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at - Automatisierungstechnik

Methoden und Anwendungen der Steuerungs-, Regelungs- und Informationstechnik

[AT - Automation Technology: Methods and Applications of Control, Regulation, and Information Technology

Editor-in-Chief: Jumar, Ulrich

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Volume 66, Issue 12


Automation in medicine: from homecare to clinical applications

Walter Karlen
  • Corresponding author
  • 27219 ETH Zürich, Mobile Health Systems Lab (MHSL), Institute of Robotics and Intelligent Systems (IRIS), Department of Health Sciences and Technology, Zürich, Switzerland
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  • Other articles by this author:
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/ Thomas Schauer / Knut Möller / Olaf Simanski
  • Hochschule Wismar – University of Applied Sciences: Technology, Business and Design, RG Automation and Mechatronics (ATM) in the Computational Engineering and Automation (CEA) Group, Wismar, Germany
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Published Online: 2018-11-29 | DOI: https://doi.org/10.1515/auto-2018-0131

About the article

Walter Karlen

Walter Karlen is an Assistant Professor in the Department for Health Sciences and Technology, ETH Zürich, Switzerland where he has been heading the Mobile Health Systems Lab since 2014. He earned a M.Sc. degree in Micro-Engineering and a Ph.D. in Computer, Communication and Information Sciences from EPF Lausanne, Switzerland. Between 2009 and 2014, he was a post-doctoral researcher at the Electrical and Computer Engineering in Medicine research group at the University of British Columbia (UBC) in Vancouver, Canada and at the Biomedical Engineering Research Group at the University of Stellenbosch, South Africa. He is an awardee of the Rising Stars in Global Health program of Grand Challenges Canada (2012), a Killam laureate (2013), and the recipient of a Swiss National Science Foundation (SNSF) professorship (2014). He is a senior member of the IEEE Engineering in Medicine and Biology Society.

Thomas Schauer

Thomas Schauer studied Electrical Engineering at the OvG University Magdeburg in Germany from 1992 to 1997. He received his Ph.D. degree in Mechanical Engineering from the University of Glasgow in Scotland. From December 2001 until April 2006 he was working as research assistant and project leader at the Max Planck Institute for Dynamics of Complex Technical Systems (Magdeburg, Germany) in the Systems and Control Theory Group. Since 2006 he holds a position as senior researcher in the Control Systems Group at the Technische Universität Berlin and he has been the head of the research topic “Rehabilitation Engineering and Assistive Technology”.

Knut Möller

Knut Moeller received the M.S. and Ph.D. degrees in computer science, and the MD in human medicine from the University of Bonn, Bonn, Germany, in 1986, 1991, and 1996, respectively. From 1991 to 1997, he was an Assistant Professor in the Department of Computer Science, at Bonn University, Bonn, Germany, where he was involved in the fields of machine learning, robotics, and image processing. In 1998, he became a Professor of medical informatics at Furtwangen University, Villingen-Schwenningen, Germany, where currently he is the Director of the Institute of Technical Medicine (ITeM), and the Head of the Biomedical Engineering Division. His research interests include amongst others decision support systems, modeling, signal analysis and control. In the last 10 years he has (co-) authored more than 150 journal publications and received more than 7Mio€ research grants. Prof. Moeller is a member of the German Society of Biomedical Engineering (DGBMT) and of the German Association for Electrical, Electronic, and Information Technologies (VDE).

Olaf Simanski

Olaf Simanski studied electrical engineering from 1991–1996 with a specialization in automation at the University of Rostock, where he wrote his dissertation in the field of automation in medicine in 1992. In 2010 he habilitated on the topic “Automatic application of medication in anaesthesia”. In 2011, he moved to Wismar University of Applied Sciences where he held a professorship in automation. His research focuses on the application of automation in industry, the maritime sector and medicine.

Published Online: 2018-11-29

Published in Print: 2018-12-19

Citation Information: at - Automatisierungstechnik, Volume 66, Issue 12, Pages 990–992, ISSN (Online) 2196-677X, ISSN (Print) 0178-2312, DOI: https://doi.org/10.1515/auto-2018-0131.

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