@inproceedings{12fabe2887a24503b7df4f16934e94b5,
title = "Classification of ion-channel signals using neural networks",
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.",
keywords = "Feature extraction and pattern classification, Ion-channel sensors, Neural networks, PCA, Walsh transforms",
author = "B. Konnanath and P. Knee and Andreas Spanias and G. Wichern",
year = "2009",
month = dec,
day = "1",
language = "English (US)",
isbn = "9780889867888",
series = "Proceedings of the 6th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2009",
pages = "19--22",
booktitle = "Proceedings of the 6th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2009",
note = "6th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2009 ; Conference date: 17-02-2009 Through 19-02-2009",
}