The Novel Quantitative Technique for Assessment of Gait Symmetry Using Advanced Statistical Learning Algorithm
المؤلفون المشاركون
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-02-02
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
The accurate identification of gait asymmetry is very beneficial to the assessment of at-risk gait in the clinical applications.
This paper investigated the application of classification method based on statistical learning algorithm to quantify gait symmetry based on the assumption that the degree of intrinsic change in dynamical system of gait is associated with the different statistical distributions between gait variables from left-right side of lower limbs; that is, the discrimination of small difference of similarity between lower limbs is considered the reorganization of their different probability distribution.
The kinetic gait data of 60 participants were recorded using a strain gauge force platform during normal walking.
The classification method is designed based on advanced statistical learning algorithm such as support vector machine algorithm for binary classification and is adopted to quantitatively evaluate gait symmetry.
The experiment results showed that the proposed method could capture more intrinsic dynamic information hidden in gait variables and recognize the right-left gait patterns with superior generalization performance.
Moreover, our proposed techniques could identify the small significant difference between lower limbs when compared to the traditional symmetry index method for gait.
The proposed algorithm would become an effective tool for early identification of the elderly gait asymmetry in the clinical diagnosis.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wu, Jianning& Wu, Bin. 2015. The Novel Quantitative Technique for Assessment of Gait Symmetry Using Advanced Statistical Learning Algorithm. BioMed Research International،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1055835
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wu, Jianning& Wu, Bin. The Novel Quantitative Technique for Assessment of Gait Symmetry Using Advanced Statistical Learning Algorithm. BioMed Research International No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1055835
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wu, Jianning& Wu, Bin. The Novel Quantitative Technique for Assessment of Gait Symmetry Using Advanced Statistical Learning Algorithm. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1055835
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1055835
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر