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Detecting Pediatric Foot Deformities Using Plantar Pressure Measurements: A Semisupervised Approach

K. Ramakrishna Kini, Muddu Madakyaru, Fouzi Harrou, Ying Sun

Open publisher page 5 citations

Abstract

This article presents a semisupervised machine learning approach to identify pediatric foot deformities using foot plantar pressure measurements. It synergistically combines the benefits of PCA for feature extraction and the Kantorovich distance to handle deformities.

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What this paper is about

This article presents a semisupervised machine learning approach to identify pediatric foot deformities using foot plantar pressure measurements. It synergistically combines the benefits of PCA for feature extraction and the Kantorovich distance to handle deformities.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This article presents a semisupervised machine learning approach to identify pediatric foot deformities using foot plantar pressure measurements. It synergistically combines the benefits of PCA for feature extraction and the Kantorovich distance to handle deformities.

Key concepts: Plantar pressure, Foot (prosody), Foot pressure, Physical medicine and rehabilitation, Medicine, Computer science, Orthodontics, Engineering

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