Algebraic Perspectives Of Background EEG Elimination

Aydin S.

19th International EURASIP Conference (BIOSIGNAL), Brno, Çek Cumhuriyeti, 01 Haziran 2008, ss.98-100 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Brno
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Sayfa Sayıları: ss.98-100
  • Hacettepe Üniversitesi Adresli: Hayır

Özet

Least squares linear mapping (LSLM) algorithm is applied to reduce the background EEG noise on single-trial auditory evoked potentials (EPs) in the present study. Relationships between eigenvalues and spectral signal-to-noise ratio (SNR) are shown where a small number of noisy sweeps are considered as a raw matrix corrupted with additive noise. Results show that the LSLM can be assigned as a pre-filter in single trial EP estimations. Dominant eigenvectors of noisy EPs models the noiseless EP waveforms.