EURASIP Journal on Applied Signal Processing
  Special Issue on
  Advances in Electrocardiogram Signal Processing and Analysis
  Call for Papers

Since its invention in the 19th century 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 offers helpful clues to the presence of generalised disorders that affect the rest
of the body, such as electrolyte disturbances and drug intoxication.

Recording and analysis of the ECG now involves a considerable amount of signal processing
for S/N enhancement, beat detection, automated classification, and compression. 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 approaches, and parametric models, amongst others.

This special issue will review the current status of ECG signal processing and analysis,
with particular regard to recent innovations. It will report major achievements of academic
and commercial research institutions and individuals, and provide an insight into future
developments within this exciting and challenging area.

This special issue will focus on recent developments in this key research area.
Topics of interest include (but are not limited to):

 o Beat (QRS complex) detection
 o ECG compression
 o Denoising of ECG signals
 o Morphological studies and classification
 o ECG modeling techniques
 o Expert systems and automated diagnosis
 o QT interval measurement and heart-rate variability
 o Arrhythmia and ischemia detection and analysis
 o Interaction between cardiovascular signals (ECG, blood pressure, respiration, etc.)
 o Intracardiac ECG analysis (implantable cardiovascular devices, and pacemakers)
 o ECGs and sleep apnoea
 o Real-time processing and instrumentation
 o ECG telemedicine and e-medicine
 o Fetal ECG detection and analysis
 o Computational tools and databases for ECG education and research

Authors should follow the EURASIP JASP manuscript format described
at the journal site http://www.hindawi.com/journals/asp/. Prospective
authors should submit an electronic copy of their complete manuscript
through the EURASIP JASP's manuscript tracking system at journal's web
site, according to the following timetable.

  Manuscript Due            May 1, 2006
  Acceptance Notification   September 1, 2006
  Final Manuscript Due      December 1, 2006
  Publication Date          1st Quarter, 2007

Guest Editors:

 William Sandham, Scotsig, Glasgow G12 9pf, UK; w.sandham@scotsig.co.uk

 David Hamilton, Department of Electronic and Electrical Engineering,
 University of Strathclyde, Glasgow G1 1XW, UK; d.hamilton@eee.strath.ac.uk

 Pablo Laguna Lasaosa, Departmento de Ingenieria Electronica y Communicaciones,
 Universidad de Zaragoza, 50015 Zaragoza, Spain; laguna@unizar.es

 Maurice Cohen, University of California, San Francisco, USA;
 mcohen@fresno.ucsf.edu