Investigating Implantable Glucose Biosensors
Pitfalls: A Fault Tree Analysis Approach
Author(s)
C. G. Siontorou & F. A. Batzias
Abstract
Implantable sensors for glucose monitoring are the first step towards the
development of an implantable closed-loop diabetes control system. Although
significant advances in the designs and chemistries employed to prepare
intravascular and subcutaneous devices have been achieved, the biological
responses can have a dramatic impact on the analytical accuracy of such probes.
With a view to assisting the effective design of such devices for assuring clinical
performance, the causes of implantable glucose sensor failure have been
investigated by means of Fault Tree Analysis (FTA) relying on fuzzy reasoning
to account for uncertainty. The approach suggested may contribute significantly
to the self-optimisation of the measuring equipment from one generation to the
next as it supports the flexible, ad hoc, and tailor made sensor development, thus
potentiating the progress of epidemics from statistics to individualisation.
Keywords: biosensors, fault detection, fuzzy FTA, knowledge processing,
sensitivity decrease, subcutaneous monitoring.
Keywords
Keywords: biosensors, fault detection, fuzzy FTA, knowledge processing,
sensitivity decrease, subcutaneous monitoring.
Related Book
Other papers in this volume
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