background: subjects with knee osteoarthritis typically have higher knee adduction moment. current research efforts are mainly focused on therapeutic procedures that potentially may modify disease progression. this preliminary study was designed as a single blind (examiner) randomized control trial to investigate the impact of conventional physical therapy on pain, and knee joint load in subjec...

We study the problem of analyzing and classifying frontal view gait video data. In this study, we suppose that frontal view gait data as a mixing of scale changing, human movements and speed changing parameters. We estimate these parameters using the statistical registration and modeling on a video data. Our gait model is based on human gait structure and temporal-spatial relations between came...

Rehabilitation is essential for treatment of Parkinson's disease. New rehabilitation therapy is updated, in addition to evidence shown with "Parkinson's disease treatment guidelines 2011". Furthermore, a portable gait rhythmogram (acceleration sensor) is presented (not publication). Parkinsonian gait was significantly slow and the steps were small, but the cadence was not different compared as ...

This paper aims for analyzing gait to investigate feature values related to gait transformation using 3D(Dimensional) human data in order to conceal a personal identification. Biometric data including fingerprint, iris, vein, and gait etc., are distinctive characteristics that certificate individuals. Gait is useful even if it is taken from faraway place. A Kinect is used to obtain gait data. 3...

We study the problem of analyzing and classifying frontal view gait video data. In this study, we suppose that frontal view gait data as a mixing of scale changing, human movements and speed changing parameters. We estimate these parameters using the statistical registration and modeling on a video data. Our gait model is based on human gait structure and temporal-spatial relations between came...

Cerebellar ataxic gait is characterized by unsteady movements and variable gait patterns. Previous studies have successfully identified pathological changes of balance-related gait parameters. However, it has been difficult to demonstrate deficits of joint coordination and the control of limb dynamics. This has motivated the hypothesis that cerebellar ataxic gait might be affected predominantly...

BACKGROUND Previous literature demonstrates the interest of gait analysis to predict cognitive decline in old people. AIMS This pilot study aims to determine if gait speed or gait variability is a marker able to early identify, among mild cognitive impairment (MCI) subjects, those at risk to develop Alzheimer's disease (AD) in the future. METHODS 13 MCI subjects were included in 2007. Their...

BACKGROUND Gait-related fall risk is the leading cause of mortality among patients with diabetes, especially those older than 65 years. Deterioration in balance and loss of protective sensation in lower extremities contribute significantly to fall risk in patients with diabetic peripheral neuropathy (DPN). This study aimed to explore the impact of neuropathy and foot ulcer on gait. METHODS We...

Gait recognition provides the opportunity to identify different walking styles of people without physical intervention. However, covariates such as changing clothes and carrying conditions may influence accuracy. Our objective was patterns for through analyzing images from publicly available data set CASIA-B on gait. On dataset, proposed method evaluated by using GEI (gait energy image) inputs ...

Walking is a complex motor task generally performed automatically by healthy adults. Yet, by the elderly, walking is often no longer performed automatically. Older adults require more attention for motor control while walking than younger adults. Falls, often with serious consequences, can be the result. Gait impairments are one of the biggest risk factors for falls. Several studies have identi...