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Comput Math Methods Med ; 2021: 9061241, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34413899

RESUMO

Identification of over-pressure areas in the plantar side of the foot in patients with diabetic foot and reduction of plantar pressure play a major role in clinical practice. The use of individual orthopedic insoles is essential to reduce the over-pressure. The aim of the present study is to mark the over-pressure areas of the plantar part of the foot on a pedogram and describe them with high accuracy using a mathematical research method. The locally over-pressured areas with calluses formed due to repeated injuries were identified on the patients' pedograms. The geometric shapes of the over-pressure areas were described by means of the integral curves of the solutions to Dirichlet singular boundary differential equations. Based on the mathematical algorithm describing those curves, the computer programs were developed. The individual orthopedic insoles were produced on a computer numerical control milling machine considering the locally over-pressured areas. The ethylene vinyl acetate polymers of different degrees of hardness were used to produce the individual orthopedic insoles. For the over-pressure areas, a soft material with a hardness of 20 Shore A was used, which reduces the pressure on the plantar side of the foot and increases the contact area. A relatively hard material with a hardness of 40 Shore A was used as the main frame, which imparts the stability of shape to the insole and increases its wear life. The individual orthopedic insoles produced by means of such technology effectively reduce the pressure on the plantar side of the foot and protect the foot from mechanical damage, which is important for the treatment of the diabetic foot.


Assuntos
Pé Diabético/terapia , Aparelhos Ortopédicos , Sapatos , Algoritmos , Fenômenos Biomecânicos , Biologia Computacional , Pé Diabético/patologia , Pé Diabético/fisiopatologia , Desenho de Equipamento/métodos , Desenho de Equipamento/estatística & dados numéricos , Humanos , Modelos Estatísticos , Aparelhos Ortopédicos/estatística & dados numéricos , Medicina de Precisão/estatística & dados numéricos , Pressão , Sapatos/estatística & dados numéricos
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