Active clinical trials for "Gait Disorders, Neurologic"

Deterioration in walking performance as a result of disease or simply as a result of aging is a serious threat to independence in older adults. In this project, the investigators propose an innovative visual stimulus, based on advanced mathematical and biological theories, with which older adults can walk in time to improve their walking. The investigators' goal is to apply this simple, cost-effective, and novel gait rehabilitation therapy across all populations who have difficulties walking, e.g. stroke patients, fallers or those who undergo joint replacement.

Stroke are the main causes of motor disability among adults and are expected to impose an increasing social and economic burden for our Country. The impact of stroke on patients is enormous, with negative ramifications on the persons participation in social, vocational, and recreational activities. It is the primary cause of long-term disability in these countries. At the present stage, it is well known that control of balance during upright standing depends upon the central integration of afferent information from vestibular, somatosensory (proprioceptive, tactile), and visual systems, which constitute a multilink neural network for the control of neck, hip, and ankle joints. More recently, it has been studied at the level of cerebral cortex; vestibular inputs would reach face/neck representation of primary somatosensory cortex and would be then integrated with visual and somatosensory inputs in intraparietal, posterior end of the insula and medial superior temporal cortices. Remarkably, balance impairment and the associated risk of falling represent one of the most prominent and potentially disabling features in stroke subjects. The specific aims of this project are: to verify whether the robotics lower limb treatment with body weight support is more effective than the treadmill treatment in the reduction of motor impairment in Stroke patients, and to improve the quality of the gait and the endurance and to analyze possible improvements in terms of physiological biomechanical gait through analysis of spatio-temporal parameters.

Sarcopenia is quickly becoming a major global public health issue. Falls are the leading cause of mortality among the elderly, and they must be addressed. The investigators will use machine learning techniques such as empirical mode decomposition technology and decision tree algorithms to extract the characteristics and classification of sarcopenia in this retrospective study in order to offer clinically proven and effective interventional strategies to prevent, stabilize, and reverse sarcopenia.

The Timed Up and Go Test is a measurement tool that allows the participant to use assistive devices and walking aids during the test that evaluates functional mobility. This study was conducted to determine the effect of using walking aids on the Timed Up and Go test and it's correlation with balance in stroke patients.

Lower limbs of stroke patients gradually recover through Brunnstrom stages, from initial flaccid status to gradually increased spasticity, and eventually decreased spasticitiy. Throughout this process. after stroke patients can start walking, their gait will show abnormal gait patterns from healthy subjects, including circumduction gait, drop foot, hip hiking and genu recurvatum. For these abnormal gait patterns, rehabilitation methods include ankle-knee orthosis(AFO) or increasing knee/pelvic joint mobility for assistance. Prior to this study, similar research has been done to differentiate stroke gait patterns from normal gait patterns, with an accuracy of over 96%. This study recruits subject who has encountered first ever cerebrovascular incident and can currently walk independently on flat surface without assistance, and investigators record gait information via inertial measurement units strapped to their bilateral ankle, wrist and pelvis to detect acceleration and angular velocity as well as other gait parameters. The IMU used in this study consists of a 3-axis accelerometer, 3-axis gyroscope and 3-axis magnetometer, with a highest sampling rate of 128Hz. Afterwards, investigators use these gait information collected as training data and testing data for a deep neural network (DNN) model and compare clinical observation results by physicians simultaneously, in order to determine whether the DNN model is able to differentiate the types of abnormal gait patterns mentioned above. If this model is applied in the community, investigators hope it is available to early detect abnormal gait patterns and perform early intervention to decrease possibility of fallen injuries. This is a non-invasive observational study and doesn't involve medicine use. Participants are only required to perform walking for 6 minutes without assistance on a flat surface. This risk is extremely low and the only possible risk of this study is falling down during walking.

The CuePeD trial is an intervention trial measuring the effectiveness of a novel treatment for Freezing of Gait (FOG) in Parkinson's disease (PD). The primary intervention is the use of a wearable cueing device (WCD), which detects and responds to FOG and extinguishes on the resumption of normal walking. It is designed for use in PD patients with FOG, in their home environment where FOG is most severe. Kinematic data will be logged by a memory card in the belt worn device recording FOG, and falls. The device will be used on 3 different settings in a gait laboratory environment, and then for 2 weeks in the patient's own home using the same 3 settings. A battery of psychometric instruments will be administered before and after the trial

The aim of this study is to investigate the most effective stimulation site in transcranial direct current stimulation for gait recovery after stroke. All subjects will go through four conditions of transcranial direct current stimulation with for 30 minutes. Four conditions are 1) bihemispheric stimulation - anodal stimulation on both ipsilesional and contralesional leg area of primary motor cortex and supplementary motor area. 2) ipsilesional stimulation - anodal stimulation on ipsilesional leg area of primary motor cortex and supplementary motor area. 3) contralesional stimulation - anodal stimulation on contralesional leg area of primary motor cortex and supplementary motor area. 4) sham stimulation. Subjects will walk on treadmill for 10 minutes during transcranial direct current stimulation. Motor evoked potential and functional evaluations will be done before and after stimulation to measure the changes.

In this study, the investigators aimed to evaluate the effects of exercise on body weight-supported treadmill in stroke patients on gait parameters, activity, body functions and quality of life, and to determine whether it has an effect on balance when applied in addition to conventional therapy.

Despite current walking rehabilitation strategies, the majority of stroke survivors are unable to walking independently in the community and remain at increased risk of falls. Backward treadmill training is a novel training approach used by elite athletes to enhance speed, agility, and balance; however, it is currently unknown how this exercise interacts with the central nervous system or if it could benefit stroke survivors with residual walking impairment. Knowledge gained from this study will likely lead to more effective walking rehabilitation strategies in stroke and related disorders.

The purpose of this study is to determine whether the add load on non-paretic lower limb of individuals that suffer a stroke, while walking on a treadmill, is effective for restore gait symmetry of these individuals, in a subacute phase of stroke.