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EFI Moves: Individualized Diagnostics and Therapy Monitoring in Motion

The vision of the EFIMoves project is to combine modern and multimodal medical technological approaches for a diagnostic workup enabling a qualitative and quantitative assessment of impaired movement allowing a sustainable benchmarking of medical treatment. Mobile and integrated sensor based movement analysis provides a cost-effective, easy applicable, and individualized mobile assessment of any given movement. This sensor-based movement detection will be mirrored by modern high-tech diagnostic approaches using imaging modalities, MRI, biomechanical movement analysis.

This proposed concept has the potential to be applicable to any disorder affecting movement and mobility, however, as a proof-of-principle, the present project will focus on

  • neuronal (e.g. Parkinson’s disease) and

  • musculoskeletal (e.g. Osteoarthritis) related movement

disorders.

Project manager:
Prof. Dr. med. Jürgen Winkler, Prof. Dr. Jochen Klucken

Project participants:
Prof. Dr. Björn Eskofier, Prof. Dr. med. Friedrich Hennig, im Ruhestand, Prof. Dr. Dr. Matthias Lochmann, Pfeifer, Klaus, Prof. Dr. med. Michael Uder, PD Dr. Götz Welsch, OA Dr. med. Holger Keil, Dr. med. Johannes Schlachetzki, PD Dr. Heiko Gaßner, Dr. Cristian Pasluosta, Dr.-Ing. Felix Kluge, Dipl.-Phys. Samuel Reinfelder, Dr.-Ing. Julius Hannink, Ivanna Timotius, M. Sc., Nooshin Haji Ghassemi, M. Sc.

Keywords:
Parkinson; Osteoarthritis; Individualized gait analysis; Gait disorders; Posturography; Inertial sensors; Gyroskopes; Signal processing; Intervention study

Duration: 1.1.2014 - 31.12.2016

Sponsored by:
Emerging Fields Initiative

Contact:
Eskofier, Björn
E-Mail: bjoern.eskofier@fau.de

Institution: Chair of Computer Science 5 (Pattern Recognition)
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