tailieunhanh - Báo cáo hóa học: " Research Article Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 43407 14 pages doi 2007 43407 Research Article Multichannel ECG and Noise Modeling Application to Maternal and Fetal ECG Signals Reza Sameni 1 2 Gari D. Clifford 3 Christian Jutten 2 and Mohammad B. Shamsollahi1 1 Biomedical Signal and Image Processing Laboratory BiSIPL School of Electrical Engineering Sharif University of Technology . Box 11365-9363 Tehran Iran 2 Laboratoire des Images et des Signaux LIS CNRS- UMR 5083 INPG UJF 38031 Grenoble Cedex France 3 Laboratory for Computational Physiology Harvard-MIT Division of Health Sciences and Technology HST Massachusetts Institute of Technology Cambridge MA 02139 USA Received 1 May 2006 Revised 1 November 2006 Accepted 2 November 2006 Recommended by William Allan Sandham A three-dimensional dynamic model of the electrical activity of the heart is presented. The model is based on the single dipole model of the heart and is later related to the body surface potentials through a linear model which accounts for the temporal movements and rotations of the cardiac dipole together with a realistic ECG noise model. The proposed model is also generalized to maternal and fetal ECG mixtures recorded from the abdomen of pregnant women in single and multiple pregnancies. The applicability of the model for the evaluation of signal processing algorithms is illustrated using independent component analysis. Considering the difficulties and limitations of recording long-term ECG data especially from pregnant women the model described in this paper may serve as an effective means of simulation and analysis of a wide range of ECGs including adults and fetuses. Copyright 2007 Reza Sameni 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. 1. INTRODUCTION The .