EIT Health MoveIT Symposium - Sept. 7, 9.00-15.00, Erlangen

EIT Health MoveIT Symposium “Sensor‐based Gait&Fall Assessment in Parkinson’s disease”

Date: September 7th 2018 - 9.00‐15.00
Venue: University Hospital Erlangen, Rudolf‐Wöhrl‐Hörsaal, Östliche Stadtmauerstraße 11, 91054 Erlangen, Germany
Registration: please register by confirming your attendance (MN‐MoveIT@uk‐erlangen.de); more info: www.molekulare‐neurologie.uk‐erlangen.de

Topic:
The Symposium will present the current status digital healthcare strategies for Parkinson’s disease patients. The relevant aspects of instrumented outcome analysis will be covered for gait&falls, IT‐based connected health concepts, and improved patient care using digital health technologies. The most recent advances in integrated care concepts as well as novel developments of healthcare technologies will be addressed. The goal is to update healthcare professionals, patient representatives, as well as researchers from industry and academia on digital health aspects of sensor‐based gait&fall assessment strategies for clinical studies and care.

Speakers:

• Bas Bloem, Radboud University, Medical Centre, Nijmegen, Netherlands: ParkinsonNet ‐ next generation HealthCare
• Rejko Krüger, University of Luxembourg, Luxembourg Centre for Systems, Biomedicine (LCSB), and Centre Hospitalier de Luxembourg (CHL), Luxembourg: Deep Phenotyping for Stratification in Parkinson‘s Disease – the NCER‐PD Cohort
• Brian Caulfield, University College Dublin, School of Public Health,Phys & Sports Sciences, Dublin, Ireland: Mobile Platforms for enhanced Implementation of Rehabilitation Exercise
• Jochen Klucken, University Hospital Erlangen, Molecular Neurology, Erlangen, Germany: Gait & Falls Assessment Battery in PD – objective outcomes for research and care
• Björn Eskofier, Friedrich‐Alexander University Erlangen‐Nuremberg (FAU), Machine Learning and Data Analytics Lab (MaD Lab), Erlangen, Germany: Artificial Intelligence transfers wearables to HealthCare Applications
• Ralph Steidl, CEO Portabiles HealthCare GmbH, Nuremberg, Germany: Mobile GaitLab – Clinical gait analysis and its scopes
• Christian Weigand, Fraunhofer IIS, Erlangen, Germany: Patient Management Platforms connect People and Technology
• Heribert Baldus, Philips Research, Eindhoven, Netherlands: Automatic Fall Detection, Mobility Monitoring, Vital@Home for patient self‐management in daily life

For further information also see document attached.