For three years, an interdisciplinary science team of the University of Technology Hambur-Harburg (TUHH) has been researching new methodological approaches to ensure the reliability of medical therapy systems and to increase the technical reliability of telemedical assistance systems.
Self-Organising Mobile Sensor And Wireless Data Networks
To mark the end of funding for “Fail Safety in Ambient Assistance for Recovery (AA4R) in the frame of the R & D project “Selbstorganisierende mobile Sensor- und Datenfunknetze“ (SOMSED/Sellf-Organising Mobile Sensor And Wireless Data Networks), TUHH hosted the Baltic Seminar on Ambient Assisted Recovery (BaSAAR) as part of the Baltic Sea Region agenda of Hamburg. For BaSAAR, the AA4R team invited a dozen medical device specialists from the Baltic Sea Region to discuss future trends in fail-safe ambient assisted recovery and therapy. The goal of the seminar was to lay the foundation for an international research agenda on fail safety in AA4R. Participants included scientist from Aalborg University (Denmark), the Technical University of Denmark, the Royal Technical School of Stockholm and Mälardalen University from Sweden.
Globalisation Of Research In Hamburg
The Ministry of Science and Research of the Free and Hanseatic City of Hamburg has set up a new funding to establish international research collaboration in accordance with the internationalisation strategy of the Senate of Hamburg. Initially, the Baltic Sea Region is in the focus of funding. The goal of the programme is the promotion of joint research proposals, e.g., for Horizon 2020, INTERREG, or ERASMUS+. Telemedicine is a key area of research, and TUHH one of its strongholds. At TUHH, an interdisciplinary team of TUHH researchers and medical partners investigates and develops advanced sensors in implants or placed on the body, fault-tolerant networks to the clinicians, and appropriate security mechanisms for closed-loop scenarios, and pursues their integration into new kinds of medical devices. Their vision: to guarantee fail-safe functioning of sensors, networks, and application software, even for rare faults or under adverse environments.
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