
Computational Inverse Problems in Electrocardiology
P.R. Johnston(Editor)
WIT Press
Published on 31. May 2000
Book
Hardback
304 pages
978-1-85312-614-7 (ISBN)
Description
The inverse problem of electrocardiography is an important issue in the diagnosis of cardiac electrical conduction defects and other cardiac related health issues. An accurate solution to this problem provides an important addition to methods of pinpointing regions of tissue damage following acute myocardial infarction or establishing the sites of ectopic beats. However, before such technology can be placed in the hands of clinicians, considerable developmental work must be performed in the areas of applied mathematics, computation, physics and engineering. This book provides a survey of llate 20th-century advances in these areas and highlights ongoing research and problems to be overcome before such accurate solutions can be obtained. It is primarily intended for researchers and graduate students in biomedical engineering, and for clinicians who wish to apply these techniques in their work.
More details
Series
Language
English
Place of publication
Southampton
United Kingdom
Target group
College/higher education
Professional and scholarly
Illustrations
illustrations
Dimensions
Height: 230 mm
Width: 155 mm
ISBN-13
978-1-85312-614-7 (9781853126147)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
The Spatial Covariance Used in Computing the Pericardial Potential Distribution Adaptive Finite Element and Local Regularisation Methods for the Inverse ECG Problem On the Feasibility of Solving Electrocardiographic Inverse Problems Using LapLacian ECG The L-Curve and its Use in the Numerical Treatment of Inverse Problems Myocardial Activation Imaging A Comparison of Methods for Regularisation Parameter Determination in the Inverse Problem of Electrocardiography Validation Approaches for Electrocardiographic Inverse Problems Clinical Applications of the Inverse Problem.