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Biomedical Functional Imaging and Neuroengineering Laboratory

College of Science & Engineering > Dept. of Biomedical Engineering


Christopher Wilke
M.D./Ph.D Candidate
wilk0242@umn.edu


Research Interests
  • Brain-computer interface
  • Functional brain mapping
Education
  • B.S.E. Biomedical Engineering, University of Iowa, 2003
Selected Publications
  • Wilke C, Ding L, He B: “Estimation of time-varying connectivity patterns through the use of an adaptive directed transfer function,” IEEE Transactions on Biomedical Engineering, 55: 2557-2564, 2008.
  • Ding L, Wilke C, Xu B, Xu X, van Drongelene W, Kohrman M, He B: “EEG Source Imaging: Correlate Source Locations and Extents with ECoG and Surgical Resections in Epilepsy Patients,” Journal of Clinical Neurophysiology, 24(2):130-136, 2007.
  • Yamawaki N, Wilke C, Hue L, Liu Z, He B: “Enhancement of classification accuracy of a time-frequency approach for an EEG-based brain-computer interface,” Methods of Information in Medicine, 46:155-159, 2007.
  • Yamawaki N, Wilke C, Liu Z, He B: “An enhanced time-frequency approach for motor imagery classification,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2): 250-254, 2006.
  • Yamawaki N, Wilke C, Liu Z and He B, “An improvement of a time-frequency approach for an EEG-based brain-computer interface,” Int. J of Bioelectromagnetism, 2005.
  • Yamawaki N, Wilke C, Hue L, Liu Z, He B, “Enhancement of classification accuracy of a time-frequency approach for an EEG-based brain-computer interface,” Proc. of 5th Int. Workshop Biosignal Interpretation, 2005.
  • Yamawaki N, Wilke C, Liu Z and He B, “Enhancement of performance of an EEG-based brain-computer interface by means of a time-frequency approach,” Proc. of 2nd Int. IEEE EMBS Conf. Neural Engineering (CD-ROM), March, 2005.


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