Analysis and Classification of Stride Patterns Associated with Children Development Using Gait Signal Dynamics Parameters and Ensemble Learning Algorithms
المؤلفون المشاركون
Wu, Meihong
Liao, Lifang
Ye, Xiaoquan
Yao, Yuchen
Chen, Pinnan
Shi, Lei
Huang, Hui
Luo, Xin
Wu, Yunfeng
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-02-29
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Measuring stride variability and dynamics in children is useful for the quantitative study of gait maturation and neuromotor development in childhood and adolescence.
In this paper, we computed the sample entropy (SampEn) and average stride interval (ASI) parameters to quantify the stride series of 50 gender-matched children participants in three age groups.
We also normalized the SampEn and ASI values by leg length and body mass for each participant, respectively.
Results show that the original and normalized SampEn values consistently decrease over the significance level of the Mann-Whitney U test ( p < 0.01 ) in children of 3–14 years old, which indicates the stride irregularity has been significantly ameliorated with the body growth.
The original and normalized ASI values are also significantly changing when comparing between any two groups of young (aged 3–5 years), middle (aged 6–8 years), and elder (aged 10–14 years) children.
Such results suggest that healthy children may better modulate their gait cadence rhythm with the development of their musculoskeletal and neurological systems.
In addition, the AdaBoost.M2 and Bagging algorithms were used to effectively distinguish the children’s gait patterns.
These ensemble learning algorithms both provided excellent gait classification results in terms of overall accuracy (≥90%), recall (≥0.8), and precision (≥0.8077).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wu, Meihong& Liao, Lifang& Luo, Xin& Ye, Xiaoquan& Yao, Yuchen& Chen, Pinnan…[et al.]. 2016. Analysis and Classification of Stride Patterns Associated with Children Development Using Gait Signal Dynamics Parameters and Ensemble Learning Algorithms. BioMed Research International،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099261
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wu, Meihong…[et al.]. Analysis and Classification of Stride Patterns Associated with Children Development Using Gait Signal Dynamics Parameters and Ensemble Learning Algorithms. BioMed Research International No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1099261
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wu, Meihong& Liao, Lifang& Luo, Xin& Ye, Xiaoquan& Yao, Yuchen& Chen, Pinnan…[et al.]. Analysis and Classification of Stride Patterns Associated with Children Development Using Gait Signal Dynamics Parameters and Ensemble Learning Algorithms. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099261
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099261
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