Gait Dynamics and Locomotor Metabolism

2009 ◽  
Author(s):  
Peter Weyand
Keyword(s):  
Gait Dynamics

A Case Study Demonstrating the Utility of Surveillance Video in Assessing Gait Dynamics and Behavior During a Slip and Fall

2020 ◽  
Vol 64 (1) ◽  
pp. 550-554
Author(s):  
Leah S. Hartman ◽  
Stephanie A. Whetsel Borzendowski ◽  
Alan O. Campbell
Keyword(s):  
Human Factors ◽  
Gait Pattern ◽  
Personal Injury ◽  
Objective Data ◽  
Surveillance Video ◽  
Gait Dynamics ◽  
Fall Incident ◽  
The Individual ◽  
And Behavior

As the use of surveillance video at commercial properties becomes more prevalent, it is more likely an incident involving a personal injury will be captured on film. This provides a unique opportunity for Human Factors practitioners involved in forensic investigations to analyze the behavior of the individual prior to, during, and after the event in question. It also provides an opportunity to gather unique and objective data. The present work describes a case study of a slip and fall where surveillance video and onsite measurements were combined and analyzed to quantify a plaintiff’s gait pattern. Using this type of analysis, we were able to determine that the plaintiff was likely aware that the floor was slippery and adjusted her gait and behavior prior to the slip and fall incident.

The gait dynamics of the modern broiler chicken: a cautionary tale of selective breeding

2013 ◽  
Vol 216 (17) ◽  
pp. 3237-3248 ◽  
Author(s):  
H. Paxton ◽  
M. A. Daley ◽  
S. A. Corr ◽  
J. R. Hutchinson
Keyword(s):  
Broiler Chicken ◽  
Selective Breeding ◽  
Cautionary Tale ◽  
Gait Dynamics

scholarly journals Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Qiang Ye ◽  
Yi Xia ◽  
Zhiming Yao
Keyword(s):  
Motor Neurons ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Pso Algorithm ◽  
Anfis Model ◽  
Inference System ◽  
Gait Dynamics ◽  
Double Support ◽  
Adaptive Capabilities ◽  
Neuro Fuzzy

A common feature that is typical of the patients with neurodegenerative (ND) disease is the impairment of motor function, which can interrupt the pathway from cerebrum to the muscle and thus cause movement disorders. For patients with amyotrophic lateral sclerosis disease (ALS), the impairment is caused by the loss of motor neurons. While for patients with Parkinson’s disease (PD) and Huntington’s disease (HD), it is related to the basal ganglia dysfunction. Previously studies have demonstrated the usage of gait analysis in characterizing the ND patients for the purpose of disease management. However, most studies focus on extracting characteristic features that can differentiate ND gait from normal gait. Few studies have demonstrated the feasibility of modelling the nonlinear gait dynamics in characterizing the ND gait. Therefore, in this study, a novel approach based on an adaptive neuro-fuzzy inference system (ANFIS) is presented for identification of the gait of patients with ND disease. The proposed ANFIS model combines neural network adaptive capabilities and the fuzzy logic qualitative approach. Gait dynamics such as stride intervals, stance intervals, and double support intervals were used as the input variables to the model. The particle swarm optimization (PSO) algorithm was utilized to learn the parameters of the ANFIS model. The performance of the system was evaluated in terms of sensitivity, specificity, and accuracy using the leave-one-out cross-validation method. The competitive classification results on a dataset of 13 ALS patients, 15 PD patients, 20 HD patients, and 16 healthy control subjects indicated the effectiveness of our approach in representing the gait characteristics of ND patients.

Effect of Age and Activity Level on Lower Extremity Gait Dynamics

2013 ◽  
Vol 27 (6) ◽  
pp. 1503-1510 ◽  
Author(s):  
Lee Cabell ◽  
David Pienkowski ◽  
Robert Shapiro ◽  
Miroslav Janura
Keyword(s):  
Lower Extremity ◽  
Activity Level ◽  
Gait Dynamics ◽  
Effect Of Age

scholarly journals The Effect of Intraspinal Micro Stimulation With Variable Stimulating Pattern in Adult Rat With Induction of Spinal Cord Injury in the Treatment of Spinal Cord Injuries

2019 ◽  
Vol 6 (3) ◽  
pp. 83-91
Author(s):  
Mohaddeseh Hedayatzadeh ◽  
Hamid Reza Kobravi ◽  
Maryam Tehranipour
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Electrical Stimulation ◽  
Spinal Cord Injuries ◽  
Animal Movement ◽  
Specific Treatment ◽  
Male Rats ◽  
Gait Dynamics ◽  
Variable Pattern ◽  
Cord Injury

Background: Spinal cord injury is one of the diseases that, no specific treatment has yet found despite the variety of works that have done in this field. Different approaches to treat such injuries have investigated today. One of them is invasive intra-spinal interventions such as electrical stimulation. Therefore, in this study, the effect of the protocol for intra-spinal variable and fixed electrical stimulation has been investigated in order to recover from spinal cord injury. Methods: In the study, 18 Wistar male rats randomly divided into Three groups, including intraspinal electrical stimulation (IES), IES with variable pattern of stimulation (VP IES) and a sham group. Animals initially subjected to induced spinal cord injury. After one week, the animal movement was recorded on the treadmill during practice using a camera and angles of the ankle joint were measured using the Tracker software. Then, the obtained data were analyzed by nonlinear evaluations in the phase space. Results: The motion analyses and kinematic analyses were carried out on all groups. According to the achieved results, the gait dynamics of the VP IES group has the most conformity to the gait dynamics of the healthy group. Also, the best quality of the balance preservation observed in the VP IES group. Conclusion: It can be concluded that the IES with variable pattern of stimulation along with exercise therapy has significant gait restorative effects and increases the range of motion in rats with induced spinal cord injury.

scholarly journals Gait Analysis after Unilateral Total Hip Replacement Surgery

2018 ◽  
Vol 21 (4) ◽  
pp. 458-466
Author(s):  
Sadiq J. Hamandi ◽  
Marwa Azzawi ◽  
Waleed Abdulwahed
Keyword(s):  
Pain Relief ◽  
Gait Analysis ◽  
Total Hip Replacement ◽  
Hip Replacement ◽  
Reaction Force ◽  
Harris Hip Score ◽  
Gait Dynamics ◽  
Total Hip ◽  
Normal Ranges ◽  
Gait Parameters

Total hip replacement (THR) is an elective surgical procedure with the primary indication being pain relief. The aim of this study is to analyze gait dynamics for patients after they underwent a unilateral THR surgery and compare it with normal parameters. To investigate the gait dynamics a gait analysis was performed on five patients after they underwent a unilateral THR surgery; only two of them were examined before the surgery. The gait analysis was performed using a digital video camera with two force plates. Kinematics data were obtained from 2D trajectories of seven passive markers using SkillSpector software. MATLAB software has been used for inverse dynamics computation. General gait parameters, Harris Hip Score, joints’ angles, forces, moments and powers were obtained during gait cycle. It was found that the average of improvement in Harris Hip Score (for four patients who were examined 1.5, 2.5, 3 and 9 months after surgery) is 61.8 points, which is an indication of pain relief. In the other hand, the general gait parameters were found slightly lower than normal after THR surgery. The average hip reaction force was found to be 2.988 N/BW, which is within normal range. Also, the average of maximum hip extension and maximum hip flexion angles were found to be 25.69 and -13.524 degree respectively, which both are within normal ranges. Furthermore, hip, knee and ankle moments and powers results showed some abnormality. Therefore as a conclusion, patient satisfaction and functional improvement are not related to general gait parameter. And it is not unusual that gait mechanics improvement would not reach normal after months of recovery. Also, the results of gait dynamics which are from the engineer’s perspective are compatible with Harris Hip Score, which is from the physician’s perspective, in quantifying surgical results and subsequent recovery progress.

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