title: The intelligent systems in biomedicine laboratory in the Department of Automatic Control and Systems Engineering at the University of Sheffield, UK.
abstract: The group has been engaged in research into modelling and control in biomedicine for many years. Initially, this used quantitative approaches but increasingly this has moved towards qualitative techniques, in particular that of fuzzy logic. The current emphasis is on hybrid models (quantitative/qualitative) and hybrid intelligent algorithms (fuzzy logic, neural networks, evolutionary computing) applied into anaesthesia.
authors.affiliation: Department of Automatic Control and Systems Engineering, The University of Sheffield, UK. d.linkens@shef.ac.uk
authors.forename: D A
authors.initials: DA
authors.lastname: Linkens
authors.forename: M
authors.initials: M
authors.lastname: Mahfouf
mesh_terms: D000465:Algorithms; D000698:Analgesia; D000758:Anesthesia; D001185:Artificial Intelligence; D017143:Fuzzy Logic; D006801:Humans; D009126:Muscle Relaxation; D016571:Neural Networks, Computer; D012121:Respiration, Artificial