Felix Kluge › Machine Learning and Data Analytics Lab

Dr.-Ing. Felix Kluge

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room 01.012
Carl-Thiersch-Straße 2b
91052 Erlangen

Phone number: +49 9131 85 27921
Email: felix.kluge@fau.de
Website: https://www.mad.tf.fau.de/person/felix-kluge/

I currently lead the “Digital Health – Gait Analytics” group.

My research motivation is the improvement of patients’ quality of life by using new digital technologies to early diagnose diseases, predict interventional outcomes and model disease progression. Hereby I aim to develop wearable technology to assess health using long-term home monitoring systems in the real world. Potential symptoms include, but are not limited to, movement disorders. To allow secure and safe data handling, appropriate data and analysis infrastructures need to be researched upon which allow researchers and clinicians to analyze the obtained multimodal data. The application of artificial intelligence, such as machine learning methods which learn from the obtained data, will allow to mine this real world data for potential symptom patterns for improved diagnostics. The overall goal is the development and validation of new mobile digital outcomes that can complement current clinical diagnostics.

Find me on social media: Twitter | Google Scholar | ResearchGate | LinkedIn

Since September 2018
Researcher at the Machine Learning & Data Analytics Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Germany
July 2012 – September 2018
PhD candidate at the Machine Learning & Data Analytics Lab (formerly Digital Sports Group), Friedrich-Alexander-University Erlangen-Nuremberg, Germany
2012
M.Sc. (Physics) at the University of Marburg, Germany
2009-2010
International Student at the University of Uppsala, Sweden
2009
B.Sc. (Physics) at the University of Göttingen, Germany

2021

Abdullahi I., Dehling T., Kluge F., Eskofier B., Sunyaev A.:
Online at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems
In: 54th Hawaii International Conference on Systems Sciences (HICSS-54) 2021
URL: https://scholarspace.manoa.hawaii.edu/handle/10125/71079
BibTeX: Download

2020

Ceron JD., Kluge F., Küderle A., Eskofier B., López DM.:
Simultaneous indoor pedestrian localization and house mapping based on inertial measurement unit and bluetooth low-energy beacon data
In: Sensors 20 (2020), p. 1-21
ISSN: 1424-8220
DOI: 10.3390/s20174742
BibTeX: Download
Ceron JD., Martindale C., López DM., Kluge F., Eskofier B.:
Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System
In: Sensors 20 (2020), p. 651
ISSN: 1424-8220
DOI: 10.3390/s20030651
BibTeX: Download
Fischer S., Ullrich M., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
Automatic clinical gait test detection from inertial sensor data
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (Montreal, 20. July 2020 - 24. July 2020)
DOI: 10.1109/EMBC44109.2020.9176440
BibTeX: Download
Ibrahim A., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis
In: Journal of neuroEngineering and rehabilitation 17 (2020), Article No.: 165
ISSN: 1743-0003
DOI: 10.1186/s12984-020-00798-9
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Polhemus AM., Bergquist R., Bosch de Basea M., Brittain G., Buttery SC., Chynkiamis N., Dalla Costa G., Delgado Ortiz L., Demeyer H., Emmert K., Garcia Aymerich J., Gaßner H., Hansen C., Hopkinson N., Klucken J., Kluge F., Koch S., Leocani L., Maetzler W., Micó-Amigo ME., Mikolaizak AS., Piraino P., Salis F., Schlenstedt C., Schwickert L., Scott K., Sharrack B., Taraldsen K., Troosters T., Vereijken B., Vogiatzis I., Yarnall A., Mazza C., Becker C., Rochester L., Puhan MA., Frei A.:
Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review
In: BMJ Open 10 (2020), p. e038704-
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2020-038704
BibTeX: Download
Tietsch M., Muaremi A., Clay I., Kluge F., Hoefling H., Ullrich M., Küderle A., Eskofier B., Müller A.:
Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies
In: Digital Biomarkers 4 (2020), p. 50-58
ISSN: 2504-110X
DOI: 10.1159/000511611
BibTeX: Download
Ullrich M., Küderle A., Hannink J., Del Din S., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies
In: IEEE Journal of Biomedical and Health Informatics 24 (2020), p. 1869 - 1878
ISSN: 2168-2194
DOI: 10.1109/JBHI.2020.2975361
URL: https://www.mad.tf.fau.de/files/2020/11/2020_ullrich_gaitsequencedetection.pdf
BibTeX: Download

2019

Ullrich M., Hannink J., Gaßner H., Klucken J., Eskofier B., Kluge F.:
Unsupervised harmonic frequency-based gait sequence detection for Parkinson’s disease
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Chicago, 19. May 2019 - 22. May 2019)
DOI: 10.1109/BHI.2019.8834660
BibTeX: Download
Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
Ankle angle variability during running in athletes with chronic ankle instability and copers
In: Gait & Posture 68 (2019), p. 329–334
ISSN: 0966-6362
DOI: 10.1016/j.gaitpost.2018.11.038
URL: https://www.sciencedirect.com/science/article/pii/S096663621830345X
BibTeX: Download
Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
Athletes with chronic ankle instability demonstrate altered ankle angle variability during running compared to copers
Sportmotorik 2019. Adaptation, Lernen und virtuelle Welten (Bern, 16. January 2019 - 18. January 2019)
In: Klostermann, A., Vater, C., & Hossner, E.-J. (ed.): Abstractband zur 16. Jahrestagung der dvs-Sektion Sportmotorik 2019
DOI: 10.7892/boris.123517
URL: https://boris.unibe.ch/123517/
BibTeX: Download

2015

Hebenstreit F., Leibold A., Krinner S., Welsch G., Lochmann M., Eskofier B.:
Speed modelling of relative gait phase durations.
XXV Congress of the International Society of Biomechanics (Glasgow, 12. July 2015 - 16. July 2015)
In: XXV Congress of the International Society of Biomechanics 2015
BibTeX: Download
Hebenstreit F., Leibold A., Krinner S., Welsch G., Lochmann M., Eskofier B.:
Effect of walking speed on gait sub phase durations
In: Human Movement Science 43 (2015), p. 118-24
ISSN: 0167-9457
DOI: 10.1016/j.humov.2015.07.009
URL: https://www.mad.tf.fau.de/files/2020/12/hebenstreit_2015_hms_proof2.pdf
BibTeX: Download
Quast M., Hebenstreit F., Lochmann M.:
Biomechanical efficacy profile of different shoe sole constructions
BibTeX: Download

2014

Hebenstreit F., Merklein S., Welsch G., Lochmann M., Eskofier B.:
Comparison of a threshold and a DTW based algorithm for automatic jump segmentation
13th International Symposium on 3D Analysis of Human Movement (3D-AHM) (Lausanne, 14. July 2014 - 17. July 2014)
In: 13th International Symposium on 3D Analysis of Human Movement (3D-AHM) 2014
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Hebenstreit14-COA.pdf
BibTeX: Download
Reis P., Hebenstreit F., Gabsteiger F., von Tscharner V., Lochmann M.:
Methodological aspects of EEG and body dynamics measurements during motion
In: Frontiers in Human Neuroscience 1 (2014), p. 156-175
ISSN: 1662-5161
DOI: 10.3389/fnhum.2014.00156
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2013

Hebenstreit F., Eskofier B., Blanke M., Lochmann M.:
Statistische Analyse Ensemble-gemittelter zyklischer Bewegungsdaten
Neue Ansätze in der Bewegungsforschung (Technische Universität Chemnitz, 13. March 2013 - 15. March 2013)
In: Deutsche Vereinigung für Sportwissenschaft, Sektion Biomechanik (ed.): Proceeding of: Tagung Deutsche Vereinigung für Sportwissenschaft, Sektion Biomechanik 2013
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Hebenstreit13-SAE.pdf
BibTeX: Download
Jakob C., Kugler P., Hebenstreit F., Reinfelder S., Jensen U., Schuldhaus D., Lochmann M., Eskofier B.:
Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors
8th International Conference on Body Area Networks (Boston, MA, USA, 30. September 2013 - 2. October 2013)
In: IEEE (ed.): BodyNets 2013 2013
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Jakob13-EOT.pdf
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Leutheuser H., Gabsteiger F., Hebenstreit F., Reis P., Lochmann M., Eskofier B.:
Comparison of the AMICA and the InfoMax Algorithm for the Reduction of Electromyogenic Artifacts in EEG Data
35th Annual International Conference of the IEEE EMBS (Osaka, 3. July 2013 - 7. July 2013)
In: Engineering in Medicine and Biology Society (ed.): IEEE EMBC 2013 2013
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Leutheuser13-COT.pdf
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Dr.-Ing. Felix Kluge

Academic CV

Research Projects

Publications

2021

2020

2019

2018

2017

2016

2015

2014

2013