Felix Kluge
Dr.-Ing. 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.
- Since October 2018
Junior research group leader at the Machine Learning & Data Analytics Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Germany - July 2012 – September 2018
Researcher and 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
- 2020 – 2024: Activity Recognition using IMU Sensors integrated in Hearing Aids
- 2020 – 2022: DiGaitAppPD: Digital gait analysis as digital health application for therapy monitoring of Parkinson disease patients
- 2020 – 2022: Mobility_APP: Patient mobility of patients with atypical Parkinson disease: physiotherapeutic effects
- 2020 – 2022: Digital biomarkers in multiple sclerosis patients.
- 2019 – 2024: Mobilise-D: Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement
- 2018 – 2021: FallRiskPD
- 2016 – 2018: QMIS: Information management system for automated quality assessment in radiotherapy
- 2015 – 2016: MotionLab@Home: Multimodal motion analysis system for therapy monitoring
- 2014 – 2017: EFI Moves: Individualized Diagnostics and Therapy Monitoring in Motion
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2012 – 2014: Assessment of biomechanical loading profiles in osteoarthritis
2024
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
In: Scientific Reports 14 (2024), Article No.: 1754
ISSN: 2045-2322
DOI: 10.1038/s41598-024-51766-5
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Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
DOI: 10.1109/OJEMB.2024.3356791
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Enhancing Automatic Inertial Sensor Calibration Algorithm for Accurate Joint Angle Estimation in High Flexion Postures
In: IEEE Sensors Journal (2024), p. 1-1
ISSN: 1530-437X
DOI: 10.1109/JSEN.2024.3423374
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Correction to: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium (Journal of NeuroEngineering and Rehabilitation, (2023), 20, 1, (78), 10.1186/s12984-023-01198-5)
In: Journal of neuroEngineering and rehabilitation 21 (2024), Article No.: 71
ISSN: 1743-0003
DOI: 10.1186/s12984-024-01361-6
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Effects of physiotherapy and home-based training in parkinsonian syndromes: protocol for a randomised controlled trial (MobilityAPP)
In: BMJ Open 14 (2024), p. e081317-
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2023-081317
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2023
Listening to the patients' voice: a conceptual framework of the walking experience
In: Age and Ageing 52 (2023)
ISSN: 0002-0729
DOI: 10.1093/ageing/afac233
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Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis
In: International Journal of Medical Informatics 177 (2023), Article No.: 105145
ISSN: 1386-5056
DOI: 10.1016/j.ijmedinf.2023.105145
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Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
In: Journal of neuroEngineering and rehabilitation 20 (2023), Article No.: 78
ISSN: 1743-0003
DOI: 10.1186/s12984-023-01198-5
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Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization
In: Scientific Data 10 (2023), Article No.: 38
ISSN: 2052-4463
DOI: 10.1038/s41597-023-01930-9
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Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
In: Frontiers in Neurology 14 (2023), Article No.: 1247532
ISSN: 1664-2295
DOI: 10.3389/fneur.2023.1247532
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A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
In: Frontiers in Bioengineering and Biotechnology 11 (2023), Article No.: 1143248
ISSN: 2296-4185
DOI: 10.3389/fbioe.2023.1143248
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Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data.
In: IEEE Journal of Biomedical and Health Informatics 27 (2023), p. 319-328
ISSN: 2168-2194
DOI: 10.1109/JBHI.2022.3215921
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uTUG: An unsupervised Timed Up and Go test for Parkinson's disease
In: Biomedical Signal Processing and Control 81 (2023), Article No.: 104394
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2022.104394
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2022
Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios
In: Sensors 22 (2022)
ISSN: 1424-8220
DOI: 10.3390/s22093364
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What is walking? a systematic review and meta-ethnography
In: EUROPEAN RESPIRATORY JOURNAL, SHEFFIELD: 2022
DOI: 10.1183/13993003.congress-2022.377
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Development of an Inertial Sensor-Based Exergame for Combined Cognitive and Physical Training
2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN) (Ioannina, 27. September 2022 - 30. September 2022)
In: IEEE (ed.): 2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2022
DOI: 10.1109/BSN56160.2022.9928474
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Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease
In: Frontiers in Neurology 13 (2022)
ISSN: 1664-2295
DOI: 10.3389/fneur.2022.788427
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Short inertial sensor-based gait tests reflect perceived state fatigue in multiple sclerosis
In: Multiple Sclerosis and Related Disorders 58 (2022), Article No.: 103519
ISSN: 2211-0348
DOI: 10.1016/j.msard.2022.103519
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Machine learning-based improvement of an online rheumatology referral and triage system
In: Frontiers in Medicine 9 (2022), Article No.: 954056
ISSN: 2296-858X
DOI: 10.3389/fmed.2022.954056
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The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking
In: PLoS ONE 17 (2022)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0269567
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MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data
In: Sensors 22 (2022)
ISSN: 1424-8220
DOI: 10.3390/s22155849
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Correction to: Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards? (European Geriatric Medicine, (2022), 10.1007/s41999-022-00629-1)
In: European Geriatric Medicine (2022)
ISSN: 1878-7649
DOI: 10.1007/s41999-022-00646-0
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Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?
In: European Geriatric Medicine (2022)
ISSN: 1878-7649
DOI: 10.1007/s41999-022-00629-1
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Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson’s Disease
In: IEEE Journal of Biomedical and Health Informatics (2022), p. 1-9
ISSN: 2168-2194
DOI: 10.1109/JBHI.2022.3186766
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Design and validation of a multi-task, multi-context protocol for real-world gait simulation
In: Journal of neuroEngineering and rehabilitation 19 (2022)
ISSN: 1743-0003
DOI: 10.1186/s12984-022-01116-1
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Fall Risk Prediction in Parkinson’s Disease Using Real-World Inertial Sensor Gait Data
In: IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022)
ISSN: 1534-4320
DOI: 10.1109/jbhi.2022.3215921
URL: https://ieeexplore.ieee.org/document/9924545
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2021
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
DOI: 10.24251/hicss.2021.463
URL: https://scholarspace.manoa.hawaii.edu/handle/10125/71079
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Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review
In: Journal of Medical Internet Research 23 (2021), p. e24460
ISSN: 1438-8871
DOI: 10.2196/24460
URL: https://www.jmir.org/2021/11/e24460
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Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, 1. November 2021 - 5. November 2021)
DOI: 10.1109/EMBC46164.2021.9630842
URL: https://www.mad.tf.fau.de/files/2021/12/happold21_vertigo_home.pdf
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Validation of a sensor-based gait analysis system with a gold-standard motion capture system in patients with parkinson’s disease
In: Sensors 21 (2021), Article No.: 7680
ISSN: 1424-8220
DOI: 10.3390/s21227680
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Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study
In: Frontiers in Digital Health 3 (2021)
ISSN: 2673-253X
DOI: 10.3389/fdgth.2021.765867
URL: https://www.frontiersin.org/articles/10.3389/fdgth.2021.765867/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Digital_Health&id=765867#h6
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Consensus based framework for digital mobility monitoring
In: PLoS ONE 16 (2021)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0256541
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Technical validation of real-world monitoring of gait: a multicentric observational study
In: BMJ Open 11 (2021)
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2021-050785
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Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes
In: npj Digital Medicine 4 (2021)
ISSN: 2398-6352
DOI: 10.1038/s41746-021-00513-5
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An inertial sensor-based gait analysis pipeline for the assessment of real-world stair ambulation parameters
In: Sensors 21 (2021), Article No.: 6559
ISSN: 1424-8220
DOI: 10.3390/s21196559
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Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients
In: Journal of neuroEngineering and rehabilitation 18 (2021), Article No.: 93
ISSN: 1743-0003
DOI: 10.1186/s12984-021-00883-7
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Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, 1. November 2021 - 5. November 2021)
DOI: 10.1109/EMBC46164.2021.9630378
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Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, 1. November 2021 - 5. November 2021)
DOI: 10.1109/EMBC46164.2021.9630653
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Detection of unsupervised standardized gait tests from real-world inertial sensor data in Parkinson’s disease
In: IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021), p. 2103-2111
ISSN: 1534-4320
DOI: 10.1109/TNSRE.2021.3119390
URL: https://ieeexplore.ieee.org/abstract/document/9567680
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The impact of avatar appearance, perspective and context on gait variability and user experience in virtual reality
28th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021 (Virtual, Lisboa, PRT, 27. March 2021 - 3. April 2021)
In: Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021 2021
DOI: 10.1109/VR50410.2021.00055
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2020
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
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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
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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
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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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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
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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
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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
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2019
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
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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
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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/
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2018
Pre-operative sensor-based gait parameters predict functional outcome after total knee arthroplasty
In: Gait & Posture 66 (2018), p. 194-200
ISSN: 0966-6362
DOI: 10.1016/j.gaitpost.2018.08.026
URL: https://www.mad.tf.fau.de/files/2020/12/kluge_2018_gp_proof.pdf
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Unterschiede in der Sprunggelenksvariabilität beim Laufen zwischen Sportlern mit chronischer Instabilität und Copern
2. GAMMA Kongress (Hamburg, 9. February 2018 - 10. February 2018)
In: 2. GAMMA Kongress 2018
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2017
Comparison of different marker sets for marker trajectory and principal component analysis based classification of simulated gait impairments
In: Journal of Biomedical Engineering and Informatics 3 (2017), p. 10-17
ISSN: 2377-9381
DOI: 10.5430/jbei.v3n1p10
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„Natural Running“: Biomechanischer Vergleich von Vorfuß- oder Rückfußlauf
GOTS 2017 (Berlin)
In: Sports Orthopaedics and Traumatology 2017
DOI: 10.1016/j.orthtr.2017.03.074
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Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests
In: 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2017, p. 129-132
DOI: 10.1109/BSN.2017.7936024
URL: http://ieeexplore.ieee.org/document/7936024/
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Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.
In: Sensors 17 (2017)
ISSN: 1424-8220
DOI: 10.3390/s17091940
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Letter to the Editor regarding “Gait recording with inertial sensors – How to determine initial and terminal contact”
In: Journal of Biomechanics (2017), p. 183-184
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2016.07.043
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Letter to the Editor regarding "Gait recording with inertial sensors - How to determine initial and terminal contact" by Bötzel and colleagues.
In: Journal of Biomechanics 52 (2017), p. 183-184
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2016.07.043
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Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters
In: Sensors 17 (2017), p. 1522
ISSN: 1424-8220
DOI: 10.3390/s17071522
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Speed dependent effects of laterally wedged insoles on gait biomechanics in healthy subjects
In: Gait & Posture 55 (2017), p. 145-149
ISSN: 0966-6362
DOI: 10.1016/j.gaitpost.2017.04.012
URL: https://www.mad.tf.fau.de/files/2020/12/kluge_2017_gp_proof.pdf
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Three-Dimensional Biomechanical Analysis of Rearfoot and Forefoot Running
In: Orthopaedic Journal of Sports Medicine 5 (2017), Article No.: 232596711771906
ISSN: 2325-9671
DOI: 10.1177/2325967117719065
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Sportler mit Sprunggelenksinstabilität weisen im Vergleich zu Copern keine Veränderungen der Sprunggelenkskinematik beim Laufen auf
In: Schwirtz, A., Mess, F., Demetriou, Y. & Senner, V. (Hrsg.) (ed.): Innovation & Technologie im Sport. Abstractband des 23. dvs-Hochschultags vom 13. bis 15. September 2017 in München, Hamburg: Feldhaus, 2017, p. 206
ISBN: 978-3-88020-655-7
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2016
Comparison of different marker sets for marker trajectory based classification of simulated gait impairments
21st Annu. Congr. Eur. Coll. Sport Sci. 2016 (Wien)
DOI: 10.5430/jbei.v3n1p10
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MotionLab@Home: Complementary Measurement of Gait Characteristics Using Wearable Technology and Markerless Video Tracking - A Study Protocol
In: Advanced Engineering Forum 19 (2016), p. 149-155
ISSN: 2234-9898
DOI: 10.4028/www.scientific.net/AEF.19.149
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Natural Running: Biomechanischer Vergleich von Vorfuß- und Rückfußlauf
German Congress of Orthopaedics and Traumatology (DKOU 2016) (Berlin, 25. October 2016 - 28. October 2016)
DOI: 10.3205/16dkou721
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2015
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
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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
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Biomechanical efficacy profile of different shoe sole constructions
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2014
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
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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
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
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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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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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- Module Biomedical Signal Analysis
- Biomedical Signal Analysis (WS 21/22)
- Biomedical Signal Analysis (WS 20/21)
- Biomedical Signal Analysis (WS 19/20)