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M. Sc. Robbin Romijnders

Room D-016
Kaiserstraße 2, 24143 Kiel, Germany
Phone: +49 431 880-6129
Telefax: +49 431 880-6128
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Research: Automatic Quantification of Symptoms in Parkinson’s Disease

Balance and gait deficits are frequently seen in older adults and can lead to high personal and health care burdens. This PhD project is part of the EU funded Keep Control project which is about specific diagnosis and treatment of age-related gait and balance deficits (www.keep-control.eu; scientific coordinator and local supervisor: Prof. Walter Maetzler, Neurology Department of the University Hospital Schleswig-Holstein, Campus Kiel). 

This project will focus on implementation of a participant-controlled electronic health record, and subsequent testing for feasibility and acceptability among researchers and study participants. As part of testing the acceptability among study participants, Patients Know Best will be used for studying the collection of monthly fall reports via electronic questionnaires. Parallel to these studies we will develop a fall prediction model that in the future can be coupled to the PKB software for at-home fall risk assessment.

 

Related topics:

  • Activity classification
  • Feature extraction
  • Pattern recognition

 

Further interests:

  • Medical information technology
  • Movement biomechanics
  • Wearable sensors

 

Short CV

 
 
Time span   Details  
  2019 - current   Research assistant at the Christian-Albrechts-Universität zu Kiel and Universitätsklinikum Schleswig-Holstein, Kiel, Germany  
  2015 - 2018   Simulation (CAE) engineer at Code Product Solutions, Eindhoven, Netherlands  
  2012 - 2015   M.Sc. in Biomedical Engineering at Eindhoven University of Technology, Eindhoven, Netherlands  
  2008 - 2012   B.Sc. in Biomedical Engineering at Eindhoven University of Technology, Eindhoven, Netherlands  

 

Publications

  1.    

    R. Romijnders, C. Hansen, G. Schmidt, W. Maetzler: Detection of Walking Bouts from Low Back Accelerometry in a Home-Like Assessment, Biosignale Workshop, 2020, Kiel, Germany

  2.    

    Y. Zhou, R. Romijnders, C. Hansen, J. van Campen, W. Maetzler, T. Hortobagyi, C. Lamoth: The detection of age groups by dynamic gait outcomes using machine learning approaches, Scientific Reports, March 2020, doi: 10.1038/s41598-020-61423-2

  3.    

    E.Warmerdam, R.Romijnders, F. Marin, G. Schmidt, W. Maetzler: Quantification of arm swing during walking, Biosignale Workshop, 2020, Kiel, Germany