Arne Küderle
Arne Küderle
PhD Student, Machine Learning and Data Analytics Lab, FAU Erlangen
Verified email at - Homepage
Cited by
Cited by
Federated learning for healthcare: Systematic review and architecture proposal
RS Antunes, C André da Costa, A Küderle, IA Yari, B Eskofier
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-23, 2022
Technical validation of real-world monitoring of gait: a multicentric observational study
C Mazzà, L Alcock, K Aminian, C Becker, S Bertuletti, T Bonci, P Brown, ...
BMJ open 11 (12), e050785, 2021
Depth-selective photothermal IR spectroscopy of skin: potential application for non-invasive glucose measurement
O Hertzberg, A Bauer, A Küderle, MA Pleitez, W Mäntele
Analyst 142 (3), 495-502, 2017
Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis
AA Ibrahim, A Küderle, H Gaßner, J Klucken, BM Eskofier, F Kluge
Journal of neuroengineering and rehabilitation 17, 1-9, 2020
Validation of a sensor-based gait analysis system with a gold-standard motion capture system in patients with Parkinson’s disease
V Jakob, A Küderle, F Kluge, J Klucken, BM Eskofier, J Winkler, ...
Sensors 21 (22), 7680, 2021
Apkinson: the smartphone application for telemonitoring Parkinson’s patients through speech, gait and hands movement
JR Orozco-Arroyave, JC Vásquez-Correa, P Klumpp, PA Pérez-Toro, ...
Neurodegenerative Disease Management 10 (3), 137-157, 2020
IR‐spectroscopy of skin in vivo: Optimal skin sites and properties for non‐invasive glucose measurement by photoacoustic and photothermal spectroscopy
A Bauer, O Hertzberg, A Küderle, D Strobel, MA Pleitez, W Mäntele
Journal of biophotonics 11 (1), e201600261, 2018
Consensus based framework for digital mobility monitoring
F Kluge, S Del Din, A Cereatti, H Gaßner, C Hansen, JL Helbostad, ...
PLoS One 16 (8), e0256541, 2021
Detection of gait from continuous inertial sensor data using harmonic frequencies
M Ullrich, A Küderle, J Hannink, S Del Din, H Gassner, F Marxreiter, ...
IEEE Journal of Biomedical and Health Informatics 24 (7), 1869-1878, 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, ...
Journal of neuroengineering and rehabilitation 18 (1), 93, 2021
Does the position of foot-mounted IMU sensors influence the accuracy of spatio-temporal parameters in endurance running?
M Zrenner, A Küderle, N Roth, U Jensen, B Dümler, BM Eskofier
Sensors 20 (19), 5705, 2020
Detection of unsupervised standardized gait tests from real-world inertial sensor data in Parkinson’s disease
M Ullrich, A Mücke, A Küderle, N Roth, T Gladow, H Gaßner, F Marxreiter, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 2103-2111, 2021
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
ME Micó-Amigo, T Bonci, A Paraschiv-Ionescu, M Ullrich, C Kirk, A Soltani, ...
Journal of neuroengineering and rehabilitation 20 (1), 78, 2023
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
F Salis, S Bertuletti, T Bonci, M Caruso, K Scott, L Alcock, E Buckley, ...
Frontiers in Bioengineering and Biotechnology 11, 1143248, 2023
Fall risk prediction in Parkinson's disease using real-world inertial sensor gait data
M Ullrich, N Roth, A Küderle, R Richer, T Gladow, H Gaßner, F Marxreiter, ...
IEEE journal of biomedical and health informatics 27 (1), 319-328, 2022
BioPsyKit: A Python package for the analysis of biopsychological data
R Richer, A Küderle, M Ullrich, N Rohleder, BM Eskofier
Journal of Open Source Software 6 (66), 3702, 2021
The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking
A Küderle, N Roth, J Zlatanovic, M Zrenner, B Eskofier, F Kluge
Plos one 17 (6), e0269567, 2022
Non-invasive substance analysis
W Mäntele, MAP Rafael, T Lieblein, O Hertzberg, A Bauer, ...
US Patent 10,883,933, 2021
Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data
M Ullrich, A Küderle, L Reggi, A Cereatti, BM Eskofier, F Kluge
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
Do we walk differently at home? A context-aware gait analysis system in continuous real-world environments
N Roth, GP Wieland, A Küderle, M Ullrich, T Gladow, F Marxreiter, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
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