Nils Roth

Orcid: 0000-0002-9166-3920

According to our database1, Nils Roth authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
uTUG: An unsupervised Timed Up and Go test for Parkinson's disease.
Biomed. Signal Process. Control., March, 2023

Real-World Clinical Gait Analysis in Parkinson's Disease: Fall Risk Assessment Based on Digital Mobility Outcomes Derived from Wearable Inertial Sensor Data (Klinische Ganganalyse im Alltag beim Parkinson-Syndrom: Erfassung des Sturzrisikos durch Digitale Mobilitätsparameter aus Daten von Tragbaren Inertialsensoren)
PhD thesis, 2023

Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data.
IEEE J. Biomed. Health Informatics, 2023

2022
Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease.
IEEE J. Biomed. Health Informatics, 2022

imucal - A Python library to calibrate 6 DOF IMUs.
J. Open Source Softw., 2022

Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
An Inertial Sensor-Based Gait Analysis Pipeline for the Assessment of Real-World Stair Ambulation Parameters.
Sensors, 2021

Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Technical Validation of an Automated Mobile Gait Analysis System for Hereditary Spastic Paraplegia Patients.
IEEE J. Biomed. Health Informatics, 2020

Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?
Sensors, 2020

2019
Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson's Disease.
Sensors, 2019


2018
Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Mobile Gait Analysis using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.
Sensors, 2017

2016
ECG measurement by use of passive capacitively coupled electrodes.
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016


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