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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorZanin, Massimiliano
dc.contributor.authorOlivares, Felipe
dc.contributor.authorPulido-Valdeolivas, Irene
dc.contributor.authorRausell Tamayo, Estrella
dc.contributor.authorGómez Andrés, David
dc.date.accessioned2022-09-13T12:34:15Z
dc.date.available2022-09-13T12:34:15Z
dc.date.issued2022
dc.identifier.citationZanin M, Olivares F, Pulido-Valdeolivas I, Rausell E, Gomez-Andres D. Gait analysis under the lens of statistical physics. Comput Struct Biotechnol J. 2022;20:3257–67.
dc.identifier.issn2001-0370
dc.identifier.urihttp://hdl.handle.net/11351/8184
dc.descriptionHuman gait; Irreversibility; Multi-fractal analysis
dc.description.abstractHuman gait is a fundamental activity, essential for the survival of the individual, and an emergent property of the interactions between complex physical and cognitive processes. Gait is altered in many situations, due both to external constraints, as e.g. paced walk, and to physical and neurological pathologies. Its study is therefore important as a way of improving the quality of life of patients, but also as a door to understanding the inner working of the human nervous system. In this review we explore how four statistical physics concepts have been used to characterise normal and pathological gait: entropy, maximum Lyapunov exponent, multi-fractal analysis and irreversibility. Beyond some basic definitions, we present the main results that have been obtained in this field, as well as a discussion of the main limitations researchers have dealt and will have to deal with. We finally conclude with some biomedical considerations and avenues for further development.
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesComputational and Structural Biotechnology Journal;20
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectEntropia
dc.subjectTrastorns de la marxa
dc.subjectNeurologia
dc.subject.meshEntropy
dc.subject.meshGait Analysis
dc.subject.meshNeurologic Examination
dc.titleGait analysis under the lens of statistical physics
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.csbj.2022.06.022
dc.subject.decsentropía
dc.subject.decsanálisis de la marcha
dc.subject.decsexploración neurológica
dc.relation.publishversionhttps://doi.org/10.1016/j.csbj.2022.06.022
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Zanin M, Olivares F] Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, Palma de Mallorca, Spain. [Pulido-Valdeolivas I, Rausell E] Department of Anatomy, Histology and Neuroscience, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain. [Gomez-Andres D] Department of Anatomy, Histology and Neuroscience, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain. Servei de Neurologia Pediàtrica, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. European Reference Network-Rare Neurological Diseases, Barcelona, Spain
dc.identifier.pmid35782747
dc.identifier.wos000822671900003
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/851255
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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