PD Dr. Heiko Gaßner

Medizinische Fakultät Department of Molecular Neurology

Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning (2023) Ollenschläger M, Höfner P, Ullrich M, Kluge F, Greinwalder T, Loris E, Regensburger M, et al. Journal article The effects of an individualized smartphone-based exercise program on self-defined motor tasks in Parkinson's disease: a long-term feasibility study (2023) Lützow L, Teckenburg IB, Koch V, Marxreiter F, Jukic J, Stallforth S, Regensburger M, et al. Journal article A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment (2023) Brückner S, Weber J, Michler F, Shanin N, Schober R, Hagelauer A, Weigel R, et al. Journal article, Original article Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis (2023) Ibrahim A, Adler W, Gaßner H, Rothhammer V, Kluge F, Eskofier B Journal article Inertial sensor acquired foot elevation parameters validated by Motion capture in a cohort of patients with Hereditary Spastic Paraplegias (2023) Koch V, Jakob V, Küderle A, Ollenschläger M, Kotter K, Ibrahim A, Winkler J, et al. Journal article uTUG: An unsupervised Timed Up and Go test for Parkinson's disease (2023) da Rosa Tavares JE, Ullrich M, Roth N, Kluge F, Eskofier B, Gaßner H, Klucken J, et al. Journal article Mobile digital gait analysis objectively measures progression in hereditary spastic paraplegia (2023) Loris E, Ollenschläger M, Greinwalder T, Eskofier B, Winkler J, Gaßner H, Regensburger M Journal article Validity of an inertial sensor-based system for the assessment of spatio-temporal parameters in people with multiple sclerosis (2023) Zahn A, Koch V, Schreff L, Oschmann P, Winkler J, Gaßner H, Müller R Journal article Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. (2023) Ullrich M, Roth N, Küderle A, Richer R, Gladow T, Gaßner H, Marxreiter F, et al. Journal article Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement–the Mobilise-D study protocol (2022) Mikolaizak AS, Rochester L, Maetzler W, Sharrack B, Demeyer H, Mazzà C, Caulfield B, et al. Journal article