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Authors
Advisor(s)
Abstract(s)
The problem of controlling the level of unconsciousness measured by the Bispectral Index (BIS) of the EEG
of patients under anaesthesia is considered. The manipulated variable is the infusion rate of the hypnotic
drug propofol. In order to tackle the high uncertainties present in the system, the predictive adaptive
controller MUSMAR is used. The performance of the controller is illustrated by means of simulations
with 50 patient individual adjusted models (nonlinear models), which incorporate the effect of the drugs
interaction on BIS. This work presents a feasibility study of the control of the BIS exploring the above
ideas. These results show that such a control structure can be adequate to control the BIS signal during total
intravenous anaesthesia. The controller was able to adequately achieve and maintain the BIS signal with
different patient dynamics, reference values and noise. A major challenge for the automation of anaesthesia
consists of replicating the experience of the anaesthetist. Clearly, this calls for the use of feedforward
from measurable signals correlated with disturbances (e.g. electromyography—EMG, analgesic drug). The
results also show that the analgesic and EMG have different influences on the performance and therefore
carry different but relevant information.
Description
Keywords
Predictive adaptive control MUSMAR Feedforward action Bispectral Index Anaesthesia Drug delivery
Citation
Nunes, C.S., Mendonça, T., Lemos, J.M. and Amorim, P. (2009), Feedforward adaptive control of the Bispectral Index of the EEG using the intravenous anaesthetic drug propofol. Int. J. Adapt. Control Signal Process., 23: 485-503.
Publisher
John Wiley & Sons Ltd