Hodnocení kvality pohybu prostřednictvím povrchové elektromyografie a kinematických dat

Abstract

The master's thesis focuses on evaluating the quality of shoulder joint movement using a combination of surface electromyography and IMU sensors with accelerometers and gyroscopes to obtain kinematic data for real-time motion tracking. The thesis provides an anatomical description of the shoulder joint and relevant muscle structures. Additionally, it addresses frozen shoulder syndrome and analyzes movement patterns in patients with this condition. A software was developed in MATLAB version R2023b to process the collected data, enabling signal filtration and feature extraction important for assessing patients' health status. Kalman filtering was utilized for better estimation of spatial movement. The results of Friedman's ANOVA and post-hoc Wilcoxon tests indicated that properly adjusted treatment led to improvements in the range of motion in the shoulder joint and muscle activity in the affected limb of patients. The final part of the thesis presents the results of statistical analysis, compares treatment interventions, and evaluates differences in movement range. This work provides a comprehensive perspective on evaluating the quality of shoulder joint movement and offers insights into the utilization of modern technologies in rehabilitation research and therapy.