Interobserver reliability in the interpretation of three‐dimensional gait analysis in children with gait disorders

2018 ◽  
Vol 61 (6) ◽  
pp. 710-716 ◽  
Author(s):  
Kemble K Wang ◽  
Jean L Stout ◽  
Andrew J Ries ◽  
Tom F Novacheck
Keyword(s):  
Gait Analysis ◽  
Interobserver Reliability ◽  
Three Dimensional ◽  
Gait Disorders

scholarly journals Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 789
Author(s):  
David Kreuzer ◽  
Michael Munz
Keyword(s):  
Gait Analysis ◽  
Time Series Data ◽  
Low Cost ◽  
Analysis Data ◽  
Gait Disorders ◽  
Human Gait ◽  
Series Data ◽  
Ageing Society ◽  
Time Motion ◽  
Gait Phase

With an ageing society comes the increased prevalence of gait disorders. The restriction of mobility leads to a considerable reduction in the quality of life, because associated falls increase morbidity and mortality. Consideration of gait analysis data often alters surgical recommendations. For that reason, the early and systematic diagnostic treatment of gait disorders can spare a lot of suffering. As modern gait analysis systems are, in most cases, still very costly, many patients are not privileged enough to have access to comparable therapies. Low-cost systems such as inertial measurement units (IMUs) still pose major challenges, but offer possibilities for automatic real-time motion analysis. In this paper, we present a new approach to reliably detect human gait phases, using IMUs and machine learning methods. This approach should form the foundation of a new medical device to be used for gait analysis. A model is presented combining deep 2D-convolutional and LSTM networks to perform a classification task; it predicts the current gait phase with an accuracy of over 92% on an unseen subject, differentiating between five different phases. In the course of the paper, different approaches to optimize the performance of the model are presented and evaluated.

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

The interobserver reliability and validity of volume calculation from three-dimensional ultrasound datasets in the in vitro setting

2003 ◽  
Vol 21 (3) ◽  
pp. 283-291 ◽  
Author(s):  
N. J. Raine-Fenning ◽  
J. S. Clewes ◽  
N. R. Kendall ◽  
A. K. Bunkheila ◽  
B. K. Campbell ◽  
...  
Keyword(s):  
Interobserver Reliability ◽  
Three Dimensional ◽  
Reliability And Validity ◽  
Volume Calculation

scholarly journals Accuracy of digital dental models and three-dimensional printed dental models in linear measurements and Bolton analysis

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 180
Author(s):  
William Suryajaya ◽  
Maria Purbiati ◽  
Nada Ismah
Keyword(s):  
Treatment Planning ◽  
Interobserver Reliability ◽  
Intraclass Correlation ◽  
Three Dimensional ◽  
3D Printer ◽  
Intraoral Scanner ◽  
Linear Measurements ◽  
Dental Model ◽  
Dental Models ◽  
Digital Dental Models

Background: Due to advances in digital technology, it is possible to obtain digital dental models through intraoral scanning. The stereolithographic data collected from the scanner can subsequently be printed into a three-dimensional dental model in resinic material. However, the accuracy between digital dental models and printed dental models needs to be evaluated since it might affect diagnosis and treatment planning in orthodontic treatment. This study aimed to evaluate the accuracy of digital models scanned by a Trios intraoral scanner and three-dimensional dental models printed using a Formlabs 2 3D printer in linear measurements and Bolton analysis. Methods: A total of 35 subjects were included in this study. All subjects were scanned using a Trios intraoral scanner to obtain digital study models. Stereolithographic data from previous scanning was printed using a Formlabs 2 3D printer to obtain printed study models. Mesiodistal, intercanine, intermolar, and Bolton analysis from all types of study models were measured. The intraclass correlation coefficient was used to assess intraobserver and interobserver reliability. All data were then statistically analyzed. Results: The reliability tests were high for both intraobserver and interobserver reliability, which demonstrates high reproducibility for all measurements on all model types. Most of the data compared between study models showed no statistically significant differences, though some data differed significantly. However, the differences are considered clinically insignificant. Conclusion: Digital dental models and three-dimensional printed dental models may be used interchangeably with plaster dental models for diagnostic and treatment planning purposes. Keywords: Accuracy, 3D printing, digital dental model, printed dental model.

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