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eess.SP2025
Analytical and Cross-Sectional Clinical Validity of a Smartphone-Based U-Turn Test in Multiple Sclerosis
Marta Płonka, Rafał Klimas, Dimitar Stanev +12
Background: Gait and balance impairment can profoundly impact people with multiple sclerosis (PwMS). Objectives: To evaluate the analytical and clinical validity of the U-Turn Test…
eess.SP2025
Adaptive and robust smartphone-based step detection in multiple sclerosis
Lorenza Angelini, Dimitar Stanev, Marta Płonka +12
Background: Many attempts to validate gait pipelines that process sensor data to detect gait events have focused on the detection of initial contacts only in supervised settings us…
cs.LG2025
Human Activity Recognition from Smartphone Sensor Data for Clinical Trials
Stefania Russo, Rafał Klimas, Marta Płonka +6
We developed a ResNet-based human activity recognition (HAR) model with minimal overhead to detect gait versus non-gait activities and everyday activities (walking, running, stairs…