengths and Limitations
Strengths	Well documented and extensive data collection. Data includes both post stroke patients and control individuals allowing for comparisons. The number of subjects and data collected provides researchers interested in EMG analyses of hemiparetic walking with a test set for analyses.
Limitations	From related paper (Routson et.al 2014) https://doi.org/10.14814/phy2.12055 : "Due to our limited recording of EMG from eight muscles, we were only able to identify four modules during healthy control walking... our methods did not include an analysis to determine whether a particular subject's muscle strength was sufficient to perform the mobility capability tasks."
Data Details
Primary Website	https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/37122
Data Access	Download Restricted Data Use Agreement here: https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/37122/datadocumentation
Data Access Requirements	Data Use agreement, No cost (Restricted Data Use Agreement)
Summary Tables/Reports	See the following publication: Routson, Rebecca L., Kautz, Steven A., Neptune, Richard R. (2014) Modular organization across changing task demands in healthy and poststroke gait. Physiological Reports. 2, (6), e12055. https://doi.org/10.14814/phy2.12055
Data Components	NA
Similar/Related Dataset(s)	Stroke focused studies: Stroke Recovery in Underserved Populations 2005-2006 (SRUP) Anatomical Tracings of Lesions after Stroke (ATLAS) Stroke Initiative for Gait Data Evaluation (STRIDE) Investigating the Neurobiologic Basis for Loss of Cortical Laterality in Chronic Stroke Patients, Charleston, South Carolina, 2014-2016
Selected Papers
Other Papers	Routson, Rebecca L., Kautz, Steven A., Neptune, Richard R. (2014) Modular organization across changing task demands in healthy and poststroke gait. Physiological Reports. 2, (6), e12055. https://doi.org/10.14814/phy2.12055
Technical	Main documentation page: https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/37122/datadocumentation Includes the following: Codebook User Guide Questionnaire (including data collection forms) Restricted Data Use Agreement
Related Repositories
Repositories	AphasiaBank

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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).

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