Prof. Dr.-Ing. Bert Arnrich

Visualization and Quantification of IMU-Derived Stroke Gait Data

Master's Thesis

Lennard Ekrod, Supervisor: Lin Zhou

Stroke is a leading cause of disability and long-term health issues. One of the challenges in stroke rehabilitation is the assessment of gait or the way a person walks. In recent years, there has been a growing interest in using inertial measurement units (IMUs) to track and quantify gait data in stroke rehabilitation. IMUs are small, lightweight devices that can be attached to the body to measure movement. In this study, we explore the use of visualization and quantification of IMU-derived gait data measured at two-time points in the early rehabilitation stage of stroke patients. We aim to provide a better understanding of the changes in gait patterns and how they can be tracked and quantified using IMUs.