Arne Küderle

Arne Küderle, M. Sc.

IT-Sicherheits-Beauftragter

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

Room 01.026
Carl-Thiersch-Straße 2b
91052 Erlangen

Phone number: +49 9131 85-20162
Email: arne.kuederle@fau.de

Long-term monitoring of physiological parameters is the future of digital health. For patients and doctors, it can provide more meaningful data for diagnosis and to objectively track the effectiveness of interventions. For you and me, unobtrusive long-term monitoring aids the early detection of diseases and disorders and provides us objective feedback to design a lifestyle that supports our health and longevity.

To reach this future, we need two things: (1) Accurate sensors and algorithms that can measure our biosignals even in the chaos our life tends to be from time to time and (2) the ability and the right to view, control, and own the data these sensors produce. I am interested in both challenges. Therefore, I am trying to build the most accurate IMU based algorithms for unobtrusive human movement tracking and I am involved in research and concept development for next-generation systems for medical data handling that are from key importance to enable patient-centered healthcare applications.

Because all research is just wasted workhours if it can not be reproduced and used in final applications, I am a heavy advocate of open-source software and I am working towards building robust, standardised, and easy-to-use software tools that enable other researchers to actual use all the algorithms I and my colleagues develop.

Since 03/2018	Researcher and Ph.D. student Machine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2015 – 1/2018	M.Sc. in Biomedical Engineering RWTH Aachen University Master Thesis: “Development of a wireless Unit for longterm Monitoring of the Knee Joint Kinematics in Arthrosis Patients“
03/2014 – 05/2015	Research Assistant Institute of Biophysics, Goethe University Frankfurt
10/2011 – 11/2014	B.Sc. in Biophysics Goethe University Frankfurt, Bachelor Thesis: “IR-Spectroscopy on human skin in vivo using Photothermal, Photoacoustic and Reflectrometry methods“

MoveIT

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), Article No.: 1754
ISSN: 2045-2322
DOI: 10.1038/s41598-024-51766-5
BibTeX: Download
Kluge F., Brand YE., Micó-Amigo ME., Bertuletti S., D'Ascanio I., Gazit E., Bonci T., Kirk C., Küderle A., Palmerini L., Paraschiv-Ionescu A., Salis F., Soltani A., Ullrich M., Alcock L., Aminian K., Becker C., Brown P., Buekers J., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., Echevarria C., Eskofier B., Evers J., Garcia-Aymerich J., Hache T., Hansen C., Hausdorff JM., Hiden H., Hume E., Keogh A., Koch S., Maetzler W., Megaritis D., Niessen M., Perlman O., Schwickert L., Scott K., Sharrack B., Singleton D., Vereijken B., Vogiatzis I., Yarnall A., Rochester L., Mazzà C., Del Din S., Mueller A.:
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
In: JMIR Formative Research 8 (2024), Article No.: e50035
ISSN: 2561-326X
DOI: 10.2196/50035
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), p. 1-10
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), p. 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), Article No.: 71
ISSN: 1743-0003
DOI: 10.1186/s12984-024-01361-6
BibTeX: Download
Richer R., Abel L., Mücke A., Küderle A., Eskofier B., Rohleder N.:
CARWatch – An Open-Source Framework for Objective Cortisol Awakening Response Assessment
DOI: 10.1016/j.psyneuen.2023.106845
BibTeX: Download
Richer R., Koch V., Abel L., Hauck F., Kurz M., Ringgold V., Müller V., Küderle A., Schindler-Gmelch L., Eskofier B., Rohleder N.:
Machine learning-based detection of acute psychosocial stress from body posture and movements
In: Scientific Reports 14 (2024), Article No.: 8251
ISSN: 2045-2322
DOI: 10.1038/s41598-024-59043-1
URL: https://www.nature.com/articles/s41598-024-59043-1
BibTeX: Download
Richer R., Varkentin E., Kurmanbekova K., Müller V., Abel L., Ringgold V., Küderle A., Brich I., Rohleder N., Eskofier B.:
Stress+ – Towards an Open-Source Web Application for the Remote Induction of Acute Psychosocial Stress
DOI: 10.1016/j.psyneuen.2023.106870
BibTeX: Download
Richer R., Zenkner JJ., Küderle A., Rohleder N., Eskofier B.:
Lower Vagal Response to the Cold Face Test during Acute Psychosocial Stress is Associated with Higher Cortisol Reactivity
DOI: 10.1016/j.psyneuen.2023.106871
BibTeX: Download

2023

Abdullahi I., Raab R., Küderle A., Eskofier B.:
Aligning Federated Learning with Existing Trust Structures in Health Care Systems
In: International Journal of Environmental Research and Public Health 20 (2023), Article No.: 5378
ISSN: 1661-7827
DOI: 10.3390/ijerph20075378
URL: https://www.mdpi.com/1660-4601/20/7/5378
BibTeX: Download
Buekers J., Megaritis D., Koch S., Alcock L., Ammour N., Becker C., Bertuletti S., Bonci T., Brown P., Buckley E., Buttery SC., Caulfied B., Cereatti A., Chynkiamis N., Demeyer H., Echevarria C., Frei A., Hansen C., Hausdorff JM., Hopkinson NS., Hume E., Küderle A., Maetzler W., Mazzà C., Micó-Amigo EM., Mueller A., Palmerini L., Salis F., Scott K., Troosters T., Vereijken B., Watz H., Rochester L., Din SD., Vogiatzis I., Garcia-Aymerich J.:
Laboratory and free-living gait performance in adults with COPD and healthy controls
In: ERJ Open Research 9 (2023), Article No.: 00159-2023
ISSN: 2312-0541
DOI: 10.1183/23120541.00159-2023
BibTeX: Download
Koch V., Jakob V., Küderle A., Ollenschläger M., Kotter K., Ibrahim A., Winkler J., Eskofier B., Regensburger M., Gaßner H.:
Inertial sensor acquired foot elevation parameters validated by Motion capture in a cohort of patients with Hereditary Spastic Paraplegias
In: Gait & Posture 100 (2023), p. 79-80
ISSN: 0966-6362
DOI: 10.1016/j.gaitpost.2022.11.071
BibTeX: Download
Krauß D., Richer R., Albrecht NC., Küderle A., Abel L., Leutheuser H., Jukic J., German A., Kölpin A., Winkler J., Eskofier B.:
Contactless Heart Rate Estimation using a 61 GHz Continuous-Wave Radar
IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health (MIT Media Lab, Boston MA, 9. October 2023 - 11. October 2023)
BibTeX: Download
Küderle A., Richer R., Simpetru R., Eskofier B.:
tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation
In: Journal of Open Source Software 8 (2023), p. 4953
ISSN: 2475-9066
DOI: 10.21105/joss.04953
URL: https://joss.theoj.org/papers/10.21105/joss.04953
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), Article No.: 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), Article No.: 38
ISSN: 2052-4463
DOI: 10.1038/s41597-023-01930-9
BibTeX: Download
Raab R., Küderle A., Zakreuskaya A., Stern AD., Klucken J., Kaissis G., Rueckert D., Boll S., Eils R., Wagener H., Eskofier B.:
Federated electronic health records for the European Health Data Space
In: The Lancet Digital Health 5 (2023), p. e840-e847
ISSN: 2589-7500
DOI: 10.1016/S2589-7500(23)00156-5
URL: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00156-5/fulltext
BibTeX: Download
Richer R., Abel L., Küderle A., Eskofier B., Rohleder N.:
CARWatch – A smartphone application for improving the accuracy of cortisol awakening response sampling
In: Psychoneuroendocrinology 151 (2023), p. 106073
ISSN: 0306-4530
DOI: 10.1016/j.psyneuen.2023.106073
URL: https://www.sciencedirect.com/science/article/abs/pii/S0306453023000513
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Richer R., Geßler T., Herzer L., Abel L., Küderle A., Rohleder N., Eskofier B.:
openTSST – An open web platform for large-scale, video-based motion analysis during acute psychosocial stress
IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health (MIT Media Lab, Boston, MA, 9. October 2023 - 11. October 2023)
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), Article No.: 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), Article No.: 1143248
ISSN: 2296-4185
DOI: 10.3389/fbioe.2023.1143248
BibTeX: Download
Seifer AK., Dorschky E., Küderle A., Moradi H., Hannemann R., Eskofier B.:
EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors
In: Sensors 23 (2023), Article No.: 6565
ISSN: 1424-8220
DOI: 10.3390/s23146565
URL: https://www.mdpi.com/1424-8220/23/14/6565
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), p. 319-328
ISSN: 2168-2194
DOI: 10.1109/JBHI.2022.3215921
BibTeX: Download
Vorberg L., Pflüger S., Richer R., Jäger K., Küderle A., Rohleder N., Eskofier B.:
Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning
2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, 15. October 2023 - 18. October 2023)
In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
DOI: 10.1109/BHI58575.2023.10313401
URL: https://www.mad.tf.fau.de/files/2023/12/vorberg_pflueger23_stress_coping_nightly_hr.pdf
BibTeX: Download

2022

Antunes RS., Da Costa CA., Küderle A., Abdullahi I., Eskofier B.:
Federated Learning for Healthcare: Systematic Review and Architecture Proposal
In: ACM Transactions on Intelligent Systems and Technology (2022)
ISSN: 2157-6904
DOI: 10.1145/3501813
URL: https://dl.acm.org/doi/10.1145/3501813
BibTeX: Download
Krauß D., Richer R., Küderle A., Beilner J., Rohleder N., Eskofier B.:
Benchmarking of Sleep/Wake Detection Algorithms on a Large Cohort using Actigraphy, HRV, and Respiration Information
IEEE-EMBS International Conference on Biomedical and Health Informatics (Ioaninna, 26. September 2022 - 30. September 2022)
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Krauß D., Richer R., Küderle A., Rohleder N., Eskofier B.:
Towards Integration of Sleep Quality in Sports Monitoring – Improving Wearable Sleep Detection Algorithms through Respiratory Information
13th World Congress of Performance Analysis of Sport 2022 & 13th International Symposium on Computer Science in Sport 2022 (Wien, 10. September 2022 - 13. September 2022)
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Küderle A., Roth N., Richer R., Eskofier B.:
imucal - A Python library to calibrate 6 DOF IMUs
In: Journal of Open Source Software 7 (2022), p. 4338
ISSN: 2475-9066
DOI: 10.21105/joss.04338
URL: https://www.theoj.org/joss-papers/joss.04338/10.21105.joss.04338.pdf
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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
Richer R., Koch V., Küderle A., Müller V., Wirth V., Stamminger M., Rohleder N., Eskofier B.:
Detection of Acute Psychosocial Stress from Body Movements using Machine Learning
79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, 23. March 2022 - 26. March 2022)
In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
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Richer R., Zenkner JJ., Küderle A., Rohleder N., Eskofier B.:
Exploring the Cold Face Test as a Mechanism for Reducing Acute Psychosocial Stress Responses
79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, 23. March 2022 - 26. March 2022)
In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
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Richer R., Zenkner JJ., Küderle A., Rohleder N., Eskofier B.:
Vagus activation by Cold Face Test reduces acute psychosocial stress responses
In: Scientific Reports 12 (2022), Article No.: 19270
ISSN: 2045-2322
DOI: 10.1038/s41598-022-23222-9
URL: https://www.nature.com/articles/s41598-022-23222-9
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Rohleder N., Richer R., Koch V., Küderle A., Müller V., Wirth V., Stamminger M., Eskofier B.:
Effect of Acute Psychosocial Stress on Body Movements
79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, 23. March 2022 - 26. March 2022)
In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
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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), p. 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
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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
Vorberg L., Pflüger S., Richer R., Jäger K., Küderle A., Nassall K., Eskofier B., Rohleder N.:
Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns Using Machine Learning
79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, 23. March 2022 - 26. March 2022)
In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine, PHILADELPHIA: 2022
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2021

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
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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), Article No.: 7680
ISSN: 1424-8220
DOI: 10.3390/s21227680
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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
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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
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Richer R., Küderle A., Dörr J., Rohleder N., Eskofier B.:
Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement
2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Athens, 28. July 2021 - 30. July 2021)
In: IEEE (ed.): 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2021
DOI: 10.1109/BHI50953.2021.9508529
URL: https://www.mad.tf.fau.de/files/2021/08/richer21_car_inner_clock.pdf
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Richer R., Küderle A., Ullrich M., Rohleder N., Eskofier B.:
BioPsyKit: A Python package for the analysis of biopsychological data
In: Journal of Open Source Software 6 (2021), p. 3702
ISSN: 2475-9066
DOI: 10.21105/joss.03702
URL: https://www.theoj.org/joss-papers/joss.03702/10.21105.joss.03702.pdf
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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), Article No.: 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), Article No.: 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
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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), p. 2103-2111
ISSN: 1534-4320
DOI: 10.1109/TNSRE.2021.3119390
URL: https://ieeexplore.ieee.org/abstract/document/9567680
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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), p. 1-21
ISSN: 1424-8220
DOI: 10.3390/s20174742
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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. July 2020 - 24. July 2020)
DOI: 10.1109/EMBC44109.2020.9176440
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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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Orozco-Arroyave JR., Vasquez Correa J., Klumpp P., Perez Toro PA., Escobar-Grisales D., Roth N., Ríos-Urrego CD., Strauß M., Carvajal-Castaño HA., Bayerl S., Castrillón-Osorio LR., Arias-Vergara T., Küderle A., López-Pabón FO., Parra-Gallego LF., Eskofier B., Gómez-Gómez LF., Schuster M., Nöth E.:
Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement
In: Neurodegenerative Disease Management (2020)
ISSN: 1758-2024
DOI: 10.2217/nmt-2019-0037
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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), p. 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), 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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Zrenner M., Küderle A., Roth N., Jensen U., Dümler B., Eskofier B.:
Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?
In: Sensors 20 (2020), Article No.: 5705
ISSN: 1424-8220
DOI: 10.3390/s20195705
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2019

Abel L., Richer R., Küderle A., Gradl S., Eskofier B., Rohleder N.:
Classification of Acute Stress-Induced Response Patterns
EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19) (Trento, 20. May 2019 - 23. May 2019)
DOI: 10.1145/3329189.3329231
URL: https://www.mad.tf.fau.de/files/2019/05/2019-Abel-PervasiveHealth-StressResponsePatterns.pdf
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Aholt K., Martindale C., Küderle A., Gaßner H., Gladow T., Rojo J., Villanueva-Mascato S., Klucken J., Arredondo Waldmeyer MT., Eskofier B.:
A Mobile Solution for Rhythmic Auditory Stimulation Gait Training
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Berlin, 23. July 2019 - 27. July 2019)
In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
DOI: 10.1109/EMBC.2019.8857143
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Gladow T., Gaßner H., Ullrich M., Hannink J., Roth N., Marxreiter F., Küderle A., Kohl Z., Winkler J., Eskofier B., Klucken J.:
Sensor-based gait analysis distinguishes fallers from non-fallers in Parkinson's disease under clinical and real-life conditions
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Vásquez-Correa JC., Klumpp P., Arias-Vergara T., Strauss M., Küderle A., Roth N., Bayerl S., García-Ospina N., Perez Toro PA., Parra-Gallego LF., Rios-Urrego CD., Escobar-Grisales D., Orozco-Arroyave JR., Eskofier B., Nöth E.:
Apkinson: A mobile solution for multimodal assessment of patients with Parkinson's disease
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, 15. September 2019 - 19. September 2019)
In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019
DOI: 10.21437/Interspeech.2019-8003
URL: https://www.isca-speech.org/archive/Interspeech_2019/abstracts/8003.html
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2018

Ullrich M., Gladow T., Roth N., Küderle A., Ollenschläger M., Gaßner H., Winkler J., Klucken J., Eskofier B.:
FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk)
European Falls Festival 2018 (Manchester, 2. July 2018 - 3. July 2018)
In: European Falls Festival, 2nd and 3rd July 2018, Manchester, United Kingdom, ABSTRACT BOOKLET 2018
URL: http://eufallsfest.eu/documents/Abstract Booklet.pdf
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Springorium Commemorative Coin (RWTH Aachen University) – 9/2018
Friedrich-Wilhelm Award (RWTH Aachen University) – 11/2019
3rd place ZD.B-Science Slam on the topic of “Medical Data – The Good, the Bad, and the Ugly”

BioSig

Arne Küderle

Arne Küderle, M. Sc.

Academic CV

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Research Projects (Finished)

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