scholarly journals Classification of forefoot plantar pressure distribution in patients with diabetes: A novel perspective for the management of the diabetic foot

2014 ◽  
Vol 39 ◽  
pp. S90-S91 ◽  
Author(s):  
B. Callewaert ◽  
K. Deschamps ◽  
G. Matricali ◽  
P. Roosen ◽  
K. Desloovere ◽  
...  
PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e79924 ◽  
Author(s):  
Kevin Deschamps ◽  
Giovanni Arnoldo Matricali ◽  
Philip Roosen ◽  
Kaat Desloovere ◽  
Herman Bruyninckx ◽  
...  

2006 ◽  
Vol 44 (8) ◽  
pp. 653-663 ◽  
Author(s):  
Ricardo L. Actis ◽  
Liliana B. Ventura ◽  
Kirk E. Smith ◽  
Paul K. Commean ◽  
Donovan J. Lott ◽  
...  

2011 ◽  
Vol 474-476 ◽  
pp. 1377-1379
Author(s):  
Ming Rong ◽  
Yao Dong Gu ◽  
Jian She Li

This study aims to investigate and compare the influence of plantar loading variables during gait of patients with diabetic in young ages. Subjects were divided into the following two groups: diabetic foot, 56 subjects; control group, 52 subjects. Plantar pressure distribution was measured during barefoot gait using the Novel emed platform. Both midfoot and lateral forefoot regions’ peak pressure in the diabetic foot was higher than the normal foot. Also, diabetic foot group experienced significantly higher in pressure-time integral and contact time. Those variables provided an indication of plantar loading behavior over time, and other kinesiological factors like joint deformities and mobility can be investigated in further study.


Author(s):  
Ricardo L. Actis ◽  
Liliana B. Ventura ◽  
Barna A. Szabo ◽  
Kirk E. Smith ◽  
Paul K. Commean ◽  
...  

This paper summarizes the modeling work performed by our research group in the last year utilizing the p-version of the finite element method for the simulation of the mechanical behavior of the human foot in regard to the plantar pressure distribution during push-off.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1450
Author(s):  
Alfredo Ciniglio ◽  
Annamaria Guiotto ◽  
Fabiola Spolaor ◽  
Zimi Sawacha

The quantification of plantar pressure distribution is widely done in the diagnosis of lower limbs deformities, gait analysis, footwear design, and sport applications. To date, a number of pressure insole layouts have been proposed, with different configurations according to their applications. The goal of this study is to assess the validity of a 16-sensors (1.5 × 1.5 cm) pressure insole to detect plantar pressure distribution during different tasks in the clinic and sport domains. The data of 39 healthy adults, acquired with a Pedar-X® system (Novel GmbH, Munich, Germany) during walking, weight lifting, and drop landing, were used to simulate the insole. The sensors were distributed by considering the location of the peak pressure on all trials: 4 on the hindfoot, 3 on the midfoot, and 9 on the forefoot. The following variables were computed with both systems and compared by estimating the Root Mean Square Error (RMSE): Peak/Mean Pressure, Ground Reaction Force (GRF), Center of Pressure (COP), the distance between COP and the origin, the Contact Area. The lowest (0.61%) and highest (82.4%) RMSE values were detected during gait on the medial-lateral COP and the GRF, respectively. This approach could be used for testing different layouts on various applications prior to production.


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