Martin Ullrich
Martin Ullrich
PhD Student, Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg
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Citata da
Citata da
Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units
M Zrenner, S Gradl, U Jensen, M Ullrich, B Eskofier
Sensors 18 (12), 4194, 2018
A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns
V von Tscharner, M Ullrich, M Mohr, D Comaduran Marquez, BM Nigg
PloS one 13 (4), e0195125, 2018
Beta, gamma band, and high-frequency coherence of EMGs of vasti muscles caused by clustering of motor units
V von Tscharner, M Ullrich, M Mohr, DC Marquez, BM Nigg
Experimental brain research 236 (11), 3065-3075, 2018
Detection of gait from continuous inertial sensor data using harmonic frequencies
M Ullrich, A Kuederle, J Hannink, S Del Din, H Gassner, F Marxreiter, ...
IEEE Journal of Biomedical and Health Informatics, 2020
Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation
M Zrenner, M Ullrich, P Zobel, U Jensen, F Laser, BH Groh, B Duemler, ...
2018 IEEE 15th International Conference on Wearable and Implantable Body …, 2018
Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease
M Ullrich, J Hannink, H Gaßner, J Klucken, BM Eskofier, F Kluge
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies
M Tietsch, A Muaremi, I Clay, F Kluge, H Hoefling, M Ullrich, A Küderle, ...
Digital Biomarkers 4 (1), 50-58, 2020
Hidden Markov Model based Stride Segmentation on Unsupervised Free-living Gait Data in Parkinson’s Disease Patients
N Roth, A Küderle, M Ullrich, T Gladow, F Marxreiter, J Klucken, ...
Automatic clinical gait test detection from inertial sensor data
S Fischer, M Ullrich, A Küderle, H Gaßner, J Klucken, BM Eskofier, ...
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
Consensus based framework for digital mobility monitoring
F Kluge, S Del Din, A Cereatti, H Gassner, C Hansen, JL Helbostadt, ...
medRxiv, 2020
Sensor-based gait analysis distinguishes fallers from non-fallers in Parkinson's disease under clinical and real-life conditions
T Gladow, H Gassner, M Ullrich, J Hannink, N Roth, F Marxreiter, ...
Matthias Tietsch
F Kluge, M Ullrich
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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