Making EEG output on human simulator

The full-scale mannequin based human patient simulator (HPS) had been used widely in clinical participation programs for students and residency in our university. HPS can synthesize vital signs but EEG was excluded in this vitals. EEG is a very important vital sign for increasing requirement of evaluation of the anesthetic depth of the patient. We have developed numerical model based EEG generator and attached it to the forehead of the simulator mannequin. This model can output digital data series for the processing methods such that their algorithms are disclosed and also can output analogue waveforms withdrawn into the BIS monitor electrode in which algorithm was closed. Two models, deterministic and stochastic models were generated. In deterministic model, sinusoidal signal was added in the series of random number and varying sinusoidal percentage complexity of the model was varied. In the stochastic model, a logistic function with having different initial value, and with varying this value the complexity of the logistic function from singular attracter to several power of two until chaotic conditions. In the deterministic autoregressive model, the spectral and amplitude entropy have almost linear response with increasing source randomness. The Lempel-Ziv also expressed a linear response under the range of less than 60% of randomness. The BIS was not responsive in this model. In the stochastic model, the amplitude and BIS showed good response with increasing the number of attractors.