Gait analysis under the lens of statistical physics
Zanin, Massimiliano (Instituto de Física Interdisciplinar y Sistemas Complejos (Palma de Mallorca, Illes Balears))
Olivares, Felipe (Instituto de Física Interdisciplinar y Sistemas Complejos (Palma de Mallorca, Illes Balears))
Pulido-Valdeolivas, Irene (Universidad Autónoma de Madrid. Departamento de Anatomía, Histología y Neurociencia)
Rausell, Estrella (Universidad Autónoma de Madrid. Departamento de Anatomía, Histología y Neurociencia)
Gomez-Andres, David (Vall d'Hebron Institut de Recerca (VHIR))
Universitat Autònoma de Barcelona

Data:	2022
Resum:	Human 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.
Ajuts:	European Commission 851255
Nota:	Altres ajuts: M.Z. and F.O. acknowledges the Spanish State Research Agency through Grant MDM-2017-0711 funded by MCIN/AEI/10.13039/501100011033. Authors acknowledge support from the Escuela Universitaria de Fisioterapia de la ONCE.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Human gait ; Entropy ; Maximum Lyapunov exponent ; Multi-fractal analysis ; Irreversibility
Publicat a:	Computational and Structural Biotechnology Journal, Vol. 20 (june 2022) , p. 3257-3267, ISSN 2001-0370

DOI: 10.1016/j.csbj.2022.06.022
PMID: 35782747

11 p, 571.9 KB

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