Electroencephalograms (EEGs) are becoming increasingly important
measurements of brain activity and they have great potential for the
diagnosis and treatment of mental and brain diseases and abnormalities.
With appropriate interpretation methods they are emerging as a key
methodology to satisfy the increasing global demand for more affordable
and effective clinical and healthcare services.
Developing and understanding advanced signal processing techniques for
the analysis of EEG signals is crucial in the area of biomedical
research. This book focuses on these techniques, providing expansive
coverage of algorithms and tools from the field of digital signal
processing. It discusses their applications to medical data, using
graphs and topographic images to show simulation results that assess the
efficacy of the methods.
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