My focus for pursuing master degree in Electrical and Computer Engineering

by Forrest Sheng Bao http://fsbao.net

One paper just got accepted: Forrest Sheng Bao, Donald Yu-Chun Lie and Yuanlin Zhang, Automated Recognition and Diagnosis of Epilepsy Using EEG and a Probabilistic Neural Network, 20th IEEE Int'l Conference on Tools with Artificial Intelligence (ICTAI 2008), Nov. 2008, To appear

I will think about something regarding feature selection, such as reliefF.

Presently, I am looking for some cooperation with guys working on EEG signal analysis. Data are what I need right now. If you have sampled a lot of EEG data and are willing to cooperate with me on this or relevant research, please feel free to draw me a line.

Here are some relevant stuff regarding this research.

Time stamp issues in EDF data converted from Stellate SIG format http://narnia.cs.ttu.edu/drupal/node/160
32-, 64- and 128-channel EEG samling system http://narnia.cs.ttu.edu/drupal/node/159
Converting Stellate SIG format EEG data into EDF and ASCII http://narnia.cs.ttu.edu/drupal/node/157
PyWavelets and pywfdb library for biomedical time series analysis http://narnia.cs.ttu.edu/drupal/node/151
Classification and parameters of epileptic EEG http://narnia.cs.ttu.edu/drupal/node/150
Plots of EEG data from a U. Bonn group: http://narnia.cs.ttu.edu/drupal/node/149
Available data source and open source software: http://narnia.cs.ttu.edu/drupal/node/144

I will come back later and add some useful references.