Image Correlation to Predict the Gait Recovery of Patients in the Post-Surgery Period

Abstract

In the post-surgery period, patients with locomotion disorders are recovering different: from the point of view of its duration and of the independence recovery of the motion capacity. In medical recovery various investigation methods of the degree of recovery are used, such as imagistic methods (MRI, CT etc.) or visually, based on the experience of the physician. The study aim is to apply capture analysis of the patients motion in post-surgery period, in different stages of recovery of motor functions, with the possibility of achieving these gait analyses also in the diagnosis and treatment setting stages. We conducted a series of experiments on human gait cycle, using a capturing system. This method consisted in monitoring and measuring kinematic parameters of gait using AOS X-PRI the capture system, and digitization and processing of the experimental data was achieved with Adobe After Effects. The study was performed on subjects whom have attached markers which were positioned to the joints, namely: ankle joint, knee joint and the hip joint. The subjects were monitored for two months, at an interval of two weeks between each record. It has been found that the use of this method provide accurate and conclusive information regarding the subject’s recovery evolution (program). During the two months of monitoring has been found that the motor functions were improved, by gaining some control curve, of the markers used, with the same amplitude and homogeneous in terms of the mathematical function. The study emphasized the non-invasive method applied on diagnosis of recovery medicine. Also, on the basis of in-depth and extensive studies, gait patterns can be developed that can be used to diagnose various locomotion disorders.