Digital Support Systems in Sports and Medical Engineering

• Applicant: Professor Dr. Bjoern Eskofier
• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Epidemiology and Medical Biometry/Statistics
• Term: from 2016 to 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 323535657

• Final Report Year: 2022

Final Report Abstract

No abstract available

Publications

• Application of artificial intelligence methods in vital signs analysis of hospitalized patients: A systematic literature review. Applied Soft Computing, Vol. 96. 2020, 106612.
  N. Kaieski, C.A. da Costa, R. da Rosa Righi, P.S. Lora, B.M. Eskofier
  (See online at https://doi.org/10.1016/j.asoc.2020.106612)
• CNN-based Estimation of Sagittal Plane Walking and Running Biomechanics from Measured and Simulated Inertial Sensor Data. Frontiers Bioengineering Vol.8. 2020, 604.
  E. Dorschky, M. Nitschke, C. Martindale, A.J. van den Bogert, A.D. Koelewijn, B.M. Eskofier
  (See online at https://doi.org/10.3389/fbioe.2020.00604)
• Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running? Sensors , Vol. 20. 2020, Issue 19, 5705.
  M. Zrenner, A . Küderle, N. Roth, U. Jensen, B. Duemler, B. M. Eskofier
  (See online at https://doi.org/10.3390/s20195705)
• Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design. Artificial Intelligence in Medicine, Vol. 110. 2020, 101963.
  M.D. Ivanović, J. Hannink, M. Ring, F. Baronio, V. Vukčević, L. Hadžievski, B.M. Eskofier
  (See online at https://doi.org/10.1016/j.artmed.2020.101963)
• From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning. Sensors , Vol. 21. 2021, Issue 9, 3071.
  M. Stoeve, D. Schuldhaus, A. Gamp, C. Zwick, B.M. Eskofier
  (See online at https://doi.org/10.3390/s21093071)
• Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review. Journal of Medical Internet Research, Vol. 23.2021, Issue 11: e24460. J Med Internet Res
  I.A. Yari, T. Dehling, F. Kluge, J. Geck, A. Sunyaev, B.M. Eskofier
  (See online at https://dx.doi.org/10.2196/24460)
• Advancing digital health applications: priorities for innovation in real-world evidence generation. Lancet Digital Health, Vol. 4. 2022, Issue 3, pp. E200-e206.
  A.D. Stern, J. Brönneke, J.F. Debatin, J. Hagen, H. Matthies, S. Patel, I. Clay, B.M. Eskofier, A . Herr, K Hoeller, A Jaksa, DB Kramer, M Kyhlstedt, KT Lofgren, N Mahendraratnam, H. Muehlan, S. Reif, L .Riedemann, J. Goldsack
  (See online at https://doi.org/10.1016/S2589-7500(21)00292-2)
• Behind the Machine’s Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention. Transactions on Machine Learning Research. Accepted October 22. 2022.
  L. Schwinn, B.M. Eskofier, D. Precup, D. Zanca
  
• Federated Learning for Healthcare: Systematic Review and Architecture Proposal. ACM Transactions on Intelligent Systems and Technology, Vol. 13. 2022, Issue 4, Article No.: 54.
  R.S. Antunes, C.A. da Costa, A. Küderle, I.A. Yari, B.M. Eskofier
  (See online at https://doi.org/10.1145/3501813)
• Neural decoding from surface high-density EMG signals: influence of anatomy and synchronization on the number of identified motor units. Journal of Neural Engineering, Vol. 19. 2022, Number 4.
  D.S. de Oliveira, A. Casolo, T.G. Balshaw, S. Maeo, M.B. Lanza, N.R.W. Martin, N. Maffulli, T.M. Kinfe, B.M. Eskofier, J.P. Folland, D. Farina, A. Del Vecchio
  (See online at https://dx.doi.org/10.1088/1741-2552/ac823d)