A cepstral transformation technique for dissociation of wide QRS-type ECG signals using DCT

Abstract Given a composite signal obtained by the addition of two periodic sequences with unequal period lengths, we address the problem of detecting the periodicity of one of the constituent rhythms with a relatively low signal power as compared to the dominant periodic component which exhibits wide deflections and large excursions. The cepstrally transformed discrete cosine transform (CTDCT) of the composite sequence is used for the reliable detection of the pulse locations in the low amplitude periodic component even for the case where the signal strengths of the two component rhythms differ by about 60 dB. A typical applicaton of the proposed method for the analysis of electrocardiographic signals with wide QRS deflections is discussed.

[1]  Sarbani Palit,et al.  The singular value decomposition - Applied in the modelling and prediction of quasiperiodic processes , 1994, Signal Process..

[2]  R. Kumaresan,et al.  Singular value decomposition and improved frequency estimation using linear prediction , 1982 .

[3]  B. Chitprasert,et al.  Discrete cosine transform filtering , 1990 .

[4]  Shaw-Jyh Shin,et al.  Assessment of autonomic regulation of heart rate variability by the method of complex demodulation , 1989, IEEE Transactions on Biomedical Engineering.

[5]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[6]  George Carayannis,et al.  Physical interpretation of signal reconstruction from reduced rank matrices , 1991, IEEE Trans. Signal Process..

[7]  M. Ramasubba Reddy,et al.  A QRS estimator using linear prediction approach , 1999, Signal Process..

[8]  Sarbani Palit,et al.  On multiple pattern extraction using singular value decomposition , 1995, IEEE Trans. Signal Process..

[9]  K. R. Rao,et al.  Orthogonal Transforms for Digital Signal Processing , 1979, IEEE Transactions on Systems, Man and Cybernetics.

[10]  J. Miller Numerical Analysis , 1966, Nature.

[11]  N. Ahmed,et al.  Discrete Cosine Transform , 1996 .

[12]  A. Swindlehurst,et al.  Subspace-based signal analysis using singular value decomposition , 1993, Proc. IEEE.

[13]  K. R. Rao,et al.  Discrete cosine transform filtering , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[14]  H. T. Nagle,et al.  A comparison of the noise sensitivity of nine QRS detection algorithms , 1990, IEEE Transactions on Biomedical Engineering.