1983
DOI: 10.1002/sim.4780020306
|View full text |Cite
|
Sign up to set email alerts
|

Statistical analysis of gait patterns of persons with cerebral palsy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
20
0

Year Published

1987
1987
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 41 publications
(20 citation statements)
references
References 8 publications
0
20
0
Order By: Relevance
“…Through the use of the Baseline and Rocker conditions, each participant functioned as both a test subject and his or her own matched control. Angular joint data from multiple trials within each gait session were combined and then summarized by using Fourier series (Wong, et al, 1983;Fisher, et al, 1993;Klein, 1997) to model the gait pattern in each anatomical plane. The technical details of this analysis procedure have been described previously (Myers, et al, 2005).…”
Section: Methodsmentioning
confidence: 99%
“…Through the use of the Baseline and Rocker conditions, each participant functioned as both a test subject and his or her own matched control. Angular joint data from multiple trials within each gait session were combined and then summarized by using Fourier series (Wong, et al, 1983;Fisher, et al, 1993;Klein, 1997) to model the gait pattern in each anatomical plane. The technical details of this analysis procedure have been described previously (Myers, et al, 2005).…”
Section: Methodsmentioning
confidence: 99%
“…These include: Fourier series, cluster analysis, neural network classifiers and principal component analysis (PCA) [14][15][16][17][18][19]. A technique such as PCA uses the entire waveform in its analysis and may provide better information regarding the quantitative and temporal differences between groups [14,20,21].…”
Section: Introductionmentioning
confidence: 99%
“…Waveform classifiers attempt to capture the entire gait curve. Such methods may include Fourier analysis [7,8], bootstrap methods [8,9], principal components analysis [10][11][12], and neural network and pattern recognition techniques [13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%