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

• Authors: Agnieszka Kitlas Golińska
• Languages of publication: EN

Abstracts

EN

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.

• Publisher: Sciendo
• Journal: Studies in Logic, Grammar and Rhetoric
• Year: 2011
• Issue: 25(38)
• Pages: 73-82

Contributors

author

Agnieszka Kitlas Golińska

• Department of Medical Informatics, Institute of Computer Science, University of Bialystok