Self-Learning Fuzzy Control of Atracurium-Induced Neuromuscular Block During Surgery

We have investigated the clinical application of a self-learning fuzzy controller to neuromuscular block during surgery using the infused drug atracurium. Our intelligent fuzzy controller commences with a completely blank 5 by 5 rule base and performs on-line learning of fuzzy control rules for each patient during the course of surgical procedures. Computer simulation studies were used to determine appropriate controller scaling factors and to perform off-line validation of the physical control system. The first known clinical application of this intelligent controller shows superior control performance over our previously reported non-adaptive fuzzy controller