ISFET source separation based on linear ICA

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Abstract

This paper addresses the separation of ion activities in ion-selective field transistor (ISFETs) arrays. These solid-state electrochemical sensors are designed to be sensitive to one kind of ion. However, their response is a non-linear function based on a mix of several ion activities found in the solution. Hence, blind source separation (BSS) techniques can be applied to recover the original main ion activity from the mixed response. Although the non-linear recovery problem could be considered difficult at first glance, our work shows how the use of prior knowledge in BSS based on a local ISFET model allows the transformation of the original problem into a linear BSS model through a simple pre-calibration step. In this context, the overall processing system is capable of recovering not only the original main ion activity but also the interfering ion activity, which has classically been treated as noise. Several preliminary experiments based on a linear ICA algorithm look promising. This work is in progress, as a part of the SEWTNG EU project (contract IST-2000-28084). © Springer-Verlag Berlin Heidelberg 2003.

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Bermejo, S. (2003). ISFET source separation based on linear ICA. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2687, 297–304. https://doi.org/10.1007/3-540-44869-1_38

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