Felix Kluge

Dr.-Ing. Felix Kluge

Alumnus

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

Room 01.012
Carl-Thiersch-Straße 2b
91052 Erlangen

Telefon: +49 9131 85-27921
E-Mail: felix.kluge@fau.de
Webseite: 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.

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
- Multimodal gait analysis of osteoarthritic gait
- Biomechanical investigation of gait phases
2012 – 2014: Assessment of biomechanical loading profiles in osteoarthritis

2025

Laudanski AF., Küderle A., Kluge F., Eskofier B., Acker SM.:
High-Knee-Flexion Posture Recognition Using Multi-Dimensional Dynamic Time Warping on Inertial Sensor Data
In: Sensors 25 (2025), Art.Nr.: 1083
ISSN: 1424-8220
DOI: 10.3390/s25041083
BibTeX: Download

2024

Kirk C., Küderle A., Micó-Amigo ME., Bonci T., Paraschiv-Ionescu A., Ullrich M., Soltani A., Gazit E., Salis F., Alcock L., Aminian K., Becker C., Bertuletti S., Brown P., Buckley E., Cantu A., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., D’Ascanio I., Garcia-Aymerich J., Hansen C., Hausdorff JM., Hiden H., Hume E., Keogh A., Kluge F., Koch S., Maetzler W., Megaritis D., Mueller A., Niessen M., Palmerini L., Schwickert L., Scott K., Sharrack B., Sillén H., Singleton D., Vereijken B., Vogiatzis I., Yarnall AJ., Rochester L., Mazzà C., Eskofier B., Del Din S.:
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
In: Scientific Reports 14 (2024), Art.Nr.: 1754
ISSN: 2045-2322
DOI: 10.1038/s41598-024-51766-5
BibTeX: Download
Küderle A., Ullrich M., Roth N., Ollenschläger M., Ibrahim A., Moradi H., Richer R., Seifer AK., Zürl M., Simpetru R., Herzer L., Prossel D., Kluge F., Eskofier B.:
Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), S. 1-10
ISSN: 2644-1276
DOI: 10.1109/OJEMB.2024.3356791
BibTeX: Download
Laudanski AF., Küderle A., Kluge F., Eskofier B., Acker SM.:
Enhancing Automatic Inertial Sensor Calibration Algorithm for Accurate Joint Angle Estimation in High Flexion Postures
In: IEEE Sensors Journal (2024), S. 1-1
ISSN: 1530-437X
DOI: 10.1109/JSEN.2024.3423374
BibTeX: Download
Micó-Amigo ME., Bonci T., Paraschiv-Ionescu A., Ullrich M., Kirk C., Soltani A., Küderle A., Gazit E., Salis F., Alcock L., Aminian K., Becker C., Bertuletti S., Brown P., Buckley E., Cantu A., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., D’Ascanio I., Eskofier B., Fernstad S., Froehlich M., Garcia-Aymerich J., Hansen C., Hausdorff JM., Hiden H., Hume E., Keogh A., Kluge F., Koch S., Maetzler W., Megaritis D., Mueller A., Niessen M., Palmerini L., Schwickert L., Scott K., Sharrack B., Sillén H., Singleton D., Vereijken B., Vogiatzis I., Yarnall AJ., Rochester L., Mazzà C., Del Din S.:
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), Art.Nr.: 71
ISSN: 1743-0003
DOI: 10.1186/s12984-024-01361-6
BibTeX: Download
Raccagni C., Sidoroff V., Paraschiv-Ionescu A., Roth N., Schönherr G., Eskofier B., Gaßner H., Kluge F., Teatini F., Seppi K., Goebel G., Benninger DH., Aminian K., Klucken J., Wenning G.:
Effects of physiotherapy and home-based training in parkinsonian syndromes: protocol for a randomised controlled trial (MobilityAPP)
In: BMJ Open 14 (2024), S. e081317-
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2023-081317
BibTeX: Download

2023

Delgado-Ortiz L., Polhemus A., Keogh A., Sutton N., Remmele W., Hansen C., Kluge F., Sharrack B., Becker C., Troosters T., Maetzler W., Rochester L., Frei A., Puhan MA., Garcia-Aymerich J.:
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
BibTeX: Download
Ibrahim A., Adler W., Gaßner H., Rothhammer V., Kluge F., Eskofier B.:
Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis
In: International Journal of Medical Informatics 177 (2023), Art.Nr.: 105145
ISSN: 1386-5056
DOI: 10.1016/j.ijmedinf.2023.105145
BibTeX: Download
Micó-Amigo ME., Bonci T., Paraschiv-Ionescu A., Ullrich M., Kirk C., Soltani A., Küderle A., Gazit E., Salis F., Alcock L., Aminian K., Becker C., Bertuletti S., Brown P., Buckley E., Cantu A., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., D’Ascanio I., Eskofier B., Fernstad S., Froehlich M., Garcia-Aymerich J., Hansen C., Hausdorff JM., Hiden H., Hume E., Keogh A., Kluge F., Koch S., Maetzler W., Megaritis D., Mueller A., Niessen M., Palmerini L., Schwickert L., Scott K., Sharrack B., Sillén H., Singleton D., Vereijken B., Vogiatzis I., Yarnall AJ., Rochester L., Mazzà C., Del Din S.:
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
In: Journal of neuroEngineering and rehabilitation 20 (2023), Art.Nr.: 78
ISSN: 1743-0003
DOI: 10.1186/s12984-023-01198-5
BibTeX: Download
Palmerini L., Reggi L., Bonci T., Del Din S., Micó-Amigo ME., Salis F., Bertuletti S., Caruso M., Cereatti A., Gazit E., Paraschiv-Ionescu A., Soltani A., Kluge F., Küderle A., Ullrich M., Kirk C., Hiden H., D’Ascanio I., Hansen C., Rochester L., Mazzà C., Chiari L.:
Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization
In: Scientific Data 10 (2023), Art.Nr.: 38
ISSN: 2052-4463
DOI: 10.1038/s41597-023-01930-9
BibTeX: Download
Romijnders R., Salis F., Hansen C., Küderle A., Paraschiv-Ionescu A., Cereatti A., Alcock L., Aminian K., Becker C., Bertuletti S., Bonci T., Brown P., Buckley E., Cantu A., Carsin AE., Caruso M., Caulfield B., Chiari L., D'Ascanio I., Del Din S., Eskofier B., Fernstad SJ., Fröhlich MS., Garcia Aymerich J., Gazit E., Hausdorff JM., Hiden H., Hume E., Keogh A., Kirk C., Kluge F., Koch S., Mazzà C., Megaritis D., Micó-Amigo E., Müller A., Palmerini L., Rochester L., Schwickert L., Scott K., Sharrack B., Singleton D., Soltani A., Ullrich M., Vereijken B., Vogiatzis I., Yarnall A., Schmidt G., Maetzler W.:
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), Art.Nr.: 1247532
ISSN: 1664-2295
DOI: 10.3389/fneur.2023.1247532
BibTeX: Download
Salis F., Bertuletti S., Bonci T., Caruso M., Scott K., Alcock L., Buckley E., Gazit E., Hansen C., Schwickert L., Aminian K., Becker C., Brown P., Carsin AE., Caulfield B., Chiari L., D’Ascanio I., Del Din S., Eskofier B., Garcia-Aymerich J., Hausdorff JM., Hume EC., Kirk C., Kluge F., Koch S., Küderle A., Maetzler W., Micó-Amigo EM., Mueller A., Neatrour I., Paraschiv-Ionescu A., Palmerini L., Yarnall AJ., Rochester L., Sharrack B., Singleton D., Vereijken B., Vogiatzis I., Della Croce U., Mazzà C., Cereatti A.:
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
In: Frontiers in Bioengineering and Biotechnology 11 (2023), Art.Nr.: 1143248
ISSN: 2296-4185
DOI: 10.3389/fbioe.2023.1143248
BibTeX: Download
Ullrich M., Roth N., Küderle A., Richer R., Gladow T., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data.
In: IEEE Journal of Biomedical and Health Informatics 27 (2023), S. 319-328
ISSN: 2168-2194
DOI: 10.1109/JBHI.2022.3215921
BibTeX: Download
da Rosa Tavares JE., Ullrich M., Roth N., Kluge F., Eskofier B., Gaßner H., Klucken J., Gladow T., Marxreiter F., da Costa CA., da Rosa Righi R., Victória Barbosa JL.:
uTUG: An unsupervised Timed Up and Go test for Parkinson's disease
In: Biomedical Signal Processing and Control 81 (2023), Art.Nr.: 104394
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2022.104394
BibTeX: Download

2022

Ceron JD., Lopez DM., Eskofier B., Kluge F.:
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
BibTeX: Download
Delgado Ortiz L., Polhemus A., Keogh A., Sutton N., Remmele W., Hansen C., Kluge F., Sharrack B., Becker C., Troosters T., Maetzler W., Rochester L., Frei A., Puhan M., Garcia-Aymerich J.:
What is walking? a systematic review and meta-ethnography
In: EUROPEAN RESPIRATORY JOURNAL, SHEFFIELD: 2022
DOI: 10.1183/13993003.congress-2022.377
BibTeX: Download
Egle F., Kluge F., Schöne D., Becker L., Koelewijn A.:
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 (Hrsg.): 2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2022
DOI: 10.1109/BSN56160.2022.9928474
BibTeX: Download
Froehlich H., Bontridder N., Petrovska-Delacreta D., Glaab E., Kluge F., El Yacoubi M., Marin Valero M., Corvol JC., Eskofier B., Van Gyseghem JM., Lehericy S., Winkler J., Klucken J.:
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
BibTeX: Download
Ibrahim A., Flachenecker F., Gaßner H., Rothammer V., Klucken J., Eskofier B., Kluge F.:
Short inertial sensor-based gait tests reflect perceived state fatigue in multiple sclerosis
In: Multiple Sclerosis and Related Disorders 58 (2022), Art.Nr.: 103519
ISSN: 2211-0348
DOI: 10.1016/j.msard.2022.103519
BibTeX: Download
Knitza J., Janousek L., Kluge F., Von Der Decken CB., Kleinert S., Vorbrueggen W., Kleyer A., Simon D., Hueber A., Muehlensiepen F., Vuillerme N., Schett G., Eskofier B., Welcker M., Bartz-Bazzanella P.:
Machine learning-based improvement of an online rheumatology referral and triage system
In: Frontiers in Medicine 9 (2022), Art.Nr.: 954056
ISSN: 2296-858X
DOI: 10.3389/fmed.2022.954056
BibTeX: Download
Küderle A., Roth N., Zlatanovic J., Zrenner M., Eskofier B., Kluge F.:
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
BibTeX: Download
Ollenschläger M., Küderle A., Mehringer W., Seifer AK., Winkler J., Gaßner H., Eskofier B., Kluge F.:
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
BibTeX: Download
Ollenschläger M., Müller-Schulz M., Püllen R., Möller C., Klucken J., Eskofier B., Kluge F.:
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
BibTeX: Download
Ollenschläger M., Müller-Schulz M., Püllen R., Möller C., Klucken J., Eskofier B., Kluge F.:
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
BibTeX: Download
Roth N., Ullrich M., Küderle A., Gladow T., Marxreiter F., Gaßner H., Kluge F., Klucken J., Eskofier B.:
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), S. 1-9
ISSN: 2168-2194
DOI: 10.1109/JBHI.2022.3186766
BibTeX: Download
Scott K., Bonci T., Salis F., Alcock L., Buckley E., Gazit E., Hansen C., Schwickert L., Aminian K., Bertuletti S., Caruso M., Chiari L., Sharrack B., Maetzler W., Becker C., Hausdorff JM., Vogiatzis I., Brown P., Del Din S., Eskofier B., Paraschiv-Ionescu A., Keogh A., Kirk C., Kluge F., Mico-Amigo EM., Mueller A., Neatrour I., Niessen M., Palmerini L., Sillen H., Singleton D., Ullrich M., Vereijken B., Froehlich M., Brittain G., Caulfield B., Koch S., Carsin AE., Garcia-Aymerich J., Küderle A., Yarnall A., Rochester L., Cereatti A., Mazza C.:
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
BibTeX: Download
Ullrich M., Roth N., Küderle A., Richer R., Gladow T., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
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
BibTeX: Download

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
DOI: 10.24251/hicss.2021.463
URL: https://scholarspace.manoa.hawaii.edu/handle/10125/71079
BibTeX: Download
Abdullahi I., Dehling T., Kluge F., Geck J., Sunyaev A., Eskofier B.:
Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review
In: Journal of Medical Internet Research 23 (2021), S. e24460
ISSN: 1438-8871
DOI: 10.2196/24460
URL: https://www.jmir.org/2021/11/e24460
BibTeX: Download
Happold J., Richer R., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
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
BibTeX: Download
Jakob V., Küderle A., Klucken J., Eskofier B., Winkler J., Winterholler M., Gaßner H., Kluge F.:
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), Art.Nr.: 7680
ISSN: 1424-8220
DOI: 10.3390/s21227680
BibTeX: Download
Kamal Mallick M., Biser S., Haridas A., Umesh V., Toensing O., Abdullahi I., Ollenschläger M., Heckel M., Kluge F., Ostgathe C., Eskofier B., Steigleder T.:
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
BibTeX: Download
Kluge F., Del Din S., Cereatti A., Gaßner H., Hansen C., Helbostad JL., Klucken J., Küderle A., Mueller A., Rochester L., Ullrich M., Eskofier B., Mazza C.:
Consensus based framework for digital mobility monitoring
In: PLoS ONE 16 (2021)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0256541
BibTeX: Download
Mazza C., Alcock L., Aminian K., Becker C., Bertuletti S., Bonci T., Brown P., Brozgol M., Buckley E., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., Chynkiamis N., Ciravegna F., Del Din S., Eskofier B., Evers J., Aymerich JG., Gazit E., Hansen C., Hausdorff JM., Helbostad JL., Hiden H., Hume E., Paraschiv-Ionescu A., Ireson N., Keogh A., Kirk C., Kluge F., Koch S., Küderle A., Lanfranchi V., Maetzler W., Mico-Amigo ME., Mueller A., Neatrour I., Niessen M., Palmerini L., Pluimgraaff L., Reggi L., Salis F., Schwickert L., Scott K., Sharrack B., Sillen H., Singleton D., Soltani A., Taraldsen K., Ullrich M., Van Gelder L., Vereijken B., Vogiatzis I., Warmerdam E., Yarnall A., Rochester L.:
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
BibTeX: Download
Polhemus A., Ortiz LD., Brittain G., Chynkiamis N., Salis F., Gaßner H., Gross M., Kirk C., Rossanigo R., Taraldsen K., Balta D., Breuls S., Buttery S., Cardenas G., Endress C., Gugenhan J., Keogh A., Kluge F., Koch S., Mico-Amigo ME., Nerz C., Sieber C., Williams P., Bergquist R., De Basea MB., Buckley E., Hansen C., Mikolaizak AS., Schwickert L., Scott K., Stallforth S., Van Uem J., Vereijken B., Cereatti A., Demeyer H., Hopkinson N., Maetzler W., Troosters T., Vogiatzis I., Yarnall A., Becker C., Garcia-Aymerich J., Leocani L., Mazza C., Rochester L., Sharrack B., Frei A., Puhan M.:
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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Roth N., Küderle A., Prossel D., Gaßner H., Eskofier B., Kluge F.:
An inertial sensor-based gait analysis pipeline for the assessment of real-world stair ambulation parameters
In: Sensors 21 (2021), Art.Nr.: 6559
ISSN: 1424-8220
DOI: 10.3390/s21196559
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Roth N., Küderle A., Ullrich M., Gladow T., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
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), Art.Nr.: 93
ISSN: 1743-0003
DOI: 10.1186/s12984-021-00883-7
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Roth N., Wieland GP., Küderle A., Ullrich M., Gladow T., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
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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Ullrich M., Küderle A., Reggi L., Cereatti A., Eskofier B., Kluge F.:
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
BibTeX: Download
Ullrich M., Mücke A., Küderle A., Roth N., Gladow T., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
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), S. 2103-2111
ISSN: 1534-4320
DOI: 10.1109/TNSRE.2021.3119390
URL: https://ieeexplore.ieee.org/abstract/document/9567680
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Wirth M., Gradl S., Prosinger G., Kluge F., Roth D., Eskofier B.:
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. März 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

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), S. 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), S. 651
ISSN: 1424-8220
DOI: 10.3390/s20030651
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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. Juli 2020 - 24. Juli 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), Art.Nr.: 165
ISSN: 1743-0003
DOI: 10.1186/s12984-020-00798-9
BibTeX: Download
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), S. e038704-
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2020-038704
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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), S. 50-58
ISSN: 2504-110X
DOI: 10.1159/000511611
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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), S. 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

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. Mai 2019 - 22. Mai 2019)
DOI: 10.1109/BHI.2019.8834660
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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), S. 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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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. Januar 2019 - 18. Januar 2019)
In: Klostermann, A., Vater, C., & Hossner, E.-J. (Hrsg.): Abstractband zur 16. Jahrestagung der dvs-Sektion Sportmotorik 2019
DOI: 10.7892/boris.123517
URL: https://boris.unibe.ch/123517/
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2015

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), S. 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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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. Juli 2015 - 16. Juli 2015)
In: XXV Congress of the International Society of Biomechanics 2015
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Quast M., Hebenstreit F., Lochmann M.:
Biomechanical efficacy profile of different shoe sole constructions
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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. Juli 2014 - 17. Juli 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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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), S. 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. März 2013 - 15. März 2013)
In: Deutsche Vereinigung für Sportwissenschaft, Sektion Biomechanik (Hrsg.): 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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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. Oktober 2013)
In: IEEE (Hrsg.): 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. Juli 2013 - 7. Juli 2013)
In: Engineering in Medicine and Biology Society (Hrsg.): 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)

Felix Kluge

Dr.-Ing. Felix Kluge

Academic CV

Research Projects

Publications