Sensor‐based Gait&Fall Assessment in Parkinson’s disease, Sept. 7th 2018

The Symposium will present the current status digital healthcare strategies for Parkinson’s disease patients.

Datum
07. September 2018

Uhrzeit
09.00 - 15.00 Uhr

Adresse
Hörsaal Östliche Stadtmauerstraße 11
Östliche Stadtmauerstr. 11
91054 Erlangen
Gebäude: Hörsaal Stadtmauerst
Raum: Hörsaal

Der Veranstaltungsort ist barrierefrei.
Treppenlift und barrierefreies WC vorhanden. Telefon für Treppenlift: 09131 85-34858

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.

Please let us know, if you want to participate in the workshop (MN‐MoveIT(at)uk‐erlangen.de)

EIT‐Health MoveIT ‐ www.eithealth.eu/moveit and/or www.molekulare‐neurologie.uk-erlangen.de

EIT-Health Symposium Program

09.00	Welcome Jochen Klucken Universitätsklinikum Erlangen, Molecular Neurology, Erlangen, Germany
09.10	ParkinsoNET - next generation HealthCare Bas Bloem Radboud University, Medical Centre, Nijmegen, Netherlands
09.45	Deep Phenotyping in Parkinson‘s Disease - the NCER-PD Cohort Rejko Krüger University of Luxembourg, Luxembourg Centre for Systems Biomedicine (LCSB), and Centre Hospitalier de Luxembourg (CHL), Luxembourg
10.20	Gait & Falls Assessment Battery in PD – objective outcomes for research and care Jochen Klucken Universitätsklinikum Erlangen, Molecular Neurology, Erlangen, Germany
10.45	Coffe Break
11:00	Automatic Fall Detection, Mobility Monitoring, Vital@Home for patient self‐management in daily life Heribert Baldus Philips Research, Eindhoven, Netherlands
11.25	Mobile GaitLab – Clinical gait analysis and its scopes Ralph Steidl CEO Portabiles HealthCare Technologies GmbH, Nuremberg, Germany
11.50	Lunch
12.30	Mobile Platforms for enhanced Implementation of Rehabilitation Exercise Brian Caulfield University College Dublin, School of Public Health, Phys & Sports Sciences, Dublin, Ireland
13.05	Biofeedback-based gait retraining in Parkinson’s Disease Lorenzo Chiari University of Bologna, Department of Electrical, Electronic, and Information Engineering Guglielmo Marconi (DEI) & Director Health Sciences and Technologies - Interdepartmental Center for Industrial Research (HST-ICIR), Bologna, Italy
13.40	Coffee Break
14.00	Artificial Intelligence transfers wearables to HealthCare Applications Björn Eskofier Friedrich-Alexander University Erlangen-Nuremberg (FAU), Head of Machine Learning and Data Analytics (MaD Lab), Erlangen, Germany
14.25	Patient Management Platforms connect People and Technology Christian Weigand Fraunhofer IIS, Erlangen, Germany
14.50	Closing Jochen Klucken Universitätsklinikum Erlangen, Molecular Neurology, Erlangen, Germany