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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| Format: | Article |
| Language: | English |
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MDPI AG
2018-01-01
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| Series: | Entropy |
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| Online Access: | http://www.mdpi.com/1099-4300/20/1/77 |
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| author | Massimiliano Zanin David Gómez-Andrés Irene Pulido-Valdeolivas Juan Andrés Martín-Gonzalo Javier López-López Samuel Ignacio Pascual-Pascual Estrella Rausell |
| author_facet | Massimiliano Zanin David Gómez-Andrés Irene Pulido-Valdeolivas Juan Andrés Martín-Gonzalo Javier López-López Samuel Ignacio Pascual-Pascual Estrella Rausell |
| author_sort | Massimiliano Zanin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T12:59:53Z |
| format | Article |
| id | doaj.art-d70f9b04bcb74920a1e789ae23770b13 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T12:59:53Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-d70f9b04bcb74920a1e789ae23770b132022-12-22T04:22:59ZengMDPI AGEntropy1099-43002018-01-012017710.3390/e20010077e20010077Characterizing Normal and Pathological Gait through Permutation EntropyMassimiliano Zanin0David Gómez-Andrés1Irene Pulido-Valdeolivas2Juan Andrés Martín-Gonzalo3Javier López-López4Samuel Ignacio Pascual-Pascual5Estrella Rausell6Center for Biomedical Technology, Universidad Politécnica de Madrid, Pozuelo de Alarcón, 28223 Madrid, SpainMOVUAM-TRADESMA laboratory, Department of Anatomy, Histology and Neuroscience, Universidad Autónoma de Madrid, IdiPaz, 28029 Madrid, SpainMOVUAM-TRADESMA laboratory, Department of Anatomy, Histology and Neuroscience, Universidad Autónoma de Madrid, IdiPaz, 28029 Madrid, SpainMOVUAM-TRADESMA laboratory, Department of Anatomy, Histology and Neuroscience, Universidad Autónoma de Madrid, IdiPaz, 28029 Madrid, SpainMOVUAM-TRADESMA laboratory, Department of Anatomy, Histology and Neuroscience, Universidad Autónoma de Madrid, IdiPaz, 28029 Madrid, SpainMOVUAM-TRADESMA laboratory, Department of Anatomy, Histology and Neuroscience, Universidad Autónoma de Madrid, IdiPaz, 28029 Madrid, SpainMOVUAM-TRADESMA laboratory, Department of Anatomy, Histology and Neuroscience, Universidad Autónoma de Madrid, IdiPaz, 28029 Madrid, SpainCerebral 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.http://www.mdpi.com/1099-4300/20/1/77permutation entropycerebral palsyinstrumental gait analysis |
| spellingShingle | Massimiliano Zanin David Gómez-Andrés Irene Pulido-Valdeolivas Juan Andrés Martín-Gonzalo Javier López-López Samuel Ignacio Pascual-Pascual Estrella Rausell Characterizing Normal and Pathological Gait through Permutation Entropy Entropy permutation entropy cerebral palsy instrumental gait analysis |
| 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 | permutation entropy cerebral palsy instrumental gait analysis |
| url | http://www.mdpi.com/1099-4300/20/1/77 |
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