Mobile Medical Technologies for integrated emergency and trauma response (MOMENTUM)

Duration:	09/2019 - 05/2023
Funding:	Federal Ministry of Education and Research
Partners:	Innovation Center Computer Assisted Surgery, University of Leipzig University of Leipzig Medical Center, Trauma Sugery University Medical Center Schleswig-Holstein Institute for Electrical Engineering in Medicine, University of Lübeck SurgiTAIX AG ERNW Research GmbH

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Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care BibT_EX
S. Gracla, E. Beck, C. Bockelmann, A. Dekorsy
IEEE, IEEE Wireless Communications and Networking Conference, Austin/Online, USA, 13. - 16. April 2022, DOI
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity BibT_EX
E. Beck, C. Bockelmann, A. Dekorsy
IEEE, IEEE Transactions on Communications, Vol. 69, No. 12, pp. 8214-8227, December 2021, DOI
Towards an integrated emergency medical care using 5G networks BibT_EX
M. Rockstroh, J. Suleder, C. Bockelmann, J. Gaebel, C. Georgi, T. Neumuth, A. Will, R. Wendlandt
DeGruyter, Current Directions in Biomedical Engineering, Vol. 6, No. 3, pp. 5-8, September 2020, DOI
Requirements for 5G Integrated Data Transfer in German Prehospital Emergency Care BibT_EX
J. Gaebel, C. Bockelmann, A. Dekorsy, R. Wendlandt, T. Musiol, J. Neumann, T. Neumuth, M. Rockstroh
DeGruyter, Current Directions in Biomedical Engineering, Vol. 6, No. 3, pp. 9-12, September 2020, DOI
Concrete MAP Detection: A Machine Learning Inspired Relaxation BibT_EX
E. Beck, C. Bockelmann, A. Dekorsy
VDE-Verlag, 24th International ITG Workshop on Smart Antennas (WSA 2020), Vol. 24, Hamburg, Germany, 18. - 20. February 2020, ISBN 978-3-8007-5200-3

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Last change on 11.10.2022 by Admin