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.

CHILDREN WITH CEREBRAL PALSY USING A TRI-AXIAL ACCELEROMETER

2020 ◽  
Vol 18 (4) ◽  
pp. 465-476
Author(s):  
Zmnako Jamal Amen ◽  
Omer Ali Rafiq Barawi ◽  
Shirwan Hamasalh Omer
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Muscle Tone ◽  
Service Planning ◽  
Motor Dysfunction ◽  
Walking Ability ◽  
Clinical Utilization ◽  
Gait Parameters ◽  
Children With Cerebral Palsy ◽  
Analysis System

Worldwide children’s walking disabilities that are caused mainly by cerebral palsy display multiple conditions of both permanent and non-developing motor dysfunction that in turn upsets posture, mobility, or muscle tone in general. In order to estimate the influence of instrumented gait analysis on the walking ability in cerebral palsied children the Dynaport Minimod, based on a triaxial accelerometer was employed. A Dynaport Minimod was used for collecting the spatial and temporal gait data. An evaluation of the gait data carried out via online services application for 80 children with cerebral palsies from April 1 st , 2018 to October 30 th , 2019. The Dynaport Minimod is capable of capturing most of the spatiotemporal gait parameters which indicate that this technique is quite cooperative and objective in the detection of gait changes and the evaluation of consequences, respectively. The most useful practice for the managing of children with cerebral palsy is a gait analysis system in which its clinical utilization is considered to be a developing technology especially in providing guidance to service planning centres and hospitals.

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

Validation of wearable inertial sensor-based gait analysis system for measurement of spatiotemporal parameters and lower extremity joint kinematics in sagittal plane

2022 ◽  
pp. 095441192110729
Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Motion Capture ◽  
Inertial Sensor ◽  
Joint Kinematics ◽  
Percentage Error ◽  
Motion Capture System ◽  
Spatiotemporal Parameters ◽  
Analysis System ◽  
Motion Capture Systems

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.

Combining motion analysis and ultrasound to analyse muscles in children with cerebral palsy

2015 ◽  
Vol 42 ◽  
pp. S2-S3
Author(s):  
Francesco Cenni ◽  
Davide Monari ◽  
Simon-Henri Schless ◽  
Lynn Bar-On ◽  
Herman Bruyninckx ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Motion Analysis ◽  
Children With Cerebral Palsy

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
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