Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.

Reliable characterization of locomotor dynamics of human walking is vital to understanding the neuromuscular control of human locomotion and disease diagnosis. However, the inherent oscillation and ubiquity of noise in such non-strictly periodic signals pose great challenges to current methodologies...

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Autores principales:	Jie Zhang, Kai Zhang, Jianfeng Feng, Michael Small
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/94a6095b61f04262953145742689431c
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spelling	oai:doaj.org-article:94a6095b61f04262953145742689431c2021-11-18T05:50:49ZRhythmic dynamics and synchronization via dimensionality reduction: application to human gait.1553-734X1553-735810.1371/journal.pcbi.1001033https://doaj.org/article/94a6095b61f04262953145742689431c2010-12-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21187907/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Reliable characterization of locomotor dynamics of human walking is vital to understanding the neuromuscular control of human locomotion and disease diagnosis. However, the inherent oscillation and ubiquity of noise in such non-strictly periodic signals pose great challenges to current methodologies. To this end, we exploit the state-of-the-art technology in pattern recognition and, specifically, dimensionality reduction techniques, and propose to reconstruct and characterize the dynamics accurately on the cycle scale of the signal. This is achieved by deriving a low-dimensional representation of the cycles through global optimization, which effectively preserves the topology of the cycles that are embedded in a high-dimensional Euclidian space. Our approach demonstrates a clear advantage in capturing the intrinsic dynamics and probing the subtle synchronization patterns from uni/bivariate oscillatory signals over traditional methods. Application to human gait data for healthy subjects and diabetics reveals a significant difference in the dynamics of ankle movements and ankle-knee coordination, but not in knee movements. These results indicate that the impaired sensory feedback from the feet due to diabetes does not influence the knee movement in general, and that normal human walking is not critically dependent on the feedback from the peripheral nervous system.Jie ZhangKai ZhangJianfeng FengMichael SmallPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 6, Iss 12, p e1001033 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Jie Zhang Kai Zhang Jianfeng Feng Michael Small Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.
description	Reliable characterization of locomotor dynamics of human walking is vital to understanding the neuromuscular control of human locomotion and disease diagnosis. However, the inherent oscillation and ubiquity of noise in such non-strictly periodic signals pose great challenges to current methodologies. To this end, we exploit the state-of-the-art technology in pattern recognition and, specifically, dimensionality reduction techniques, and propose to reconstruct and characterize the dynamics accurately on the cycle scale of the signal. This is achieved by deriving a low-dimensional representation of the cycles through global optimization, which effectively preserves the topology of the cycles that are embedded in a high-dimensional Euclidian space. Our approach demonstrates a clear advantage in capturing the intrinsic dynamics and probing the subtle synchronization patterns from uni/bivariate oscillatory signals over traditional methods. Application to human gait data for healthy subjects and diabetics reveals a significant difference in the dynamics of ankle movements and ankle-knee coordination, but not in knee movements. These results indicate that the impaired sensory feedback from the feet due to diabetes does not influence the knee movement in general, and that normal human walking is not critically dependent on the feedback from the peripheral nervous system.
format	article
author	Jie Zhang Kai Zhang Jianfeng Feng Michael Small
author_facet	Jie Zhang Kai Zhang Jianfeng Feng Michael Small
author_sort	Jie Zhang
title	Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.
title_short	Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.
title_full	Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.
title_fullStr	Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.
title_full_unstemmed	Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.
title_sort	rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/94a6095b61f04262953145742689431c
work_keys_str_mv	AT jiezhang rhythmicdynamicsandsynchronizationviadimensionalityreductionapplicationtohumangait AT kaizhang rhythmicdynamicsandsynchronizationviadimensionalityreductionapplicationtohumangait AT jianfengfeng rhythmicdynamicsandsynchronizationviadimensionalityreductionapplicationtohumangait AT michaelsmall rhythmicdynamicsandsynchronizationviadimensionalityreductionapplicationtohumangait
_version_	1718424800779567104

Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.

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