We participated in the initial discussions as to whether such a device was possible, designed
the realtime processes, and built the machine. This included data collection,
filtering, realtime statistical analyses, as well as innovative displays that allowed personnel
in the operating room to clearly visualize the patient's status.
The idea is based on digitizing the electrical brain waves (EEG) that are measured on the
surface of the scalp. The digitized waveforms are transformed to the frequency domain. As
oxygen-deprived regions of the brain tend to have a signature frequency profile, the machine
looks for this pattern, and updates the displays every few seconds.
