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Characterizing Normal and Pathological Gait through Permutation Entropy

Cerebral palsy is a physical impairment stemming from a brain lesion at perinatal time, most of the time resulting in gait abnormalities: the first cause of severe disability in childhood. Gait study, and instrumental gait analysis in particular, has been receiving increasing attention in the last f...

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Autores principales: Zanin, Massimiliano, Gómez-Andrés, David, Pulido-Valdeolivas, Irene, Martín-Gonzalo, Juan Andrés, López-López, Javier, Pascual-Pascual, Samuel Ignacio, Rausell, Estrella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512275/
https://www.ncbi.nlm.nih.gov/pubmed/33265160
http://dx.doi.org/10.3390/e20010077
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author Zanin, Massimiliano
Gómez-Andrés, David
Pulido-Valdeolivas, Irene
Martín-Gonzalo, Juan Andrés
López-López, Javier
Pascual-Pascual, Samuel Ignacio
Rausell, Estrella
author_facet Zanin, Massimiliano
Gómez-Andrés, David
Pulido-Valdeolivas, Irene
Martín-Gonzalo, Juan Andrés
López-López, Javier
Pascual-Pascual, Samuel Ignacio
Rausell, Estrella
author_sort Zanin, Massimiliano
collection PubMed
description Cerebral palsy is a physical impairment stemming from a brain lesion at perinatal time, most of the time resulting in gait abnormalities: the first cause of severe disability in childhood. Gait study, and instrumental gait analysis in particular, has been receiving increasing attention in the last few years, for being the complex result of the interactions between different brain motor areas and thus a proxy in the understanding of the underlying neural dynamics. Yet, and in spite of its importance, little is still known about how the brain adapts to cerebral palsy and to its impaired gait and, consequently, about the best strategies for mitigating the disability. In this contribution, we present the hitherto first analysis of joint kinematics data using permutation entropy, comparing cerebral palsy children with a set of matched control subjects. We find a significant increase in the permutation entropy for the former group, thus indicating a more complex and erratic neural control of joints and a non-trivial relationship between the permutation entropy and the gait speed. We further show how this information theory measure can be used to train a data mining model able to forecast the child’s condition. We finally discuss the relevance of these results in clinical applications and specifically in the design of personalized medicine interventions.
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spelling pubmed-75122752020-11-09 Characterizing Normal and Pathological Gait through Permutation Entropy Zanin, Massimiliano Gómez-Andrés, David Pulido-Valdeolivas, Irene Martín-Gonzalo, Juan Andrés López-López, Javier Pascual-Pascual, Samuel Ignacio Rausell, Estrella Entropy (Basel) Article Cerebral palsy is a physical impairment stemming from a brain lesion at perinatal time, most of the time resulting in gait abnormalities: the first cause of severe disability in childhood. Gait study, and instrumental gait analysis in particular, has been receiving increasing attention in the last few years, for being the complex result of the interactions between different brain motor areas and thus a proxy in the understanding of the underlying neural dynamics. Yet, and in spite of its importance, little is still known about how the brain adapts to cerebral palsy and to its impaired gait and, consequently, about the best strategies for mitigating the disability. In this contribution, we present the hitherto first analysis of joint kinematics data using permutation entropy, comparing cerebral palsy children with a set of matched control subjects. We find a significant increase in the permutation entropy for the former group, thus indicating a more complex and erratic neural control of joints and a non-trivial relationship between the permutation entropy and the gait speed. We further show how this information theory measure can be used to train a data mining model able to forecast the child’s condition. We finally discuss the relevance of these results in clinical applications and specifically in the design of personalized medicine interventions. MDPI 2018-01-19 /pmc/articles/PMC7512275/ /pubmed/33265160 http://dx.doi.org/10.3390/e20010077 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zanin, Massimiliano
Gómez-Andrés, David
Pulido-Valdeolivas, Irene
Martín-Gonzalo, Juan Andrés
López-López, Javier
Pascual-Pascual, Samuel Ignacio
Rausell, Estrella
Characterizing Normal and Pathological Gait through Permutation Entropy
title Characterizing Normal and Pathological Gait through Permutation Entropy
title_full Characterizing Normal and Pathological Gait through Permutation Entropy
title_fullStr Characterizing Normal and Pathological Gait through Permutation Entropy
title_full_unstemmed Characterizing Normal and Pathological Gait through Permutation Entropy
title_short Characterizing Normal and Pathological Gait through Permutation Entropy
title_sort characterizing normal and pathological gait through permutation entropy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512275/
https://www.ncbi.nlm.nih.gov/pubmed/33265160
http://dx.doi.org/10.3390/e20010077
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