Research is Calling Smart medical devices and systems

We are pleased to announce the third “Research is Calling – Smart medical devices and systems” workshop at Berlin. This unique workshop brings young scientists from computer science and medicine together to provide a platform to discuss novel approaches of smart medical devices and systems.

Topics include but are not limited to:

  • Smart sensors for medical applications
  • Low-Power wearable sensors
  • Artificial intelligence for medical applications
  • Medical robots
  • Algorithms for medical applications
  • Applications and case studies


Almodóvar Hotel
Boxhagener Straße 83, 10245 Berlin

Abstract Submission:

Authors can submit their work in form of an abstract of 2 pages in IEEE format. Authors submit their paper in English. Only original papers will be accepted. Authors have to make sure that there is no substantially overlap with other published work or work under review.

Please submit your work here:

Agenda (preliminary):

11:00-11:10         Opening Reichenbach
11:15-11:45         Reichenbach and Schmailzl: Keynote (title is pending)

Session 1
11:50-12:35         Vanessa B. Bastek
                            Title: “Photoplethysmography (PPG) as a measurement tool for heart rate
                            variability (HRV) and it’s prognostic value for the cardiac patient at risk”

12:40-13:25         Daniel Reiser and Marc Reichenbach
                            Title: “Emerging Non-Volatile Memory for Smart Medical Devices”

13:30-14:15        Kwame Owusu Ampadu, Safdar Mahmood, Marc Reichenbach, Michael Hübner
                            Title: “An Application Scenario for Humanoid Robots in Assisted Living
                            Environment: A Checkup”

14:20-14:50         coffee break

Session 2
14:55-15:40         Sabur Safi
                            Title: “Effective Use of Artificial Intelligence (AI)/ Machine Learning (ML) in
                             Psychiatric Diagnosis”

15:45-16:30         Sabur Safi and Thomas Grabenkamp
                            Title: “The Use of AI and ML in Detecting Bipolar Disorder Symptoms”

16:35-17:20         Alina Nechyporenko, Marcus Frohme
                            Title: "Detection of Myocardial Infarction using Machine Learning"

17:25-17:55         Wrap up: Discussion

18:00                   Dinner / Get together


All accepted abstracts will be published by BTU (receiving a DOI) and indexed by Google Scholar.

Important Dates:

Abstract submission deadline: 31.01.2022

Notification of acceptance: 14.02.2022

Workshop: 28.02.2022