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Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases

dc.rights.licenseCC6en_US
dc.contributor.authorDIERICK, Frédéric
dc.contributor.authorChantraine, Frédéric
dc.contributor.authorVandevoorde, Charlotte
dc.contributor.authorWhite, Olivier
dc.contributor.authorBUISSERET, Fabien
dc.date.accessioned2021-01-04T13:55:56Z
dc.date.available2021-01-04T13:55:56Z
dc.date.issued2020-12-12
dc.identifier.urihttps://luck.synhera.be/handle/123456789/519
dc.identifier.doidoi.org/10.1016/j.humov.2020.102741en_US
dc.description.abstractIndices characterising the long-range temporal structure of walking stride interval (SI) variability such as Hurst exponent (H) and fractal dimension (D) may be used in addition to indices measuring the amount of variability like the coefficient of variation (CV). We assess the added value of the former indices in a clinical neurological context. Our aim is to demonstrate that they provide a clinical significance in aging and in frequent neurodegenerative diseases such as Parkinson's disease, Huntington, and amyotrophic lateral sclerosis. Indices assessing the temporal structure of variability are mainly dependent on SI time series length and algorithms used, making quantitative comparisons between different studies difficult or even impossible. Here, we recompute these indices from available SI time series, either from our lab or from online databases. More precisely, we recompute CV, H, and D in a unified way. The average SI is also added to the measured parameters. We confirm that variability indices are relevant indicators of aging process and neurodegenerative diseases. While CV is sensitive to aging process and pathology, it does not discriminate between specific neurodegenerative diseases. H, which measures predictability of SI, significantly decreases with age but increases in patients suffering from amyotrophic lateral sclerosis. D, catching complexity of SI, is correlated with total functional capacity in patients with Huntington's disease. We conclude that the computation of H complements the clinical diagnosis of walking in patients with neurodegenerative diseases and we recommend it as a relevant supplement to classical CV or averaged SI. Since H and D indices did not lead to the same observations, suggesting the multi-fractal nature of SI dynamics, we recommend to open clinical gait analysis to the evaluation of more parameters.en_US
dc.description.sponsorshipNoneen_US
dc.language.isoENen_US
dc.publisherElsevieren_US
dc.relation.ispartofHuman Movement Scienceen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/be/en_US
dc.subjectMarcheen_US
dc.subjectAnalyse fractaleen_US
dc.subjectPathologies neurodégénérativesen_US
dc.titleBenefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseasesen_US
dc.typeArticle scientifiqueen_US
synhera.classificationSciences du vivanten_US
synhera.institutionHE Louvain en Hainauten_US
synhera.otherinstitutionUMONSen_US
synhera.otherinstitutionRehazenteren_US
synhera.otherinstitutionCeREFen_US
synhera.otherinstitutionUniversité de Bourgogneen_US
synhera.cost.total0en_US
synhera.cost.apc0en_US
synhera.cost.comp0en_US
synhera.cost.acccomp0en_US
dc.description.versionOuien_US
dc.rights.holderElsevieren_US


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