scholarly journals Three-Dimensional Human Gait Pattern: Reference Data for Young, Active Women Walking with Low, Preferred, and High Speeds

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Slawomir Winiarski ◽  
Jadwiga Pietraszewska ◽  
Bogdan Pietraszewski
Keyword(s):  
Reference Data ◽  
Three Dimensional ◽  
Gait Pattern ◽  
Human Gait ◽  
Specific Population ◽  
Gait Patterns ◽  
Normative Database ◽  
High Speeds ◽  
Normal Gait ◽  
Adjustment Of Parameters

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.

scholarly journals Gutenberg Gait Database, a ground reaction force database of level overground walking in healthy individuals

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Fabian Horst ◽  
Djordje Slijepcevic ◽  
Marvin Simak ◽  
Wolfgang I. Schöllhorn
Keyword(s):  
Ground Reaction Force ◽  
Center Of Pressure ◽  
Reaction Force ◽  
Three Dimensional ◽  
Human Gait ◽  
Healthy Individuals ◽  
Overground Walking ◽  
Gait Patterns ◽  
Specific Factors ◽  
Gait Database

AbstractThe Gutenberg Gait Database comprises data of 350 healthy individuals recorded in our laboratory over the past seven years. The database contains ground reaction force (GRF) and center of pressure (COP) data of two consecutive steps measured - by two force plates embedded in the ground - during level overground walking at self-selected walking speed. The database includes participants of varying ages, from 11 to 64 years. For each participant, up to eight gait analysis sessions were recorded, with each session comprising at least eight gait trials. The database provides unprocessed (raw) and processed (ready-to-use) data, including three-dimensional GRF and two-dimensional COP signals during the stance phase. These data records offer new possibilities for future studies on human gait, e.g., the application as a reference set for the analysis of pathological gait patterns, or for automatic classification using machine learning. In the future, the database will be expanded continuously to obtain an even larger and well-balanced database with respect to age, sex, and other gait-specific factors.

Estimates of Gastrocnemius Muscle Length During Simulated Pathological Gait

2013 ◽  
Vol 29 (2) ◽  
pp. 127-134 ◽  
Author(s):  
Smita Rao ◽  
Fred Dietz ◽  
H. John Yack
Keyword(s):  
Gastrocnemius Muscle ◽  
Muscle Length ◽  
Gait Pattern ◽  
Line Model ◽  
Gait Patterns ◽  
Segmented Model ◽  
Normal Gait ◽  
Straight Line ◽  
Crouch Gait ◽  
Pathological Gait

The purpose of this study was to compare estimates of gastrocnemius muscle length (GML) obtained using a segmented versus straight-line model in children. Kinematic data were acquired on eleven typically developing children as they walked under the following conditions: normal gait, crouch gait, equinus gait, and crouch with equinus gait. Maximum and minimum GML, and GML change were calculated using two models: straight-line and segmented. A two-way RMANOVA was used to compare GML characteristics. Results indicated that maximum GML and GML change during simulated pathological gait patterns were influenced by model used to calculate gastrocnemius muscle length (interaction: P = .004 and P = .026). Maximum GML was lower in the simulated gait patterns compared with normal gait (P < .001). Maximum GML was higher with the segmented model compared with the straight-line model (P = .030). Using either model, GML change in equinus gait and crouch with equinus gait was lower compared with normal gait (P < .001). Overall, minimum GML estimated with the segmented model was higher compared with the straight-line model (P < .01). The key findings of our study indicate that GML is significantly affected by both gait pattern and method of estimation. The GML estimates tended to be lower with the straight-line model versus the segmented model.

EXPLOITING VISUAL CUES FOR LEARNING GAIT PATTERNS ASSOCIATED WITH NEUROLOGICAL DISORDERS

2017 ◽  
Vol 79 (3) ◽  
Author(s):  
Kuhelee Roy ◽  
Geelapaturu Subrahmanya Venkata Radha Krish Rao ◽  
Savarimuthu, Margret Anouncia
Keyword(s):  
Early Diagnosis ◽  
Real Time ◽  
Neurological Disorders ◽  
Visual Cues ◽  
Gait Pattern ◽  
Shape Features ◽  
Gait Patterns ◽  
Normal Gait ◽  
Abnormal Gait ◽  
Gait Abnormalities

Records of cases involving neurological disorders often exhibit abnormalities in the gait pattern of an individual. As mentioned in various articles, the causes of various gait disorders can be attributed to neurological disorders. Hence analysis of gait abnormalities can be a key to predict the type of neurological disorders as a part of early diagnosis. A number of sensor-based measurements have aided towards quantifying the degree of abnormalities in a gait pattern. A shape oriented motion based approach has been proposed in this paper to envisage the task of classifying an abnormal gait pattern into one of the five types of gait viz. Parkinsonian, Scissor, Spastic, Steppage and Normal gait. The motion and shape features for two cases viz. right-leg-front and left-leg-front will be taken into account. Experimental results of application on real-time videos suggest the reliability of the proposed method.

scholarly journals Evaluation of Gait Pattern and Lower Extremity Kinematics of Children with Morquio Syndrome (MPS IV)

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1350
Author(s):  
Jose J. Salazar-Torres ◽  
Chris Church ◽  
Thomas Shields ◽  
M. Wade Shrader ◽  
Lydia Fisher ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Genetic Disorder ◽  
Dynamic Assessment ◽  
Three Dimensional ◽  
Gait Pattern ◽  
Valgus Knee ◽  
Gait Patterns ◽  
Anterior Pelvic Tilt ◽  
Dimensional Measurements ◽  
Morquio Syndrome

Morquio syndrome (mucopolysaccharidosis IV/MPS IV) is a genetic disorder leading to skeletal abnormalities and gait deviations. Research on the gait patterns and lower extremity physical characteristics associated with skeletal dysplasia in children with MPS IV is currently limited. This research aimed to provide baseline gait patterns and lower limb skeletal alignment of children with MPS IV utilizing three-dimensional instrumented gait analysis. This Institutional Review Board-approved retrospective study evaluates the kinematics of the lower extremities of children with MPS IV during gait, comparing them with an age-matched group of typically developing children. Thirty-three children with MPS IV were included (8.6 ± 4.0 years old). Children with MPS IV walk with increased anterior pelvic tilt, knee valgus, knee flexion, external tibial torsion, and reduced walking speed and stride length (p < 0.001). Multiplanar abnormal alignment results in abnormal knee moments (p < 0.001). Limited correlations exist (r = 0.69–0.28) between dynamic three-dimensional measurements of knee varus/valgus and rotational alignment and traditional static two-dimensional measures (physical examination or radiographs) suggesting the possibility of knee instability during gait and the benefits of dynamic assessment.

Three-Dimensional Adults Gait Pattern – Reference Data for Healthy Adults Aged Between 20 and 24

2019 ◽  
pp. 169-176 ◽  
Author(s):  
Katarzyna Jochymczyk-Woźniak ◽  
Katarzyna Nowakowska ◽  
Robert Michnik ◽  
Marek Gzik ◽  
Dominik Kowalczykowski
Keyword(s):  
Reference Data ◽  
Three Dimensional ◽  
Gait Pattern ◽  
Healthy Adults

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

2018 ◽  
pp. 589-601 ◽  
Author(s):  
Katarzyna Jochymczyk-Woźniak ◽  
Katarzyna Nowakowska ◽  
Robert Michnik ◽  
Marek Gzik ◽  
Piotr Wodarski ◽  
...  
Keyword(s):  
Reference Data ◽  
Three Dimensional ◽  
Gait Pattern ◽  
Healthy Children

scholarly journals Gait Training in Orthopedic Rehabilitation after Joint Replacement - Back to Normal Gait with Sonification?

2019 ◽  
Vol 18 (2) ◽  
pp. 34-48 ◽  
Author(s):  
J. Pietschmann ◽  
F. Geu Flores ◽  
T. Jöllenbeck
Keyword(s):  
New Technologies ◽  
Gait Training ◽  
Gait Pattern ◽  
Contralateral Side ◽  
Angle Measurement ◽  
Gait Patterns ◽  
Normal Gait ◽  
Frequent Use ◽  
Orthopedic Rehabilitation ◽  
Post Test

Abstract Even several years after total hip (THR) and total knee replacement (TKR) surgery patients frequently show deficient gait patterns leading to overloads and relieving postures on the contralateral side or in the spine. Gait training is, in these cases, an essential part of rehabilitation. The aim of this study was to compare different feedback methods during gait training after THR and TKR focusing, in particular, on auditory feedback via sonification. A total of 240 patients after THR and TKR were tested in a pre-post-test design during a 3-week rehabilitation period. Even though sonification did not show, statistically, a clear advantage over other feedback methods, it was well accepted by the patients and seemed to significantly change gait pattern during training. A sudden absence of sonification during training led to a rapid relapse into previous movement patterns, which highlights its effectiveness in breaking highly automated gait patterns. A frequent use of sonification during and after rehabilitation could, hence, reduce overloading after THR and TKR. This may soon be viable, since new technologies, such as inertial measurement units, allow for wearable joint angle measurement devices. Back to normal gait with sonification seems possible.

Nordic Walking Improves Postural Alignment and Leads to a More Normal Gait Pattern Following Weeks of Training: A Pilot Study

2016 ◽  
Vol 24 (4) ◽  
pp. 575-582 ◽  
Author(s):  
Christopher Dalton ◽  
Julie Nantel
Keyword(s):  
Power Generation ◽  
Older Adult ◽  
Gait Pattern ◽  
Normal Pattern ◽  
Nordic Walking ◽  
Gait Patterns ◽  
Healthy Older Adults ◽  
Postural Alignment ◽  
Normal Gait ◽  
The Impact

The aim of this study was to investigate the impact of an 8-week Nordic walking (NW) intervention on older adult gait patterns and postural alignment. Twelve healthy older adults aged 60–80 years (8 female, 4 male) participated, all performing two 6-min walk tests (one with poles [WP], one without poles [NP]) and six 5-m walk trials (3 WP, 3 NP) at pre- and posttesting. Gait and postural variables were compared between poling conditions (i.e., WP to NP) as well as before and following the intervention. Following training, pole use resulted in various gait changes including: longer stride, faster gait, and increased power generation at the hip (H3) and power absorption at the knee (K1 and K4). We conclude that an initial 8-week training period is necessary for novice NW to perfect technique and to restore gait to a more natural, normal pattern following training.

scholarly journals Efficiency and Stability of Step-To Gait in Slow Walking

2022 ◽  
Vol 15 ◽  
Author(s):  
Kento Hirayama ◽  
Yohei Otaka ◽  
Taichi Kurayama ◽  
Toru Takahashi ◽  
Yutaka Tomita ◽  
...  
Keyword(s):  
High Risk ◽  
Muscle Weakness ◽  
Lateral Displacement ◽  
Gait Pattern ◽  
Motor Deficit ◽  
Risk Of Falling ◽  
Gait Patterns ◽  
Normal Gait ◽  
Percent Recovery ◽  
Low Speeds

As humans, we constantly change our movement strategies to adapt to changes in physical functions and the external environment. We have to walk very slowly in situations with a high risk of falling, such as walking on slippery ice, carrying an overflowing cup of water, or muscle weakness owing to aging or motor deficit. However, previous studies have shown that a normal gait pattern at low speeds results in reduced efficiency and stability in comparison with those at a normal speed. Another possible strategy is to change the gait pattern from normal to step-to gait, in which the other foot is aligned with the first swing foot. However, the efficiency and stability of the step-to gait pattern at low speeds have not been investigated yet. Therefore, in this study, we compared the efficiency and stability of the normal and step-to gait patterns at intermediate, low, and very low speeds. Eleven healthy participants were asked to walk with a normal gait and step-to gait on a treadmill at five different speeds (i.e., 10, 20, 30, 40, and 60 m/min), ranging from very low to normal walking speed. The efficiency parameters (percent recovery and walk ratio) and stability parameters (center of mass lateral displacement) were analyzed from the motion capture data and then compared for the two gait patterns. The results suggested that step-to gait had a more efficient gait pattern at very low speeds of 10–30 m/min, with a larger percent recovery, and was more stable at 10–60 m/min in comparison with a normal gait. However, the efficiency of the normal gait was better than that of the step-to gait pattern at 60 m/min. Therefore, step-to gait is effective in improving gait efficiency and stability when faced with situations that force us to walk slowly or hinder quick walking because of muscle weakness owing to aging or motor deficit along with a high risk of falling.

Study of Rehabilitation of Injured Knee Joint Applying Chaotic Theory in Human Body Motion

2007 ◽  
Vol 342-343 ◽  
pp. 581-584
Author(s):  
Byung Young Moon ◽  
Kwon Son ◽  
Jung Hong Park
Keyword(s):  
Time Series ◽  
Lyapunov Exponent ◽  
Angular Displacement ◽  
Three Dimensional ◽  
Gait Pattern ◽  
Body Motion ◽  
Largest Lyapunov Exponent ◽  
Chaos Analysis ◽  
Nonlinear Technique ◽  
Injured Knee

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.

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