Publication
User-Centered Design of a Wearable Gait Analysis Tool for Knee Endoprosthesis Rehabilitation
Katharina Lorenz; Hannah Friederike Fischer; Daniela Wittmann
In: Nenad Filipovic; Jun Hu (Hrsg.). EAI Endorsed Transactions on Pervasive Health and Technology, Vol. 11, Pages 1-10, Public Knowledge Project, 2025.
Abstract
With more than 193,000 cases in Germany in 2019, total knee endoprostheses (knee-TEP) are among the 20 most common
surgeries performed on hospitalized patients [1]. A standard method for assessing post-operative mobility is the manual
measurement of range of motion using a goniometer. This method is subjective, dependent on the clinician’s experience,
and provides only a snapshot of the patient’s condition. Existing sensor-based systems for gait analysis are primarily
designed for clinical use and research contexts, and are generally not intended for independent application by patients at
home. To complement these solutions, we developed a mobile, wearable sensor system and a corresponding app that enables
self-administered gait analysis and mobility assessment for patients with knee-TEPs in both clinical and home settings. This
paper presents key insights gained from a user-centered design process employing participatory methods, highlighting
implications for the development of patient centered rehabilitation technologies.