tailieunhanh - Báo cáo hóa học: " Editorial Advances in Electrocardiogram Signal Processing and Analysis"

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: Editorial Advances in Electrocardiogram Signal Processing and Analysis | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 69169 5 pages doi 2007 69169 Editorial Advances in Electrocardiogram Signal Processing and Analysis William Sandham 1 David Hamilton 2 Pablo Laguna 3 and Maurice Cohen4 1 Scotsig Glasgow G12 9PF UK 2 Ateeda Limited Edinburgh EH3 8EG UK 3 Department of Electronic Engineering and Communications Zaragoza University 50018 Zaragoza Spain 4 UCSF Fresno Center for Medical Education School of Medicine University of California San Francisco Fresno CA 93701-2302 UsA Received 3 April 2007 Accepted 3 April 2007 Copyright 2007 William Sandham 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. Since itsinvention by the Dutchman Willem Einthoven 1860-1927 during the late 19th and early 20th centuries when it was little more than a scientific curiosity the electrocardiogram ECG has developed into one of the most important and widely used quantitative diagnostic tools in medicine. It is essential for the identification of disorders of the cardiac rhythm extremely useful for the diagnosis and management of heart abnormalities such as myocardial infarction heart attack and it offers helpful clues to the presence of generalized disorders that affect the rest of the body such as electrolyte disturbances and drug intoxication. Recording and analysis of the ECG now involve a considerable amount of signal processing for S N enhancement beat detection and delineation automated classification compression hidden information extraction and dynamic modeling. These involve a whole variety of innovative signal processing methods including adaptive techniques time-frequency and time-scale procedures artificial neural networks and fuzzy logic higher-order statistics and nonlinear schemes fractals hierarchical trees Bayesian