Medical University of South Carolina Stroke Data (ARRA) (ICPSR 37122)
Version Date: Nov 20, 2018 View help for published
Version V2 (see more versions)
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Summary View help for Summary
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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.
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Restrictions View help for Restrictions
This data collection may not be used for any purpose other than statistical reporting and analysis. Use of these data to learn the identity of any person or establishment is prohibited. To obtain the restricted data, users must complete the Restricted Data Use Agreement available for download from the Dataset(s) section of this study home page. Users must agree to the terms and conditions of the agreement and send the form to ADDEP staff.
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Study Purpose View help for Study Purpose
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.
Study Design View help for Study Design
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)
Sample View help for Sample
Males and females, ages 40-80, 27 post stroke and 17 healthy controls.
Time Method View help for Time Method
Universe View help for Universe
Males and Females, healthy and 6+ months post stroke, ages 40-80, living in the Southeastern United States.
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Description of Variables View help for Description of Variables
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).Hide
Original Release Date View help for Original Release Date
Version History View help for Version History
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.
2018-08-16 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.
The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.