Paper Info
Title
Statistical analysis of gait maturation in children based on probability density functions.
Abstract
Analysis of gait patterns in children is useful for the study of maturation of locomotor control. In this paper, we utilized the Parzen-window method to estimate the probability density functions (PDFs) of the stride interval for 50 children. With the estimated PDFs, the statistical measures, i.e., averaged stride interval (ASI), variation of stride interval (VSI), PDF skewness (SK), and PDF kurtosis (KU), were computed for the gait maturation in three age groups (aged 3-5 years, 6-8 years, and 10-14 years) of young children. The results indicated that the ASI and VSI values are significantly different between the three age groups. The VSI is decreased rapidly until 8 years of age, and then continues to be decreased at a slower rate. The SK values of the PDFs for all of the three age groups are positive, which shows a slight imbalance in the stride interval distribution within each age group. In addition, the decrease of the KU values of the PDFs is age-dependent, which suggests the effects of the musculo-skeletal growth on the gait maturation in young children.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6090476
EMBC
Keywords
Field
DocType
pdf skewness,probability density function,statistical analysis,parzen window method,variation of stride interval,averaged stride interval,gait analysis,age 10 yr to 14 yr,musculoskeletal growth,gait maturation,pdf kurtosis,locomotor control,age groups,time series analysis,handheld computer,histograms,aging,pediatrics
Age groups,Skewness,STRIDE,Gait,Computer science,Gait analysis,Statistics,Probability density function,Kurtosis,Statistical analysis
Conference
Volume
Issue
ISSN
2011
null
1557-170X
ISBN
Citations 
PageRank 
978-1-4244-4122-8
1
0.40
References 
Authors
4
4
Name
Order
Citations
PageRank
Yunfeng Wu1132.78
Zhangting Zhong2112.07
Meng Lu322.47
Jia He4106.67