Medical University of South Carolina Stroke Data (ARRA) (ICPSR 37122)

Version Date: Aug 16, 2018 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Steven A. Kautz, Medical University of South Carolina; Richard R. Neptune, University of Texas at Austin

https://doi.org/10.3886/ICPSR37122.v1

Version V1 ()

  • V2 [2018-11-20]
  • V1 [2018-08-16] unpublished

These data are no longer distributed by ICPSR.

Additional information may be available in Collection Notes.

Please refer to the User Guide for detailed description of the data files and data analysis.

ARRA

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.

Kautz, Steven A., and Neptune, Richard R. Medical University of South Carolina Stroke Data (ARRA). Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-08-16. https://doi.org/10.3886/ICPSR37122.v1

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United States Department of Health and Human Services. National Institutes of Health (2R01 HD46820-06)

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.

Inter-university Consortium for Political and Social Research

Please refer to the User Guide for detailed description of the data files and data analysis.

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.

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: 16-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)

Males and females, ages 40-80, 27 post stroke and 17 healthy controls.

Cross-sectional

Males and Females, healthy and 6+ months post stroke, ages 40-80, living in the Southeastern United States.

Individuals
clinical data, experimental data, medical records

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).

2018-08-16

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.