Digitale Unterstützungssysteme in Sport- und Medizintechnik

• Antragsteller: Professor Dr. Bjoern Eskofier
• Fachliche Zuordnung: Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing ; Epidemiologie und Medizinische Biometrie/Statistik
• Förderung: Förderung von 2016 bis 2021
• Projektkennung: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 323535657

• Erstellungsjahr: 2022

Zusammenfassung der Projektergebnisse

Keine Zusammenfassung vorhanden

Projektbezogene Publikationen (Auswahl)

• 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
  (Siehe online unter 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
  (Siehe online unter 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
  (Siehe online unter 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
  (Siehe online unter 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
  (Siehe online unter 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
  (Siehe online unter 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
  (Siehe online unter 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
  (Siehe online unter 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
  (Siehe online unter https://dx.doi.org/10.1088/1741-2552/ac823d)