View clinical trials related to Gait Analysis.
Filter by:The aim of our study is to investigate the effects of landscapes during gait therapy. The investigators will evaluate the impacts of restorative landscapes as they occur in urban, rural and forest environments. Older people will experience those landscapes using virtual reality (VR) goggles during their gait training. The investigators expect the landscapes to have an effect on the following three aspects: (1) stress reduction, (2) restoration of attention and (3) change in gait parameters. For this purpose, volunteers who are currently inpatient in one of our study centers and already participating in gait therapy will be assigned to a group. The control group will receive the standard therapy. The participants of the intervention groups will receive five additional VR training sessions to the standard therapy. In these sessions, the participants will walk through urban, rural and forest landscapes and perform balance improvement exercises. The five training sessions will take place within ten days. Allocation to the control or intervention groups and their landscapes is random. At the start and end of participation, tests defining stress levels and gait parameters are carried out so that comparisons can be made between before and after treatment. The goal of the study is to find out which type of landscape supports restoration and can therefore contribute to greater gait stability. The investigators expect that improved gait stability will be promoted by stress reduction and increased attention induced by the virtual environments. The investigators are investigating the consequences of repeated application of virtual landscapes and the relationship between the effect of the landscape and the preferences and habits of the study participants.
The goal of this clinical trial is to compare the function of the knee after retaining or sacrificing the anterior cruciate ligament in robotic assisted knee arthroplasty. The main questions it aims to answer are: Does retaining the anterior cruciate ligament improve postoperative gait? Participants will perform - Gait analysis - Stair performance test - CT based Micromotion analysis of the implant micromovement
The study will investigate alterations in post-surgical gait patterns among patients who have undergone all arthroscopic repair surgery for the anterior talofibular ligament (ATFL) due to ankle instability. The gait biomechanics of patients scheduled for surgery will be assessed preoperatively using pedobarographic analysis. Subsequent changes in walking biomechanics will be evaluated and interpreted at the 3rd and 6th postoperative months. Consequently, the impact of the all arthroscopic anatomical ATFL repair method on walking will be documented.
This is an observational, prospective multicentric study designed to develop medical knowledge. The aim of the study is to validate the IPAQ-SF questionnaire in a population of lower limb amputee patients. The questionnaire is administered twice to each patient, once during the consultation and again when they return home. Patients also undergo a 6-minute walk test.
İntroduction The upper limb can be involved in children with cerebral palsy (CP), while the lower limb is more commonly affected. Little is known regarding the alterations in the upper limb kinematics after the orthopedic surgery of the lower extremity during gait. This study aimed to evaluate the differences in the upper limb kinematics in children with CP between preoperative and postoperative parameters.
Consistent evidence suggests that mitochondrial dysfunction plays a crucial role in Parkinson¿s disease pathogenesis. Inhibition of complex I of the mitochondrial electron transport chain is sufficient to reproduce biochemical and pathological features of Parkinson¿s Disease in animal models (PD). Alterations of mitochondrial energy metabolism may intervene in PD pathogenesis by inducing inflammation, generation of reactive oxygen species (ROS), and neurodegeneration. The Nuclear factor erythroid 2-related factor 2 (Nrf2) is a regulator both of mitochondrial function and biogenesis, and of cellular resistance to oxidative stress, and may represent a novel target of PD disease-modifying therapies. The aims of the present study are to validate indicators of energy metabolism as biomarkers in PD patients and to evaluate the efficacy of drugs and natural food supplements acting on the Nrf2 pathway in improving motor impairment and Gait in PD patients.
A standard clinical gait analysis consists of observing walking with video (2D) or advanced equipment (VICON 3D). This 3D method provides detailed information about the gait pattern, but is time-consuming in implementation and data analysis. There are commercial 3D systems on the market that are used in healthy individuals and in sports. These so-called Inertial Measurement Units (IMUs) may also be suitable for use in the clinic. In this research protocol, the aim is to test the usability of commercial sensors and technically compare them with standard clinical 3D gait analysis in adult patients with a neurological disorder.
Gait disturbances can be observed in all age groups, and may be due to different conditions, such as advanced age, stroke, head trauma, spinal cord injury, cerebral palsy, myelomeningocele, among others. The aforementioned gait disorders are associated with an increased risk of falls (which can cause major fractures or head trauma), decreased mobility, loss of independence, cardiovascular pathology, and decreased quality of life. In order to improve a given abnormal gait pattern, an objective assessment of gait is necessary. There are several methods to carry out gait evaluations, like Instrumented Gait Analysis (High cost, time-consuming, qualified professionals needed) and the ones based on observation (limited reliability and validity). An alternative, is the use of video-based systems. SILEMA (Computer System for Gait Study Laboratories in Argentina) is a video-based low-cost gait analysis system that measures temporo-spatial (speed, step length, cadence, stance and swing times) and joint kinematic (Hip, Knee, Ankle) parameters. Its reliability has not been reported yet; thus the primary aim of this study is to determine both the "intra-evaluator" (same evaluator, different sessions) and "inter-evaluator" (same session, different evaluators) reliability.
The purpose of this study is to determine the interlaboratory reliability of 3D gait analysis performed on healthy subjects on an instrumented treadmill in three different laboratories. This will allow us to evaluate whether the pooling of control data is feasible in future studies. This will support our ambitions to enter into future collaborations to conduct studies with larger samples. Moreover, this way we will know if we can share patient data in the future so that patients can be specifically referred to a lab with expertise on a particular evaluation, e.g. the lab in Maastricht has expertise on perturbations, UZ Gent has expertise on full-body measurements and UHasselt has expertise on balance. During this study approximately 30 healthy subjects will be recruited (10 from each center) from the staff and students at each center. These subjects are own staff and students of the 3 centers. Each subject will undergo a 3D gait analysis at each center (at UZGent, UHasselt and UMaastricht). Therefore, each subject will be evaluated 3 times. The time between each evaluations will be a maximum of one week. The evaluations will be performed as per standard procedure in each lab. However, a standardized model (HBM2 lower limb), an agreed walking velocity (0.9 m/s, 1.0 m/s, 1.1 m/s) and an agreed duration per recording (3 min) will be used. The same software will be used to process the collected data. 3D kinematics and kinetic time-series data of the lower limbs will be extracted as outcome data. Absolute reliability indices will be calculated in the following way: First, the standard deviation (SD) of time-series data across different gait cycles will be calculated per participant per center. The SD values across different centers per participant will then be averaged. Finally, the SD values across different participants will form the inter-laboratory reliability indices. In addition, we will use statistical parametric mapping (Anova repeated measures) to compare the full time-series data of each outcome parameter.
Parkinson's disease (PD) is a progressive neurological disorder characterized by motor and non-motor symptoms such as rigidity, bradykinesia, resting tremor, cognitive and autonomic dysfunctions, gait and balance difficulties. The impairment of gait, balance and cognitive performances is partially responsive to dopaminergic medications. This emphasizes the importance of non-pharmacological interventions for people with PD (pwPD). Intensive multidisciplinary motor and cognitive rehabilitation has been proposed as a complementary and effective treatment for managing pwPD. Several structural and physiological mechanisms have been suggested to underpin exercise-induced neuroplastic changes in PD, such as enhanced synaptic strength and preservation of dopamine neurons. To date, studies on brain changes induced by motor and cognitive exercises in pwPD have been small-scaled and uncontrolled. Identifying accessible and measurable biomarkers for monitoring the events induced by intensive motor and cognitive rehabilitation program would help in testing the treatment effectiveness and would allow personalization of rehabilitation strategies by predicting patients' responsiveness. Based on validated clinical assessments of intensive multidisciplinary rehabilitation treatment, the project will test the ability of a new set of biomarkers to evaluate rehabilitative outcomes in a cohort of people with PD.