Multidimensional analysis of the electroencephalogram using digital signal processing techniques
Dollar, Stephen Edward
Powers, V. Michael
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The first series of results of a major research project for the analysis of the electroencephalogram (EEG) are reported. The requirements of a system capable of real time, multidimensional analysis of the EEG are described. The time and frequency domain computer analysis programs written for the project are discussed. A major result of the research indicates that a significant portion of the EEG is composed of a series of discrete frequency sinusoids. These signals have a spindle shape and their average durations are constant over the frequency range from 14 to 50 Hz, with the exception of sinusoids of 42 Hz. The signals are defined as tegules. The properties of a tegule are defined, as found from experimental results. The anomaly with respect to the 42 Hz tegule is related to the subject's mental state and may be a source of feedback to indicate whether he is thinking or relaxing.
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