Indic, P; Dr.Nampoori,V P N(Cochin University Of Science And Technology, November 1, 2000)
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Abstract:
Interfacings of various subjects generate new field ofstudy and research that
help in advancing human knowledge. One of the latest of such fields is
Neurotechnology, which is an effective amalgamation of neuroscience, physics,
biomedical engineering and computational methods. Neurotechnology provides a
platform to interact physicist; neurologist and engineers to break methodology and
terminology related barriers. Advancements in Computational capability, wider
scope of applications in nonlinear dynamics and chaos in complex systems enhanced
study of neurodynamics. However there is a need for an effective dialogue among
physicists, neurologists and engineers.
Application of computer based technology in the field of medicine through
signal and image processing, creation of clinical databases for helping clinicians etc
are widely acknowledged. Such synergic effects between widely separated
disciplines may help in enhancing the effectiveness of existing diagnostic methods.
One of the recent methods in this direction is analysis of electroencephalogram with
the help of methods in nonlinear dynamics. This thesis is an effort to understand the
functional aspects of human brain by studying electroencephalogram. The algorithms
and other related methods developed in the present work can be interfaced with a
digital EEG machine to unfold the information hidden in the signal. Ultimately this
can be used as a diagnostic tool.
Description:
International
School of Photonics, Cochin University of Science and Technology