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Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /

6 Issues per year

IMPACT FACTOR 2017: 1.096
5-year IMPACT FACTOR: 1.492

CiteScore 2017: 0.48

SCImago Journal Rank (SJR) 2017: 0.202
Source Normalized Impact per Paper (SNIP) 2017: 0.356

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Volume 60, Issue 3


Volume 57 (2012)

A proposal for patient-tailored supervision of movement performance during end-effector-based robot-assisted rehabilitation of the upper extremities

Michael Hennes
  • Corresponding author
  • Institute of Applied Medical Engineering, Department of Rehabilitation and Prevention Engineering, RWTH Aachen University, 52074 Aachen, Germany
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Kai Bollue / Henry Arenbeck / Catherine Disselhorst-Klug
  • Institute of Applied Medical Engineering, Department of Rehabilitation and Prevention Engineering, RWTH Aachen University, 52074 Aachen, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2014-12-02 | DOI: https://doi.org/10.1515/bmt-2014-0021


Millions of people worldwide suffer from stroke each year. One way to assist patients cost-effectively during their rehabilitation process is using end-effector-based robot-assisted rehabilitation. Such systems allow patients to use their own movement strategies to perform a movement task, which encourages them to do self-motivated training but also allow compensation movements if they have problems executing the movement tasks. Therefore, a patient supervision system was developed on the basis of inertial measurement units and a patient-tailored movement interpretation system. Very light and small inertial measurement units were developed to record the patients’ movements during a teaching phase in which the desired movement is shown to the patient by a physiotherapist. During a following exercise phase, the patient is training the previously shown movement alone with the help of an end-effector-based robot-assisted rehabilitation system, and the patient’s movement is recorded again. The data from the teaching and exercise phases are compared with each other and evaluated by using fuzzy logic tailored to each patient. Experimental tests with one healthy subject and one stroke patient showed the capability of the system to supervise patient movements during the robot-assisted end-effector-based rehabilitation.

Keywords: fuzzy logic; motion capturing; patient supervision; robot-assisted rehabilitation; stroke


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About the article

Corresponding author: Michael Hennes, Institute of Applied Medical Engineering, Department of Rehabilitation and Prevention Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074 Aachen, Germany, Phone: +49 241 80 87235, Fax: +49 241 80 82442, E-mail:

Received: 2014-02-28

Accepted: 2014-10-24

Published Online: 2014-12-02

Published in Print: 2015-06-01

Citation Information: Biomedical Engineering / Biomedizinische Technik, Volume 60, Issue 3, Pages 193–197, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/bmt-2014-0021.

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