Adrian Derungs
- Job title: Researcher
- Organization: Department of Medical Informatics, Biometry and Epidemiology
- Working group: Chair of Digital Health
- Phone number: +49 9131 85-23605
- Email: adrian.derungs@fau.de
- Address: Henkestraße 91, Haus 7, 1. OG
91052 Erlangen
GermanyRoom 377 - Office hours:
Biography
Adrian Derungs received his BSc. degree in Systems Engineering from the University of Applied Sciences NTB, Buchs, Switzerland in 2008. After working as Hardware Engineer in the MedTech industry he started his Master studies in 2010, and received the MSc. degree in Biomedical Engineering from the University of Bern, Bern, Switzerland in 2012. During the full-time study, he worked part-time in the Rehabilitation and Performance Institute at the University of Applied Sciences in BFH, Burgdorf, Switzerland.
He is currently working toward the PhD. degree with the Friedrich-Alexander University Erlangen-Nürnberg, Erlagen, Germany. His main research interest include free-living quantification of functional movement in patients after stroke, long-term recovery trend analysis using wearable sensor technology. In addition, his research includes motion analysis in sports and skill-evaluation using machine learning techniques.
Publications
, "AIM in Unsupervised Data Mining", Artificial Intelligence in Medicine, Springer International Publishing, 2021.
, "Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis", Nature Scientifc Reports, 2020.
, "Performance monitoring and evaluation of patients after stroke in free-living using wearable motion sensors and digital biomarkers", PhD Thesis, opus4.kobv.de, 2020.
, "Wearable motion sensors and digital biomarkers in stroke rehabilitation", Current Directions in Biomedical Engineering, 2020.
, "Mobile Health in Rheumatology: A Patient Survey Study exploring Usage, Preferences, Barriers and eHealth Literacy (Preprint)", JMIR mHealth and uHealth, 2020.
, "Printing Wearable Devices in 2D and 3D: An Overview on Mechanical and Electronic Digital Co-design", IEEE Pervasive Computing, IEEE Xplore, October 2019.
, "Synthesising motion sensor data from biomechanical simulations to investigate motion sensor placement and orientation variations", 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, July 2019.
, "A Bayesian Approach to Rule Mining", arXiv.org, arxiv.org, 2019.
, "A metric for upper extremity functional range of motion analysis in long-term stroke recovery using wearable motion sensors and posture cubics", Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), IEEE Xplore, March 2018.
, "Regression-based, mistake-driven movement skill estimation in Nordic Walking using wearable inertial sensors", Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom), IEEE Xplore, March 2018.
, "Physical Activity Comparison Between Body Sides in Hemiparetic Patients Using Wearable Motion Sensors in Free-Living and Therapy: A Case Series", Frontiers in Bioengineering and Biotechnology, Frontiers, 2018.
, "Longitudinal Walking Analysis in Hemiparetic Patients Using Wearable Motion Sensors: Is There Convergence Between Body Sides?", Frontiers in Bioengineering and Biotechnology, Frontiers, 2018.
, "Wearable sensor-based motion analysis and recovery trend quantification of hemiparetic patients in free-living", Netzwerkkongress der ZD.B Initiativen für die Wissenschaft - Abstractband, ZD.B, 2018.
, "Nordic Walking 2.0 – Inertialsensoren messen Bewegungsqualität", Schriften der Deutschen Vereinigung für Sportwissenschaft (dvs 2017), Feldhaus Edition Czwalina, September 2017.
, "Technologie des capteurs de mouvement appliquée à la rééducation après un AVC pour estimer l’activité et l’indice de Barthel étendu", Kinésithérapie, la Revue, CrossRef, June 2016.