Joint-level kinematic patterns during walking with wearable sensors - study data

Purpose: After stroke, walking is characterized by hemiparetic patterns, quantified with force sensitive walkways and motion capture systems. Some joint-level kinematic patterns of walking also can be obtained with wearable sensors. The purpose of this project was to measure joint-level kinematic patterns during walking with wearable sensors and determine the association with walking speed and endurance in individuals with chronic stroke. Methods: In this cross-sectional observational study, participants donned APDM Opal wearable sensors during walking tests (10-meter walk test or 6-minute walk test). We extracted joint-level kinematic variables of elevation at midswing, circumduction, foot strike angle, and toe off angle. Associations of each variable with walking speed and endurance were tested, and significantly associated variables were entered into a regression model. Results: 68 individuals with chronic stroke were included. We found that the less affected foot strike angle, less affected toe off angle, and more affected toe off angle were significant predictors of walking speed (R2≥0.71, pData related to publication: Cleland, B.T., Kim, M. & Madhavan, S. The Relation Between Hemiparetic Gait Patterns and Walking Function After Stroke, as Measured with Wearable Sensors. Ann Biomed Eng (2025). https://doi.org/10.1007/s10439-025-03754-7