Computational and Mathematical Methods in Medicine

Computational and Mathematical Methods in Medicine / 2005 / Article

Open Access

Volume 6 |Article ID 913532 | 36 pages | https://doi.org/10.1080/10273660500533898

Abstract Action Potential Models for Toxin Recognition

Received14 Dec 2005

Abstract

In this paper, we present a robust methodology using mathematical pattern recognition schemes to detect and classify events in action potentials for recognizing toxins in biological cells. We focus on event detection in action potential via abstraction of information content into a low dimensional feature vector within the constrained computational environment of a biosensor. We use generated families of action potentials from a classic Hodgkin–Huxley model to verify our methodology and build toxin recognition engines. We demonstrate that good recognition rates are achievable with our methodology.

Copyright © 2005 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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