CALL FOR PAPERS
APPLIED SIGNAL PROCESSING - SPRINGER-VERLAG
SPECIAL ISSUE ON BIOMEDICAL SIGNAL PROCESSING
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Guest Editors:
Luciano da F. Costa,
Cybernetic Vision Research Group,
DFI-IFSC, University of Sao Paulo
Caixa Postal 369,
Sao Carlos, SP
13560-970
Brazil
Tel: +55 162 74 9199
Fax: +55 162 71 3616
E-Mail: luciano@ifsc.sc.usp.br
William Sandham,
Department of Electronic and Electrical Engineering,
University of Strathclyde
Glasgow G1 1XW
Scotland
Tel: +44 141 548 2406
Fax: +44 141 552 2487
E-Mail: w.sandham@eee.strath.ac.uk
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The last two decades of scientific development have been characterised
by major advances in biomedical technology. Genetic and biomolecular
engineering have progressed from science fiction to reality, and
diagnostic techniques such as CT, MRI, PET and SPECT, have evolved from
basic research to widespread use in hospitals. Major breakthroughs have
been made in the neural sciences, which have led to a better
understanding of biological neural structures, and the engineering of
more powerful and versatile artificial neural networks and models.
As we enter the 21st century, these technologies are destined to
reach a level of development which will redefine many concepts
and alter the human perspective in an unprecedented way.
Many of these developments have been made possible through major
advances in theoretical and applied signal processing.
Deterministic methods for analysis and synthesis, such as those
based on the short-time Fourier transform and wavelets, have now
reached maturation, and excellent progress has been made using
statistical methods such as Markov random fields, regularization
theory, and Kalman filtering, for noise suppression, signal enhancement
and optimisation.
The advent of new biomedical devices, sensors and families of generic
and dedicated processors have also proven to be essential enabling
technologies for practical applications of such increasingly complex
techniques.
This Special Issue will review the current status of
biomedical signal processing, and address future techniques
and applications. Submissions should either provide a comprehensive
perspective on topics of special relevance (see list below) or
report novel advances in the theory and application of methods and
architectures for biomedical signal processing.
Papers are invited, but are not limited, to the topics listed below:
Biomedical Topics:
* ECGs and EEGs
* Event related (evoked) potentials
* Morphometry
* Neurosciences
* DNA analysis
* Medical imaging
* Tomography and optical imaging
* Microscopy
* Biomagnetism
* Echocardiography
* Radiology and Radiotherapy
* Diagnostic ultrasound
* Biophysics
* Biosensors
Signal Processing Topics:
* Medical informatics
* Mathematical modeling and simulation
* Measurement and medical instrumentation
* Image processing, visualization and computer vision
* Computational neuroscience
* Artificial neural networks
* Chaos and fractals
* Wavelets and time-frequency analysis
* Higher-order statistics
* Non-linear analysis
* Adaptive techniques
Paper Submission:
Prospective authors should prepare their manuscripts in the accepted
ASP format, and send 4 copies to Luciano Costa at the above address.
Papers will be reviewed by senior researchers from industry and
academia.
Schedule:
Paper Submission Deadline 28 February 1998
Notification of Acceptance/Rejection 30 May 1998
Final Submission Deadline 27 August 1998
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The Instructions for Authors can be found at:
http://www.ifsc.sc.usp.br/visao/group/members/luciano/aspinstr.htm
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Prof. Luciano da Fontoura Costa
Coordinator - Cybernetic Vision Research Group
DFI-IFSC, Universidade de Sao Paulo
Caixa Postal 369
Sao Carlos, SP
13560-970
Brazil
e-mail: luciano@ifsc.sc.usp.br
FAX: +55 162 71 3616
WWW: http://www.ifsc.sc.usp.br/visao/group/members/luciano/luciano.htm
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