Gait-Initiation Onset Estimation During Sit-to-Walk Comparing Healthy Individuals and Ambulatory Community-Dwelling Stroke Survivors
Dataset
Jones, GD, James, DC, Thacker, M, Perry, R and Green, DA (2019). Gait-Initiation Onset Estimation During Sit-to-Walk Comparing Healthy Individuals and Ambulatory Community-Dwelling Stroke Survivors. https://doi.org/10.18744/LSBU.002933
Authors | Jones, GD, James, DC, Thacker, M, Perry, R and Green, DA |
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Abstract | These data consist of measured variables derived from Visual 3D software (C-Motion Inc., Germantown, USA) for trials undertaken by 20 stroke subjects and 21 gender and age-matched healthy subjects performing 2 tasks (sit-to-walk [STW] and sit-to-stand [STS]) 5 times. Subjects began walking with their affected lower extremity (stroke group) or their non-dominant lower extremity (NonDom; healthy group). |
Keywords | stroke; gait; sit-to-walk; sit-to-stand |
Year | 2019 |
Digital Object Identifier (DOI) | https://doi.org/10.18744/LSBU.002933 |
Data files | License Data type Spreadsheet File Access Level Open |
Data files | License Data type Text Contents README File Access Level Open |
Data collection period | 01 Dec 2016 to end of 28 Feb 2017 |
Data collection method | Subjects were asked to perform STW and STS on 5 occasions each, in a randomised order during one measurement session. On each occasion subjects followed a novel low-risk protocol. They were instructed in all trials, upon illumination of a light signal, to stand and walk forward (having led with their affected (stroke) or non-dominant (healthy) leg) ~5m along a walkway at a comfortable pace, stop and turn off the light using a switch. In the STS trials, subjects commenced walking having paused once upright. |
Data preparation and processing activities | Raw marker trajectories and analogue data were imported into Visual3D software. Kinematic and kinetic data were processed with a 10 Hz and 25 Hz 4th order low-pass Butterworth filter, respectively. The pressure-mat analogue signal was filtered using 25-point window averaging in order to reproducibly determine seat-off. |
Publication dates | |
Online | 07 Feb 2019 |
Publication process dates | |
Deposited | 25 Jul 2019 |
https://openresearch.lsbu.ac.uk/item/87595
Download files
Data files
GI-onset Data.xlsx | ||
License: CC BY 4.0 | ||
File access level: Open |
GI_onset Data_README_v1.docx | ||
License: CC BY 4.0 | ||
File access level: Open |
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