To provide a comprehensive analysis of EEG signals, new methodology was introduced through the development of Neuro Vision, a digital signal processing software for EEG analysis. Neuro Vision reads Spectrum-32 BEG files, displays original EEG traces, performs Single/Multi Channel Analysis via FFT, transforms EEG signals into various digital images, saves them in HSI RAW format, and produces the resulting spectrum data for further statistical analysis. EEG signals from a patient who has a history of seizure disorder were analyzed using Neuro Vision's "Single Channel Analysis" technique. New methods of visualizing the resulting Fourier spectral data were applied to the hippocampal and cortical EEG signals.; Results show that the REM sleep consists of predominately low frequency activity in the range of delta ({dollar}<{dollar}4 Hz) activity and very low theta (4-8Hz) activity compared to other sleep stages. Also, visual and statistical analyses based on the resulting spectra demonstrate that there are generally well defined frequency and amplitude characteristics between different sleep stages. (Abstract shortened by UMI.)
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