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Assessment of Local Dynamic Stability in Gait Based on Univariate and Multivariate Time Series
المؤلفون المشاركون
Josiński, Henryk
Michalczuk, Agnieszka
Świtoński, Adam
Grabiec, Piotr
Pawlyta, Magdalena
Wojciechowski, Konrad
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-25
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The ability of the locomotor system to maintain continuous walking despite very small external or internal disturbances is called local dynamic stability (LDS).
The importance of the LDS requires constantly working on different aspects of its assessment method which is based on the short-term largest Lyapunov exponent (LLE).
A state space structure is a vital aspect of the LDS assessment because the algorithm of the LLE computation for experimental data requires a reconstruction of a state space trajectory.
The gait kinematic data are usually one- or three-dimensional, which enables to construct a state space based on a uni- or multivariate time series.
Furthermore, two variants of the short-term LLE are present in the literature which differ in length of a time span, over which the short-term LLE is computed.
Both a state space structure and the consistency of the observations based on values of both short-term LLE variants were analyzed using time series representing the joint angles at ankle, knee, and hip joints.
The short-term LLE was computed for individual joints in three state spaces constructed on the basis of either univariate or multivariate time series.
Each state space revealed walkers’ locally unstable behavior as well as its attenuation in the current stride.
The corresponding conclusions made on the basis of both short-term LLE variants were consistent in ca.
59% of cases determined by a joint and a state space.
Moreover, the authors present an algorithm for estimation of the embedding dimension in the case of a multivariate gait time series.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Josiński, Henryk& Świtoński, Adam& Michalczuk, Agnieszka& Grabiec, Piotr& Pawlyta, Magdalena& Wojciechowski, Konrad. 2019. Assessment of Local Dynamic Stability in Gait Based on Univariate and Multivariate Time Series. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1130664
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Josiński, Henryk…[et al.]. Assessment of Local Dynamic Stability in Gait Based on Univariate and Multivariate Time Series. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1130664
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Josiński, Henryk& Świtoński, Adam& Michalczuk, Agnieszka& Grabiec, Piotr& Pawlyta, Magdalena& Wojciechowski, Konrad. Assessment of Local Dynamic Stability in Gait Based on Univariate and Multivariate Time Series. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1130664
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130664
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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