Intelligent technologies for real-time biomedical engineering applications

Intelligent technolog ies are essential for ma ny biomedical engineerin g applications in order to cope with a wide vari ety of pat ient conditions or user disabilit y. The development of advanced optimisation tr aining algorithms such as adaptive optimal Bayesian neural networks is particularly useful when only limited train ing data are ava ilable. Two s pecific biomedical engineering applications will b e presented. The first application concerns th e development of a non-invasive monitor for real-time detection of hypoglycaemic episodes in Type 1 diabetes mellitus patients (T1DM). The second application relates to the deve lopment of real -time hands-free wheelchair control systems using head m ovement to provide m obility independence for seve rely disabled people.