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

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.
  Kaieski, Naira; da Costa, Cristiano André; da Rosa Righi, Rodrigo; Lora, Priscila Schmidt & Eskofier, Björn
  
• CNN-based Estimation of Sagittal Plane Walking and Running Biomechanics from Measured and Simulated Inertial Sensor Data. Frontiers Bioengineering Vol.8. 2020, 604.
  Dorschky, Eva; Nitschke, Marlies; Martindale, Christine F.; van den Bogert, Antonie J.; Koelewijn, Anne D. & Eskofier, Bjoern M.
  
• 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.
  Zrenner, Markus; Küderle, Arne; Roth, Nils; Jensen, Ulf; Dümler, Burkhard & Eskofier, Bjoern M.
  
• Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design. Artificial Intelligence in Medicine, Vol. 110. 2020, 101963.
  Ivanović, Marija D.; Hannink, Julius; Ring, Matthias; Baronio, Fabio; Vukčević, Vladan; Hadžievski, Ljupco & Eskofier, Bjoern
  
• 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.
  Stoeve, Maike; Schuldhaus, Dominik; Gamp, Axel; Zwick, Constantin & Eskofier, Bjoern M.
  
• 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
  Abdullahi Yari, Imrana; Dehling, Tobias; Kluge, Felix; Geck, Juergen; Sunyaev, Ali & Eskofier, Bjoern
  
• Advancing digital health applications: priorities for innovation in real-world evidence generation. Lancet Digital Health, Vol. 4. 2022, Issue 3, pp. E200-e206.
  Stern, Ariel D.; Brönneke, Jan; Debatin, Jörg F.; Hagen, Julia; Matthies, Henrik; Patel, Smit; Clay, Ieuan; Eskofier, Bjoern; Herr, Annika; Hoeller, Kurt; Jaksa, Ashley; Kramer, Daniel B.; Kyhlstedt, Mattias; Lofgren, Katherine T.; Mahendraratnam, Nirosha
  
• 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.
  Antunes, Rodolfo Stoffel; André da Costa, Cristiano; Küderle, Arne; Yari, Imrana Abdullahi & Eskofier, Björn
  
• 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.
  Oliveira, Daniela Souza de; Casolo, Andrea; Balshaw, Thomas G; Maeo, Sumiaki; Lanza, Marcel Bahia; Martin, Neil R W; Maffulli, Nicola; Kinfe, Thomas Mehari; Eskofier, Bjoern M; Folland, Jonathan P; Farina, Dario & Del Vecchio, Alessandro