Effects of robotic gait rehabilitation on biomechanical parameters in the chronic hemiplegic patients
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Gait training
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Through the establishment of corresponding relationship between RSA kinematic parameters of gait analysis and kinematic parameters of skin markers using this corresponding relation solve RSA could not be obtained in patients with gait analysis movements under conditions of prosthesis and bone kinematics parameters,but also solve the problem of big error of the gait analysis of skin markers.
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Hip osteoarthritis (OA), or the degeneration of cartilage in the hip joint, is a common and chronic condition that is growing in prevalence around the world. OA typically causes significant joint pain, lack of mobility, and abnormal gait patterns in affected individuals. Total hip arthroplasty (THA) is used to treat OA, and of the many postoperative methods of assessing success of the procedure, one that is particularly useful is gait analysis. Gait analysis provides a quantitative view of patient gait biomechanics by examining many relevant gait parameters and is very useful to evaluate sequelae following THA. The present paper synthesizes the recent literature surrounding post-THA gait analysis to gain a deeper understanding of how gait analysis may be used to improve THA and its corresponding patient outcomes.
Biomechanics
Hip pain
Gait cycle
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Spastic cerebral palsy
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Three-dimensional gait analysis is a systematic measurement, description, and assessment of human gait. Gait analysis is established as a useful diagnostic tool in patients with gait problems, as it is not possible to obtain an adequate and detailed understanding of such a complex mechanism as gait in a conventional clinical examination. The method has provided a better understanding of both normal gait and abnormal gait patterns; it is a suitable instrument for evaluation of treatment results as well as for scientific work. The first gait laboratory for clinical use in Norway was established in 2002 in the Section for child neurology at Rikshospitalet University Hospital in Oslo, Norway. In this article the procedure for gait analysis is described and the clinical value is indicated by a case record of a child with cerebral palsy. Gait analysis has entailed a change of policy with regard to surgical treatment in this patient group. Previously, operative intervention at a single level was usual, whereas current practice involves simultaneous interventions at several levels of both lower extremities. After three years' experience we recommend gait analysis in routine diagnostics, particularly as a preoperative evaluation, in all children with gait problems and in the follow up after surgery or other treatment.
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Purpose of review The literature was reviewed to describe the role of gait analysis in the orthopaedic management of ambulatory children with cerebral palsy and examine the current best evidence to support these roles. Recent findings Gait laboratory analysis is superior to visual or observational analysis of gait because it provides an objective record of gait that is able to quantify the magnitude of deviations of pathologic gait from normal and also explain these abnormalities. Recognizable gait patterns can be classified and used for making treatment decisions, the effectiveness of which can be assessed using gait analysis as a measure of gait outcomes. There are many sources of variability, however, including patients themselves, the gait laboratories and testing processes, interpretation of data and surgeons' surgical recommendations. Summary Although gait analysis has been shown to alter decision making, there is little evidence that the decisions based on gait analysis lead to better outcomes. Consequently, clinical gait analysis remains controversial, with wide variation in the rates of utilization of gait analysis in the management of children with ambulatory cerebral palsy. The time is ripe for clinical trials and cohort studies to provide the evidence to establish the appropriate utilization of this technology.
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The system proposes an economical kinematic gait analysis by using image processing in MATLAB. Firstly, few second walking gait videos are taken by placing markers on the joints of the person. These markers are detected by using intensity thresholding technique in image processing. Detected markers are used to generate the stick figure. From the stick figure kinematic angles of knee and ankle joint are measured. This system is applied on five normal adults (average 24 year age). The accuracy of the proposed system is checked by comparing these kinematic data with clinical gait analysis normative database. The temporal parameters of kinematic gait analysis are also studied by observation.
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Gait Disturbance
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