Title: Intelligent technologies for real-time biomedical engineering applications

Authors: Hung Tan Nguyen

Addresses: Electrical Engineering, University of Technology, Sydney, Sydney, 2007 New South Wales, Australia

Abstract: 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.

Keywords: biomedical engineering; artificial intelligence; hypoglycaemia detection; hands-free wheelchair control; non-invasive monitoring; type 1 diabetes mellitus; patient monitoring; head movement; mobility independence; severely disabled; neural networks; intelligent bioengineering.

DOI: 10.1504/IJAAC.2008.022181

International Journal of Automation and Control, 2008 Vol.2 No.2/3, pp.274 - 285

Published online: 22 Dec 2008 *

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