Journal of East China Normal University(Natural Sc ›› 2011, Vol. 2011 ›› Issue (6): 81-88.

• Article • Previous Articles     Next Articles

Analysis of hippocampal ripple osillations by application of Kalman filter

ZHANG Lu, LIN Long-nian   

  1. Key Laboratory of Brain Functional Genomics, Ministry of Education and Shanghai, Institute of Brain Functional Genomics, East China Normal University, Shanghai 200062, China
  • Received:2010-11-01 Revised:2011-01-01 Online:2011-11-25 Published:2011-11-22

Abstract: This paper studied high frequency ripple (100~200 Hz) oscillations in hippocanpal CA1 area by applications of adaptive autoregressive (AAR) model and Kalman filter. Compared with traditional real time frequency analysis of time seies based on short term Fourier transfrom (STFT), improved time and frequency resolutions in time-frequency representation could be achieved by parametric methold obtained by AAR model and Kalman filter algorithms. Thus, the occurance of ripple oscillations and the variation of ripple power could be addresed more accurate by Kalman filter than that of STFT.

Key words: Kalman filter, hippocampal CA1, ripple, real-time frequency analysis

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