Is treadmill walking biomechanically comparable to overground walking? A systematic review

Semaan, Marie B.; Wallard, Laura; Ruiz, Valentin; Gillet, Christophe; Leteneur, Sébastien; Simoneau-Buessinger, Émilie

doi:10.1016/j.gaitpost.2021.11.009

Cited by 34 publications

(10 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies have shown that differences in gait parameters between treadmill and overground walking were negligible 14 , 15 ; accordingly, we used an instrumented treadmill for gait analysis in line with similar studies 5 , 11 , 13 . All participants walked for 30 s at eight different speeds (2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, and 5.5 km/h) on a split-belt force-instrumented treadmill (Fig.…”

Section: Methodsmentioning

confidence: 63%

Centre of pressure during walking after unilateral transfemoral amputation

Ichimura

Hisano

Murata

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Lower-limb amputation imposes a health burden on amputees; thus, gait assessments are required prophylactically and clinically, particularly for individuals with unilateral transfemoral amputation (UTFA). The centre of pressure (COP) during walking is one of the most useful parameters for evaluating gait. Although superimposed COP trajectories reflect the gait characteristics of individuals with neurological disorders, the quantitative characteristics based on the COP trajectories of individuals with UTFA remain unclear. Thus, these COP trajectories were investigated across a range of walking speeds in this study. The COP trajectories were recorded on a split-belt force-instrumented treadmill at eight walking speeds. Asymmetry and variability parameters were compared based on the COP trajectories of 25 individuals with UTFA and 25 able-bodied controls. The COP trajectories of the individuals with UTFA were significantly larger in lateral asymmetry and variability but did not show significant differences in anterior–posterior variability compared with those of the able-bodied controls. Further, the individuals with UTFA demonstrated larger lateral asymmetry at lower speeds. These results suggest that (1) individuals with UTFA adopt orientation-specific balance control strategies during gait and (2) individuals with UTFA could also be exposed to a higher risk of falling at lower walk speeds.

show abstract

Section: Methodsmentioning

confidence: 63%

Centre of pressure during walking after unilateral transfemoral amputation

Ichimura

Hisano

Murata

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Both of the above-mentioned studies were conducted overground, while our study was performed on a treadmill. Two recent systematic reviews indicate that saptiotemporal outcomes for treadmill and overground locomotion (walking and running) are essentially equivalent [ 49 , 50 ], therefore, further studies are still required to confirm the equivalence of the stride length variability when walking on different conditions.…”

Section: Discussionmentioning

confidence: 99%

Barefoot walking is more stable in the gait of balance recovery in older adults

et al. 2022

View full text Add to dashboard Cite

Background Perturbation-based balance training on a treadmill is an emerging method of gait stability training with a characteristic task nature that has had positive and sustained effects on balance recovery strategies and fall reduction. Little is known about the effects produced by shod and barefoot walking. We aimed to investigate which is more appropriate, shod or barefoot walking, for perturbation-based balance training in older adults. Methods Fourteen healthy older adults (age: 68.29 ± 3.41 years; body height: 1.76 ± 0.10 m; body mass: 81.14 ± 14.52 kg) performed normal and trip-like perturbed walking trials, shod and barefoot, on a treadmill of the Gait Real-time Analysis Interactive Lab. The marker trajectories data were processed by Human Body Model software embedded in the Gait Offline Analysis Tool. The outcomes of stride length variability, stride time variability, step width variability, and swing time variability were computed and statistically analyzed by a two-way repeated-measures analysis of variance (ANOVA) based on gait pattern (normal gait versus perturbed recovery gait) and footwear condition (shod versus barefoot). Results Footwear condition effect (p = 0.0310) and gait pattern by footwear condition interaction effect (p = 0.0055) were only observed in swing time variability. Gait pattern effects were detected in all four outcomes of gait variability. Conclusions Swing time variability, independent of gait speed, could be a valid indicator to differentiate between footwear conditions. The lower swing time variability in perturbed recovery gait suggests that barefoot walking may be superior to shod walking for perturbation-based balance training in older adults.

show abstract

“…Further, it must be noted that because this dataset uses controlled, treadmill walking, its application should be limited to research questions regarding these applications. Considering biomechanical differences between treadmill and overground walking 14 as well as between steady and non-steady walking 15 , the dataset does not address changes in self-selected, spontaneous walking speeds during overground walking 16 .…”

Section: Incorrect Stepping On Force Plates (One Trial)mentioning

confidence: 99%

A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths

2022

View full text Add to dashboard Cite

The biomechanics of human walking are well documented for standard conditions such as for self-selected step length and preferred speed. However, humans can and do walk with a variety of other step lengths and speeds during daily living. The variation of biomechanics across gait conditions may be important for describing and determining the mechanics of locomotion. To address this, we present an open biomechanics dataset of steady walking at a broad range of conditions, including 33 experimentally-controlled combinations of speed (0.7–2.0 m·s−1), step length (0.5–1.1 m), and step width (0–0.4 m). The dataset contains ground reaction forces and motions from healthy young adults (N = 10), collected using split-belt instrumented treadmill and motion capture systems respectively. Most trials also include pre-computed inverse dynamics, including 3D joint positions, angles, torques and powers, as well as intersegmental forces. Apart from raw data, we also provide five strides of good quality data without artifacts for each trial, and sample software for visualization and analysis.

show abstract

Is treadmill walking biomechanically comparable to overground walking? A systematic review

Cited by 34 publications

References 41 publications

Centre of pressure during walking after unilateral transfemoral amputation

Centre of pressure during walking after unilateral transfemoral amputation

Barefoot walking is more stable in the gait of balance recovery in older adults

A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths

Contact Info

Product

Resources

About