Matching Pursuit-Based Time-Variant Bispectral Analysis and its Application to Biomedical Signals

IEEE Transactions on Bio-medical Engineering
Karin SchieckeHerbert Witte

Abstract

Principle aim of this study is to investigate the performance of a matching pursuit (MP)-based bispectral analysis in the detection and quantification of quadratic phase couplings (QPC) in biomedical signals. Nonlinear approaches such as time-variant bispectral analysis are able to provide information about phase relations between oscillatory signal components. Time-variant QPC analysis is commonly performed using Gabor transform (GT) or Morlet wavelet transform (MWT), and is affected by either constant or frequency-dependent time-frequency resolution (TFR). The matched Gabor transform (MGT), which emerges from the incorporation of GT into MP, can overcome this obstacle by providing a complex time-frequency plane with an individually tailored TFR for each transient oscillatory component. QPC analysis was performed by MGT, and MWT was used as the state-of-the-art method for comparison. Results were demonstrated using simulated data, which present the general case of QPC, and biomedical benchmark data with a priori knowledge about specific signal components. HRV of children during temporal lobe epilepsy and EEG during burst-interburst pattern of neonates during quiet sleep were used for the biomedical signal analysis to investiga...Continue Reading

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Citations

Oct 1, 2015·Methods of Information in Medicine·K SchieckeL Leistritz
Jun 17, 2018·Physical Review. E·Vladimir A MaksimenkoAlexander E Hramov

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