Development of new research software for real-time raw electroencephalogram analysis

This work purposes a tool that automatically analyses biomedical signals by applying pre-defined mathematic formulas and algorithms. This tool was developed for allowing a faster EEG signal processing towards the development of an index for monitoring depth of anesthesia in animals, and was tested with preliminary data from 8 dogs. This software automatically synchronizes the EEG signal with the time frames and clinical events desired, and automatically applies the mathematical formulas pre-defined by the operator, displaying the results of the signal processing in real-time. This allows the operator to switch between different EEG algorithms analysis in real-time, and select the algorithm that best fits the stage of anesthesia at each moment. During the development of this software application it was created a color scheme using five different colors based on five different clinical depth of anesthesia planes. This color scheme was linked to a composite permutation entropy index (CPEI) value, allowing a direct correlation between different levels of anesthesia depth and the color grading scale. Although this software was only used for EEG data analysis, it has the potential of being used for analyze other biological signals in real time.