Classification of Ion-Channel Signals using Neural Networks

B. Konnanath, P. Knee, A. Spanias, and G. Wichern (USA)

Keywords

Ionchannel sensors, Walsh Transforms, PCA, Neural Networks, Feature Extraction and Pattern Classification.

Abstract

Ion-channel sensors can be used for detection of biochemical agents. A silicon-based ion-channel platform has been developed for stochastic sensing. In this paper, we present techniques to extract appropriate features from sensor data using a combination Walsh-Hadamard transform and Principal Component Analysis. Classification of these features is accomplished using neural network techniques. Results are presented for synthetic data.

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