Classification of plantar foot alterations by fuzzy cognitive maps against multi-layer perceptron neural network

• Autorzy: Ramirez-Bautista Julian Andres , Huerta-Ruelas Jorge Adalberto , Kóczy László T. , Hatwágner Miklós F. , Chaparro-Cárdenas Silvia L. , Hernández-Zavala Antonio

Identyfikatory

DOI

10.1016/j.bbe.2019.12.008

• Języki publikacji: EN

Abstrakty

EN

Load distribution analysis on foot surface allows knowing human mechanical behavior and aids the doctor in the detection of gait disorders like, the risk of foot ulcerations, leg discrepancy, and footprint alterations. Plantar pressure data combined with techniques that use integral reasoning produce easy understanding medical tools for assisting in treatment, early detection, and the development of preventive strategies. The present research compares the classification of human plantar foot alterations using Fuzzy Cognitive Maps (FCM) trained by Genetic Algorithm (GA) against a Multi-Layer Perceptron Neural Network (MLPNN). One hundred and fifty-one subject volunteers (aged 7–77) were classified previously with the flat foot (n = 70) and cavus foot (n = 81) by specialized physicians of the Piédica diagnostic center. The trial walking was conducted using plantar pressure platforms FreeMed^®. The foot surface was divided into 14 areas that included toe 1 st to 5th, metatarsal joint 1st to 5th, lateral midfoot, medial midfoot, lateral heel, and medial heel. Pressure data were normalized for each area. Better performance in the classification using small amounts of data were found by using Fuzzy rather than non-Fuzzy approach.

Słowa kluczowe

EN

computer aided diagnosis; disease diagnosis; fuzzy cognitive maps; neural network; optimization algorithm; plantar pressure alterations

PL

diagnoza wspomagana komputerowo; rozpoznanie choroby; rozmyta mapa kognitywna; sieć neuronowa; algorytm optymalizacji; ciśnienie podeszwowe

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2020
• Tom: Vol. 40, no. 1
• Strony: 404--414
• Opis fizyczny: Bibliogr. 46 poz., rys., tab.

Twórcy

autor

Ramirez-Bautista Julian Andres

• Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada –Instituto Politécnico Nacional, Querétaro, Mexico

autor

Huerta-Ruelas Jorge Adalberto

• Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada –Instituto Politécnico Nacional, Querétaro, Mexico

autor

Kóczy László T.

• Department of Information Technology, Széchenyi István University, Gyor, Hungary; Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary

autor

Hatwágner Miklós F.

• Department of Information Technology, Széchenyi István University, Gyor, Hungary

autor

Chaparro-Cárdenas Silvia L.

• Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada –Instituto Politécnico Nacional, Querétaro, Mexico

autor

Hernández-Zavala Antonio

• Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada – Instituto Politécnico Nacional, Av. Cerro Blanco #141, Col. Colinas del Cimatario, Querétaro, Mexico

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).