Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article Synchronization between EMG at Different Uterine Locations Investigated Using Time-Frequency Ridge Reconstruction: Comparison of Pregnancy and Labor Contractions | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 242493 10 pages doi 2010 242493 Research Article Synchronization between EMG at Different Uterine Locations Investigated Using Time-Frequency Ridge Reconstruction Comparison of Pregnancy and Labor Contractions Jeremy Terrien 1 Thora Steingrimsdottir 2 Catherine Marque 3 and Brynjar Karlsson1 4 1 School of Science and Engineering Reykjavik University 103 Reykjavik Iceland 2 Department of Obstetrics and Gynecology Landspitali University Hospital 101 Reykjavik Iceland 3 UMR CNRS 6600 Biomecanique et Bio-ingenierie Université de Technologie de Compiegne 60205 Compi egne France 4 Institute of Physiology University of Iceland 101 Reykjavik Iceland Correspondence should be addressed to Jeremy Terrien Received 21 December 2009 Accepted 28 April 2010 Academic Editor Syed Ismail Shah Copyright 2010 Jeremy Terrien et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The extraction of the frequency components of a signal can be useful for the characterization of the underlying system. One method for isolating a frequency component of a signal is by the extraction and reconstruction of the local maxima or ridge of its time-frequency representation. We compare here the performances of two well-known ridge reconstruction methods namely the Carmona and Marseille methods on synthetic signals as well as real electrohysterogram EHG . We show that Carmona s method presents lower reconstruction errors. We then used the separately reconstructed frequency components of the EHG independently for labor prediction using a synchronization measure. We show that the proposed synchronization parameters present similar prediction rate to classical parameters obtained directly from the time-frequency
