scholarly journals Gait analysis is a viable tool for the assessment of transverse plane motion in children with cerebral palsy

2013 ◽  
Vol 55 (10) ◽  
pp. 878-879 ◽  
Author(s):  
Sylvia Õunpuu
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Plane Motion ◽  
Transverse Plane ◽  
Children With Cerebral Palsy

Instrumented gait analysis for management of gait disorders in children with cerebral palsy: A scoping review

2021 ◽  
Vol 90 ◽  
pp. 1-8
Author(s):  
Rebecca A. States ◽  
Joseph J. Krzak ◽  
Yasser Salem ◽  
Ellen M. Godwin ◽  
Amy Winter Bodkin ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Scoping Review ◽  
Gait Disorders ◽  
Children With Cerebral Palsy ◽  
Instrumented Gait Analysis

A wearable gait analysis protocol to support the choice of the appropriate ankle-foot orthosis: A comparative assessment in children with Cerebral Palsy

2019 ◽  
Vol 70 ◽  
pp. 177-185 ◽  
Author(s):  
Bruno Giuseppe Contini ◽  
Elena Bergamini ◽  
Martina Alvini ◽  
Eugenio Di Stanislao ◽  
Giuseppe Di Rosa ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Comparative Assessment ◽  
Ankle Foot Orthosis ◽  
Children With Cerebral Palsy ◽  
Foot Orthosis ◽  
Analysis Protocol

scholarly journals The Human Body Model versus conventional gait models for kinematic gait analysis in children with cerebral palsy

2020 ◽  
Vol 70 ◽  
pp. 102585
Author(s):  
E. Flux ◽  
M.M. van der Krogt ◽  
P. Cappa ◽  
M. Petrarca ◽  
K. Desloovere ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Human Body ◽  
Human Body Model ◽  
Body Model ◽  
Children With Cerebral Palsy ◽  
Model Versus ◽  
Kinematic Gait Analysis

scholarly journals The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1660 ◽  
Author(s):  
Yunru Ma ◽  
Kumar Mithraratne ◽  
Nichola Wilson ◽  
Xiangbin Wang ◽  
Ye Ma ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Motion Analysis ◽  
Poor Correlation ◽  
Analysis Tool ◽  
Calibration Methods ◽  
Pattern Similarity ◽  
Children With Cerebral Palsy ◽  
Analysis System ◽  
Mean Square Errors

The aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool for children with cerebral palsy (CP), and whether linear regression and long short-term memory (LSTM) recurrent neural network methods can improve its performance. A gait analysis was conducted on ten children with CP, on two occasions. Lower limb joint kinematics computed from the Kinect and a traditional marker-based Motion Analysis system were investigated by calculating the root mean square errors (RMSE), the coefficients of multiple correlation (CMC), and the intra-class correlation coefficients (ICC2,k). Results showed that the Kinect-based kinematics had an overall modest to poor correlation (CMC—less than 0.001 to 0.70) and an angle pattern similarity with Motion Analysis. After the calibration, RMSE on every degree of freedom decreased. The two calibration methods indicated similar levels of improvement in hip sagittal (CMC—0.81 ± 0.10 vs. 0.75 ± 0.22)/frontal (CMC—0.41 ± 0.35 vs. 0.42 ± 0.37) and knee sagittal kinematics (CMC—0.85±0.07 vs. 0.87 ± 0.12). The hip sagittal (CMC—0.97±0.05) and knee sagittal (CMC—0.88 ± 0.12) angle patterns showed a very good agreement over two days. Modest to excellent reliability (ICC2,k—0.45 to 0.93) for most parameters renders it feasible for observing ongoing changes in gait kinematics.

Sign in / Sign up

Export Citation Format

Share Document