Now showing items 1-4 of 4

    • Baseline regularized sparse spatial filters 

      Onaran, İbrahim; Ince, N.F.; Cetin, A. Enis (IEEE, 2013)
      The common spatial pattern (CSP) method has large number of applications in brain machine interfaces (BMI) to extract features from the multichannel neural activity through a set of linear spatial projections. These spatial ...
    • Classification of multichannel ECoG related to individual finger movements with redundant spatial projections 

      Onaran, ibrahim; İnce, N. Fırat; Çetin, A. Enis (IEEE, 2011)
      We tackle the problem of classifying multichannel electrocorticogram (ECoG) related to individual finger movements for a brain machine interface (BMI). For this particular aim we applied a recently developed hierarchical ...
    • Extraction of sparse spatial filters using Oscillating Search 

      Onaran, İbrahim; İnce, N. Fırat; Abosch, A.; Çetin, A. Enis (IEEE, 2012)
      Common Spatial Pattern algorithm (CSP) is widely used in Brain Machine Interface (BMI) technology to extract features from dense electrode recordings by using their weighted linear combination. However, the CSP algorithm, ...
    • A novel objective function minimization for sparse spatial filters 

      Onaran, İ.; İnce, N. F.; Çetin, A. Enis (IEEE, 2014)
      Common spatial pattern (CSP) method is widely used in brain machine interface (BMI) applications to extract features from the multichannel neural activity through a set of spatial projections. The CSP method easily overfits ...