Martin Ullrich

Machine Learning and Data Analytics Lab Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Automatic clinical gait test detection from inertial sensor data (2020) Fischer S, Ullrich M, Küderle A, Gaßner H, Klucken J, Eskofier B, Kluge F Conference contribution, Conference Contribution Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies (2020) Ullrich M, Küderle A, Hannink J, Del Din S, Gaßner H, Marxreiter F, Klucken J, et al. Journal article, Original article Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies (2020) Tietsch M, Muaremi A, Clay I, Kluge F, Hoefling H, Ullrich M, Küderle A, et al. Journal article, Original article Sensor-based gait analysis distinguishes fallers from non-fallers in Parkinson's disease under clinical and real-life conditions (2019) Gladow T, Gaßner H, Ullrich M, Hannink J, Roth N, Marxreiter F, Küderle A, et al. Conference contribution Unsupervised harmonic frequency-based gait sequence detection for Parkinson’s disease (2019) Ullrich M, Hannink J, Gaßner H, Klucken J, Eskofier B, Kluge F Conference contribution, Conference Contribution Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units (2018) Zrenner M, Gradl S, Jensen U, Ullrich M, Eskofier B Journal article, Original article FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk) (2018) Ullrich M, Gladow T, Roth N, Küderle A, Ollenschläger M, Gaßner H, Winkler J, et al. Conference contribution, Abstract of lecture Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation (2018) Zrenner M, Ullrich M, Zobel P, Jensen U, Laser F, Groh B, Dümler B, Eskofier B Conference contribution, Conference Contribution Beta, gamma band, and high-frequency coherence of EMGs of vasti muscles caused by clustering of motor units (2018) von Tscharner V, Ullrich M, Mohr M, Comaduran Marquez D, Nigg BM Journal article A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns (2018) von Tscharner V, Ullrich M, Mohr M, Comaduran Marquez D, Nigg BM Journal article