Three-Dimensional Children Gait Pattern – Reference Data for Healthy Children Aged Between 7 and 17

Author(s):  
Katarzyna Jochymczyk-Woźniak ◽  
Katarzyna Nowakowska ◽  
Robert Michnik ◽  
Marek Gzik ◽  
Piotr Wodarski ◽  
...  
2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Slawomir Winiarski ◽  
Jadwiga Pietraszewska ◽  
Bogdan Pietraszewski

Normal gait pattern is the key component in the investigation of pathological gait patterns. In computer motion analysis there is a need to include data from participants with different somatic structures to develop a normative database or to limit the database results to a specific population. The aim of this study was to determine kinematic gait patterns for young, active women walking with low, preferred, and self-selected speeds with regard to their somatic characteristics. Laboratory-based gait analysis was performed on 1320 gait cycles taken from 20 young, active women walking with three different speeds. Comprehensive anthropometric measurements and descriptive statistics were used to describe spatiotemporal and angular variables at each walking condition. The results demonstrated some significant differences in young, active women walking between different speeds and compared to the literature. This suggests that there is a need to include data from participants with different somatic structures to develop a normative database or limit the database results to a specific population. Detailed linear and angular kinematic variables allow for proper adjustment of parameters depending on the gait speed of people with locomotion disorders.


Author(s):  
Katarzyna Jochymczyk-Woźniak ◽  
Katarzyna Nowakowska ◽  
Robert Michnik ◽  
Marek Gzik ◽  
Dominik Kowalczykowski

2007 ◽  
Vol 342-343 ◽  
pp. 581-584
Author(s):  
Byung Young Moon ◽  
Kwon Son ◽  
Jung Hong Park

Gait analysis is essential to identify accurate cause and knee condition from patients who display abnormal walking. Traditional linear tools can, however, mask the true structure of motor variability, since biomechanical data from a few strides during the gait have limitation to understanding the system. Therefore, it is necessary to propose a more precise dynamic method. The chaos analysis, a nonlinear technique, focuses on understanding how variations in the gait pattern change over time. Healthy eight subjects walked on a treadmill for 100 seconds at 60 Hz. Three dimensional walking kinematic data were obtained using two cameras and KWON3D motion analyzer. The largest Lyapunov exponent from the measured knee angular displacement time series was calculated to quantify local stability. This study quantified the variability present in time series generated from gait parameter via chaos analysis. Gait pattern is found to be chaotic. The proposed Lyapunov exponent can be used in rehabilitation and diagnosis of recoverable patients.


Author(s):  
Wei Liu ◽  
John Kovaleski ◽  
Marcus Hollis

Robotic assisted rehabilitation, taking advantage of neuroplasticity, has been shown to be helpful in regaining some degree of gait performance. Robot-applied movement along with voluntary efferent motor commands coordinated with the robot allows optimization of motion training. We present the design and characteristics of a novel foot-based 6-degree-of-freedom (DOF) robot-assisted gait training system where the limb trajectory mirrored the normal walking gait. The goal of this study was to compare robot-assisted gait to normal walking gait, where the limb moved independently without robotics. Motion analysis was used to record the three-dimensional kinematics of the right lower extremity. Walking motion data were determined and transferred to the robotic motion application software for inclusion in the robotic trials where the robot computer software was programmed to produce a gait pattern in the foot equivalent to the gait pattern recorded from the normal walking gait trial. Results demonstrated that ankle; knee and hip joint motions produced by the robot are consistent with the joint motions in walking gait. We believe that this control algorithm provides a rationale for use in future rehabilitation, targeting robot-assisted training in people with neuromuscular disabilities such as stroke.


2020 ◽  
Vol 128 (6) ◽  
pp. 1604-1616
Author(s):  
Dragoş M. Vasilescu ◽  
André B. Phillion ◽  
Daisuke Kinose ◽  
Stijn E. Verleden ◽  
Bart M. Vanaudenaerde ◽  
...  

Stereology has been the gold standard to quantify the three-dimensional lung anatomy using two-dimensional microscopy images. However, such techniques are labor intensive. This study provides a method that applies stereology to volumetric computed tomography images of frozen whole human lungs and systematic uniform random samples. The method yielded a comprehensive data set on the small airways and parenchymal lung structures, highlighting morphometric sex differences and providing a reference data set for future pathological studies.


2012 ◽  
Vol 215-216 ◽  
pp. 847-850
Author(s):  
Shou Jun Wang ◽  
Xing Xiong ◽  
Hong Jie Wang

In the condition of alternating impact ,the nut-supports subassembly is analyzed according to uncertainty of design parameters. Firstly, a three-dimensional (3-D) finite element (FE) model of the nut-supports subassembly is built and is meshed,and the constraints and loads are imposed.Secondly,the model of nut-supports was assembled using the software ANSYS to understand the stress distribution and various parts of the deformation of the nut-supports and its weak links in the harmonic forces.Finally,socket head cap screw has not enough pre-load in the condition of alternating impact and will be simplified.It is analyzed and checked whether it is cut or not; which provides the reference data for design and optimization of the wave maker.


2019 ◽  
Vol 32 (8) ◽  
pp. 1036-1045.e9 ◽  
Author(s):  
Katharina Linden ◽  
Franziska Goldschmidt ◽  
Kai Thorsten Laser ◽  
Christian Winkler ◽  
Hermann Körperich ◽  
...  

2016 ◽  
Vol 9 (6) ◽  
pp. 506-512 ◽  
Author(s):  
David Pomarino ◽  
Juliana Ramírez Llamas ◽  
Andrea Pomarino

In the literature, there have been several studies that have analyzed and explained the characteristics of physiological gait in association with pathologies; however, finding information about normal gait pattern while barefoot is difficult. This study focuses on the differences in the barefoot gait between children and adolescents. A total of 320 healthy children and adolescent were recruited and divided into groups according to age: G1 (1-6 years), G2 (7-10 years), G3 (>11 years). Data were collected using a dynamometric platform and analyzed using SPSS software. This study’s findings indicate that there are differences in the swing, stance, load, and single support phases of gait. To our knowledge, this is the first study to present the values of standardized data on barefoot gait pattern in children aged from 2 to 10 years. Levels of Evidence: Diagnostic, Level IV: Case series


Author(s):  
Heydar Sadeghi ◽  
Hesam Fazlali ◽  
Saba Sadeghi ◽  
Seyedmojtaba Seyedmojtaba Ojaghi

Background: In athletes with anterior cruciate ligament (ACL) deficiencies could assess functional capabilities with different instruments such as use of a camera in vivo situation. However, these methods have suffered from a large number of limitations such as inability to be repeatable and complexity in technique. Objective: The main purpose of this study was to compare gait pattern of the athletes with ACL injury and able-bodied subjects using an accelerometer. Method: A three-dimensional accelerometer was placed over the tibia tuberosity of 20 healthy and 20 individuals with ACL-deficiencies (ACLD). After walking on the treadmill, the principal components of the acceleration data were calculated using MATLAB software. Results: In this study, Principle Component analysis was used for statistical analysis. The results indicated that subjects with ACL deficiency have different gait pattern compared to the control group. The major differences between stride trajectories of the two groups were at the end of mid-swing and the beginning of terminal swing phases in vertical axis. ACL deficient subjects exhibited different gait patterns during mid and terminal stance phases in anterior- posterior axis compared with normal controls. Conclusions: The difference in gait between subjects with ACL deficiency and healthy subjects are depends on variation in the amount of knee flexion and tibia rotation that could be altered to motor recruitment.


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