TY  - JOUR
T1  - Investigating Applying Digital Deadbeat Controller to Automated
Anesthesia Injection System
AU - K. Sabir, Mohannad AU - Alaa Hameed, Rabab 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 19
SP  - 5006
EP  - 5011
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.5006.5011
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.5006.5011
KW  - Digital controller
KW  -Anesthesia feedback control system
KW  -patient’s model anesthesia control system
KW  -external sensors
KW  -CLAN system
KW  -digital
AB  - Anesthesia is not only important for surgery but also for intensive care. The anesthetic agent, e.g.,
a barbiturate is administered intravenous anesthesia to effect. Intravenous anesthesia provides rapid onset,
stable maintenance and rapid recovery compared with inhaled anesthetics. The aim of this research was to
investigate a reliable and safe controller for delivering automatic intravenous anesthesia system using simulated
closed-loop control technology. Drug effect is measured during drug infusion in Closed Loop Anesthesia
(CLAN). This may provide superior safety, better patient care and better quality of anesthesia whilst relieving
the clinician of the need to make recurrent and minor alterations to drug administration. A new and generic
mathematical model (Pharmaco Kinetic/Pharmaco Dynamics PK/PD) of the drug behavior inside the body was
used in simulation of closed-loop control drug pumping. Deadbeat controller is used to control the drug
pumping using the PK/PD patient’s drug effect model and different parameters were investigated to determine
their effects on the final response of the patient to the anesthesia. The investigated parameters are different
levels limiter to limit the control signal (drug infusion) and the number of the digital bits used in the digital
controller that affect the performance of the anesthesia system. These investigating lead to the best values
which give best results. The CLAN system was tested using published data of virtual patients modeled.
MATLAB\R2015 is used to simulate the proposed controller trying to reduce the dependency on external
sensors as a feedback to the control system. The results were very optimistic which lead us to continue the
work in the future using different controllers at a certain sequence to enhance the overall intravenous
anesthesia performance.
ER  -