Nils Roth
Nils Roth, M. Sc.
Since March ’18, Robert Richer and me are the CEOs of Portabiles, a spin-off company from our MaD Lab.
since 05/2017 | Researcher and Ph.D. student at the Machine Learning and Data Analytics Lab
Friedrich-Alexander-University Erlangen-Nuernberg |
01/2017 – 04/2017 | Researcher and Ph.D. student at the Pattern Recognition Lab
Friedrich-Alexander-University Erlangen-Nuernberg |
10/2014 – 10/2016 | Masters Degree „Medical Electronics“ Friedrich-Alexander-University Erlangen-Nuernberg Master Thesis : “Circuit Optimization for Capacitively Coupled ECG Measurement for Integration into a wearable Back Patch” |
04/2011 – 10/2014 | Bachelors Degree “Medical Engineering” Friedrich-Alexander-University Erlangen-Nuernberg Bachelor Thesis: “Entwurf und Implementierung von Algorithmen zur Aktivitäts- und Sturzerkennung” |
2024
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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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
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
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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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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Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy
4th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN) / 18th IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina)
In: 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22), NEW YORK: 2022
DOI: 10.1109/BHI56158.2022.9926873
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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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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
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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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
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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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
Sensor-based gait analysis distinguishes fallers from non-fallers in Parkinson's disease under clinical and real-life conditions
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Turning analysis during standardized test using on-shoe wearable sensors in parkinson’s disease
In: Sensors 19 (2019), Article No.: 3103
ISSN: 1424-8220
DOI: 10.3390/s19143103
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Technical Validation of an Automated Mobile Gait Analysis System for Hereditary Spastic Paraplegia Patients
In: IEEE Journal of Biomedical and Health Informatics (2019)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2019.2937574
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Correction to: Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease (J Neuroeng Rehabil (2019) 16:77 DOI: 10.1186/s12984-019-0548-2)
In: Journal of neuroEngineering and rehabilitation 16 (2019), Article No.: 98
ISSN: 1743-0003
DOI: 10.1186/s12984-019-0567-z
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Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease
In: Journal of neuroEngineering and rehabilitation 16 (2019)
ISSN: 1743-0003
DOI: 10.1186/s12984-019-0548-2
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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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Evaluation of foot kinematics during endurance running on different surfaces in real-world environments
DOI: 10.1007/978-3-030-35048-2_13
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2018
Mobile Gait Analysis Using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients
In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018
DOI: 10.1109/EMBC.2018.8513508
URL: https://www.mad.tf.fau.de/files/2018/09/embc2018_martindale.pdf
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Smart Annotation Tool for Multi-sensor gait based daily activity data
In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) 2018
DOI: 10.1109/PERCOMW.2018.8480193
URL: https://www.mad.tf.fau.de/files/2018/09/percom2018_martindale.pdf
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Synchronized sensor insoles for clinical gait analysis in home-monitoring applications
DOI: 10.1515/cdbme-2018-0103
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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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2017
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.
In: Sensors 17 (2017)
ISSN: 1424-8220
DOI: 10.3390/s17091940
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2016
ECG Measurement by Use of Passive Capacitively Coupled Electrodes
IEEE Sensors (Orlando, FL, 30. October 2016 - 2. November 2016)
In: Proc. IEEE Sensors Conf. 2016
DOI: 10.1109/ICSENS.2016.7808736
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2014
A Fall Detection and Activity Monitoring Algorithm for a Tele-Care System Supporting Dementia and Alzheimer Patients
In: BMT 2014 - 48. Jahrestagung der DGBMT 2014
DOI: 10.1515/bmt-2014-4100
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