Coherence function in biomedical signal processing: a short review of applications in Neurology, Cardiology and Gynecology

The aim of this study is to present a coherence function, which can be used to find common frequencies of two signals and to evaluate the similarity of these signals. Another method is to use wavelet coherence function, which not only can find common frequencies of two signals, but also gives information when these frequencies appear. We would like to demonstrate the usefulness of coherence function in biomedical signal processing - in analysis of EEG, ECG, and uterine contraction activity signals. We have chosen four papers using coherence function in EEG analysis, four in ECG analysis and two in uterine contraction activity signals analysis (where we present some of our original work). Thus, these functions can be useful in analyzing two simultaneously recorded biomedical signals and they can provide some diagnostic value.

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[10]  Xiaodong Li,et al.  On the relationship of non-parametric methods for coherence function estimation , 2008, Signal Process..

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[14]  E. Oczeretko,et al.  Signal Processing Methods in the Analysis of the Uterine Contractility , 2010 .

[15]  Jacob Benesty,et al.  A generalized MVDR spectrum , 2005, IEEE Signal Processing Letters.

[16]  Marta Borowska,et al.  Uterine contraction signals--application of the linear synchronization measures. , 2009, European journal of obstetrics, gynecology, and reproductive biology.

[17]  R Quian Quiroga,et al.  Performance of different synchronization measures in real data: a case study on electroencephalographic signals. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.