ReviewComputational and structural biotechnology journal2022
Gait analysis under the lens of statistical physics.
Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Application of a spatiotemporal distribution-based multidimensional gait feature algorithm in KOA gait assessment.Medical & biological engineering & computing · 2026Article
- Chronic neck pain is associated with altered gait performance compared to healthy controls: Cross-sectional observations.Gait & posture · 2026Observational
- Entropy, Irreversibility, and Time-Series Deep Learning of Kinematic and Kinetic Data for Gait Classification in Children with Cerebral Palsy, Idiopathic Toe Walking, and Hereditary Spastic Paraplegia.Sensors (Basel, Switzerland) · 2025Article
- Gait stability prediction through synthetic time-series and vision-based data.Frontiers in sports and active living · 2025Article
- Application of multidimensional gait feature fusion algorithm in gait assessment for patients with knee osteoarthritis.Frontiers in bioengineering and biotechnology · 2025Article
- Local Dynamic Stability of Trunk During Gait is Responsive to Rehabilitation in Subjects with Primary Degenerative Cerebellar Ataxia.Cerebellum (London, England) · 2024Article
- Fractals in Neuropsychology and Cognitive Neuroscience.Advances in neurobiology · 2024Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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