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Lundi : 8h-18h30
Mardi : 8h-17h30
Mercredi 9h-16h30
Jeudi : 8h30-18h30
Vendredi : 8h30-12h30 et 13h-14h30
Votre centre de documentation sera exceptionnellement fermé de 12h30 à 13h ce lundi 18 novembre.
Egalement, il sera fermé de 12h30 à 13h30 ce mercredi 20 novembre.
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Auteur Frédéric Chantraine |
Documents disponibles écrits par cet auteur
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Added Value and Clinical Significance of NonlinearVariability Indices of Walking Stride Interval inNeurodegenerative Diseases / Frédéric Dierick
Titre : Added Value and Clinical Significance of NonlinearVariability Indices of Walking Stride Interval inNeurodegenerative Diseases Type de document : document électronique Auteurs : Frédéric Dierick ; Charlotte Vandevoorde ; Frédéric Chantraine ; Olivier White ; Fabien Buisseret Année de publication : 2020 Note générale : Cet article est une prépublication.
doi: https://doi.org/10.1101/2020.01.31.20019455Langues : Anglais (eng) Résumé : Though self-paced walking is highly stereotyped, the stride interval fluctuates from one stride to the next around an average value with a measurable statistical variability. In clinical gait analysis, this variability is usually assessed with indices such the standard deviation or the coefficient of variation (CV). The aim of this study is to understand the added value that nonlinear indices of walking stride interval variability, such as Hurst exponent (H) and Minkowski fractal dimension (D), can provide in a clinical context and to suggest a clinical significance of these indices in the most common neurodegenerative diseases: Parkinson, Huntington, and amyotrophic lateral sclerosis. Although evidence have been accumulated that the stride interval organization at long range displays a more random, less autocorrelated, gait pattern in neurodegenerative diseases compared with young healthy individuals, it is today necessary to recompute CV, H, and D indices in a unified way and to take into account aging impact on these indices. In fact, computed nonlinear indices of variability are mainly dependent on stride interval time series length and algorithms used, making quantitative comparisons between different studies difficult or even impossible. Here, we recompute these indices from available stride interval time series, either coming from our lab or from online databases, or made available to us by the authors of previously conducted research. We confirm that both linear and nonlinear variability indices are relevant indicators of aging process and neurodegenerative diseases. CV is sensitive to aging process and pathology but does not allow to discriminate between specific neurodegenerative diseases. D shows no significative change in pathological groups. However, since H index is correlated with Hoehn & Yahr scores and significantly lowered in patients suffering from Huntington's disease, we recommend it as a relevant supplement to CV. En ligne : https://www.medrxiv.org/content/10.1101/2020.01.31.20019455v1.full.pdf Permalink : ./index.php?lvl=notice_display&id=84497 Added Value and Clinical Significance of NonlinearVariability Indices of Walking Stride Interval inNeurodegenerative Diseases [document électronique] / Frédéric Dierick ; Charlotte Vandevoorde ; Frédéric Chantraine ; Olivier White ; Fabien Buisseret . - 2020.
Cet article est une prépublication.
doi: https://doi.org/10.1101/2020.01.31.20019455
Langues : Anglais (eng)
Résumé : Though self-paced walking is highly stereotyped, the stride interval fluctuates from one stride to the next around an average value with a measurable statistical variability. In clinical gait analysis, this variability is usually assessed with indices such the standard deviation or the coefficient of variation (CV). The aim of this study is to understand the added value that nonlinear indices of walking stride interval variability, such as Hurst exponent (H) and Minkowski fractal dimension (D), can provide in a clinical context and to suggest a clinical significance of these indices in the most common neurodegenerative diseases: Parkinson, Huntington, and amyotrophic lateral sclerosis. Although evidence have been accumulated that the stride interval organization at long range displays a more random, less autocorrelated, gait pattern in neurodegenerative diseases compared with young healthy individuals, it is today necessary to recompute CV, H, and D indices in a unified way and to take into account aging impact on these indices. In fact, computed nonlinear indices of variability are mainly dependent on stride interval time series length and algorithms used, making quantitative comparisons between different studies difficult or even impossible. Here, we recompute these indices from available stride interval time series, either coming from our lab or from online databases, or made available to us by the authors of previously conducted research. We confirm that both linear and nonlinear variability indices are relevant indicators of aging process and neurodegenerative diseases. CV is sensitive to aging process and pathology but does not allow to discriminate between specific neurodegenerative diseases. D shows no significative change in pathological groups. However, since H index is correlated with Hoehn & Yahr scores and significantly lowered in patients suffering from Huntington's disease, we recommend it as a relevant supplement to CV. En ligne : https://www.medrxiv.org/content/10.1101/2020.01.31.20019455v1.full.pdf Permalink : ./index.php?lvl=notice_display&id=84497 Exemplaires
Cote Support Localisation Section Disponibilité aucun exemplaire Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases / Frédéric Dierick
Titre : Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases Type de document : document électronique Auteurs : Frédéric Dierick ; Frédéric Chantraine ; Charlotte Vandevoorde ; Olivier White ; Fabien Buisseret Année de publication : 2020 Langues : Français (fre) Mots-clés : marche analyse fractale pathologies neurodégénératives Résumé : Indices 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 ligne : https://luck.synhera.be/bitstream/handle/123456789/519/2020.01.31.20019455v1.ful [...] Permalink : ./index.php?lvl=notice_display&id=98162 Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases [document électronique] / Frédéric Dierick ; Frédéric Chantraine ; Charlotte Vandevoorde ; Olivier White ; Fabien Buisseret . - 2020.
Langues : Français (fre)
Mots-clés : marche analyse fractale pathologies neurodégénératives Résumé : Indices 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 ligne : https://luck.synhera.be/bitstream/handle/123456789/519/2020.01.31.20019455v1.ful [...] Permalink : ./index.php?lvl=notice_display&id=98162 Exemplaires
Cote Support Localisation Section Disponibilité aucun exemplaire Influence de la vitesse de marche sur les stratégies de stabilisation de la tête / Céline SCHREIBER in Science & motricité, 93 (2016/3)
[article]
Titre : Influence de la vitesse de marche sur les stratégies de stabilisation de la tête Type de document : texte imprimé Auteurs : Céline SCHREIBER ; Angélique REMACLE ; et al. ; Frédéric Chantraine Année de publication : 2016 Article en page(s) : p. 57-61 Langues : Anglais (eng) Mots-clés : Tête Vitesse Locomotion Résumé : En pratique clinique, il est courant de comparer les résultats d’une analyse quantifiée de la marche de patients présentant des troubles de la marche à une population asymptomatique. Cependant, les vitesses de marche sont généralement différentes et plusieurs études ont montré que cela pouvait engendrer des répercussions sur l’interprétation des paramètres cinématiques, cinétiques, spatio-temporaux et des patterns électromyographiques. Le but de cette étude était d’étudier si la vitesse de marche pouvait également avoir une influence sur les stratégies de stabilisation de la tête au cours de la marche chez une population asymptomatique. Les résultats obtenus sont cohérents avec la littérature à vitesse spontanée et suggèrent l’apparition d’une stratégie en bloc dans les plans sagittal et transversal pour des vitesses lentes. Permalink : ./index.php?lvl=notice_display&id=47745
in Science & motricité > 93 (2016/3) . - p. 57-61[article] Influence de la vitesse de marche sur les stratégies de stabilisation de la tête [texte imprimé] / Céline SCHREIBER ; Angélique REMACLE ; et al. ; Frédéric Chantraine . - 2016 . - p. 57-61.
Langues : Anglais (eng)
in Science & motricité > 93 (2016/3) . - p. 57-61
Mots-clés : Tête Vitesse Locomotion Résumé : En pratique clinique, il est courant de comparer les résultats d’une analyse quantifiée de la marche de patients présentant des troubles de la marche à une population asymptomatique. Cependant, les vitesses de marche sont généralement différentes et plusieurs études ont montré que cela pouvait engendrer des répercussions sur l’interprétation des paramètres cinématiques, cinétiques, spatio-temporaux et des patterns électromyographiques. Le but de cette étude était d’étudier si la vitesse de marche pouvait également avoir une influence sur les stratégies de stabilisation de la tête au cours de la marche chez une population asymptomatique. Les résultats obtenus sont cohérents avec la littérature à vitesse spontanée et suggèrent l’apparition d’une stratégie en bloc dans les plans sagittal et transversal pour des vitesses lentes. Permalink : ./index.php?lvl=notice_display&id=47745 Exemplaires (1)
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