Veranstaltungen

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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.

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@uk‐erlangen.de)

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

EIT-Health Symposium Program

09.00Welcome
Jochen Klucken

Universitätsklinikum Erlangen, Molecular Neurology, Erlangen, Germany
09.10ParkinsoNET - next generation HealthCare
Bas Bloem

Radboud University, Medical Centre, Nijmegen, Netherlands
09.45Deep 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
10.20Gait & Falls Assessment Battery in PD – objective outcomes for research and care
Jochen Klucken

Universitätsklinikum Erlangen, Molecular Neurology, Erlangen, Germany
10.45Coffe Break
11:00Automatic Fall Detection, Mobility Monitoring, Vital@Home for patient self‐management in daily life
Heribert Baldus

Philips Research, Eindhoven, Netherlands
11.25Mobile GaitLab – Clinical gait analysis and its scopes
Ralph Steidl

CEO Portabiles HealthCare Technologies GmbH, Nuremberg, Germany
11.50Lunch
12.30Mobile Platforms for enhanced Implementation of Rehabilitation Exercise
Brian Caulfield

University College Dublin, School of Public Health, Phys & Sports Sciences, Dublin, Ireland
13.05Biofeedback-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
13.40Coffee Break
14.00Artificial 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
14.25Patient Management Platforms connect People and Technology
Christian Weigand
Fraunhofer IIS, Erlangen, Germany
14.50Closing
Jochen Klucken
Universitätsklinikum Erlangen, Molecular Neurology, Erlangen, Germany

Datum

Datum: 07.09.2018
Uhrzeit: 09.00 - 15.00 Uhr

Raum

Rudolf-Wöhrl-Hörsaal

Adresse

Östliche Stadtmauerstr. 11
91054 Erlangen

Hinweis zum Veranstaltungsort: Treppenlift und barrierefreies WC vorhanden. Telefon für Treppenlift: 09131 85-34858

Zielgruppe

  • Ärzte
  • Medizinisches Fachpersonal
  • Patienten/Öffentlichkeit
  • Pflegekräfte
  • Wissenschaftler

Downloads

Einrichtungen

https://www.eithealth.eu/moveit



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Pressesprecher

Johannes Eissing

Telefon: 09131 85-36102          
E-Mail: presseatuk-erlangen.de

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