New insights into the plantar pressure correlates of walking speed using pedobarographic statistical parametric mapping (pSPM)

Pataky, Todd C.; Caravaggi, Paolo; Savage, Russell E.; Parker, Daniel; Goulermas, John Y.; Sellers, William I.; Crompton, Robin H.

doi:10.1016/j.jbiomech.2008.03.034

Cited by 117 publications

(108 citation statements)

References 24 publications

Supporting

Mentioning

101

Contrasting

Order By: Relevance

“…Similar increases were reported by previous studies evaluating speed and plantar pressure relationship [14,21,22,24,30]. However, most studies have included speeds higher than current the study in their comparisons.…”

Section: Discussionsupporting

confidence: 84%

“…Warren and colleagues, using a sample of 19 men, reported that pressures increased by 91% to 289% when the walking speed changed from 0.045 and 1.79 m/s and concluded that a linear relationship exists between speeds and peak plantar pressure in heel, medial forefoot and toes [21]. Similarly, other studies have established a positive correlation between walking speed and peak plantar pressure in various regions of foot [22,24]. It is evident from the literature that speed can influence plantar pressures.…”

Section: Introductionmentioning

confidence: 92%

“…To Summarize, speed and shoe heel height themselves have an effect on plantar pressure distribution [11,[18][19][20][21]24], but there is limited evidence with regards to the interaction between speed and heel height on changes in peak plantar pressure. Therefore, the aim of this study is to investigate whether the effect of heel height on plantar pressure is the same for different walking speeds.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Influence of Walking Speed and Heel Height on Peak Plantar Pressure in the Forefoot of Healthy Adults: A Pilot Study

Rangra¹,

Santos²,

Coda³

et al. 2017

Clin Res Foot Ankle

View full text Add to dashboard Cite

Background: The body of empirical research is suggestive of the fact that faster walking speed and increasing heel height can both give rise to elevated plantar pressures. However, there is little evidence of the interaction between walking speed and heel height on changes in plantar pressure. Therefore, the aim of this study was to investigate whether the effect of heel height on plantar pressure is the same for different walking speeds

show abstract

Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Influence of Walking Speed and Heel Height on Peak Plantar Pressure in the Forefoot of Healthy Adults: A Pilot Study

Rangra¹,

Santos²,

Coda³

et al. 2017

Clin Res Foot Ankle

View full text Add to dashboard Cite

show abstract

“…The Achilles tendon may also play a role in walking. In our recent pixellevel statistical comparison of plantar pressures at varying walking speeds (Pataky et al 2008), we found a negative correlation between peak pressure and walking speed over the midfoot and proximal forefoot. If the arch were only passively supported, primarily by tension in the plantar aponeurosis (PA), we would expect the arch to collapse to a greater degree under the larger ground reaction forces, which Keller et al (1996) have shown are associated with faster walking.…”

Section: Discussionmentioning

confidence: 62%

Evolutionary Robotic Approaches in Primate Gait Analysis

et al. 2010

Self Cite

View full text Add to dashboard Cite

Understanding how primates move is particularly challenging because many of the experimentation techniques that would normally be available are unsuitable for ethical and conservation reasons. We therefore need to develop techniques that can maximize the data available from minimally intrusive experimentation. One approach for achieving this is to use evolutionary robotic techniques to build a musculoskeletal simulation and generate movement patterns that optimize some global parameter such as economy or performance, or to match existing kinematic data. If the simulation has a sufficiently high biofidelity and can match experimentally measured performance criteria then we can use it to predict aspects of locomotor mechanics that would otherwise be impossible to measure. This approach is particularly valuable when studying fossil primates because it can be based entirely on morphology and can generate movements spontaneously. A major question in human evolution is the origin of bipedal running and the role of elastic energy storage. By using an evolutionary robotics model of humanoid running we can show that elastic storage is required for efficient, high-performance running. Elasticity allows both energy recovery to minimize total energy cost and also power amplification to allow high performance. The most important elastic energy store on the human hind limb is the Achilles tendon: a feature that is at best weakly expressed among the African great apes. By running simulations both with and without this structure we can demonstrate its importance, and we suggest that identification of the presence or otherwise of this tendon-perhaps by calcaneal morphology or Sharpey's fibers-is essential for identifying when and where in the fossil record human style running originated.

show abstract

“…Image registration, the process of optimally aligning homologous structures represented in images, is demanded by clinicians and researchers, as some usual clinical tasks such as, cases comparison, identification of the main plantar pressure areas and classification of the foot type, can be easier attained. In addition, pedobarographic image registration supports pixel-level statistics, which makes possible the extraction of biomechanically-relevant information more effectively than traditional regional techniques [3]. Several studies on the registration of pedobarographic images have been developed; for example, using principal axes transformation [4], modal matching [5,6], principal axes combined with steepest descent gradient search [7], optimization with evolutionary algorithms [8], based on foot size and progression angle [9], contours matching [10], optimization of the cross-correlation (CC) computed in the frequency domain [11], phase correlation [11], and optimization of an image (dis)similarity measure using an iterative scheme [12].…”

Section: Introductionmentioning

confidence: 99%

Registration of plantar pressure images

Oliveira

Tavares

2011

Numer Methods Biomed Eng

View full text Add to dashboard Cite

SUMMARYWe present an analysis of four different algorithms used to register plantar pressure images: a first one based on the matching of the external contours of the feet, a second algorithm based on the technique of phase correlation, a third one based on the direct optimization of the cross-correlation (CC) and using the Fourier transform, and a fourth and last algorithm that is based on the iterative optimization of an intensity (dis)similarity measure. In terms of accuracy, the later algorithm achieved the best registration results; on the other hand, the algorithm based on the matching of contours was the fastest, but its accuracy was inferior to the accuracy of the remaining algorithms.

show abstract

New insights into the plantar pressure correlates of walking speed using pedobarographic statistical parametric mapping (pSPM)

Cited by 117 publications

References 24 publications

The Influence of Walking Speed and Heel Height on Peak Plantar Pressure in the Forefoot of Healthy Adults: A Pilot Study

The Influence of Walking Speed and Heel Height on Peak Plantar Pressure in the Forefoot of Healthy Adults: A Pilot Study

Evolutionary Robotic Approaches in Primate Gait Analysis

Registration of plantar pressure images

Contact Info

Product

Resources

About