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Cross Time Frequency Analysis of Autonomic Nervous System Activity. Edition No. 1 - Product Image

Cross Time Frequency Analysis of Autonomic Nervous System Activity. Edition No. 1

  • Published: January 2010
  • Region: Global
  • 272 Pages
  • VDM Publishing House

James Condron completed his PhD in 2004 in Dublin Institute of Technology (DIT) in the field of Biomedical Engineering with particular emphasis on Cohen Class Time Frequency Energy Distributions. James spent 2 years working in MIT Media Lab Europe, where he was appointed as a research fellow and worked as a biomedical engineer for the MindGames group. In 2005 James was appointed to a postdoctoral research position within the School of Electrical Engineering Systems in DIT. Since then he has further developed algorithms in the field of biomedical engineering as well as supervising postgraduate research. He is currently manager of the DIT's bio-potential research facility, where the main focus is the classification of electroencephalograms to facilitate communication by people with degenerative illnesses. He is a founding member of the TeaPOT research group, which focuses on people oriented technologies ( http://teapot.dit.ie ). The group has affiliations with Enable Ireland Dublin as well as a number other Irish universities.

James, Condron.
James Condron completed his PhD in 2004 in Dublin Institute of Technology in the field of Biomedical Engineering. He is currently engaged in postdoctoral research in the areas of Brain Computer Interfaces (BCI's), Rehabilitation Engineering and Physiological Signal Processing
E., Coyle.
James Condron completed his PhD in 2004 in Dublin Institute of Technology in the field of Biomedical Engineering. He is currently engaged in postdoctoral research in the areas of Brain Computer Interfaces (BCI's), Rehabilitation Engineering and Physiological Signal Processing
A., De Paor.
James Condron completed his PhD in 2004 in Dublin Institute of Technology in the field of Biomedical Engineering. He is currently engaged in postdoctoral research in the areas of Brain Computer Interfaces (BCI's), Rehabilitation Engineering and Physiological Signal Processing

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