Gait-Initiation Onset Estimation During Sit-to-Walk Comparing Healthy Individuals and Ambulatory Community-Dwelling Stroke Survivors
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|
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|
|Digital Object Identifier (DOI)||https://doi.org/10.18744/LSBU.002933|
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|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.
|Online||07 Feb 2019|
|Publication process dates|
|Deposited||25 Jul 2019|
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