TY  - JOUR
AB  - Intelligent technologies are essential for many biomedical engineering applications in order to cope with a wide variety of patient conditions or user disability. The development of advanced optimisation training algorithms such as adaptive optimal Bayesian neural networks is particularly useful when only limited training data are available. Two specific biomedical engineering applications will be presented. The first application concerns the 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 development of real-time hands-free wheelchair control systems using head movement to provide mobility independence for severely disabled people. Copyright © 2008, Inderscience Publishers.
AU  - Nguyen, HT
DA  - 2008/12/01
DO  - 10.1504/IJAAC.2008.022181
EP  - 285
JO  - International Journal of Automation and Control
PY  - 2008/12/01
SP  - 274
TI  - Intelligent technologies for real-time biomedical engineering applications
VL  - 2
Y1  - 2008/12/01
Y2  - 2026/05/21
ER  -