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Medical University of South Carolina Stroke Data (ARRA)

Version
v1
Resource Type
Dataset : clinical data, experimental data, medical records
Creator
  • Kautz, Steven A.
  • Neptune, Richard R.
Other Title
  • ARRA (Alternative Title)
  • Version 1 (Subtitle)
Publication Date
2018-08-16
Publication Place
Ann Arbor, Michigan
Publisher
  • Inter-University Consortium for Political and Social Research
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health
Language
English
Free Keywords
Schema: ICPSR
biomechanics; electromyography; EMG; kinematic; kinetic; stroke; stroke rehabilitation; walking
Description
  • Abstract

    To access this data collection, please click on the Restricted Data button above. You will need to download and complete the data use agreement and then email it to icpsr-addep@umich.edu. The instructions are in the form. This study was conducted at the Medical University of South Carolina over the span of one year to delineate the cause/effect relationship between neural output and the biomechanical functions being executed in walking in post-stroke patients. Kinematic, kinetic, and electromyography (EMG) data were collected from 27 post-stroke subjects and from 17 healthy control subjects. Each subject walked on a treadmill at their self-selected walking speed in addition to a randomized block design 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.
  • Abstract

    Prior to the Medical University of South Carolina Stroke Data (ARRA) study, there has been limited availability of data to understand the electromyography (EMG) modules used by hemiparetic subjects when they walk. Since these modules are thought to represent biomechanical functions performed in a coordinated manner, having data that shows how module use changes as walking task demands change can lead to new understanding of the building blocks of walking behavior.
  • Methods

    Data were collected from 27 post-stroke subjects and from 17 healthy control subjects for five conditions that were conducted on a treadmill walking over 30 second intervals. These conditions included: Self-Selected (SS) walking speed which was chosen by the participant as their normal walking speed, Fastest Comfortable (FC) where subjects were instructed to find their fastest safe walking speed, High Step (HS) where subjects were instructed to walk with as high of a step as possible while at their SS Speed, Quick Step (QS) where subjects were instructed to walk with as quick of a step as possible at their SS speed, and Long Step (LS) where subjects were instructed to walk with as long as a step as possible at their SS speed. Under each condition kinematics, kinetics (from split belt treadmill force plates) and electromyography (EMG) data were collected. Each subject walked on a treadmill at their Self-Selected walking speed in addition to a randomized block design of four other conditions. The following equipment were used to collect the data. Motion Capture System: 12-camera motion capture system (PhaseSpace, Inc., San Leandro, CA) with two linear detectors in each camera, was utilized to measure subject kinematics. The system also utilizes active markers that emit infrared light which are placed on anatomical landmarks of a subject to determine segment size characteristics. It then uses clusters of markers to track the segment motions through 3 dimensional space. The system reports a 3600x3600 pixel resolution (equivalent to 12.4 megapixels of resolution) which equates to sub-millimeter accuracy in the concerned capture volume. The system was controlled with custom prepared software coded in National Instrument's LabVIEW (Austin, TX) that performs automated filtering (3rd order Butterworth with a 25Hz low pass cutoff) and marker interpolation. 6 DOF, 13 Segment, Marker Set: A combination of arrays of markers placed on a rigid surface (clusters) and markers placed on anatomical landmarks. ; Segments: Head, Right Upper Arm, Left Upper Arm, Right Lower Arm, Left Lower Arm, Trunk, Pelvis, Right Thigh, Left Thigh, Right Shank, Left Shank, Right Foot, Left Foot. ; Treadmill: Fully instrumented split belt treadmill (FIT, Bertec, Inc.) with incline that measures 3D ground reaction forces and moments. Electromyograph: MA400,16 channel EMG system:10Hz-2,000Hz -3dB (Motion Lab Systems, Baton Rouge, LA) Walkway: Gaitrite Platinum instrumented walkway (Franklin, NJ) Data Collection and Processing: National Instruments DAQ with in-house, custom written software programs for data collection and analysis (LabVIEW, National Instruments Corp., Austin,TX and MATLAB, MathWorks, Natick, MA)
  • Methods

    For each subject and each condition 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).
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks..
  • Abstract

    Datasets:

    • DS1: Dataset
Geographic Coverage
  • South Carolina
  • United States
Sampled Universe
Males and Females, healthy and 6+ months post stroke, ages 40-80, living in the Southeastern United States.
Sampling
Males and females, ages 40-80, 27 post stroke and 17 healthy controls.
Note
2018-11-20 For each of the collected sessions EMG/LP 10Hz.emg files have been added. Also, the codebook and user guide have been updated with additional information and corrections. Funding institution(s): United States Department of Health and Human Services. National Institutes of Health (2R01 HD46820-06).
Availability
Delivery
One or more files in this study are not available for download due to special restrictions; consult the study documentation to learn more on how to obtain the data.
Alternative Identifiers
  • 37122 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR37122.v2
Publications
  • Routson, Rebecca L., Kautz, Steven A., Neptune, Richard R.. Modular organization across changing task demands in healthy and poststroke gait. Physiological Reports.2, (6), e120552014.
    • ID: 10.14814/phy2.12055 (DOI)

Update Metadata: 2018-11-29 | Issue Number: 4 | Registration Date: 2018-08-16

Kautz, Steven A.; Neptune, Richard R. (2018): Medical University of South Carolina Stroke Data (ARRA). Version 1. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR37122.v1