A feature extraction method for chemical sensors in electronic noses

被引：122

作者：

Carmel, L ^{[1
]}

Levy, S

Lancet, D

Harel, D

机构：

[1] Weizmann Inst Sci, Dept Appl Math & Comp Sci, IL-76100 Rehovot, Israel

[2] Citala Ltd, IL-69710 Tel Aviv, Israel

[3] Weizmann Inst Sci, Dept Mol Genet, IL-76100 Rehovot, Israel

来源：

SENSORS AND ACTUATORS B-CHEMICAL | 2003年 / 93卷 / 1-3期

关键词：

feature extraction; electronic nose; curve fitting; quartz-microbalance sensors; metal-oxide sensors;

D O I：

10.1016/S0925-4005(03)00247-8

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

We propose a new feature extraction method for use with chemical sensors. It is based on fitting a parametric analytic model of the sensor's response over time to the measured signal, and taking the set of best-fitting parameters as the features. The process of finding the features is fast and robust, and the resulting set of features is shown to significantly enhance the performance of subsequent classification algorithms. Moreover, the model that we have developed fits equally well to sensors of different technologies and embeddings, suggesting its applicability to a diverse repertoire of sensors and analytic devices. (C) 2003 Elsevier Science B.V. All rights reserved.

引用

页码：67 / 76

页数：10

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