Self-paced versus fixed speed in treadmill walking

Sloot, Lizeth H.; Krogt, Marjolein van der; Harlaar, Jaap

doi:10.1016/j.gaitpost.2013.07.087

Cited by 8 publications

(21 citation statements)

References 2 publications

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“…Cardiff grail system. were asked to perform at least 6-minute of trial walking at their own comfortable walking speed to accustom themselves to self-paced treadmill walking (Liu et al 2016) by means of self-paced speed algorithm (Sloot et al 2014b), whilst the pace of the visual-flow was maintained by the treadmill's pace. The self-paced mode was chosen in order to allow participants to walk with freedom in stride variability.…”

Section: Research Participants and Settingmentioning

confidence: 99%

“…These treadmills offer potential advantages for advancing gait analysis in both clinical and research settings, by recording multiple consecutive strides in a small space (Belli et al 2001;Goldberg et al 2008;Reed et al 2013). However, walking on a treadmill at fixed speed with the absence of visual flow raises the concern over whether gait is being compensated for by maintaining fixed speed (Sheik-Nainar and Kaber 2007;Terrier and Dériaz 2011;Sloot et al 2014b). This could be overcome by introducing a self-paced technique: a novel feedback-controlled paradigm that allows subjects to continually control and intrinsically select the treadmill's speed, in combination with a speed-matched virtual reality that generates visual flow to restore, to some extent, comparable over-ground walking (Souman et al 2008;Geijtenbeek et al 2011;Sloot et al 2014aSloot et al , 2014b.…”

Section: Introductionmentioning

confidence: 99%

“…However, walking on a treadmill at fixed speed with the absence of visual flow raises the concern over whether gait is being compensated for by maintaining fixed speed (Sheik-Nainar and Kaber 2007;Terrier and Dériaz 2011;Sloot et al 2014b). This could be overcome by introducing a self-paced technique: a novel feedback-controlled paradigm that allows subjects to continually control and intrinsically select the treadmill's speed, in combination with a speed-matched virtual reality that generates visual flow to restore, to some extent, comparable over-ground walking (Souman et al 2008;Geijtenbeek et al 2011;Sloot et al 2014aSloot et al , 2014b. The Gait Real-time Analysis Interactive Lab (GRAIL, Motekforce Link, Amsterdam, the Netherlands) system uses the novel approach of a virtual reality-based self-paced treadmill, which integrates a self-paced algorithm to regulate the treadmill's speed, as described by Sloot et al (2014b).…”

Section: Introductionmentioning

confidence: 99%

“…This could be overcome by introducing a self-paced technique: a novel feedback-controlled paradigm that allows subjects to continually control and intrinsically select the treadmill's speed, in combination with a speed-matched virtual reality that generates visual flow to restore, to some extent, comparable over-ground walking (Souman et al 2008;Geijtenbeek et al 2011;Sloot et al 2014aSloot et al , 2014b. The Gait Real-time Analysis Interactive Lab (GRAIL, Motekforce Link, Amsterdam, the Netherlands) system uses the novel approach of a virtual reality-based self-paced treadmill, which integrates a self-paced algorithm to regulate the treadmill's speed, as described by Sloot et al (2014b). Recent literature (Sloot et al 2014a(Sloot et al , 2014bLiu et al 2016) shows potential applications for the GRAIL system in gait assessment.…”

Section: Introductionmentioning

confidence: 99%

“…The Gait Real-time Analysis Interactive Lab (GRAIL, Motekforce Link, Amsterdam, the Netherlands) system uses the novel approach of a virtual reality-based self-paced treadmill, which integrates a self-paced algorithm to regulate the treadmill's speed, as described by Sloot et al (2014b). Recent literature (Sloot et al 2014a(Sloot et al , 2014bLiu et al 2016) shows potential applications for the GRAIL system in gait assessment. However, to the best of our knowledge there is no published research that has established the day-to-day repeatability of the GRAIL system.…”

Section: Introductionmentioning

confidence: 99%

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Intra-rater repeatability of gait parameters in healthy adults during self-paced treadmill-based virtual reality walking

Al-Amri

Balushi

Mashabi

2017

Computer Methods in Biomechanics and Biomedical Engineering

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Self-paced treadmill walking is becoming increasingly popular for the gait assessment and reeducation, in both research and clinical settings. Its day-to-day repeatability is yet to be established. This study scrutinised the test-retest repeatability of key gait parameters, obtained from the Gait Real-time Analysis Interactive Lab (GRAIL) system. Twenty-three male able-bodied adults (age: 34.56 ± 5.12 years) completed two separate gait assessments on the GRAIL system, separated by 5 ± 3 days. Key gait kinematic, kinetic, and spatial-temporal parameters were analysed. The IntraclassCorrelation Coefficients (ICC), Standard Error Measurement (SEM), Minimum Detectable Change (MDC), and the 95% limits of agreements were calculated to evaluate the repeatability of these gait parameters. Day-to-day agreements were excellent (ICCs > 0.87) for spatial-temporal parameters with low MDC and SEM values, <0.153 and <0.055, respectively. The repeatability was higher for joint kinetic than kinematic parameters, as reflected in small values of SEM (<0.13 Nm/kg and <3.4°) and MDC (<0.335 Nm/kg and <9.44°). The obtained values of all parameters fell within the 95% limits of agreement. Our findings demonstrate the repeatability of the GRAIL system available in our laboratory. The SEM and MDC values can be used to assist researchers and clinicians to distinguish 'real' changes in gait performance over time.

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Section: Research Participants and Settingmentioning

confidence: 99%