Brain Signal Analysis
نویسندگان
چکیده
Artificial neural networks (ANNs) have now been applied to a wide variety of real-world problems in many fields of application. The attractive and flexible characteristics of ANNs, such as their parallel operation, learning by example, associative memory, multifactorial optimization and extensibility, make them well suited to the analysis of biological and medical signals. In this study, we review applications of ANNs to brain signal analysis, for instance, for analysis of the electroencephalogram (EEG) and magnetoencephalogram (MEG), or electromyogram (EMG), and as applied to computed tomographic (CT) images and magnetic resonance (MR) brain images, and to series of functional MR brain images (i.e. fMRI).
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