The effect of footwear on postural control in bipedal quiet stance

Federolf, Peter; Roos, Lilian; Nigg, Benno M.

doi:10.1080/19424280.2012.666270

Cited by 30 publications

(37 citation statements)

References 42 publications

(37 reference statements)

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“…We could form this hypothesis since the assessment of the occurrence of falls in the elderly population (more prone to falls) provided evidence that footwear had a substantial effect on the risk of falls [8]. Additionally, it was also proved that the use of proper footwear could provide more stable posture [2]. To our surprise, there are no investigations considering the mode of body transfer after amputations due to frostbite.…”

Section: Discussionmentioning

confidence: 99%

Kinematic gait analysis of a young man after amputation of the toes

Forczek

Ruchlewicz

Gawęda

2014

Biomedical Human Kinetics

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SummaryStudy aim: the foot is recognised as a "functional unit" with two important aims: to support body weight and to serve as a lever to propel the body forward. When it is impaired, the locomotor pattern has to adapt to compensate for the dysfunction. The purpose of this study was to investigate gait kinematics of a man after bilateral partial amputation of the toes. Material and methods: the subject of the study was a young man aged 30 years (body height and mass: 186 cm, 82 kg) who suffered a frostbite injury in the feet while climbing in the severe mountain conditions. After a few months of treatment, the necessary amputation occurred. Three-dimensional lower limb kinematics was collected from motion capture system (Vicon 250) and Golem marker set-up using 5 video-based cameras with infrared strobes. The subject performed over-ground walking at self-selected speed, first barefoot, then wearing athletic shoes. Results: the patient's results are the mean values of sixteen full gait cycles. The spatiotemporal parameters were lower during gait without shoes. In terms of the angular changes of the lower limb joints in sagittal plane, the analysis revealed similar functional patterns and typical trends in both recorded conditions. The differences, however, occurred in their amplitude. A larger range of motion was generally noted in shod conditions. The higher the joint was, the smaller the differences were. Conclusions: changes in gait due to the forefoot dysfunction may be stabilizing adaptations related to fear of falling. Footwear provided more stable conditions.

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Section: Discussionmentioning

confidence: 99%

Kinematic gait analysis of a young man after amputation of the toes

Forczek

Ruchlewicz

Gawęda

2014

Biomedical Human Kinetics

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“…In each trial, 19,201 posture vectors were collected (80 seconds at 240 Hz measurement frequency) quantifying the entirety of the subject's movement during the analyzed period. Previous studies calculated a principal component analysis (PCA) directly on such posture vectors yielding trial-and subject-dependent principal movement components (Abe et al, 2010;Daffertshofer et al, 2004;Federolf et al, 2012a;Federolf et al, 2012b;Federolf et al, 2012c;Troje, 2002;Verrel et al, 2009). The current study employed a normalization technique that allowed combining the posture vectors of different subjects, such that universal principal movements could be calculated.…”

Section: Discussionmentioning

confidence: 99%

“…In a previous study a PCA-decomposition of postural movements of individual trials proved to be highly sensitive for the detection of intra-subject effects such as differences in the structure of postural movements between shod and barefoot standing (Federolf et al, 2012c) -a highly relevant research question when analysing the risk of a fall in older adults (Koepsell et al, 2004). The current study enhanced this analysis method by applying a normalization technique to filter out anthropometric differences before submitting the data to the PCA.…”

Section: Application Of Pca To Decompose Postural Movementsmentioning

confidence: 99%

“…A principal component analysis (PCA) on these posture vectors extracts the main ("principal") movement components constituting the subject's movements (Federolf et al, 2012a). Even when motion amplitudes are as small as during quiet stance, this method proved to be well suited to determine subject-specific multi-segment coordination patterns in postural movements (Federolf et al, 2012c). The current study presents a normalization technique that allowed calculation of principal postural movements for a group of subjects, thus facilitating a direct comparison of postural movement strategies between subjects.…”

Section: Introductionmentioning

confidence: 99%

“…The cumulative normalized variance, Σσ 2 j , can also be seen as a measure of the movement's complexity, in the sense that a movement may be considered as more complex if more onedimensional movement components are needed to represent a given percentage of the postural variance that occurs in a given movement (Federolf et al, 2012c;Verrel et al, 2009;Witte et al, 2010).…”

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confidence: 99%

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Analysis of the multi-segmental postural movement strategies utilized in bipedal, tandem and one-leg stance as quantified by a principal component decomposition of marker coordinates

Federolf

Roos

Nigg

2013

Journal of Biomechanics

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This file was dowloaded from the institutional repository Brage NIH -brage.bibsys.no/nih Federolf, P., Roos, L., Nigg, B. (2013) AbstractPostural control research describes ankle-, hip-, or multi-joint strategies as mechanisms to control upright posture. The objectives of this study were, first, development of an analysis technique facilitating a direct comparison of the structure of such multi-segment postural movement patterns between subjects; second, comparison of the complexity of postural movements between three stances of different difficulty level; and third, investigation of between-subject differences in the structure of postural movements and of factors that may contribute to these differences.Twenty-nine subjects completed 100-second trials in bipedal (BP), tandem (TA) and one-leg stance (OL). Their postural movements were recorded using 28 reflective markers distributed over all body segments. These marker coordinates were interpreted as 84-dimensional posture vectors, normalized, concatenated from all subjects, and submitted to a principal component analysis (PCA) to extract principal movement components (PM). The PMs were characterized by determining their relative contribution to the subject's entire postural movements and the smoothness of their time series.Four, eight, and nine PM were needed to represent 90% of the total variance in BP, TA, and OL, respectively, suggesting that increased task difficulty is associated with increased complexity of the movement structure. Different subjects utilized different combinations of PMs to control their posture. In several PMs, the relative contribution of a PM to a subject's overall postural movements correlated with the smoothness of the PM's time series, suggesting that utilization of specific postural PMs may depend on the subject's ability to control the PM's temporal evolution.3

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Time scale dependence of the center of pressure entropy: What characteristics of the neuromuscular postural control system influence stabilographic entropic half-life?

2015

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The center of pressure (COP) movement in studies of postural control reveals a highly regular structure (low entropy) over short time periods and a highly irregular structure over large time scales (high entropy). Entropic half-life (EnHL) is a novel measure that quantifies the time over which short-term temporal correlations in a time series deteriorate to an uncorrelated, random structure. The current study suggested and tested three hypotheses about how characteristics of the neuromuscular postural control system may affect stabilometric EnHL: (H1) control system activity hypothesis: EnHL decreases with increased frequency of control system interventions adjusting COP motion; (H2) abundance of states hypothesis: EnHL decreases with increased number of mechanically equivalent states available to the postural system; and (H3) neurologic process hierarchy hypothesis: EnHL increases if postural control functions shift from the spinal level to the motor cortex. Thirty healthy participants performed quiet stance tests for 90 s in 18 different conditions: stance (bipedal, one-legged, and tandem); footwear (bare foot, regular sports shoe, and rocker sole shoes); and simultaneous cognitive task (two-back working memory task, no challenge). A four-way repeated-measures ANOVA revealed significant changes in EnHL for the different stance positions and for different movement directions (medio-lateral, anterior-posterior). These changes support H1 and H2. Significant differences were also found between rocker sole shoes and normal or barefoot standing, which supports H3. This study contributes to the understanding of how and why EnHL is a useful measure to monitor neuromuscular control of balance.

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The effect of footwear on postural control in bipedal quiet stance

Cited by 30 publications

References 42 publications

Kinematic gait analysis of a young man after amputation of the toes

Kinematic gait analysis of a young man after amputation of the toes

Analysis of the multi-segmental postural movement strategies utilized in bipedal, tandem and one-leg stance as quantified by a principal component decomposition of marker coordinates

Time scale dependence of the center of pressure entropy: What characteristics of the neuromuscular postural control system influence stabilographic entropic half-life?

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